{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Full Inversion Method for a single chromosome using OpenMiChroM\n", "\n", "\n", "##### This tutorial enables performing Full Inversion Method using Adam (First-order optimization) " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The first step is to import the OpenMiChroM modules. \n", "\n", "To install OpenMM and OpenMiChroM, follow the [instalation guide](https://open-michrom.readthedocs.io/en/latest/#)\n", "\n", "The inputs and apps used in this tutorial can be downloaded [here](https://github.com/junioreif/OpenMiChroM/tree/main/Tutorials/Full_Inversion_Optimization)\n", "\n", "Adam optimization is available in OpenMichroM versions >= 1.0.5 \n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from OpenMiChroM.ChromDynamics import MiChroM # OpenMiChroM simulation module\n", "from OpenMiChroM.Optimization import AdamTraining # Adam optimization module\n", "from OpenMiChroM.CndbTools import cndbTools # Analysis' tools module\n", "\n", "# modules to load and plot\n", "import matplotlib.pyplot as plt\n", "import matplotlib as mpl\n", "from sklearn.preprocessing import normalize\n", "import numpy as np\n", "import pandas as pd\n", "import h5py" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "To create a model trained by the Full Inversion Method using Adam optimization 3 files are required:\n", "\n", "1. The experimental Hi-C matrix in text format (dense file) \n", "2. The sequence file \n", "3. Initial force field\n", "\n", "In the next steps we will create/extract theses files.\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "*1. Extract the experimental Hi-C matrix*\n", "\n", "A Hi-C file is required for the analysis and training of the Full inversion optmization. The file format chosen here is a matrix .txt file (we will call it the dense file)." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "For this tutorial, we will use chromosome 10 from GM12878 cell line in 100 kb resolution. \n", "\n", "To extract it from the .hic file we can use juicer_tools with this command: \n", "\n", "\n", "java -jar juicer_tools_1.22.01.jar dump observed Balanced -d https://hicfiles.s3.amazonaws.com/hiseq/gm12878/in-situ/combined.hic 10 10 BP 100000 input/chr10_100k.dense\n", "\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARN [2022-09-14T13:46:43,872] [Globals.java:138] [main] Development mode is enabled\n", "INFO [2022-09-14T13:46:47,853] [DirectoryManager.java:179] [main] IGV Directory: /Users/mm146/igv\n", "INFO [2022-09-14T13:46:48,195] [HttpUtils.java:937] [main] Range-byte request succeeded\n" ] } ], "source": [ "%%bash\n", "java -jar apps/juicer_tools_1.22.01.jar dump observed Balanced -d https://hicfiles.s3.amazonaws.com/hiseq/gm12878/in-situ/combined.hic 10 10 BP 100000 input/chr10_100k.dense" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "This command accesses part of the .hic file from the web and extracts the chromosome 10 in .dense format to the folder \"input/\".\n", "\n", "You can get more information about it at the [JuicerTools documentation](https://github.com/aidenlab/juicer/wiki/Juicer-Tools-Quick-Start). " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Visualize the .dense file for inspection" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "number of beads: 1356\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "filename = 'input/chr10_100k.dense'\n", "hic_file = np.loadtxt(filename)\n", "\n", "r=np.triu(hic_file, k=1) \n", "r[np.isnan(r)]= 0.0\n", "r = normalize(r, axis=1, norm='max') \n", "rd = np.transpose(r) \n", "r=r+rd + np.diag(np.ones(len(r)))\n", "print(\"number of beads: \", len(r))\n", "plt.matshow(r,norm=mpl.colors.LogNorm(vmin=0.0001, vmax=r.max()),cmap=\"Reds\") \n", "plt.colorbar()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The Hi-C map has a resolution of 100 kb per bead, so this chromosome 10 model has a polymer chain with a total of 1356 beads." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "*2. Create the sequence file*\n", "\n", "The second required input is the sequence file. \n", "\n", "The sequence file is a 2 colunms text file that labels each bead of your polymer chain.\n", "\n", "In OpenMiChroM, each bead must be assigned a chromatin type. In the full inversion method each pair of interaction is trained individually and therefore each bead is unique. \n", "\n", "To create the sequence file for chr10 (1356 beads) use the following bash command:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "vscode": { "languageId": "perl" } }, "outputs": [], "source": [ "%%bash\n", "rm input/seq_chr10\n", "for i in {1..1356}; do echo \"$i Bead$i\" >> input/seq_chr10; done " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "This command creates a file inside the folder \"input\" named seq_chr10.\n", "\n", "The first column is the index for each bead and the second column is the flavor (or type) for each bead. In this tutorial, we chose the names as beadX, where X is the index. You can choose any name for the beads as long as each name is unique. Additionally, you will need to have all names in the force field file (next step)." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 Bead1\n", "2 Bead2\n", "3 Bead3\n", "4 Bead4\n", "5 Bead5\n", "6 Bead6\n", "7 Bead7\n", "8 Bead8\n", "9 Bead9\n", "10 Bead10\n" ] } ], "source": [ "%%bash\n", "head input/seq_chr10" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "*3. Create the initial force field file*\n", "\n", "Last but not least, we will create the third required file, the initial force field. The force field is represented by a $N \\times N$ matrix, where it pair $(i,j)$ is the interaction between beads $i$ and $j$.\n", "\n", "This file format is a csv-file with 1 header line, delimited by comma (\",\").\n", "\n", "To be simple, as a tutorial must be, the initial force field will have all entries equal to $0$.\n", "\n", "(In the end of this tutorial, we present a smarter method to fix certain interactions and to solve the centromere problem)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1356 rows × 1356 columns

\n", "
" ], "text/plain": [ " Bead1 Bead2 Bead3 Bead4 Bead5 Bead6 Bead7 Bead8 Bead9 Bead10 \\\n", "0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... ... ... ... ... ... ... \n", "1351 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1352 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1353 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1354 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1355 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "\n", " ... Bead1347 Bead1348 Bead1349 Bead1350 Bead1351 Bead1352 \\\n", "0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "2 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "3 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "4 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... ... ... ... \n", "1351 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1352 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1353 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1354 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1355 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "\n", " Bead1353 Bead1354 Bead1355 Bead1356 \n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "1351 0.0 0.0 0.0 0.0 \n", "1352 0.0 0.0 0.0 0.0 \n", "1353 0.0 0.0 0.0 0.0 \n", "1354 0.0 0.0 0.0 0.0 \n", "1355 0.0 0.0 0.0 0.0 \n", "\n", "[1356 rows x 1356 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#read the sequence file\n", "seq = np.loadtxt(\"input/seq_chr10\", dtype=str)[:,1]\n", "pol_size = len(seq)\n", "#create a NxN matrix fill with zeros, where N is the chromossome lenght\n", "data = np.zeros((pol_size,pol_size))\n", "#transform it in a Pandas dataframe using the sequence names as header\n", "lamb = pd.DataFrame(data, columns=seq)\n", "#save to a csv file format in the \"input\" folder\n", "lamb.to_csv(\"input/lambda_1\", index=False)\n", "lamb" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "With all required files inside the \"input\" folder, we can start to make iterations to converge the force field. The pipeline for this optimization is the following: " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ " " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The next step is to carry out simulations to obtain a contact map from an ensemble of simulated structures. Multiple simulations are required in order to get a converged contact map in each iteration.\n", "\n", "Here we will show how to run a single chromosome simulation and run one iteration of the Adam optimization procedure." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "To initiate MiChroM, we need to setup some variables:\n", "\n", "**time_step=0.01** (the time step used for integration, default is 0.01)
\n", "**temperature=1** (set the temperature of your simulation)
\n", "**name='opt_chr10_100K'** (the simulation name)
" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " *************************************************************************************** \n", " **** **** *** *** *** *** *** *** OpenMiChroM-1.0.5 *** *** *** *** *** *** **** **** \n", "\n", " OpenMiChroM is a Python library for performing chromatin dynamics simulations. \n", " OpenMiChroM uses the OpenMM Python API, \n", " employing the MiChroM (Minimal Chromatin Model) energy function. \n", " The chromatin dynamics simulations generate an ensemble of 3D chromosomal structures \n", " that are consistent with experimental Hi-C maps, also allows simulations of a single \n", " or multiple chromosome chain using High-Performance Computing \n", " in different platforms (GPUs and CPUs). \n", " OpenMiChroM documentation is available at https://open-michrom.readthedocs.io \n", "\n", " OpenMiChroM is described in: Oliveira Junior, A. B & Contessoto, V, G et. al. \n", " A Scalable Computational Approach for Simulating Complexes of Multiple Chromosomes. \n", " Journal of Molecular Biology. doi:10.1016/j.jmb.2020.10.034. \n", " and \n", " Oliveira Junior, A. B. et al. \n", " Chromosome Modeling on Downsampled Hi-C Maps Enhances the Compartmentalization Signal. \n", " J. Phys. Chem. B, doi:10.1021/acs.jpcb.1c04174. \n", "\n", " Copyright (c) 2022, The OpenMiChroM development team at \n", " Rice University \n", " *************************************************************************************** \n" ] } ], "source": [ "sim = MiChroM(name='opt_chr10_100K',temperature=1.0, time_step=0.01)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now we need to setup the platform that we will use. The options are:\n", "\n", "**platform=\"cuda\"** (remember that you need to install CUDA in your system)
\n", "**GPU=\"0\" (optional)** (if you have more than one GPU device, you can set which gpu you want [\"0\", \"1\",...,\"n\"])
\n", "**platform=\"cpu\"**
\n", "**platform=\"opencl\"**
" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "sim.setup(platform=\"opencl\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Set the folder name where the output will be saved" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "sim.saveFolder('iteration_1')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The next step is to setup your chromosome sequence and the initial configuration" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "mychro = sim.createSpringSpiral(ChromSeq=\"input/seq_chr10\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Load the initial structure into the \"sim\" object" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "sim.loadStructure(mychro, center=True)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now it is time to include the force field in the simulation object \"sim\".\n", "\n", "Let's separate the forces in two sets:\n", "\n", "**Homopolymer Potentials** " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "sim.addFENEBonds(kfb=30.0)\n", "sim.addAngles(ka=2.0)\n", "sim.addRepulsiveSoftCore(Ecut=4.0)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "**Chromosome Potential**\n", "\n", "In this tutorial, we will use the CustomTypes potential.
\n", "Here you need to insert the force field file that contains a matrix of interactions for each bead. \n", "For each iteration of the optimization of the parameters, a new force field file will be created.\n", "\n", "To check that, you can look on the documentation https://open-michrom.readthedocs.io/en/latest/OpenMiChroM.html#OpenMiChroM.ChromDynamics.MiChroM.addCustomTypes
" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "sim.addCustomTypes(mu=3.22, rc = 1.78, TypesTable='input/lambda_1')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Note: these values for $mu$ and $r_c$ were calculated for human GM12878 cells and can be changed for other species." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The last potential to be added is the spherical restraint in order to collapse the initial structure" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "sim.addFlatBottomHarmonic(kr=5*10**-3, n_rad=8.0)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now we will run a short simulation in order to get a collapsed structure." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "There are two variables that control the chromosome simulation steps:\n", "\n", "**block:** The number of time steps performed in each cycle (n_blocks)
\n", "**n_blocks:** The number of blocks that will be perfomed.
\n", "\n", "In this example, to perfom the collapse we will run $5\\times10^2 \\times 10^3 = 5\\times10^5$ time steps" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "block = 5*10**2 \n", "n_blocks = 10**3" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We can save the radius of gyration of each block to observe the convergence into the collapsed state (the time required here depends on the size of your chromosome)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "rg = []" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of exceptions: 1355\n", "adding force FENEBond 0\n", "adding force AngleForce 1\n", "Add exclusions for RepulsiveSoftCore force\n", "adding force RepulsiveSoftCore 2\n", "Add exclusions for CustomTypes force\n", "adding force CustomTypes 3\n", "adding force FlatBottomHarmonic 4\n", "Positions... \n", " loaded!\n", "potential energy is 31.227323\n", "bl=0 pos[1]=[103.8 -6.9 1.7] dr=1.22 t=0.0ps kin=1.51 pot=31.48 Rg=73.005 SPS=2934 \n", "bl=0 pos[1]=[103.3 -6.6 4.0] dr=1.86 t=0.0ps kin=1.61 pot=31.24 Rg=71.826 SPS=14103 \n", "bl=0 pos[1]=[101.9 -6.3 5.2] dr=1.91 t=0.0ps kin=1.72 pot=30.91 Rg=70.422 SPS=14505 \n", "bl=0 pos[1]=[100.7 -6.0 4.7] dr=1.96 t=0.0ps kin=1.85 pot=30.57 Rg=68.921 SPS=13752 \n", "bl=0 pos[1]=[99.3 -4.6 4.8] dr=1.98 t=0.0ps kin=1.89 pot=30.12 Rg=67.367 SPS=14440 \n", "bl=0 pos[1]=[97.6 -2.7 6.1] dr=1.97 t=0.0ps kin=1.93 pot=29.76 Rg=65.807 SPS=15452 \n", "bl=0 pos[1]=[94.9 -0.6 7.3] dr=1.95 t=0.0ps kin=1.88 pot=29.37 Rg=64.273 SPS=15480 \n", "bl=0 pos[1]=[92.4 -0.5 7.3] dr=1.90 t=0.0ps kin=1.90 pot=28.95 Rg=62.808 SPS=17235 \n", "bl=0 pos[1]=[90.7 -0.5 8.5] dr=1.88 t=0.0ps kin=1.85 pot=28.62 Rg=61.385 SPS=17314 \n", "bl=0 pos[1]=[87.8 -0.5 9.4] dr=1.84 t=0.0ps kin=1.86 pot=28.22 Rg=60.033 SPS=17292 \n", "bl=0 pos[1]=[84.3 0.1 9.3] dr=1.85 t=0.0ps kin=1.84 pot=27.90 Rg=58.697 SPS=16504 \n", "bl=0 pos[1]=[81.1 -0.8 10.5] dr=1.82 t=0.0ps kin=1.83 pot=27.56 Rg=57.382 SPS=17570 \n", "bl=0 pos[1]=[80.2 -0.7 11.4] dr=1.84 t=0.0ps kin=1.83 pot=27.28 Rg=56.065 SPS=17480 \n", "bl=0 pos[1]=[76.9 -0.5 12.9] dr=1.81 t=0.0ps kin=1.75 pot=26.99 Rg=54.792 SPS=17399 \n", "bl=0 pos[1]=[74.3 -1.3 13.2] dr=1.76 t=0.0ps kin=1.81 pot=26.73 Rg=53.565 SPS=17461 \n", "bl=0 pos[1]=[72.6 -2.9 13.8] dr=1.75 t=0.0ps kin=1.77 pot=26.44 Rg=52.331 SPS=17060 \n", "bl=0 pos[1]=[71.5 -3.3 13.5] dr=1.75 t=0.0ps kin=1.74 pot=26.15 Rg=51.107 SPS=17400 \n", "bl=0 pos[1]=[68.8 -3.8 11.8] dr=1.68 t=0.0ps kin=1.72 pot=25.95 Rg=49.951 SPS=17750 \n", "bl=0 pos[1]=[66.9 -4.5 9.5] dr=1.65 t=0.0ps kin=1.72 pot=25.77 Rg=48.878 SPS=17742 \n", "bl=0 pos[1]=[64.2 -3.6 8.1] dr=1.65 t=0.0ps kin=1.75 pot=25.55 Rg=47.822 SPS=16747 \n", "bl=0 pos[1]=[61.7 -4.1 7.5] dr=1.66 t=0.0ps kin=1.74 pot=25.36 Rg=46.750 SPS=17638 \n", "bl=0 pos[1]=[60.6 -6.5 6.7] dr=1.62 t=0.0ps kin=1.71 pot=25.15 Rg=45.736 SPS=17850 \n", "bl=0 pos[1]=[60.4 -5.4 5.8] dr=1.59 t=0.0ps kin=1.73 pot=24.94 Rg=44.822 SPS=18043 \n", "bl=0 pos[1]=[58.9 -5.2 5.9] dr=1.58 t=0.0ps kin=1.68 pot=24.76 Rg=43.940 SPS=17832 \n", "bl=0 pos[1]=[56.6 -6.0 7.6] dr=1.57 t=0.0ps kin=1.69 pot=24.60 Rg=43.033 SPS=17849 \n", "bl=0 pos[1]=[55.1 -6.4 9.9] dr=1.57 t=0.0ps kin=1.61 pot=24.47 Rg=42.106 SPS=17763 \n", "bl=0 pos[1]=[52.5 -6.8 9.0] dr=1.55 t=0.0ps kin=1.62 pot=24.29 Rg=41.198 SPS=17837 \n", "bl=0 pos[1]=[51.0 -6.2 8.0] dr=1.54 t=0.0ps kin=1.67 pot=24.18 Rg=40.336 SPS=17422 \n", "bl=0 pos[1]=[48.7 -5.3 7.5] dr=1.56 t=0.0ps kin=1.63 pot=24.06 Rg=39.490 SPS=17423 \n", "bl=0 pos[1]=[46.6 -4.3 7.5] dr=1.54 t=0.0ps kin=1.62 pot=23.91 Rg=38.646 SPS=15926 \n", "bl=0 pos[1]=[44.4 -3.6 7.2] dr=1.51 t=0.0ps kin=1.61 pot=23.80 Rg=37.834 SPS=16716 \n", "bl=0 pos[1]=[42.9 -2.7 8.8] dr=1.51 t=0.0ps kin=1.61 pot=23.65 Rg=36.994 SPS=17139 \n", "bl=0 pos[1]=[43.0 -3.7 9.1] dr=1.50 t=0.0ps kin=1.56 pot=23.51 Rg=36.191 SPS=17881 \n", "bl=0 pos[1]=[43.1 -3.6 9.2] dr=1.49 t=0.0ps kin=1.60 pot=23.43 Rg=35.413 SPS=16878 \n", "bl=0 pos[1]=[43.1 -3.9 10.7] dr=1.47 t=0.0ps kin=1.63 pot=23.29 Rg=34.688 SPS=16727 \n", "bl=0 pos[1]=[44.2 -3.5 10.3] dr=1.43 t=0.0ps kin=1.60 pot=23.21 Rg=34.001 SPS=17193 \n", "bl=0 pos[1]=[43.0 -3.0 10.9] dr=1.44 t=0.0ps kin=1.53 pot=23.17 Rg=33.324 SPS=17711 \n", "bl=0 pos[1]=[41.3 -2.6 11.7] dr=1.41 t=0.0ps kin=1.58 pot=23.07 Rg=32.712 SPS=17386 \n", "bl=0 pos[1]=[40.7 -3.8 12.6] dr=1.41 t=0.0ps kin=1.58 pot=23.00 Rg=32.084 SPS=16220 \n", "bl=0 pos[1]=[40.2 -5.3 12.9] dr=1.41 t=0.0ps kin=1.53 pot=22.89 Rg=31.436 SPS=16462 \n", "bl=0 pos[1]=[39.1 -6.7 13.5] dr=1.41 t=0.0ps kin=1.57 pot=22.81 Rg=30.814 SPS=17130 \n", "bl=0 pos[1]=[38.7 -5.6 13.3] dr=1.39 t=0.0ps kin=1.55 pot=22.76 Rg=30.207 SPS=17235 \n", "bl=0 pos[1]=[38.4 -4.0 12.6] dr=1.40 t=0.0ps kin=1.56 pot=22.69 Rg=29.637 SPS=16268 \n", "bl=0 pos[1]=[36.8 -2.1 13.1] dr=1.38 t=0.0ps kin=1.55 pot=22.68 Rg=29.117 SPS=18108 \n", "bl=0 pos[1]=[36.0 0.1 13.2] dr=1.40 t=0.0ps kin=1.57 pot=22.60 Rg=28.609 SPS=17989 \n", "bl=0 pos[1]=[33.4 1.6 12.9] dr=1.39 t=0.0ps kin=1.56 pot=22.54 Rg=28.120 SPS=18060 \n", "bl=0 pos[1]=[30.6 2.2 14.2] dr=1.37 t=0.0ps kin=1.48 pot=22.50 Rg=27.635 SPS=17033 \n", "bl=0 pos[1]=[29.9 2.8 14.4] dr=1.39 t=0.0ps kin=1.55 pot=22.43 Rg=27.117 SPS=16332 \n", "bl=0 pos[1]=[29.5 2.4 14.0] dr=1.36 t=0.0ps kin=1.51 pot=22.43 Rg=26.613 SPS=17331 \n", "bl=0 pos[1]=[30.8 1.9 13.2] dr=1.32 t=0.0ps kin=1.55 pot=22.38 Rg=26.133 SPS=17662 \n", "bl=0 pos[1]=[32.0 1.7 13.8] dr=1.36 t=0.0ps kin=1.58 pot=22.33 Rg=25.700 SPS=17185 \n", "bl=0 pos[1]=[31.7 2.6 13.9] dr=1.31 t=0.0ps kin=1.52 pot=22.30 Rg=25.307 SPS=15488 \n", "bl=0 pos[1]=[30.2 2.1 15.3] dr=1.34 t=0.0ps kin=1.54 pot=22.25 Rg=24.873 SPS=16077 \n", "bl=0 pos[1]=[29.4 1.7 13.5] dr=1.33 t=0.0ps kin=1.52 pot=22.22 Rg=24.431 SPS=15575 \n", "bl=0 pos[1]=[31.1 2.0 12.2] dr=1.32 t=0.0ps kin=1.52 pot=22.19 Rg=24.015 SPS=15193 \n", "bl=0 pos[1]=[31.7 1.6 12.6] dr=1.30 t=0.0ps kin=1.53 pot=22.19 Rg=23.595 SPS=15574 \n", "bl=0 pos[1]=[31.6 1.1 14.4] dr=1.34 t=0.0ps kin=1.50 pot=22.12 Rg=23.179 SPS=16172 \n", "bl=0 pos[1]=[29.2 0.6 15.1] dr=1.31 t=0.0ps kin=1.47 pot=22.09 Rg=22.806 SPS=15418 \n", "bl=0 pos[1]=[27.2 1.9 12.8] dr=1.28 t=0.0ps kin=1.51 pot=22.07 Rg=22.433 SPS=16059 \n", "bl=0 pos[1]=[24.8 3.5 12.5] dr=1.33 t=0.0ps kin=1.55 pot=22.01 Rg=22.041 SPS=15369 \n", "bl=0 pos[1]=[23.3 4.5 12.7] dr=1.35 t=0.0ps kin=1.56 pot=21.98 Rg=21.686 SPS=15285 \n", "bl=0 pos[1]=[23.1 4.3 12.9] dr=1.34 t=0.0ps kin=1.53 pot=22.04 Rg=21.364 SPS=17384 \n", "bl=0 pos[1]=[21.8 4.5 12.6] dr=1.33 t=0.0ps kin=1.55 pot=22.04 Rg=21.049 SPS=16052 \n", "bl=0 pos[1]=[20.6 4.8 12.1] dr=1.33 t=0.0ps kin=1.56 pot=21.99 Rg=20.733 SPS=17021 \n", "bl=0 pos[1]=[20.1 3.9 10.2] dr=1.31 t=0.0ps kin=1.54 pot=21.91 Rg=20.416 SPS=15706 \n", "bl=0 pos[1]=[19.4 1.9 9.6] dr=1.31 t=0.0ps kin=1.47 pot=21.93 Rg=20.113 SPS=17062 \n", "bl=0 pos[1]=[19.3 3.0 9.5] dr=1.27 t=0.0ps kin=1.47 pot=21.89 Rg=19.833 SPS=16363 \n", "bl=0 pos[1]=[17.4 4.3 9.7] dr=1.28 t=0.0ps kin=1.51 pot=21.91 Rg=19.548 SPS=14951 \n", "bl=0 pos[1]=[15.7 4.1 8.9] dr=1.28 t=0.0ps kin=1.53 pot=21.84 Rg=19.320 SPS=16253 \n", "bl=0 pos[1]=[15.5 3.3 7.9] dr=1.29 t=0.0ps kin=1.48 pot=21.84 Rg=19.095 SPS=16024 \n", "bl=0 pos[1]=[14.2 2.0 8.6] dr=1.25 t=0.0ps kin=1.50 pot=21.78 Rg=18.884 SPS=15265 \n", "bl=0 pos[1]=[13.8 1.9 8.8] dr=1.24 t=0.0ps kin=1.45 pot=21.84 Rg=18.707 SPS=16479 \n", "bl=0 pos[1]=[14.4 1.5 7.5] dr=1.29 t=0.0ps kin=1.48 pot=21.83 Rg=18.521 SPS=15760 \n", "bl=0 pos[1]=[14.1 -0.5 6.7] dr=1.32 t=0.0ps kin=1.50 pot=21.77 Rg=18.294 SPS=15834 \n", "bl=0 pos[1]=[14.2 -3.6 7.3] dr=1.34 t=0.0ps kin=1.53 pot=21.77 Rg=18.027 SPS=15507 \n", "bl=0 pos[1]=[13.5 -5.0 7.9] dr=1.31 t=0.0ps kin=1.51 pot=21.76 Rg=17.776 SPS=14977 \n", "bl=0 pos[1]=[11.7 -6.0 9.5] dr=1.30 t=0.0ps kin=1.52 pot=21.74 Rg=17.512 SPS=15046 \n", "bl=0 pos[1]=[12.5 -6.3 9.7] dr=1.28 t=0.0ps kin=1.46 pot=21.76 Rg=17.308 SPS=15968 \n", "bl=0 pos[1]=[10.5 -5.7 8.9] dr=1.28 t=0.0ps kin=1.50 pot=21.71 Rg=17.141 SPS=15638 \n", "bl=0 pos[1]=[11.2 -5.6 10.2] dr=1.26 t=0.0ps kin=1.49 pot=21.73 Rg=16.963 SPS=14641 \n", "bl=0 pos[1]=[9.6 -5.5 10.3] dr=1.26 t=0.0ps kin=1.50 pot=21.72 Rg=16.799 SPS=15726 \n", "bl=0 pos[1]=[7.6 -3.7 10.2] dr=1.29 t=0.0ps kin=1.50 pot=21.73 Rg=16.645 SPS=15978 \n", "bl=0 pos[1]=[8.0 -3.3 10.3] dr=1.25 t=0.0ps kin=1.48 pot=21.75 Rg=16.468 SPS=14907 \n", "bl=0 pos[1]=[8.0 -3.3 9.3] dr=1.26 t=0.0ps kin=1.48 pot=21.76 Rg=16.306 SPS=15538 \n", "bl=0 pos[1]=[8.2 -2.9 9.0] dr=1.27 t=0.0ps kin=1.49 pot=21.70 Rg=16.155 SPS=15881 \n", "bl=0 pos[1]=[8.3 -2.9 8.4] dr=1.26 t=0.0ps kin=1.45 pot=21.74 Rg=16.036 SPS=15195 \n", "bl=0 pos[1]=[9.6 -2.1 8.9] dr=1.28 t=0.0ps kin=1.54 pot=21.76 Rg=15.930 SPS=15667 \n", "bl=0 pos[1]=[9.7 -4.0 8.6] dr=1.30 t=0.0ps kin=1.54 pot=21.75 Rg=15.824 SPS=15813 \n", "bl=0 pos[1]=[11.9 -1.6 10.9] dr=1.28 t=0.0ps kin=1.53 pot=21.77 Rg=15.702 SPS=15025 \n", "bl=0 pos[1]=[10.9 -0.3 9.8] dr=1.26 t=0.0ps kin=1.51 pot=21.74 Rg=15.585 SPS=15269 \n", "bl=0 pos[1]=[10.6 -1.0 9.6] dr=1.30 t=0.0ps kin=1.50 pot=21.71 Rg=15.463 SPS=14977 \n", "bl=0 pos[1]=[10.5 -1.5 9.9] dr=1.29 t=0.0ps kin=1.54 pot=21.66 Rg=15.330 SPS=15329 \n", "bl=0 pos[1]=[9.4 0.1 11.2] dr=1.28 t=0.0ps kin=1.51 pot=21.69 Rg=15.175 SPS=15634 \n", "bl=0 pos[1]=[9.3 0.6 13.1] dr=1.25 t=0.0ps kin=1.50 pot=21.70 Rg=15.047 SPS=14532 \n", "bl=0 pos[1]=[10.9 0.2 12.8] dr=1.25 t=0.0ps kin=1.52 pot=21.68 Rg=14.976 SPS=15172 \n", "bl=0 pos[1]=[9.0 -2.2 12.4] dr=1.26 t=0.0ps kin=1.55 pot=21.71 Rg=14.872 SPS=15249 \n", "bl=0 pos[1]=[8.2 -1.7 12.3] dr=1.26 t=0.0ps kin=1.51 pot=21.69 Rg=14.751 SPS=14576 \n", "bl=0 pos[1]=[8.6 -2.2 12.1] dr=1.27 t=0.0ps kin=1.50 pot=21.70 Rg=14.626 SPS=15352 \n", "bl=0 pos[1]=[9.8 -2.1 13.5] dr=1.28 t=0.0ps kin=1.50 pot=21.67 Rg=14.539 SPS=14347 \n", "bl=0 pos[1]=[11.4 -1.8 12.7] dr=1.29 t=0.0ps kin=1.52 pot=21.67 Rg=14.481 SPS=15101 \n", "bl=0 pos[1]=[11.1 -1.3 12.1] dr=1.27 t=0.0ps kin=1.55 pot=21.69 Rg=14.404 SPS=15225 \n", "bl=0 pos[1]=[10.1 -0.9 11.6] dr=1.28 t=0.0ps kin=1.56 pot=21.66 Rg=14.341 SPS=14536 \n", "bl=0 pos[1]=[7.9 -1.6 10.1] dr=1.25 t=0.0ps kin=1.49 pot=21.72 Rg=14.295 SPS=15357 \n", "bl=0 pos[1]=[8.2 -3.5 8.5] dr=1.25 t=0.0ps kin=1.52 pot=21.67 Rg=14.239 SPS=14538 \n", "bl=0 pos[1]=[8.3 -2.7 5.7] dr=1.25 t=0.0ps kin=1.49 pot=21.68 Rg=14.166 SPS=14819 \n", "bl=0 pos[1]=[9.5 -2.0 4.7] dr=1.25 t=0.0ps kin=1.44 pot=21.62 Rg=14.074 SPS=14742 \n", "bl=0 pos[1]=[8.7 -1.1 7.0] dr=1.23 t=0.0ps kin=1.50 pot=21.60 Rg=13.981 SPS=14529 \n", "bl=0 pos[1]=[9.7 -2.3 6.4] dr=1.25 t=0.0ps kin=1.47 pot=21.61 Rg=13.903 SPS=15026 \n", "bl=0 pos[1]=[10.0 -2.8 6.1] dr=1.27 t=0.0ps kin=1.46 pot=21.66 Rg=13.817 SPS=14228 \n", "bl=0 pos[1]=[10.7 -4.1 5.2] dr=1.28 t=0.0ps kin=1.46 pot=21.60 Rg=13.703 SPS=14853 \n", "bl=0 pos[1]=[10.4 -4.1 5.6] dr=1.23 t=0.0ps kin=1.45 pot=21.65 Rg=13.621 SPS=14234 \n", "bl=0 pos[1]=[9.4 -4.5 6.4] dr=1.25 t=0.0ps kin=1.48 pot=21.63 Rg=13.559 SPS=14643 \n", "bl=0 pos[1]=[9.4 -3.9 6.1] dr=1.26 t=0.0ps kin=1.49 pot=21.58 Rg=13.454 SPS=14587 \n", "bl=0 pos[1]=[9.4 -3.2 5.7] dr=1.27 t=0.0ps kin=1.49 pot=21.68 Rg=13.361 SPS=14174 \n", "bl=0 pos[1]=[8.6 -1.6 5.6] dr=1.26 t=0.0ps kin=1.48 pot=21.64 Rg=13.247 SPS=14783 \n", "bl=0 pos[1]=[8.9 -2.4 5.0] dr=1.23 t=0.0ps kin=1.48 pot=21.65 Rg=13.137 SPS=13895 \n", "bl=0 pos[1]=[8.6 -2.9 5.4] dr=1.29 t=0.0ps kin=1.50 pot=21.63 Rg=13.033 SPS=15268 \n", "bl=0 pos[1]=[8.1 -2.7 5.5] dr=1.23 t=0.0ps kin=1.47 pot=21.59 Rg=13.018 SPS=14657 \n", "bl=0 pos[1]=[9.0 -3.4 5.6] dr=1.24 t=0.0ps kin=1.50 pot=21.57 Rg=13.020 SPS=15318 \n", "bl=0 pos[1]=[10.3 -3.4 5.2] dr=1.26 t=0.0ps kin=1.47 pot=21.62 Rg=12.993 SPS=15619 \n", "bl=0 pos[1]=[12.2 -3.1 4.5] dr=1.24 t=0.0ps kin=1.44 pot=21.62 Rg=12.958 SPS=15009 \n", "bl=0 pos[1]=[13.1 -4.2 3.2] dr=1.27 t=0.0ps kin=1.47 pot=21.60 Rg=12.973 SPS=16050 \n", "bl=0 pos[1]=[15.7 -4.1 2.5] dr=1.22 t=0.0ps kin=1.53 pot=21.61 Rg=12.973 SPS=15933 \n", "bl=0 pos[1]=[16.6 -2.7 2.8] dr=1.27 t=0.0ps kin=1.60 pot=21.63 Rg=12.967 SPS=14931 \n", "bl=0 pos[1]=[16.6 -2.4 3.0] dr=1.31 t=0.0ps kin=1.58 pot=21.60 Rg=12.976 SPS=15430 \n", "bl=0 pos[1]=[16.8 -3.2 3.1] dr=1.27 t=0.0ps kin=1.52 pot=21.59 Rg=12.996 SPS=15985 \n", "bl=0 pos[1]=[15.8 -3.3 2.8] dr=1.25 t=0.0ps kin=1.51 pot=21.67 Rg=13.008 SPS=14636 \n", "bl=0 pos[1]=[14.6 -2.7 3.2] dr=1.26 t=0.0ps kin=1.53 pot=21.64 Rg=13.001 SPS=14895 \n", "bl=0 pos[1]=[15.8 -3.8 3.4] dr=1.24 t=0.0ps kin=1.53 pot=21.60 Rg=13.052 SPS=14783 \n", "bl=0 pos[1]=[13.8 -4.0 3.2] dr=1.30 t=0.0ps kin=1.53 pot=21.61 Rg=13.043 SPS=15287 \n", "bl=0 pos[1]=[13.0 -4.9 2.2] dr=1.28 t=0.0ps kin=1.54 pot=21.62 Rg=12.968 SPS=16326 \n", "bl=0 pos[1]=[14.2 -5.7 2.7] dr=1.31 t=0.0ps kin=1.49 pot=21.63 Rg=12.896 SPS=14765 \n", "bl=0 pos[1]=[14.1 -6.7 2.3] dr=1.32 t=0.0ps kin=1.49 pot=21.58 Rg=12.902 SPS=14747 \n", "bl=0 pos[1]=[13.1 -7.2 3.1] dr=1.28 t=0.0ps kin=1.47 pot=21.60 Rg=12.843 SPS=15693 \n", "bl=0 pos[1]=[13.5 -7.8 3.4] dr=1.25 t=0.0ps kin=1.44 pot=21.59 Rg=12.788 SPS=14657 \n", "bl=0 pos[1]=[13.6 -7.7 4.0] dr=1.28 t=0.0ps kin=1.55 pot=21.58 Rg=12.710 SPS=15304 \n", "bl=0 pos[1]=[12.0 -6.8 4.8] dr=1.31 t=0.0ps kin=1.53 pot=21.59 Rg=12.667 SPS=14126 \n", "bl=0 pos[1]=[11.2 -4.6 3.3] dr=1.30 t=0.0ps kin=1.53 pot=21.62 Rg=12.625 SPS=14725 \n", "bl=0 pos[1]=[10.0 -2.3 0.8] dr=1.28 t=0.0ps kin=1.52 pot=21.61 Rg=12.537 SPS=14998 \n", "bl=0 pos[1]=[10.1 -1.0 0.0] dr=1.24 t=0.0ps kin=1.49 pot=21.61 Rg=12.500 SPS=14985 \n", "bl=0 pos[1]=[9.8 -0.2 -0.1] dr=1.23 t=0.0ps kin=1.51 pot=21.62 Rg=12.467 SPS=15193 \n", "bl=0 pos[1]=[8.9 -0.9 0.8] dr=1.28 t=0.0ps kin=1.52 pot=21.60 Rg=12.458 SPS=15583 \n", "bl=0 pos[1]=[8.7 -1.6 1.2] dr=1.26 t=0.0ps kin=1.49 pot=21.64 Rg=12.488 SPS=15535 \n", "bl=0 pos[1]=[8.2 -2.2 1.7] dr=1.27 t=0.0ps kin=1.49 pot=21.63 Rg=12.516 SPS=15794 \n", "bl=0 pos[1]=[8.8 -3.2 1.5] dr=1.27 t=0.0ps kin=1.49 pot=21.61 Rg=12.568 SPS=14251 \n", "bl=0 pos[1]=[9.5 -4.4 1.4] dr=1.25 t=0.0ps kin=1.49 pot=21.62 Rg=12.583 SPS=15538 \n", "bl=0 pos[1]=[9.6 -3.4 2.9] dr=1.29 t=0.0ps kin=1.52 pot=21.58 Rg=12.574 SPS=15765 \n", "bl=0 pos[1]=[9.8 -2.2 3.3] dr=1.26 t=0.0ps kin=1.55 pot=21.60 Rg=12.525 SPS=14635 \n", "bl=0 pos[1]=[11.3 -1.9 3.2] dr=1.27 t=0.0ps kin=1.50 pot=21.65 Rg=12.525 SPS=15586 \n", "bl=0 pos[1]=[12.3 -1.0 3.6] dr=1.27 t=0.0ps kin=1.53 pot=21.63 Rg=12.543 SPS=15903 \n", "bl=0 pos[1]=[13.3 0.2 4.5] dr=1.26 t=0.0ps kin=1.51 pot=21.64 Rg=12.557 SPS=14694 \n", "bl=0 pos[1]=[15.1 -0.3 3.5] dr=1.23 t=0.0ps kin=1.50 pot=21.64 Rg=12.550 SPS=15851 \n", "bl=0 pos[1]=[15.3 -1.0 4.7] dr=1.24 t=0.0ps kin=1.49 pot=21.59 Rg=12.550 SPS=15151 \n", "bl=0 pos[1]=[15.5 -0.2 4.7] dr=1.27 t=0.0ps kin=1.50 pot=21.60 Rg=12.526 SPS=14689 \n", "bl=0 pos[1]=[17.1 -0.6 3.6] dr=1.26 t=0.0ps kin=1.50 pot=21.65 Rg=12.487 SPS=15510 \n", "bl=0 pos[1]=[17.7 -0.3 2.6] dr=1.26 t=0.0ps kin=1.53 pot=21.58 Rg=12.496 SPS=14952 \n", "bl=0 pos[1]=[19.3 -0.2 3.1] dr=1.26 t=0.0ps kin=1.55 pot=21.62 Rg=12.544 SPS=15678 \n", "bl=0 pos[1]=[20.2 -1.5 4.5] dr=1.30 t=0.0ps kin=1.53 pot=21.60 Rg=12.615 SPS=15646 \n", "bl=0 pos[1]=[19.3 -3.0 4.8] dr=1.25 t=0.0ps kin=1.48 pot=21.63 Rg=12.657 SPS=14483 \n", "bl=0 pos[1]=[18.8 -3.5 6.4] dr=1.23 t=0.0ps kin=1.46 pot=21.61 Rg=12.653 SPS=15484 \n", "bl=0 pos[1]=[17.9 -4.0 7.2] dr=1.25 t=0.0ps kin=1.47 pot=21.62 Rg=12.643 SPS=15727 \n", "bl=0 pos[1]=[16.7 -5.1 7.0] dr=1.26 t=0.0ps kin=1.51 pot=21.60 Rg=12.612 SPS=15453 \n", "bl=0 pos[1]=[16.7 -4.6 7.1] dr=1.24 t=0.0ps kin=1.43 pot=21.61 Rg=12.543 SPS=15341 \n", "bl=0 pos[1]=[16.9 -4.8 8.0] dr=1.23 t=0.0ps kin=1.48 pot=21.58 Rg=12.479 SPS=15349 \n", "bl=0 pos[1]=[16.0 -4.9 9.2] dr=1.25 t=0.0ps kin=1.48 pot=21.59 Rg=12.412 SPS=15213 \n", "bl=0 pos[1]=[14.3 -5.5 10.1] dr=1.25 t=0.0ps kin=1.49 pot=21.59 Rg=12.357 SPS=15405 \n", "bl=0 pos[1]=[13.5 -5.7 9.7] dr=1.25 t=0.0ps kin=1.50 pot=21.58 Rg=12.295 SPS=15740 \n", "bl=0 pos[1]=[13.7 -5.6 10.6] dr=1.25 t=0.0ps kin=1.47 pot=21.57 Rg=12.219 SPS=15298 \n", "bl=0 pos[1]=[13.1 -4.0 10.2] dr=1.25 t=0.0ps kin=1.46 pot=21.62 Rg=12.166 SPS=15613 \n", "bl=0 pos[1]=[11.7 -2.8 12.3] dr=1.28 t=0.0ps kin=1.50 pot=21.60 Rg=12.104 SPS=15885 \n", "bl=0 pos[1]=[11.6 -2.6 12.2] dr=1.27 t=0.0ps kin=1.49 pot=21.60 Rg=12.051 SPS=14927 \n", "bl=0 pos[1]=[11.7 -3.1 12.0] dr=1.27 t=0.0ps kin=1.51 pot=21.62 Rg=12.054 SPS=15853 \n", "bl=0 pos[1]=[11.7 -3.4 9.4] dr=1.27 t=0.0ps kin=1.48 pot=21.64 Rg=12.082 SPS=14691 \n", "bl=0 pos[1]=[12.6 -3.5 10.1] dr=1.27 t=0.0ps kin=1.46 pot=21.58 Rg=12.105 SPS=15485 \n", "bl=0 pos[1]=[14.8 -3.0 12.1] dr=1.29 t=0.0ps kin=1.46 pot=21.62 Rg=12.081 SPS=15465 \n", "bl=0 pos[1]=[15.5 -3.2 13.2] dr=1.26 t=0.0ps kin=1.48 pot=21.57 Rg=12.013 SPS=14774 \n", "bl=0 pos[1]=[16.1 -3.7 12.6] dr=1.27 t=0.0ps kin=1.50 pot=21.60 Rg=11.947 SPS=15412 \n", "bl=0 pos[1]=[16.1 -2.8 11.8] dr=1.28 t=0.0ps kin=1.54 pot=21.56 Rg=11.882 SPS=15319 \n", "bl=0 pos[1]=[17.6 -2.6 12.5] dr=1.27 t=0.0ps kin=1.46 pot=21.59 Rg=11.782 SPS=14661 \n", "bl=0 pos[1]=[17.3 -1.3 11.4] dr=1.26 t=0.0ps kin=1.56 pot=21.57 Rg=11.716 SPS=15855 \n", "bl=0 pos[1]=[17.0 -2.1 10.9] dr=1.29 t=0.0ps kin=1.56 pot=21.58 Rg=11.703 SPS=15822 \n", "bl=0 pos[1]=[16.1 -3.4 10.3] dr=1.27 t=0.0ps kin=1.52 pot=21.63 Rg=11.698 SPS=15103 \n", "bl=0 pos[1]=[14.1 -3.1 9.9] dr=1.25 t=0.0ps kin=1.47 pot=21.63 Rg=11.687 SPS=16030 \n", "bl=0 pos[1]=[12.9 -1.7 11.0] dr=1.23 t=0.0ps kin=1.48 pot=21.59 Rg=11.679 SPS=15538 \n", "bl=0 pos[1]=[12.9 -1.6 11.4] dr=1.23 t=0.0ps kin=1.48 pot=21.60 Rg=11.692 SPS=14640 \n", "bl=0 pos[1]=[13.0 -1.2 11.9] dr=1.27 t=0.0ps kin=1.51 pot=21.60 Rg=11.712 SPS=15223 \n", "bl=0 pos[1]=[13.9 0.8 13.1] dr=1.28 t=0.0ps kin=1.50 pot=21.54 Rg=11.732 SPS=15002 \n", "bl=0 pos[1]=[13.6 3.4 12.0] dr=1.25 t=0.0ps kin=1.52 pot=21.61 Rg=11.722 SPS=15281 \n", "bl=0 pos[1]=[15.0 5.1 10.7] dr=1.28 t=0.0ps kin=1.48 pot=21.62 Rg=11.697 SPS=15488 \n", "bl=0 pos[1]=[15.7 5.7 10.3] dr=1.25 t=0.0ps kin=1.55 pot=21.57 Rg=11.701 SPS=15135 \n", "bl=0 pos[1]=[15.6 5.2 8.9] dr=1.30 t=0.0ps kin=1.52 pot=21.60 Rg=11.727 SPS=15764 \n", "bl=0 pos[1]=[15.0 6.4 7.1] dr=1.28 t=0.0ps kin=1.51 pot=21.59 Rg=11.743 SPS=15725 \n", "bl=0 pos[1]=[13.3 5.4 7.0] dr=1.25 t=0.0ps kin=1.49 pot=21.62 Rg=11.696 SPS=14909 \n", "bl=0 pos[1]=[12.4 4.5 6.4] dr=1.30 t=0.0ps kin=1.49 pot=21.64 Rg=11.649 SPS=15487 \n", "bl=0 pos[1]=[13.3 4.1 6.5] dr=1.26 t=0.0ps kin=1.55 pot=21.62 Rg=11.658 SPS=15225 \n", "bl=0 pos[1]=[13.7 1.9 6.5] dr=1.27 t=0.0ps kin=1.56 pot=21.57 Rg=11.669 SPS=14727 \n", "bl=0 pos[1]=[13.4 3.0 8.3] dr=1.29 t=0.0ps kin=1.52 pot=21.63 Rg=11.682 SPS=15424 \n", "bl=0 pos[1]=[12.9 3.4 7.3] dr=1.27 t=0.0ps kin=1.46 pot=21.60 Rg=11.671 SPS=15406 \n", "bl=0 pos[1]=[13.3 2.7 6.8] dr=1.23 t=0.0ps kin=1.51 pot=21.60 Rg=11.657 SPS=15134 \n", "bl=0 pos[1]=[13.1 2.2 6.2] dr=1.26 t=0.0ps kin=1.44 pot=21.57 Rg=11.658 SPS=15449 \n", "bl=0 pos[1]=[13.6 3.6 6.1] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.668 SPS=14817 \n", "bl=0 pos[1]=[13.2 4.2 5.8] dr=1.28 t=0.0ps kin=1.55 pot=21.60 Rg=11.695 SPS=15689 \n", "bl=0 pos[1]=[11.9 4.5 5.6] dr=1.30 t=0.0ps kin=1.61 pot=21.63 Rg=11.666 SPS=15229 \n", "bl=0 pos[1]=[10.6 5.4 5.4] dr=1.31 t=0.0ps kin=1.51 pot=21.60 Rg=11.658 SPS=15060 \n", "bl=0 pos[1]=[10.0 3.6 4.8] dr=1.26 t=0.0ps kin=1.52 pot=21.56 Rg=11.637 SPS=15574 \n", "bl=0 pos[1]=[9.1 2.6 3.9] dr=1.25 t=0.0ps kin=1.45 pot=21.61 Rg=11.582 SPS=15346 \n", "bl=0 pos[1]=[9.8 4.2 3.4] dr=1.25 t=0.0ps kin=1.50 pot=21.58 Rg=11.529 SPS=14922 \n", "bl=0 pos[1]=[10.8 4.3 2.7] dr=1.26 t=0.0ps kin=1.53 pot=21.57 Rg=11.521 SPS=15497 \n", "bl=0 pos[1]=[12.3 3.7 1.4] dr=1.26 t=0.0ps kin=1.48 pot=21.59 Rg=11.569 SPS=14988 \n", "bl=0 pos[1]=[12.3 4.0 0.7] dr=1.27 t=0.0ps kin=1.46 pot=21.59 Rg=11.590 SPS=15306 \n", "bl=0 pos[1]=[12.3 5.6 1.2] dr=1.26 t=0.0ps kin=1.48 pot=21.62 Rg=11.660 SPS=14902 \n", "bl=0 pos[1]=[11.6 6.7 0.9] dr=1.26 t=0.0ps kin=1.53 pot=21.63 Rg=11.731 SPS=13760 \n", "bl=0 pos[1]=[12.2 6.7 0.1] dr=1.26 t=0.0ps kin=1.48 pot=21.62 Rg=11.757 SPS=14693 \n", "bl=0 pos[1]=[10.9 7.7 0.8] dr=1.27 t=0.0ps kin=1.51 pot=21.56 Rg=11.752 SPS=14069 \n", "bl=0 pos[1]=[8.9 8.3 0.6] dr=1.26 t=0.0ps kin=1.45 pot=21.62 Rg=11.764 SPS=15348 \n", "bl=0 pos[1]=[8.1 6.2 1.9] dr=1.25 t=0.0ps kin=1.54 pot=21.53 Rg=11.751 SPS=13892 \n", "bl=0 pos[1]=[8.6 6.3 2.6] dr=1.32 t=0.0ps kin=1.55 pot=21.59 Rg=11.687 SPS=15426 \n", "bl=0 pos[1]=[6.3 5.8 3.0] dr=1.30 t=0.0ps kin=1.55 pot=21.60 Rg=11.611 SPS=14976 \n", "bl=0 pos[1]=[5.8 5.6 4.3] dr=1.29 t=0.0ps kin=1.51 pot=21.61 Rg=11.547 SPS=14934 \n", "bl=0 pos[1]=[4.3 7.6 4.5] dr=1.23 t=0.0ps kin=1.47 pot=21.62 Rg=11.528 SPS=15963 \n", "bl=0 pos[1]=[5.0 8.9 3.1] dr=1.25 t=0.0ps kin=1.52 pot=21.56 Rg=11.524 SPS=15907 \n", "bl=0 pos[1]=[5.5 10.2 2.4] dr=1.29 t=0.0ps kin=1.50 pot=21.59 Rg=11.519 SPS=15570 \n", "bl=0 pos[1]=[8.3 9.0 3.5] dr=1.27 t=0.0ps kin=1.50 pot=21.58 Rg=11.496 SPS=15071 \n", "bl=0 pos[1]=[8.6 7.2 3.7] dr=1.24 t=0.0ps kin=1.45 pot=21.60 Rg=11.524 SPS=15630 \n", "bl=0 pos[1]=[8.4 7.2 4.8] dr=1.24 t=0.0ps kin=1.53 pot=21.58 Rg=11.551 SPS=14633 \n", "bl=0 pos[1]=[7.9 8.7 5.0] dr=1.29 t=0.0ps kin=1.51 pot=21.61 Rg=11.574 SPS=15573 \n", "bl=0 pos[1]=[8.0 9.1 5.0] dr=1.23 t=0.0ps kin=1.49 pot=21.62 Rg=11.603 SPS=14067 \n", "bl=0 pos[1]=[8.4 9.1 4.9] dr=1.25 t=0.0ps kin=1.55 pot=21.61 Rg=11.556 SPS=14884 \n", "bl=0 pos[1]=[7.2 8.9 4.0] dr=1.27 t=0.0ps kin=1.55 pot=21.58 Rg=11.530 SPS=15804 \n", "bl=0 pos[1]=[7.9 9.4 4.8] dr=1.28 t=0.0ps kin=1.50 pot=21.63 Rg=11.508 SPS=14850 \n", "bl=0 pos[1]=[7.4 9.3 6.3] dr=1.28 t=0.0ps kin=1.54 pot=21.62 Rg=11.462 SPS=15185 \n", "bl=0 pos[1]=[7.7 9.9 6.9] dr=1.26 t=0.0ps kin=1.50 pot=21.55 Rg=11.455 SPS=15104 \n", "bl=0 pos[1]=[7.1 10.0 7.0] dr=1.23 t=0.0ps kin=1.48 pot=21.53 Rg=11.477 SPS=15178 \n", "bl=0 pos[1]=[8.0 10.6 7.4] dr=1.21 t=0.0ps kin=1.45 pot=21.58 Rg=11.493 SPS=14900 \n", "bl=0 pos[1]=[10.0 8.8 5.8] dr=1.24 t=0.0ps kin=1.49 pot=21.52 Rg=11.521 SPS=14086 \n", "bl=0 pos[1]=[8.8 7.7 3.3] dr=1.22 t=0.0ps kin=1.51 pot=21.60 Rg=11.447 SPS=16072 \n", "bl=0 pos[1]=[7.7 6.9 3.9] dr=1.24 t=0.0ps kin=1.47 pot=21.57 Rg=11.406 SPS=15798 \n", "bl=0 pos[1]=[8.2 8.7 4.4] dr=1.23 t=0.0ps kin=1.44 pot=21.61 Rg=11.421 SPS=14803 \n", "bl=0 pos[1]=[10.3 9.9 4.0] dr=1.24 t=0.0ps kin=1.48 pot=21.61 Rg=11.436 SPS=16213 \n", "bl=0 pos[1]=[11.0 9.8 3.7] dr=1.24 t=0.0ps kin=1.50 pot=21.56 Rg=11.466 SPS=16050 \n", "bl=0 pos[1]=[11.4 9.3 4.0] dr=1.21 t=0.0ps kin=1.46 pot=21.59 Rg=11.544 SPS=15034 \n", "bl=0 pos[1]=[13.0 9.9 4.4] dr=1.25 t=0.0ps kin=1.45 pot=21.57 Rg=11.574 SPS=15253 \n", "bl=0 pos[1]=[12.6 8.4 5.2] dr=1.26 t=0.0ps kin=1.47 pot=21.61 Rg=11.581 SPS=14861 \n", "bl=0 pos[1]=[12.1 7.4 4.3] dr=1.27 t=0.0ps kin=1.50 pot=21.58 Rg=11.566 SPS=15985 \n", "bl=0 pos[1]=[11.2 5.6 4.6] dr=1.27 t=0.0ps kin=1.49 pot=21.57 Rg=11.522 SPS=15361 \n", "bl=0 pos[1]=[11.7 6.8 3.1] dr=1.26 t=0.0ps kin=1.40 pot=21.56 Rg=11.464 SPS=14883 \n", "bl=0 pos[1]=[11.5 6.4 3.6] dr=1.29 t=0.0ps kin=1.47 pot=21.54 Rg=11.401 SPS=15308 \n", "bl=0 pos[1]=[10.4 6.8 3.0] dr=1.27 t=0.0ps kin=1.51 pot=21.55 Rg=11.339 SPS=15368 \n", "bl=0 pos[1]=[8.7 5.6 2.4] dr=1.27 t=0.0ps kin=1.47 pot=21.56 Rg=11.304 SPS=15015 \n", "bl=0 pos[1]=[7.0 6.6 2.8] dr=1.25 t=0.0ps kin=1.47 pot=21.57 Rg=11.287 SPS=15242 \n", "bl=0 pos[1]=[4.6 5.8 1.4] dr=1.25 t=0.0ps kin=1.42 pot=21.59 Rg=11.275 SPS=12877 \n", "bl=0 pos[1]=[3.6 3.5 2.2] dr=1.24 t=0.0ps kin=1.46 pot=21.55 Rg=11.277 SPS=15548 \n", "bl=0 pos[1]=[4.1 2.7 2.5] dr=1.21 t=0.0ps kin=1.45 pot=21.56 Rg=11.260 SPS=15089 \n", "bl=0 pos[1]=[4.1 2.5 1.7] dr=1.22 t=0.0ps kin=1.48 pot=21.55 Rg=11.280 SPS=15123 \n", "bl=0 pos[1]=[3.6 2.8 3.6] dr=1.25 t=0.0ps kin=1.45 pot=21.56 Rg=11.303 SPS=15307 \n", "bl=0 pos[1]=[2.1 3.5 2.8] dr=1.25 t=0.0ps kin=1.45 pot=21.59 Rg=11.310 SPS=15295 \n", "bl=0 pos[1]=[1.6 3.1 1.9] dr=1.23 t=0.0ps kin=1.48 pot=21.60 Rg=11.319 SPS=15658 \n", "bl=0 pos[1]=[0.1 3.9 2.8] dr=1.25 t=0.0ps kin=1.54 pot=21.59 Rg=11.377 SPS=15241 \n", "bl=0 pos[1]=[-0.4 4.4 4.5] dr=1.28 t=0.0ps kin=1.57 pot=21.62 Rg=11.431 SPS=14641 \n", "bl=0 pos[1]=[-1.5 4.0 4.2] dr=1.26 t=0.0ps kin=1.49 pot=21.65 Rg=11.480 SPS=15910 \n", "bl=0 pos[1]=[-2.0 3.2 4.6] dr=1.27 t=0.0ps kin=1.49 pot=21.59 Rg=11.509 SPS=15875 \n", "bl=0 pos[1]=[-0.8 3.3 4.5] dr=1.25 t=0.0ps kin=1.55 pot=21.59 Rg=11.535 SPS=15391 \n", "bl=0 pos[1]=[0.9 3.1 5.4] dr=1.27 t=0.0ps kin=1.51 pot=21.61 Rg=11.544 SPS=15960 \n", "bl=0 pos[1]=[2.1 3.7 4.8] dr=1.27 t=0.0ps kin=1.50 pot=21.61 Rg=11.526 SPS=14958 \n", "bl=0 pos[1]=[1.6 1.2 5.1] dr=1.28 t=0.0ps kin=1.49 pot=21.57 Rg=11.512 SPS=14556 \n", "bl=0 pos[1]=[0.0 0.8 5.3] dr=1.26 t=0.0ps kin=1.50 pot=21.58 Rg=11.501 SPS=15425 \n", "bl=0 pos[1]=[-0.4 0.5 5.2] dr=1.25 t=0.0ps kin=1.51 pot=21.62 Rg=11.532 SPS=14282 \n", "bl=0 pos[1]=[-0.3 -0.2 6.0] dr=1.25 t=0.0ps kin=1.54 pot=21.59 Rg=11.567 SPS=15298 \n", "bl=0 pos[1]=[-0.6 -0.1 5.0] dr=1.28 t=0.0ps kin=1.53 pot=21.62 Rg=11.582 SPS=15590 \n", "bl=0 pos[1]=[-0.4 -0.2 4.8] dr=1.29 t=0.0ps kin=1.50 pot=21.65 Rg=11.576 SPS=15143 \n", "bl=0 pos[1]=[-0.2 -0.9 5.5] dr=1.29 t=0.0ps kin=1.54 pot=21.60 Rg=11.549 SPS=15769 \n", "bl=0 pos[1]=[0.2 -0.7 4.5] dr=1.26 t=0.0ps kin=1.53 pot=21.59 Rg=11.504 SPS=15588 \n", "bl=0 pos[1]=[0.7 -0.4 4.0] dr=1.26 t=0.0ps kin=1.52 pot=21.57 Rg=11.499 SPS=14497 \n", "bl=0 pos[1]=[0.9 1.6 4.1] dr=1.26 t=0.0ps kin=1.49 pot=21.56 Rg=11.502 SPS=16029 \n", "bl=0 pos[1]=[1.9 3.2 5.4] dr=1.28 t=0.0ps kin=1.49 pot=21.59 Rg=11.498 SPS=15561 \n", "bl=0 pos[1]=[1.3 2.4 5.8] dr=1.25 t=0.0ps kin=1.48 pot=21.61 Rg=11.487 SPS=15137 \n", "bl=0 pos[1]=[3.4 2.2 5.7] dr=1.26 t=0.0ps kin=1.47 pot=21.57 Rg=11.499 SPS=15750 \n", "bl=0 pos[1]=[4.3 2.5 6.0] dr=1.26 t=0.0ps kin=1.57 pot=21.54 Rg=11.502 SPS=15969 \n", "bl=0 pos[1]=[3.2 3.6 5.7] dr=1.27 t=0.0ps kin=1.54 pot=21.58 Rg=11.456 SPS=14584 \n", "bl=0 pos[1]=[2.9 3.7 4.8] dr=1.31 t=0.0ps kin=1.52 pot=21.59 Rg=11.421 SPS=15340 \n", "bl=0 pos[1]=[3.4 3.8 6.2] dr=1.28 t=0.0ps kin=1.53 pot=21.58 Rg=11.392 SPS=15004 \n", "bl=0 pos[1]=[5.7 4.8 7.8] dr=1.26 t=0.0ps kin=1.48 pot=21.58 Rg=11.341 SPS=15638 \n", "bl=0 pos[1]=[6.3 7.6 7.8] dr=1.28 t=0.0ps kin=1.53 pot=21.57 Rg=11.351 SPS=15443 \n", "bl=0 pos[1]=[5.3 9.9 6.7] dr=1.25 t=0.0ps kin=1.51 pot=21.59 Rg=11.356 SPS=14598 \n", "bl=0 pos[1]=[6.6 9.1 8.0] dr=1.28 t=0.0ps kin=1.54 pot=21.60 Rg=11.377 SPS=15460 \n", "bl=0 pos[1]=[7.5 7.8 6.3] dr=1.28 t=0.0ps kin=1.53 pot=21.61 Rg=11.405 SPS=15348 \n", "bl=0 pos[1]=[6.3 7.6 5.8] dr=1.26 t=0.0ps kin=1.52 pot=21.60 Rg=11.384 SPS=14498 \n", "bl=0 pos[1]=[5.3 8.1 6.3] dr=1.24 t=0.0ps kin=1.57 pot=21.59 Rg=11.346 SPS=15382 \n", "bl=0 pos[1]=[6.0 8.5 6.7] dr=1.28 t=0.0ps kin=1.53 pot=21.59 Rg=11.366 SPS=14421 \n", "bl=0 pos[1]=[8.4 5.7 7.3] dr=1.30 t=0.0ps kin=1.54 pot=21.59 Rg=11.415 SPS=15602 \n", "bl=0 pos[1]=[9.3 6.4 5.1] dr=1.30 t=0.0ps kin=1.55 pot=21.57 Rg=11.450 SPS=15288 \n", "bl=0 pos[1]=[9.5 7.0 4.3] dr=1.26 t=0.0ps kin=1.51 pot=21.63 Rg=11.464 SPS=13880 \n", "bl=0 pos[1]=[9.8 6.0 3.0] dr=1.28 t=0.0ps kin=1.60 pot=21.57 Rg=11.445 SPS=15141 \n", "bl=0 pos[1]=[9.3 6.8 1.5] dr=1.27 t=0.0ps kin=1.47 pot=21.59 Rg=11.437 SPS=14515 \n", "bl=0 pos[1]=[8.7 5.4 0.7] dr=1.25 t=0.0ps kin=1.58 pot=21.58 Rg=11.436 SPS=15241 \n", "bl=0 pos[1]=[8.0 6.8 1.1] dr=1.29 t=0.0ps kin=1.53 pot=21.58 Rg=11.440 SPS=15042 \n", "bl=0 pos[1]=[8.5 6.3 0.8] dr=1.26 t=0.0ps kin=1.50 pot=21.55 Rg=11.446 SPS=14376 \n", "bl=0 pos[1]=[9.1 6.4 -0.9] dr=1.25 t=0.0ps kin=1.41 pot=21.55 Rg=11.507 SPS=15507 \n", "bl=0 pos[1]=[6.6 4.6 -0.6] dr=1.24 t=0.0ps kin=1.44 pot=21.53 Rg=11.574 SPS=13916 \n", "bl=0 pos[1]=[5.4 4.6 -0.8] dr=1.25 t=0.0ps kin=1.44 pot=21.57 Rg=11.607 SPS=15513 \n", "bl=0 pos[1]=[4.9 4.7 -0.6] dr=1.27 t=0.0ps kin=1.49 pot=21.55 Rg=11.622 SPS=15355 \n", "bl=0 pos[1]=[5.0 4.8 -0.1] dr=1.27 t=0.0ps kin=1.52 pot=21.54 Rg=11.591 SPS=14799 \n", "bl=0 pos[1]=[4.9 4.7 1.1] dr=1.25 t=0.0ps kin=1.46 pot=21.59 Rg=11.495 SPS=15607 \n", "bl=0 pos[1]=[5.0 5.6 0.9] dr=1.26 t=0.0ps kin=1.46 pot=21.63 Rg=11.421 SPS=15649 \n", "bl=0 pos[1]=[5.7 5.7 -0.0] dr=1.23 t=0.0ps kin=1.49 pot=21.60 Rg=11.419 SPS=14767 \n", "bl=0 pos[1]=[6.7 4.5 1.6] dr=1.25 t=0.0ps kin=1.51 pot=21.65 Rg=11.421 SPS=15406 \n", "bl=0 pos[1]=[8.2 4.3 1.6] dr=1.26 t=0.0ps kin=1.51 pot=21.62 Rg=11.403 SPS=14683 \n", "bl=0 pos[1]=[7.8 4.7 0.6] dr=1.24 t=0.0ps kin=1.53 pot=21.60 Rg=11.366 SPS=14926 \n", "bl=0 pos[1]=[7.8 6.2 -0.5] dr=1.27 t=0.0ps kin=1.52 pot=21.64 Rg=11.371 SPS=15150 \n", "bl=0 pos[1]=[7.2 6.8 -0.8] dr=1.28 t=0.0ps kin=1.50 pot=21.59 Rg=11.383 SPS=14266 \n", "bl=0 pos[1]=[6.7 7.1 -0.8] dr=1.24 t=0.0ps kin=1.52 pot=21.54 Rg=11.416 SPS=15577 \n", "bl=0 pos[1]=[8.1 6.0 -0.5] dr=1.21 t=0.0ps kin=1.47 pot=21.62 Rg=11.391 SPS=14314 \n", "bl=0 pos[1]=[8.5 6.0 0.9] dr=1.28 t=0.0ps kin=1.49 pot=21.58 Rg=11.401 SPS=15167 \n", "bl=0 pos[1]=[8.8 6.2 -0.3] dr=1.24 t=0.0ps kin=1.44 pot=21.56 Rg=11.427 SPS=15749 \n", "bl=0 pos[1]=[11.1 7.2 2.1] dr=1.23 t=0.0ps kin=1.50 pot=21.54 Rg=11.467 SPS=15318 \n", "bl=0 pos[1]=[10.1 7.1 2.2] dr=1.25 t=0.0ps kin=1.47 pot=21.61 Rg=11.549 SPS=15424 \n", "bl=0 pos[1]=[11.7 7.4 2.8] dr=1.30 t=0.0ps kin=1.52 pot=21.60 Rg=11.650 SPS=15118 \n", "bl=0 pos[1]=[13.9 9.1 2.5] dr=1.28 t=0.0ps kin=1.56 pot=21.60 Rg=11.735 SPS=14509 \n", "bl=0 pos[1]=[12.4 8.2 0.8] dr=1.26 t=0.0ps kin=1.52 pot=21.60 Rg=11.769 SPS=15139 \n", "bl=0 pos[1]=[11.0 7.8 1.0] dr=1.27 t=0.0ps kin=1.54 pot=21.62 Rg=11.790 SPS=14834 \n", "bl=0 pos[1]=[11.1 8.1 1.2] dr=1.26 t=0.0ps kin=1.48 pot=21.58 Rg=11.816 SPS=15916 \n", "bl=0 pos[1]=[11.2 8.4 1.8] dr=1.25 t=0.0ps kin=1.52 pot=21.59 Rg=11.844 SPS=15685 \n", "bl=0 pos[1]=[10.8 9.6 2.5] dr=1.28 t=0.0ps kin=1.54 pot=21.59 Rg=11.891 SPS=14799 \n", "bl=0 pos[1]=[10.5 11.2 1.9] dr=1.25 t=0.0ps kin=1.48 pot=21.61 Rg=11.924 SPS=16088 \n", "bl=0 pos[1]=[9.7 9.3 1.3] dr=1.24 t=0.0ps kin=1.46 pot=21.59 Rg=11.955 SPS=15311 \n", "bl=0 pos[1]=[9.9 10.0 0.0] dr=1.26 t=0.0ps kin=1.51 pot=21.57 Rg=11.974 SPS=15034 \n", "bl=0 pos[1]=[10.9 9.9 -1.3] dr=1.28 t=0.0ps kin=1.48 pot=21.58 Rg=11.985 SPS=15112 \n", "bl=0 pos[1]=[10.8 8.9 -0.7] dr=1.27 t=0.0ps kin=1.46 pot=21.55 Rg=11.957 SPS=15244 \n", "bl=0 pos[1]=[10.5 7.3 1.5] dr=1.26 t=0.0ps kin=1.48 pot=21.57 Rg=11.921 SPS=15311 \n", "bl=0 pos[1]=[10.8 7.2 3.2] dr=1.25 t=0.0ps kin=1.50 pot=21.55 Rg=11.897 SPS=15243 \n", "bl=0 pos[1]=[9.7 7.0 3.7] dr=1.27 t=0.0ps kin=1.46 pot=21.60 Rg=11.872 SPS=14756 \n", "bl=0 pos[1]=[8.2 5.2 3.1] dr=1.25 t=0.0ps kin=1.51 pot=21.56 Rg=11.863 SPS=16067 \n", "bl=0 pos[1]=[8.6 5.9 2.5] dr=1.23 t=0.0ps kin=1.52 pot=21.58 Rg=11.883 SPS=15459 \n", "bl=0 pos[1]=[8.3 7.8 1.3] dr=1.24 t=0.0ps kin=1.47 pot=21.56 Rg=11.897 SPS=15477 \n", "bl=0 pos[1]=[7.6 10.2 1.1] dr=1.26 t=0.0ps kin=1.50 pot=21.56 Rg=11.899 SPS=15593 \n", "bl=0 pos[1]=[7.2 11.3 -1.1] dr=1.25 t=0.0ps kin=1.53 pot=21.57 Rg=11.921 SPS=15478 \n", "bl=0 pos[1]=[7.1 11.7 -2.2] dr=1.26 t=0.0ps kin=1.46 pot=21.60 Rg=11.905 SPS=15304 \n", "bl=0 pos[1]=[6.5 12.9 -1.4] dr=1.28 t=0.0ps kin=1.50 pot=21.56 Rg=11.928 SPS=15518 \n", "bl=0 pos[1]=[6.5 12.6 1.4] dr=1.29 t=0.0ps kin=1.50 pot=21.56 Rg=11.940 SPS=14940 \n", "bl=0 pos[1]=[4.9 11.8 1.3] dr=1.26 t=0.0ps kin=1.46 pot=21.58 Rg=11.929 SPS=14451 \n", "bl=0 pos[1]=[4.2 12.6 2.8] dr=1.23 t=0.0ps kin=1.47 pot=21.57 Rg=11.928 SPS=15003 \n", "bl=0 pos[1]=[4.9 14.6 3.1] dr=1.23 t=0.0ps kin=1.47 pot=21.61 Rg=11.941 SPS=14478 \n", "bl=0 pos[1]=[4.8 14.3 2.7] dr=1.24 t=0.0ps kin=1.48 pot=21.54 Rg=11.949 SPS=14911 \n", "bl=0 pos[1]=[3.4 14.2 1.6] dr=1.21 t=0.0ps kin=1.46 pot=21.59 Rg=11.951 SPS=14889 \n", "bl=0 pos[1]=[1.3 14.7 2.8] dr=1.23 t=0.0ps kin=1.49 pot=21.59 Rg=11.904 SPS=14624 \n", "bl=0 pos[1]=[1.9 15.2 4.3] dr=1.27 t=0.0ps kin=1.52 pot=21.62 Rg=11.927 SPS=15737 \n", "bl=0 pos[1]=[2.1 14.3 6.6] dr=1.28 t=0.0ps kin=1.52 pot=21.61 Rg=11.933 SPS=14514 \n", "bl=0 pos[1]=[3.6 15.4 7.1] dr=1.27 t=0.0ps kin=1.47 pot=21.61 Rg=11.940 SPS=14650 \n", "bl=0 pos[1]=[5.0 17.9 6.5] dr=1.27 t=0.0ps kin=1.49 pot=21.59 Rg=11.911 SPS=16222 \n", "bl=0 pos[1]=[5.4 18.5 4.6] dr=1.24 t=0.0ps kin=1.54 pot=21.53 Rg=11.840 SPS=14735 \n", "bl=0 pos[1]=[5.9 19.0 2.6] dr=1.25 t=0.0ps kin=1.49 pot=21.56 Rg=11.729 SPS=15246 \n", "bl=0 pos[1]=[5.8 17.7 4.1] dr=1.25 t=0.0ps kin=1.47 pot=21.57 Rg=11.650 SPS=15573 \n", "bl=0 pos[1]=[7.0 18.3 4.9] dr=1.26 t=0.0ps kin=1.51 pot=21.53 Rg=11.623 SPS=14427 \n", "bl=0 pos[1]=[7.0 18.3 3.2] dr=1.26 t=0.0ps kin=1.47 pot=21.59 Rg=11.616 SPS=15326 \n", "bl=0 pos[1]=[4.7 18.3 3.0] dr=1.22 t=0.0ps kin=1.48 pot=21.59 Rg=11.624 SPS=14654 \n", "bl=0 pos[1]=[3.0 18.9 1.5] dr=1.25 t=0.0ps kin=1.53 pot=21.60 Rg=11.624 SPS=15614 \n", "bl=0 pos[1]=[3.3 19.1 1.0] dr=1.26 t=0.0ps kin=1.51 pot=21.57 Rg=11.643 SPS=16030 \n", "bl=0 pos[1]=[3.7 18.2 0.3] dr=1.27 t=0.0ps kin=1.52 pot=21.59 Rg=11.633 SPS=14643 \n", "bl=0 pos[1]=[4.2 17.3 0.6] dr=1.24 t=0.0ps kin=1.44 pot=21.62 Rg=11.594 SPS=15126 \n", "bl=0 pos[1]=[3.2 17.5 1.5] dr=1.22 t=0.0ps kin=1.45 pot=21.57 Rg=11.590 SPS=13579 \n", "bl=0 pos[1]=[2.3 16.5 1.5] dr=1.23 t=0.0ps kin=1.46 pot=21.58 Rg=11.643 SPS=14483 \n", "bl=0 pos[1]=[2.3 16.2 2.3] dr=1.21 t=0.0ps kin=1.48 pot=21.61 Rg=11.668 SPS=14565 \n", "bl=0 pos[1]=[0.9 15.4 2.4] dr=1.27 t=0.0ps kin=1.49 pot=21.56 Rg=11.688 SPS=15540 \n", "bl=0 pos[1]=[-0.9 14.0 2.6] dr=1.27 t=0.0ps kin=1.47 pot=21.62 Rg=11.678 SPS=15674 \n", "bl=0 pos[1]=[-1.3 12.1 3.2] dr=1.24 t=0.0ps kin=1.50 pot=21.60 Rg=11.627 SPS=14832 \n", "bl=0 pos[1]=[-1.5 11.1 2.7] dr=1.21 t=0.0ps kin=1.50 pot=21.60 Rg=11.632 SPS=15716 \n", "bl=0 pos[1]=[-1.4 11.8 4.0] dr=1.25 t=0.0ps kin=1.53 pot=21.56 Rg=11.715 SPS=16122 \n", "bl=0 pos[1]=[0.3 12.8 4.5] dr=1.25 t=0.0ps kin=1.57 pot=21.54 Rg=11.768 SPS=14995 \n", "bl=0 pos[1]=[2.5 13.6 4.2] dr=1.30 t=0.0ps kin=1.51 pot=21.57 Rg=11.756 SPS=13949 \n", "bl=0 pos[1]=[2.8 13.5 4.5] dr=1.26 t=0.0ps kin=1.49 pot=21.60 Rg=11.756 SPS=14822 \n", "bl=0 pos[1]=[2.5 16.1 4.5] dr=1.30 t=0.0ps kin=1.52 pot=21.56 Rg=11.768 SPS=15616 \n", "bl=0 pos[1]=[2.8 17.0 4.0] dr=1.26 t=0.0ps kin=1.49 pot=21.57 Rg=11.789 SPS=15202 \n", "bl=0 pos[1]=[5.0 15.6 5.8] dr=1.26 t=0.0ps kin=1.49 pot=21.62 Rg=11.818 SPS=15381 \n", "bl=0 pos[1]=[6.6 14.4 7.4] dr=1.30 t=0.0ps kin=1.57 pot=21.58 Rg=11.791 SPS=15474 \n", "bl=0 pos[1]=[6.1 14.6 9.0] dr=1.26 t=0.0ps kin=1.50 pot=21.58 Rg=11.746 SPS=15067 \n", "bl=0 pos[1]=[5.7 13.3 9.1] dr=1.23 t=0.0ps kin=1.48 pot=21.56 Rg=11.727 SPS=14807 \n", "bl=0 pos[1]=[5.2 11.7 8.8] dr=1.26 t=0.0ps kin=1.48 pot=21.56 Rg=11.721 SPS=15734 \n", "bl=0 pos[1]=[5.9 11.0 7.3] dr=1.23 t=0.0ps kin=1.48 pot=21.56 Rg=11.698 SPS=15824 \n", "bl=0 pos[1]=[6.4 11.7 6.7] dr=1.27 t=0.0ps kin=1.49 pot=21.57 Rg=11.685 SPS=14496 \n", "bl=0 pos[1]=[5.1 10.6 7.1] dr=1.28 t=0.0ps kin=1.45 pot=21.58 Rg=11.718 SPS=15761 \n", "bl=0 pos[1]=[5.9 11.5 7.7] dr=1.28 t=0.0ps kin=1.50 pot=21.65 Rg=11.758 SPS=14670 \n", "bl=0 pos[1]=[5.2 12.4 9.5] dr=1.28 t=0.0ps kin=1.58 pot=21.62 Rg=11.786 SPS=15269 \n", "bl=0 pos[1]=[4.3 15.6 9.0] dr=1.28 t=0.0ps kin=1.58 pot=21.62 Rg=11.825 SPS=14865 \n", "bl=0 pos[1]=[3.1 16.4 8.7] dr=1.27 t=0.0ps kin=1.50 pot=21.63 Rg=11.858 SPS=14738 \n", "bl=0 pos[1]=[-0.2 16.2 7.4] dr=1.25 t=0.0ps kin=1.51 pot=21.57 Rg=11.884 SPS=15555 \n", "bl=0 pos[1]=[-1.8 15.8 7.6] dr=1.25 t=0.0ps kin=1.53 pot=21.59 Rg=11.942 SPS=15647 \n", "bl=0 pos[1]=[-2.7 16.2 7.5] dr=1.25 t=0.0ps kin=1.49 pot=21.61 Rg=12.043 SPS=14928 \n", "bl=0 pos[1]=[-1.4 15.3 5.2] dr=1.26 t=0.0ps kin=1.50 pot=21.60 Rg=12.078 SPS=15003 \n", "bl=0 pos[1]=[-0.2 16.6 3.1] dr=1.26 t=0.0ps kin=1.54 pot=21.57 Rg=12.096 SPS=14607 \n", "bl=0 pos[1]=[-1.1 18.1 1.9] dr=1.26 t=0.0ps kin=1.51 pot=21.62 Rg=12.087 SPS=16222 \n", "bl=0 pos[1]=[-1.2 18.5 3.5] dr=1.28 t=0.0ps kin=1.55 pot=21.56 Rg=12.080 SPS=15733 \n", "bl=0 pos[1]=[-1.1 19.5 4.9] dr=1.24 t=0.0ps kin=1.49 pot=21.60 Rg=12.058 SPS=14348 \n", "bl=0 pos[1]=[0.4 19.3 5.7] dr=1.23 t=0.0ps kin=1.47 pot=21.64 Rg=12.019 SPS=15288 \n", "bl=0 pos[1]=[1.3 19.4 5.9] dr=1.21 t=0.0ps kin=1.51 pot=21.58 Rg=12.012 SPS=15142 \n", "bl=0 pos[1]=[3.2 19.3 6.5] dr=1.24 t=0.0ps kin=1.47 pot=21.56 Rg=12.011 SPS=14530 \n", "bl=0 pos[1]=[4.3 16.5 6.2] dr=1.26 t=0.0ps kin=1.46 pot=21.57 Rg=12.000 SPS=15494 \n", "bl=0 pos[1]=[4.4 16.8 7.6] dr=1.27 t=0.0ps kin=1.48 pot=21.60 Rg=11.985 SPS=14728 \n", "bl=0 pos[1]=[6.4 17.2 7.9] dr=1.25 t=0.0ps kin=1.58 pot=21.59 Rg=11.979 SPS=14530 \n", "bl=0 pos[1]=[6.3 18.8 7.0] dr=1.24 t=0.0ps kin=1.47 pot=21.62 Rg=11.980 SPS=15446 \n", "bl=0 pos[1]=[6.3 18.3 6.1] dr=1.25 t=0.0ps kin=1.50 pot=21.60 Rg=11.987 SPS=15151 \n", "bl=0 pos[1]=[5.4 16.6 5.5] dr=1.26 t=0.0ps kin=1.49 pot=21.58 Rg=12.003 SPS=15394 \n", "bl=0 pos[1]=[5.7 16.3 6.6] dr=1.25 t=0.0ps kin=1.53 pot=21.55 Rg=12.009 SPS=15505 \n", "bl=0 pos[1]=[4.9 17.0 6.5] dr=1.24 t=0.0ps kin=1.52 pot=21.57 Rg=11.978 SPS=15430 \n", "bl=0 pos[1]=[6.1 17.0 8.5] dr=1.25 t=0.0ps kin=1.50 pot=21.58 Rg=11.906 SPS=15184 \n", "bl=0 pos[1]=[5.2 16.0 10.7] dr=1.25 t=0.0ps kin=1.51 pot=21.60 Rg=11.851 SPS=14792 \n", "bl=0 pos[1]=[5.8 14.2 10.1] dr=1.25 t=0.0ps kin=1.53 pot=21.64 Rg=11.769 SPS=16055 \n", "bl=0 pos[1]=[6.8 14.2 9.2] dr=1.27 t=0.0ps kin=1.52 pot=21.61 Rg=11.732 SPS=15562 \n", "bl=0 pos[1]=[8.1 13.6 7.7] dr=1.29 t=0.0ps kin=1.49 pot=21.62 Rg=11.713 SPS=15357 \n", "bl=0 pos[1]=[8.7 11.6 6.4] dr=1.28 t=0.0ps kin=1.51 pot=21.64 Rg=11.724 SPS=15244 \n", "bl=0 pos[1]=[8.0 10.5 7.2] dr=1.29 t=0.0ps kin=1.52 pot=21.59 Rg=11.728 SPS=15944 \n", "bl=0 pos[1]=[8.4 10.5 7.2] dr=1.26 t=0.0ps kin=1.45 pot=21.59 Rg=11.685 SPS=15161 \n", "bl=0 pos[1]=[8.5 11.2 6.0] dr=1.26 t=0.0ps kin=1.49 pot=21.58 Rg=11.627 SPS=15916 \n", "bl=0 pos[1]=[7.5 12.1 5.7] dr=1.24 t=0.0ps kin=1.49 pot=21.57 Rg=11.596 SPS=15792 \n", "bl=0 pos[1]=[9.2 13.8 4.4] dr=1.27 t=0.0ps kin=1.53 pot=21.56 Rg=11.644 SPS=15226 \n", "bl=0 pos[1]=[10.3 14.3 5.7] dr=1.30 t=0.0ps kin=1.51 pot=21.57 Rg=11.698 SPS=16051 \n", "bl=0 pos[1]=[12.0 14.2 5.9] dr=1.27 t=0.0ps kin=1.53 pot=21.55 Rg=11.748 SPS=15785 \n", "bl=0 pos[1]=[12.6 14.4 6.3] dr=1.29 t=0.0ps kin=1.54 pot=21.55 Rg=11.754 SPS=14919 \n", "bl=0 pos[1]=[12.7 13.9 5.8] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.698 SPS=14968 \n", "bl=0 pos[1]=[11.5 13.4 5.2] dr=1.23 t=0.0ps kin=1.45 pot=21.58 Rg=11.655 SPS=15456 \n", "bl=0 pos[1]=[10.8 14.4 4.5] dr=1.24 t=0.0ps kin=1.44 pot=21.56 Rg=11.647 SPS=15596 \n", "bl=0 pos[1]=[10.5 12.2 3.7] dr=1.25 t=0.0ps kin=1.50 pot=21.55 Rg=11.645 SPS=15459 \n", "bl=0 pos[1]=[9.1 11.7 1.9] dr=1.24 t=0.0ps kin=1.53 pot=21.53 Rg=11.595 SPS=15617 \n", "bl=0 pos[1]=[7.7 12.9 -0.3] dr=1.26 t=0.0ps kin=1.55 pot=21.60 Rg=11.539 SPS=14885 \n", "bl=0 pos[1]=[8.1 13.5 -0.5] dr=1.28 t=0.0ps kin=1.51 pot=21.65 Rg=11.524 SPS=15627 \n", "bl=0 pos[1]=[7.3 12.0 -1.2] dr=1.28 t=0.0ps kin=1.56 pot=21.58 Rg=11.514 SPS=13846 \n", "bl=0 pos[1]=[6.5 11.7 -1.3] dr=1.29 t=0.0ps kin=1.50 pot=21.57 Rg=11.507 SPS=15385 \n", "bl=0 pos[1]=[5.5 10.5 -0.8] dr=1.28 t=0.0ps kin=1.47 pot=21.59 Rg=11.480 SPS=15372 \n", "bl=0 pos[1]=[6.0 10.3 0.8] dr=1.27 t=0.0ps kin=1.53 pot=21.56 Rg=11.428 SPS=14014 \n", "bl=0 pos[1]=[6.8 11.4 2.5] dr=1.26 t=0.0ps kin=1.50 pot=21.60 Rg=11.403 SPS=14677 \n", "bl=0 pos[1]=[6.6 10.9 0.3] dr=1.27 t=0.0ps kin=1.52 pot=21.61 Rg=11.429 SPS=14508 \n", "bl=0 pos[1]=[7.6 12.9 -0.2] dr=1.25 t=0.0ps kin=1.48 pot=21.61 Rg=11.502 SPS=15046 \n", "bl=0 pos[1]=[9.2 13.5 -1.6] dr=1.27 t=0.0ps kin=1.51 pot=21.57 Rg=11.571 SPS=14682 \n", "bl=0 pos[1]=[8.7 13.0 -2.2] dr=1.29 t=0.0ps kin=1.51 pot=21.59 Rg=11.597 SPS=14980 \n", "bl=0 pos[1]=[8.8 12.2 -1.9] dr=1.27 t=0.0ps kin=1.46 pot=21.62 Rg=11.592 SPS=14717 \n", "bl=0 pos[1]=[9.1 13.0 -3.1] dr=1.26 t=0.0ps kin=1.51 pot=21.58 Rg=11.599 SPS=13925 \n", "bl=0 pos[1]=[10.4 13.0 -2.6] dr=1.27 t=0.0ps kin=1.53 pot=21.59 Rg=11.589 SPS=14274 \n", "bl=0 pos[1]=[10.0 13.1 -3.1] dr=1.28 t=0.0ps kin=1.52 pot=21.61 Rg=11.542 SPS=14183 \n", "bl=0 pos[1]=[9.0 12.2 -3.2] dr=1.26 t=0.0ps kin=1.51 pot=21.59 Rg=11.479 SPS=15679 \n", "bl=0 pos[1]=[7.2 12.6 -4.5] dr=1.26 t=0.0ps kin=1.51 pot=21.61 Rg=11.404 SPS=15416 \n", "bl=0 pos[1]=[6.2 14.6 -4.4] dr=1.28 t=0.0ps kin=1.52 pot=21.63 Rg=11.348 SPS=16134 \n", "bl=0 pos[1]=[6.0 14.5 -4.8] dr=1.27 t=0.0ps kin=1.52 pot=21.56 Rg=11.367 SPS=14773 \n", "bl=0 pos[1]=[7.0 13.6 -3.6] dr=1.27 t=0.0ps kin=1.50 pot=21.54 Rg=11.342 SPS=14545 \n", "bl=0 pos[1]=[7.7 13.2 -2.9] dr=1.27 t=0.0ps kin=1.51 pot=21.50 Rg=11.309 SPS=13732 \n", "bl=0 pos[1]=[8.2 13.7 -4.0] dr=1.26 t=0.0ps kin=1.45 pot=21.57 Rg=11.276 SPS=13899 \n", "bl=0 pos[1]=[8.9 14.5 -3.2] dr=1.24 t=0.0ps kin=1.50 pot=21.54 Rg=11.265 SPS=15524 \n", "bl=0 pos[1]=[7.9 13.2 -2.2] dr=1.24 t=0.0ps kin=1.47 pot=21.63 Rg=11.261 SPS=14919 \n", "bl=0 pos[1]=[9.7 12.0 -1.6] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.252 SPS=14731 \n", "bl=0 pos[1]=[11.3 12.0 -1.3] dr=1.26 t=0.0ps kin=1.50 pot=21.58 Rg=11.293 SPS=15438 \n", "bl=0 pos[1]=[11.5 10.7 -0.3] dr=1.25 t=0.0ps kin=1.51 pot=21.60 Rg=11.355 SPS=14726 \n", "bl=0 pos[1]=[12.6 11.8 -0.0] dr=1.27 t=0.0ps kin=1.51 pot=21.61 Rg=11.453 SPS=15509 \n", "bl=0 pos[1]=[12.1 13.2 -0.6] dr=1.26 t=0.0ps kin=1.48 pot=21.60 Rg=11.555 SPS=15026 \n", "bl=0 pos[1]=[11.3 14.9 0.7] dr=1.24 t=0.0ps kin=1.49 pot=21.56 Rg=11.594 SPS=14180 \n", "bl=0 pos[1]=[9.8 14.1 2.2] dr=1.25 t=0.0ps kin=1.50 pot=21.60 Rg=11.619 SPS=15133 \n", "bl=0 pos[1]=[10.3 13.5 2.7] dr=1.26 t=0.0ps kin=1.48 pot=21.61 Rg=11.687 SPS=14096 \n", "bl=0 pos[1]=[10.3 14.4 3.0] dr=1.23 t=0.0ps kin=1.49 pot=21.58 Rg=11.754 SPS=14581 \n", "bl=0 pos[1]=[10.0 14.1 3.9] dr=1.30 t=0.0ps kin=1.52 pot=21.56 Rg=11.824 SPS=15088 \n", "bl=0 pos[1]=[9.8 13.6 4.2] dr=1.29 t=0.0ps kin=1.49 pot=21.58 Rg=11.925 SPS=15267 \n", "bl=0 pos[1]=[9.2 12.9 4.7] dr=1.28 t=0.0ps kin=1.50 pot=21.58 Rg=12.006 SPS=15473 \n", "bl=0 pos[1]=[8.4 13.5 5.3] dr=1.23 t=0.0ps kin=1.47 pot=21.64 Rg=12.017 SPS=14429 \n", "bl=0 pos[1]=[7.9 13.6 5.1] dr=1.25 t=0.0ps kin=1.51 pot=21.61 Rg=12.007 SPS=15493 \n", "bl=0 pos[1]=[7.7 14.4 5.1] dr=1.22 t=0.0ps kin=1.50 pot=21.54 Rg=12.020 SPS=15450 \n", "bl=0 pos[1]=[8.6 13.9 5.7] dr=1.27 t=0.0ps kin=1.50 pot=21.55 Rg=12.052 SPS=14219 \n", "bl=0 pos[1]=[9.0 12.8 5.4] dr=1.24 t=0.0ps kin=1.43 pot=21.58 Rg=12.040 SPS=15895 \n", "bl=0 pos[1]=[7.7 11.5 5.5] dr=1.25 t=0.0ps kin=1.46 pot=21.56 Rg=12.008 SPS=15294 \n", "bl=0 pos[1]=[6.9 10.5 5.1] dr=1.27 t=0.0ps kin=1.48 pot=21.59 Rg=12.040 SPS=14041 \n", "bl=0 pos[1]=[5.2 11.6 4.3] dr=1.26 t=0.0ps kin=1.45 pot=21.62 Rg=12.074 SPS=15221 \n", "bl=0 pos[1]=[4.8 12.7 4.2] dr=1.23 t=0.0ps kin=1.48 pot=21.62 Rg=12.095 SPS=13564 \n", "bl=0 pos[1]=[6.1 14.3 4.9] dr=1.26 t=0.0ps kin=1.57 pot=21.57 Rg=12.159 SPS=15436 \n", "bl=0 pos[1]=[6.6 12.5 5.3] dr=1.25 t=0.0ps kin=1.48 pot=21.59 Rg=12.197 SPS=14542 \n", "bl=0 pos[1]=[7.1 13.1 4.7] dr=1.22 t=0.0ps kin=1.51 pot=21.59 Rg=12.208 SPS=14816 \n", "bl=0 pos[1]=[7.1 13.6 3.9] dr=1.29 t=0.0ps kin=1.52 pot=21.58 Rg=12.203 SPS=15181 \n", "bl=0 pos[1]=[6.3 14.7 4.1] dr=1.29 t=0.0ps kin=1.51 pot=21.58 Rg=12.224 SPS=14865 \n", "bl=0 pos[1]=[4.8 15.8 3.9] dr=1.27 t=0.0ps kin=1.53 pot=21.56 Rg=12.261 SPS=15235 \n", "bl=0 pos[1]=[4.9 16.1 1.9] dr=1.31 t=0.0ps kin=1.50 pot=21.59 Rg=12.343 SPS=14562 \n", "bl=0 pos[1]=[4.0 15.8 0.8] dr=1.32 t=0.0ps kin=1.52 pot=21.60 Rg=12.371 SPS=15078 \n", "bl=0 pos[1]=[4.6 14.2 -1.1] dr=1.28 t=0.0ps kin=1.57 pot=21.57 Rg=12.331 SPS=15550 \n", "bl=0 pos[1]=[6.8 14.2 -2.1] dr=1.28 t=0.0ps kin=1.50 pot=21.61 Rg=12.252 SPS=14613 \n", "bl=0 pos[1]=[6.7 15.1 -2.8] dr=1.26 t=0.0ps kin=1.48 pot=21.66 Rg=12.146 SPS=14280 \n", "bl=0 pos[1]=[6.8 15.4 -3.2] dr=1.27 t=0.0ps kin=1.49 pot=21.63 Rg=12.076 SPS=13838 \n", "bl=0 pos[1]=[7.0 15.6 -2.4] dr=1.24 t=0.0ps kin=1.51 pot=21.63 Rg=12.019 SPS=15198 \n", "bl=0 pos[1]=[8.0 15.0 -1.7] dr=1.24 t=0.0ps kin=1.47 pot=21.63 Rg=12.013 SPS=15690 \n", "bl=0 pos[1]=[8.9 16.4 -2.3] dr=1.24 t=0.0ps kin=1.54 pot=21.60 Rg=11.993 SPS=15286 \n", "bl=0 pos[1]=[9.5 14.9 -1.9] dr=1.28 t=0.0ps kin=1.53 pot=21.63 Rg=11.987 SPS=15493 \n", "bl=0 pos[1]=[10.3 13.4 -0.5] dr=1.31 t=0.0ps kin=1.56 pot=21.64 Rg=11.962 SPS=13843 \n", "bl=0 pos[1]=[9.8 13.0 -0.7] dr=1.28 t=0.0ps kin=1.53 pot=21.63 Rg=11.964 SPS=14480 \n", "bl=0 pos[1]=[9.6 12.9 -0.2] dr=1.26 t=0.0ps kin=1.50 pot=21.62 Rg=11.974 SPS=15336 \n", "bl=0 pos[1]=[9.3 13.5 -0.0] dr=1.24 t=0.0ps kin=1.51 pot=21.62 Rg=11.959 SPS=15035 \n", "bl=0 pos[1]=[7.9 12.3 -0.3] dr=1.25 t=0.0ps kin=1.52 pot=21.60 Rg=11.874 SPS=15215 \n", "bl=0 pos[1]=[9.3 10.4 0.2] dr=1.26 t=0.0ps kin=1.51 pot=21.58 Rg=11.855 SPS=14117 \n", "bl=0 pos[1]=[11.6 12.2 -1.0] dr=1.27 t=0.0ps kin=1.51 pot=21.59 Rg=11.853 SPS=15139 \n", "bl=0 pos[1]=[12.8 12.8 -3.5] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.843 SPS=15094 \n", "bl=0 pos[1]=[12.0 11.2 -5.3] dr=1.25 t=0.0ps kin=1.51 pot=21.54 Rg=11.866 SPS=14067 \n", "bl=0 pos[1]=[12.7 10.1 -5.1] dr=1.27 t=0.0ps kin=1.50 pot=21.58 Rg=11.896 SPS=15537 \n", "bl=0 pos[1]=[14.2 10.6 -3.1] dr=1.23 t=0.0ps kin=1.51 pot=21.58 Rg=11.919 SPS=15163 \n", "bl=0 pos[1]=[14.8 10.2 -2.2] dr=1.23 t=0.0ps kin=1.46 pot=21.60 Rg=11.928 SPS=15143 \n", "bl=0 pos[1]=[15.8 10.2 -4.5] dr=1.26 t=0.0ps kin=1.49 pot=21.61 Rg=11.903 SPS=15407 \n", "bl=0 pos[1]=[14.8 9.7 -2.9] dr=1.24 t=0.0ps kin=1.54 pot=21.60 Rg=11.861 SPS=14401 \n", "bl=0 pos[1]=[14.6 9.7 -2.6] dr=1.22 t=0.0ps kin=1.48 pot=21.63 Rg=11.843 SPS=15047 \n", "bl=0 pos[1]=[13.2 9.4 -3.2] dr=1.22 t=0.0ps kin=1.53 pot=21.63 Rg=11.825 SPS=13932 \n", "bl=0 pos[1]=[13.2 9.2 -3.4] dr=1.28 t=0.0ps kin=1.50 pot=21.63 Rg=11.796 SPS=14650 \n", "bl=0 pos[1]=[13.2 8.5 -3.3] dr=1.25 t=0.0ps kin=1.53 pot=21.57 Rg=11.761 SPS=15033 \n", "bl=0 pos[1]=[13.8 8.7 -3.5] dr=1.26 t=0.0ps kin=1.56 pot=21.64 Rg=11.664 SPS=14740 \n", "bl=0 pos[1]=[14.9 8.4 -3.5] dr=1.29 t=0.0ps kin=1.58 pot=21.61 Rg=11.591 SPS=15200 \n", "bl=0 pos[1]=[15.5 9.3 -4.0] dr=1.29 t=0.0ps kin=1.49 pot=21.59 Rg=11.538 SPS=14298 \n", "bl=0 pos[1]=[16.5 10.2 -3.8] dr=1.22 t=0.0ps kin=1.46 pot=21.58 Rg=11.537 SPS=15419 \n", "bl=0 pos[1]=[16.2 9.0 -3.8] dr=1.27 t=0.0ps kin=1.49 pot=21.54 Rg=11.516 SPS=15181 \n", "bl=0 pos[1]=[15.1 8.0 -5.6] dr=1.26 t=0.0ps kin=1.47 pot=21.59 Rg=11.468 SPS=14796 \n", "bl=0 pos[1]=[13.1 7.6 -6.1] dr=1.25 t=0.0ps kin=1.48 pot=21.61 Rg=11.479 SPS=14794 \n", "bl=0 pos[1]=[13.1 8.3 -5.3] dr=1.23 t=0.0ps kin=1.48 pot=21.59 Rg=11.508 SPS=14382 \n", "bl=0 pos[1]=[13.0 9.2 -5.6] dr=1.24 t=0.0ps kin=1.54 pot=21.56 Rg=11.515 SPS=15385 \n", "bl=0 pos[1]=[14.1 10.2 -6.4] dr=1.26 t=0.0ps kin=1.53 pot=21.53 Rg=11.566 SPS=15152 \n", "bl=0 pos[1]=[14.7 10.4 -7.1] dr=1.24 t=0.0ps kin=1.42 pot=21.62 Rg=11.614 SPS=14194 \n", "bl=0 pos[1]=[14.2 10.1 -6.1] dr=1.25 t=0.0ps kin=1.46 pot=21.62 Rg=11.613 SPS=15414 \n", "bl=0 pos[1]=[14.6 9.0 -3.5] dr=1.23 t=0.0ps kin=1.49 pot=21.58 Rg=11.600 SPS=14618 \n", "bl=0 pos[1]=[14.3 8.3 -2.3] dr=1.23 t=0.0ps kin=1.53 pot=21.59 Rg=11.579 SPS=15365 \n", "bl=0 pos[1]=[15.0 9.1 -1.5] dr=1.24 t=0.0ps kin=1.50 pot=21.59 Rg=11.530 SPS=15023 \n", "bl=0 pos[1]=[16.4 9.6 -1.4] dr=1.24 t=0.0ps kin=1.51 pot=21.63 Rg=11.517 SPS=14392 \n", "bl=0 pos[1]=[17.1 9.0 -1.8] dr=1.28 t=0.0ps kin=1.53 pot=21.63 Rg=11.553 SPS=15165 \n", "bl=0 pos[1]=[17.4 10.1 -2.8] dr=1.29 t=0.0ps kin=1.53 pot=21.67 Rg=11.569 SPS=14889 \n", "bl=0 pos[1]=[17.3 8.4 -3.9] dr=1.27 t=0.0ps kin=1.52 pot=21.60 Rg=11.567 SPS=15775 \n", "bl=0 pos[1]=[16.4 7.5 -3.3] dr=1.25 t=0.0ps kin=1.57 pot=21.60 Rg=11.534 SPS=16002 \n", "bl=0 pos[1]=[16.1 7.1 -2.8] dr=1.28 t=0.0ps kin=1.58 pot=21.61 Rg=11.528 SPS=14810 \n", "bl=0 pos[1]=[15.8 6.5 -2.3] dr=1.27 t=0.0ps kin=1.56 pot=21.58 Rg=11.512 SPS=16148 \n", "bl=0 pos[1]=[16.7 7.0 -1.7] dr=1.27 t=0.0ps kin=1.51 pot=21.62 Rg=11.469 SPS=14941 \n", "bl=0 pos[1]=[16.8 8.3 -2.3] dr=1.27 t=0.0ps kin=1.54 pot=21.58 Rg=11.495 SPS=14530 \n", "bl=0 pos[1]=[16.7 8.1 0.1] dr=1.26 t=0.0ps kin=1.51 pot=21.61 Rg=11.548 SPS=15569 \n", "bl=0 pos[1]=[15.3 8.6 2.5] dr=1.31 t=0.0ps kin=1.54 pot=21.62 Rg=11.606 SPS=15542 \n", "bl=0 pos[1]=[13.8 7.5 4.1] dr=1.28 t=0.0ps kin=1.50 pot=21.62 Rg=11.611 SPS=15047 \n", "bl=0 pos[1]=[12.5 7.4 4.8] dr=1.26 t=0.0ps kin=1.54 pot=21.63 Rg=11.615 SPS=15173 \n", "bl=0 pos[1]=[10.5 7.3 6.9] dr=1.26 t=0.0ps kin=1.49 pot=21.58 Rg=11.616 SPS=15766 \n", "bl=0 pos[1]=[9.5 6.5 6.8] dr=1.28 t=0.0ps kin=1.52 pot=21.57 Rg=11.648 SPS=14900 \n", "bl=0 pos[1]=[7.7 8.1 5.4] dr=1.27 t=0.0ps kin=1.52 pot=21.57 Rg=11.702 SPS=15392 \n", "bl=0 pos[1]=[7.4 10.8 6.7] dr=1.26 t=0.0ps kin=1.46 pot=21.62 Rg=11.756 SPS=15789 \n", "bl=0 pos[1]=[6.7 13.2 5.5] dr=1.25 t=0.0ps kin=1.52 pot=21.56 Rg=11.782 SPS=15868 \n", "bl=0 pos[1]=[7.1 14.8 4.4] dr=1.24 t=0.0ps kin=1.51 pot=21.59 Rg=11.711 SPS=15578 \n", "bl=0 pos[1]=[7.7 15.2 4.9] dr=1.27 t=0.0ps kin=1.45 pot=21.65 Rg=11.679 SPS=15016 \n", "bl=0 pos[1]=[6.9 15.1 5.7] dr=1.23 t=0.0ps kin=1.51 pot=21.63 Rg=11.663 SPS=15924 \n", "bl=0 pos[1]=[7.0 16.5 6.2] dr=1.27 t=0.0ps kin=1.50 pot=21.61 Rg=11.624 SPS=15485 \n", "bl=0 pos[1]=[7.8 15.9 5.2] dr=1.29 t=0.0ps kin=1.49 pot=21.59 Rg=11.553 SPS=15240 \n", "bl=0 pos[1]=[7.1 15.6 7.5] dr=1.24 t=0.0ps kin=1.53 pot=21.61 Rg=11.502 SPS=15795 \n", "bl=0 pos[1]=[6.8 14.5 7.4] dr=1.24 t=0.0ps kin=1.50 pot=21.67 Rg=11.530 SPS=15946 \n", "bl=0 pos[1]=[6.5 14.4 7.2] dr=1.26 t=0.0ps kin=1.55 pot=21.62 Rg=11.534 SPS=14095 \n", "bl=0 pos[1]=[6.7 14.8 6.0] dr=1.28 t=0.0ps kin=1.52 pot=21.62 Rg=11.528 SPS=15763 \n", "bl=0 pos[1]=[7.2 14.4 7.0] dr=1.24 t=0.0ps kin=1.52 pot=21.58 Rg=11.538 SPS=14915 \n", "bl=0 pos[1]=[6.5 12.6 7.2] dr=1.28 t=0.0ps kin=1.51 pot=21.63 Rg=11.556 SPS=14796 \n", "bl=0 pos[1]=[5.8 11.9 9.8] dr=1.26 t=0.0ps kin=1.50 pot=21.64 Rg=11.574 SPS=15816 \n", "bl=0 pos[1]=[4.6 11.5 9.3] dr=1.30 t=0.0ps kin=1.52 pot=21.60 Rg=11.539 SPS=15681 \n", "bl=0 pos[1]=[5.6 11.7 7.9] dr=1.28 t=0.0ps kin=1.48 pot=21.63 Rg=11.493 SPS=15412 \n", "bl=0 pos[1]=[6.3 10.5 7.6] dr=1.27 t=0.0ps kin=1.55 pot=21.58 Rg=11.470 SPS=15985 \n", "bl=0 pos[1]=[5.7 10.3 8.3] dr=1.27 t=0.0ps kin=1.55 pot=21.58 Rg=11.474 SPS=15454 \n", "bl=0 pos[1]=[5.9 10.6 7.7] dr=1.26 t=0.0ps kin=1.51 pot=21.59 Rg=11.447 SPS=15298 \n", "bl=0 pos[1]=[5.8 12.6 6.0] dr=1.26 t=0.0ps kin=1.49 pot=21.57 Rg=11.393 SPS=14544 \n", "bl=0 pos[1]=[4.2 12.8 7.0] dr=1.30 t=0.0ps kin=1.53 pot=21.54 Rg=11.342 SPS=14763 \n", "bl=0 pos[1]=[3.6 14.0 7.6] dr=1.28 t=0.0ps kin=1.56 pot=21.56 Rg=11.299 SPS=15452 \n", "bl=0 pos[1]=[4.1 15.4 6.7] dr=1.23 t=0.0ps kin=1.52 pot=21.51 Rg=11.274 SPS=15141 \n", "bl=0 pos[1]=[5.1 16.5 6.7] dr=1.24 t=0.0ps kin=1.52 pot=21.59 Rg=11.243 SPS=14290 \n", "bl=0 pos[1]=[5.0 17.1 6.6] dr=1.27 t=0.0ps kin=1.52 pot=21.53 Rg=11.273 SPS=14552 \n", "bl=0 pos[1]=[4.5 16.9 7.0] dr=1.23 t=0.0ps kin=1.41 pot=21.61 Rg=11.266 SPS=14291 \n", "bl=0 pos[1]=[3.7 15.2 7.0] dr=1.22 t=0.0ps kin=1.45 pot=21.60 Rg=11.295 SPS=14788 \n", "bl=0 pos[1]=[2.9 14.3 5.9] dr=1.24 t=0.0ps kin=1.53 pot=21.58 Rg=11.359 SPS=14975 \n", "bl=0 pos[1]=[2.4 14.7 5.7] dr=1.23 t=0.0ps kin=1.49 pot=21.61 Rg=11.396 SPS=15083 \n", "bl=0 pos[1]=[2.5 14.1 5.4] dr=1.22 t=0.0ps kin=1.51 pot=21.63 Rg=11.381 SPS=15412 \n", "bl=0 pos[1]=[3.0 14.1 5.5] dr=1.25 t=0.0ps kin=1.54 pot=21.58 Rg=11.362 SPS=14164 \n", "bl=0 pos[1]=[4.7 13.3 6.3] dr=1.24 t=0.0ps kin=1.48 pot=21.60 Rg=11.344 SPS=15530 \n", "bl=0 pos[1]=[7.0 15.1 5.9] dr=1.27 t=0.0ps kin=1.52 pot=21.56 Rg=11.321 SPS=15475 \n", "bl=0 pos[1]=[9.4 13.7 4.7] dr=1.29 t=0.0ps kin=1.50 pot=21.53 Rg=11.257 SPS=14924 \n", "bl=0 pos[1]=[10.0 14.0 4.4] dr=1.27 t=0.0ps kin=1.48 pot=21.57 Rg=11.220 SPS=15032 \n", "bl=0 pos[1]=[9.1 12.9 4.2] dr=1.28 t=0.0ps kin=1.54 pot=21.59 Rg=11.169 SPS=14250 \n", "bl=0 pos[1]=[8.0 12.7 1.9] dr=1.29 t=0.0ps kin=1.54 pot=21.58 Rg=11.142 SPS=15110 \n", "bl=0 pos[1]=[7.9 13.8 2.8] dr=1.29 t=0.0ps kin=1.50 pot=21.59 Rg=11.149 SPS=15232 \n", "bl=0 pos[1]=[9.0 13.2 4.5] dr=1.29 t=0.0ps kin=1.56 pot=21.56 Rg=11.201 SPS=14520 \n", "bl=0 pos[1]=[10.8 11.3 3.1] dr=1.27 t=0.0ps kin=1.52 pot=21.56 Rg=11.253 SPS=15080 \n", "bl=0 pos[1]=[10.8 10.2 3.0] dr=1.27 t=0.0ps kin=1.52 pot=21.58 Rg=11.294 SPS=14424 \n", "bl=0 pos[1]=[10.9 8.9 4.1] dr=1.31 t=0.0ps kin=1.48 pot=21.59 Rg=11.300 SPS=14721 \n", "bl=0 pos[1]=[10.4 8.3 5.9] dr=1.22 t=0.0ps kin=1.50 pot=21.57 Rg=11.270 SPS=13729 \n", "bl=0 pos[1]=[9.4 9.1 7.3] dr=1.22 t=0.0ps kin=1.52 pot=21.55 Rg=11.234 SPS=14649 \n", "bl=0 pos[1]=[10.1 10.0 7.6] dr=1.29 t=0.0ps kin=1.52 pot=21.56 Rg=11.169 SPS=15054 \n", "bl=0 pos[1]=[10.6 10.5 6.3] dr=1.29 t=0.0ps kin=1.54 pot=21.55 Rg=11.110 SPS=13729 \n", "bl=0 pos[1]=[9.6 10.5 6.4] dr=1.27 t=0.0ps kin=1.49 pot=21.56 Rg=11.100 SPS=14563 \n", "bl=0 pos[1]=[9.1 9.7 5.5] dr=1.23 t=0.0ps kin=1.50 pot=21.54 Rg=11.140 SPS=13892 \n", "bl=0 pos[1]=[8.5 8.6 4.4] dr=1.24 t=0.0ps kin=1.47 pot=21.53 Rg=11.189 SPS=15372 \n", "bl=0 pos[1]=[8.4 7.3 2.7] dr=1.26 t=0.0ps kin=1.47 pot=21.59 Rg=11.219 SPS=14535 \n", "bl=0 pos[1]=[6.9 6.1 1.7] dr=1.24 t=0.0ps kin=1.44 pot=21.56 Rg=11.298 SPS=15139 \n", "bl=0 pos[1]=[6.2 6.2 2.3] dr=1.20 t=0.0ps kin=1.43 pot=21.58 Rg=11.353 SPS=15267 \n", "bl=0 pos[1]=[6.9 5.7 1.9] dr=1.21 t=0.0ps kin=1.53 pot=21.56 Rg=11.377 SPS=14895 \n", "bl=0 pos[1]=[7.2 5.4 1.5] dr=1.28 t=0.0ps kin=1.50 pot=21.55 Rg=11.399 SPS=15297 \n", "bl=0 pos[1]=[8.7 5.7 1.4] dr=1.22 t=0.0ps kin=1.44 pot=21.58 Rg=11.387 SPS=15510 \n", "bl=0 pos[1]=[9.3 8.0 2.9] dr=1.21 t=0.0ps kin=1.52 pot=21.56 Rg=11.358 SPS=15264 \n", "bl=0 pos[1]=[8.0 7.3 3.0] dr=1.25 t=0.0ps kin=1.48 pot=21.55 Rg=11.328 SPS=15202 \n", "bl=0 pos[1]=[7.3 7.8 4.1] dr=1.25 t=0.0ps kin=1.45 pot=21.60 Rg=11.318 SPS=14731 \n", "bl=0 pos[1]=[5.9 7.8 2.6] dr=1.25 t=0.0ps kin=1.51 pot=21.61 Rg=11.329 SPS=15523 \n", "bl=0 pos[1]=[4.7 8.4 4.0] dr=1.29 t=0.0ps kin=1.55 pot=21.57 Rg=11.348 SPS=14674 \n", "bl=0 pos[1]=[3.7 10.7 5.5] dr=1.27 t=0.0ps kin=1.47 pot=21.56 Rg=11.320 SPS=14519 \n", "bl=0 pos[1]=[5.0 11.6 4.6] dr=1.27 t=0.0ps kin=1.49 pot=21.57 Rg=11.254 SPS=14949 \n", "bl=0 pos[1]=[4.0 12.1 5.5] dr=1.28 t=0.0ps kin=1.45 pot=21.59 Rg=11.223 SPS=14205 \n", "bl=0 pos[1]=[2.5 12.2 5.4] dr=1.29 t=0.0ps kin=1.55 pot=21.55 Rg=11.221 SPS=15084 \n", "bl=0 pos[1]=[2.5 11.6 4.8] dr=1.26 t=0.0ps kin=1.48 pot=21.57 Rg=11.180 SPS=15772 \n", "bl=0 pos[1]=[1.6 12.1 4.1] dr=1.28 t=0.0ps kin=1.56 pot=21.57 Rg=11.139 SPS=14671 \n", "bl=0 pos[1]=[2.5 11.6 4.0] dr=1.28 t=0.0ps kin=1.52 pot=21.61 Rg=11.111 SPS=14798 \n", "bl=0 pos[1]=[4.7 13.0 3.0] dr=1.24 t=0.0ps kin=1.51 pot=21.58 Rg=11.084 SPS=14057 \n", "bl=0 pos[1]=[6.0 15.3 4.5] dr=1.25 t=0.0ps kin=1.53 pot=21.57 Rg=11.027 SPS=14868 \n", "bl=0 pos[1]=[6.6 14.7 7.8] dr=1.24 t=0.0ps kin=1.47 pot=21.62 Rg=10.956 SPS=14636 \n", "bl=0 pos[1]=[6.0 14.0 8.8] dr=1.25 t=0.0ps kin=1.51 pot=21.58 Rg=10.903 SPS=15513 \n", "bl=0 pos[1]=[5.0 13.6 8.2] dr=1.26 t=0.0ps kin=1.50 pot=21.56 Rg=10.861 SPS=14851 \n", "bl=0 pos[1]=[3.5 13.0 8.2] dr=1.24 t=0.0ps kin=1.53 pot=21.59 Rg=10.886 SPS=14377 \n", "bl=0 pos[1]=[3.6 11.5 7.5] dr=1.26 t=0.0ps kin=1.52 pot=21.57 Rg=10.917 SPS=12716 \n", "bl=0 pos[1]=[3.0 10.0 5.8] dr=1.27 t=0.0ps kin=1.51 pot=21.58 Rg=10.914 SPS=12583 \n", "bl=0 pos[1]=[2.1 11.0 5.4] dr=1.27 t=0.0ps kin=1.54 pot=21.54 Rg=10.925 SPS=14218 \n", "bl=0 pos[1]=[2.5 10.0 3.3] dr=1.25 t=0.0ps kin=1.51 pot=21.56 Rg=10.973 SPS=14327 \n", "bl=0 pos[1]=[2.8 10.2 3.8] dr=1.23 t=0.0ps kin=1.57 pot=21.59 Rg=11.021 SPS=14723 \n", "bl=0 pos[1]=[3.2 10.0 3.0] dr=1.27 t=0.0ps kin=1.53 pot=21.63 Rg=11.071 SPS=14693 \n", "bl=0 pos[1]=[3.5 10.6 4.3] dr=1.23 t=0.0ps kin=1.57 pot=21.62 Rg=11.169 SPS=14080 \n", "bl=0 pos[1]=[3.9 12.5 4.1] dr=1.25 t=0.0ps kin=1.49 pot=21.61 Rg=11.255 SPS=13813 \n", "bl=0 pos[1]=[4.7 12.8 6.0] dr=1.25 t=0.0ps kin=1.51 pot=21.63 Rg=11.350 SPS=15194 \n", "bl=0 pos[1]=[5.1 14.3 5.9] dr=1.27 t=0.0ps kin=1.52 pot=21.60 Rg=11.433 SPS=15519 \n", "bl=0 pos[1]=[6.3 14.8 5.4] dr=1.25 t=0.0ps kin=1.51 pot=21.67 Rg=11.472 SPS=14805 \n", "bl=0 pos[1]=[5.9 12.3 3.6] dr=1.26 t=0.0ps kin=1.55 pot=21.58 Rg=11.491 SPS=14567 \n", "bl=0 pos[1]=[5.1 12.0 4.3] dr=1.24 t=0.0ps kin=1.47 pot=21.60 Rg=11.509 SPS=14593 \n", "bl=0 pos[1]=[7.4 11.7 4.0] dr=1.22 t=0.0ps kin=1.55 pot=21.57 Rg=11.526 SPS=15199 \n", "bl=0 pos[1]=[8.9 11.7 3.6] dr=1.24 t=0.0ps kin=1.56 pot=21.56 Rg=11.519 SPS=15570 \n", "bl=0 pos[1]=[8.8 11.7 3.4] dr=1.26 t=0.0ps kin=1.53 pot=21.61 Rg=11.507 SPS=14521 \n", "bl=0 pos[1]=[8.4 11.6 3.3] dr=1.24 t=0.0ps kin=1.54 pot=21.58 Rg=11.446 SPS=14533 \n", "bl=0 pos[1]=[9.8 13.0 3.5] dr=1.21 t=0.0ps kin=1.46 pot=21.56 Rg=11.423 SPS=14008 \n", "bl=0 pos[1]=[9.7 13.2 3.7] dr=1.22 t=0.0ps kin=1.48 pot=21.58 Rg=11.414 SPS=14704 \n", "bl=0 pos[1]=[9.8 13.5 2.5] dr=1.25 t=0.0ps kin=1.53 pot=21.57 Rg=11.467 SPS=13919 \n", "bl=0 pos[1]=[10.3 12.3 3.4] dr=1.28 t=0.0ps kin=1.50 pot=21.58 Rg=11.477 SPS=15753 \n", "bl=0 pos[1]=[11.9 13.2 3.0] dr=1.30 t=0.0ps kin=1.47 pot=21.63 Rg=11.499 SPS=15615 \n", "bl=0 pos[1]=[11.2 12.8 2.4] dr=1.26 t=0.0ps kin=1.51 pot=21.60 Rg=11.559 SPS=15018 \n", "bl=0 pos[1]=[9.0 13.3 2.3] dr=1.26 t=0.0ps kin=1.56 pot=21.57 Rg=11.618 SPS=15626 \n", "bl=0 pos[1]=[11.6 12.7 1.7] dr=1.28 t=0.0ps kin=1.54 pot=21.63 Rg=11.612 SPS=15235 \n", "bl=0 pos[1]=[10.2 11.8 3.4] dr=1.27 t=0.0ps kin=1.53 pot=21.64 Rg=11.646 SPS=15630 \n", "bl=0 pos[1]=[10.0 13.1 4.4] dr=1.24 t=0.0ps kin=1.52 pot=21.67 Rg=11.681 SPS=15562 \n", "bl=0 pos[1]=[10.0 14.4 5.3] dr=1.27 t=0.0ps kin=1.52 pot=21.62 Rg=11.703 SPS=15510 \n", "bl=0 pos[1]=[10.4 16.3 4.6] dr=1.26 t=0.0ps kin=1.55 pot=21.61 Rg=11.707 SPS=15191 \n", "bl=0 pos[1]=[9.4 16.7 2.9] dr=1.30 t=0.0ps kin=1.53 pot=21.56 Rg=11.679 SPS=15225 \n", "bl=0 pos[1]=[8.7 17.3 3.1] dr=1.28 t=0.0ps kin=1.49 pot=21.57 Rg=11.697 SPS=14355 \n", "bl=0 pos[1]=[9.0 16.5 4.7] dr=1.29 t=0.0ps kin=1.46 pot=21.55 Rg=11.700 SPS=15479 \n", "bl=0 pos[1]=[9.3 17.0 5.1] dr=1.27 t=0.0ps kin=1.42 pot=21.52 Rg=11.673 SPS=15146 \n", "bl=0 pos[1]=[8.2 18.2 4.6] dr=1.27 t=0.0ps kin=1.46 pot=21.53 Rg=11.650 SPS=14949 \n", "bl=0 pos[1]=[7.4 16.1 3.2] dr=1.23 t=0.0ps kin=1.44 pot=21.56 Rg=11.630 SPS=15015 \n", "bl=0 pos[1]=[9.5 15.9 4.1] dr=1.22 t=0.0ps kin=1.43 pot=21.57 Rg=11.649 SPS=14963 \n", "bl=0 pos[1]=[8.4 16.8 6.1] dr=1.22 t=0.0ps kin=1.47 pot=21.58 Rg=11.638 SPS=15988 \n", "bl=0 pos[1]=[8.8 15.5 5.6] dr=1.23 t=0.0ps kin=1.48 pot=21.61 Rg=11.576 SPS=14920 \n", "bl=0 pos[1]=[9.1 14.9 6.1] dr=1.29 t=0.0ps kin=1.45 pot=21.58 Rg=11.494 SPS=14556 \n", "bl=0 pos[1]=[6.9 14.8 5.3] dr=1.27 t=0.0ps kin=1.48 pot=21.55 Rg=11.450 SPS=15414 \n", "bl=0 pos[1]=[6.0 14.1 4.1] dr=1.26 t=0.0ps kin=1.50 pot=21.60 Rg=11.388 SPS=14576 \n", "bl=0 pos[1]=[7.5 15.8 3.5] dr=1.25 t=0.0ps kin=1.46 pot=21.60 Rg=11.359 SPS=14722 \n", "bl=0 pos[1]=[7.6 16.9 5.0] dr=1.22 t=0.0ps kin=1.45 pot=21.61 Rg=11.368 SPS=14909 \n", "bl=0 pos[1]=[8.2 17.5 4.4] dr=1.25 t=0.0ps kin=1.50 pot=21.57 Rg=11.354 SPS=14674 \n", "bl=0 pos[1]=[7.2 18.8 4.2] dr=1.28 t=0.0ps kin=1.50 pot=21.55 Rg=11.375 SPS=15420 \n", "bl=0 pos[1]=[7.5 19.5 2.7] dr=1.24 t=0.0ps kin=1.50 pot=21.58 Rg=11.387 SPS=15534 \n", "bl=0 pos[1]=[6.9 19.5 1.4] dr=1.25 t=0.0ps kin=1.47 pot=21.55 Rg=11.379 SPS=14480 \n", "bl=0 pos[1]=[5.2 19.6 1.1] dr=1.27 t=0.0ps kin=1.52 pot=21.57 Rg=11.374 SPS=15908 \n", "bl=0 pos[1]=[4.1 19.3 1.4] dr=1.29 t=0.0ps kin=1.53 pot=21.59 Rg=11.356 SPS=14851 \n", "bl=0 pos[1]=[3.2 19.6 0.6] dr=1.26 t=0.0ps kin=1.50 pot=21.61 Rg=11.374 SPS=15336 \n", "bl=0 pos[1]=[3.4 18.3 0.3] dr=1.30 t=0.0ps kin=1.52 pot=21.58 Rg=11.390 SPS=14647 \n", "bl=0 pos[1]=[2.7 17.1 0.6] dr=1.30 t=0.0ps kin=1.54 pot=21.63 Rg=11.451 SPS=14328 \n", "bl=0 pos[1]=[2.8 16.7 -0.6] dr=1.26 t=0.0ps kin=1.49 pot=21.63 Rg=11.474 SPS=14921 \n", "bl=0 pos[1]=[1.6 17.1 -0.7] dr=1.23 t=0.0ps kin=1.52 pot=21.63 Rg=11.430 SPS=14421 \n", "bl=0 pos[1]=[3.9 16.0 -1.8] dr=1.28 t=0.0ps kin=1.51 pot=21.61 Rg=11.425 SPS=15171 \n", "bl=0 pos[1]=[2.9 17.4 -1.0] dr=1.25 t=0.0ps kin=1.50 pot=21.62 Rg=11.427 SPS=15637 \n", "bl=0 pos[1]=[2.4 17.3 -1.5] dr=1.26 t=0.0ps kin=1.54 pot=21.57 Rg=11.437 SPS=14576 \n", "bl=0 pos[1]=[2.1 16.8 -0.6] dr=1.30 t=0.0ps kin=1.52 pot=21.60 Rg=11.467 SPS=15411 \n", "bl=0 pos[1]=[2.9 16.8 -1.2] dr=1.26 t=0.0ps kin=1.48 pot=21.60 Rg=11.527 SPS=14686 \n", "bl=0 pos[1]=[4.4 16.7 -0.8] dr=1.26 t=0.0ps kin=1.48 pot=21.60 Rg=11.520 SPS=15479 \n", "bl=0 pos[1]=[6.1 15.3 0.4] dr=1.26 t=0.0ps kin=1.46 pot=21.55 Rg=11.467 SPS=14861 \n", "bl=0 pos[1]=[5.7 15.8 -0.2] dr=1.24 t=0.0ps kin=1.56 pot=21.54 Rg=11.455 SPS=13809 \n", "bl=0 pos[1]=[6.5 15.2 -1.1] dr=1.27 t=0.0ps kin=1.49 pot=21.58 Rg=11.511 SPS=15363 \n", "bl=0 pos[1]=[6.9 14.0 -1.2] dr=1.22 t=0.0ps kin=1.49 pot=21.61 Rg=11.543 SPS=14826 \n", "bl=0 pos[1]=[8.5 11.7 -2.7] dr=1.25 t=0.0ps kin=1.53 pot=21.62 Rg=11.552 SPS=15360 \n", "bl=0 pos[1]=[8.3 10.4 -2.8] dr=1.27 t=0.0ps kin=1.54 pot=21.56 Rg=11.548 SPS=15171 \n", "bl=0 pos[1]=[7.9 10.4 -4.1] dr=1.26 t=0.0ps kin=1.52 pot=21.58 Rg=11.512 SPS=14282 \n", "bl=0 pos[1]=[9.7 10.1 -4.3] dr=1.26 t=0.0ps kin=1.55 pot=21.60 Rg=11.494 SPS=15022 \n", "bl=0 pos[1]=[9.0 11.2 -5.0] dr=1.25 t=0.0ps kin=1.50 pot=21.61 Rg=11.499 SPS=14180 \n", "bl=0 pos[1]=[9.4 12.3 -5.1] dr=1.24 t=0.0ps kin=1.49 pot=21.58 Rg=11.561 SPS=14573 \n", "bl=0 pos[1]=[9.0 14.0 -4.2] dr=1.24 t=0.0ps kin=1.51 pot=21.61 Rg=11.578 SPS=14898 \n", "bl=0 pos[1]=[10.6 13.2 -2.2] dr=1.27 t=0.0ps kin=1.52 pot=21.64 Rg=11.520 SPS=14854 \n", "bl=0 pos[1]=[7.4 12.1 -0.8] dr=1.23 t=0.0ps kin=1.47 pot=21.61 Rg=11.465 SPS=15288 \n", "bl=0 pos[1]=[5.5 10.9 -1.2] dr=1.27 t=0.0ps kin=1.54 pot=21.58 Rg=11.408 SPS=14207 \n", "bl=0 pos[1]=[6.3 12.0 -1.1] dr=1.26 t=0.0ps kin=1.48 pot=21.61 Rg=11.358 SPS=13869 \n", "bl=0 pos[1]=[5.6 11.3 -1.3] dr=1.27 t=0.0ps kin=1.51 pot=21.60 Rg=11.285 SPS=14367 \n", "bl=0 pos[1]=[4.9 10.9 -0.8] dr=1.25 t=0.0ps kin=1.46 pot=21.62 Rg=11.221 SPS=15048 \n", "bl=0 pos[1]=[5.2 12.7 0.2] dr=1.27 t=0.0ps kin=1.58 pot=21.57 Rg=11.192 SPS=15402 \n", "bl=0 pos[1]=[4.9 14.6 -0.0] dr=1.26 t=0.0ps kin=1.55 pot=21.58 Rg=11.166 SPS=14803 \n", "bl=0 pos[1]=[3.5 16.9 -0.7] dr=1.30 t=0.0ps kin=1.52 pot=21.61 Rg=11.177 SPS=15296 \n", "bl=0 pos[1]=[2.2 17.7 -1.0] dr=1.27 t=0.0ps kin=1.54 pot=21.62 Rg=11.206 SPS=14397 \n", "bl=0 pos[1]=[2.2 18.0 -0.8] dr=1.23 t=0.0ps kin=1.53 pot=21.57 Rg=11.229 SPS=14957 \n", "bl=0 pos[1]=[1.8 17.2 -1.6] dr=1.23 t=0.0ps kin=1.50 pot=21.60 Rg=11.248 SPS=15029 \n", "bl=0 pos[1]=[2.2 16.2 -1.8] dr=1.23 t=0.0ps kin=1.47 pot=21.61 Rg=11.246 SPS=14561 \n", "bl=0 pos[1]=[1.9 15.1 -3.0] dr=1.24 t=0.0ps kin=1.47 pot=21.58 Rg=11.278 SPS=14217 \n", "bl=0 pos[1]=[2.1 16.6 -3.9] dr=1.23 t=0.0ps kin=1.52 pot=21.57 Rg=11.280 SPS=14562 \n", "bl=0 pos[1]=[4.4 17.7 -4.0] dr=1.29 t=0.0ps kin=1.54 pot=21.57 Rg=11.298 SPS=15042 \n", "bl=0 pos[1]=[3.8 16.1 -2.8] dr=1.29 t=0.0ps kin=1.48 pot=21.59 Rg=11.335 SPS=15223 \n", "bl=0 pos[1]=[4.2 16.1 -3.2] dr=1.24 t=0.0ps kin=1.45 pot=21.54 Rg=11.359 SPS=14188 \n", "bl=0 pos[1]=[3.1 14.6 -2.2] dr=1.29 t=0.0ps kin=1.52 pot=21.53 Rg=11.327 SPS=14593 \n", "bl=0 pos[1]=[1.1 14.7 -2.6] dr=1.26 t=0.0ps kin=1.52 pot=21.58 Rg=11.278 SPS=13957 \n", "bl=0 pos[1]=[-0.1 15.0 -4.5] dr=1.28 t=0.0ps kin=1.57 pot=21.53 Rg=11.318 SPS=14739 \n", "bl=0 pos[1]=[1.2 13.7 -6.3] dr=1.29 t=0.0ps kin=1.52 pot=21.57 Rg=11.369 SPS=14175 \n", "bl=0 pos[1]=[4.1 14.1 -6.2] dr=1.26 t=0.0ps kin=1.51 pot=21.55 Rg=11.403 SPS=15117 \n", "bl=0 pos[1]=[5.4 12.8 -6.0] dr=1.24 t=0.0ps kin=1.45 pot=21.57 Rg=11.451 SPS=14449 \n", "bl=0 pos[1]=[6.5 12.4 -7.1] dr=1.26 t=0.0ps kin=1.50 pot=21.51 Rg=11.451 SPS=14637 \n", "bl=0 pos[1]=[5.2 14.5 -7.4] dr=1.30 t=0.0ps kin=1.48 pot=21.57 Rg=11.448 SPS=15339 \n", "bl=0 pos[1]=[4.1 14.8 -6.0] dr=1.29 t=0.0ps kin=1.50 pot=21.54 Rg=11.420 SPS=14371 \n", "bl=0 pos[1]=[4.9 14.2 -5.1] dr=1.28 t=0.0ps kin=1.52 pot=21.58 Rg=11.393 SPS=14675 \n", "bl=0 pos[1]=[4.7 13.0 -5.1] dr=1.27 t=0.0ps kin=1.48 pot=21.62 Rg=11.342 SPS=13986 \n", "bl=0 pos[1]=[3.8 13.2 -6.4] dr=1.27 t=0.0ps kin=1.49 pot=21.56 Rg=11.343 SPS=14722 \n", "bl=0 pos[1]=[4.1 14.0 -7.0] dr=1.26 t=0.0ps kin=1.52 pot=21.59 Rg=11.372 SPS=13439 \n", "bl=0 pos[1]=[3.7 12.9 -8.8] dr=1.24 t=0.0ps kin=1.46 pot=21.56 Rg=11.389 SPS=14546 \n", "bl=0 pos[1]=[4.1 12.0 -9.3] dr=1.23 t=0.0ps kin=1.48 pot=21.58 Rg=11.372 SPS=13843 \n", "bl=0 pos[1]=[4.6 12.2 -8.9] dr=1.25 t=0.0ps kin=1.46 pot=21.62 Rg=11.355 SPS=15084 \n", "bl=0 pos[1]=[4.0 13.2 -7.9] dr=1.23 t=0.0ps kin=1.53 pot=21.59 Rg=11.432 SPS=15213 \n", "bl=0 pos[1]=[2.7 11.9 -7.9] dr=1.26 t=0.0ps kin=1.54 pot=21.55 Rg=11.481 SPS=14578 \n", "bl=0 pos[1]=[0.7 9.9 -6.6] dr=1.25 t=0.0ps kin=1.45 pot=21.55 Rg=11.528 SPS=15128 \n", "bl=0 pos[1]=[0.4 11.7 -9.3] dr=1.22 t=0.0ps kin=1.43 pot=21.56 Rg=11.512 SPS=14552 \n", "bl=0 pos[1]=[1.0 12.7 -10.3] dr=1.22 t=0.0ps kin=1.45 pot=21.58 Rg=11.487 SPS=15391 \n", "bl=0 pos[1]=[3.0 13.3 -9.1] dr=1.23 t=0.0ps kin=1.47 pot=21.63 Rg=11.491 SPS=15838 \n", "bl=0 pos[1]=[4.4 14.5 -7.6] dr=1.25 t=0.0ps kin=1.51 pot=21.59 Rg=11.486 SPS=14833 \n", "bl=0 pos[1]=[3.8 13.0 -8.4] dr=1.27 t=0.0ps kin=1.50 pot=21.57 Rg=11.471 SPS=14912 \n", "bl=0 pos[1]=[4.1 11.2 -10.1] dr=1.26 t=0.0ps kin=1.48 pot=21.63 Rg=11.423 SPS=13591 \n", "bl=0 pos[1]=[4.0 10.7 -11.3] dr=1.24 t=0.0ps kin=1.47 pot=21.60 Rg=11.428 SPS=14599 \n", "bl=0 pos[1]=[2.7 10.2 -11.8] dr=1.25 t=0.0ps kin=1.49 pot=21.59 Rg=11.416 SPS=15032 \n", "bl=0 pos[1]=[0.7 9.5 -11.9] dr=1.27 t=0.0ps kin=1.54 pot=21.64 Rg=11.419 SPS=14903 \n", "bl=0 pos[1]=[0.7 9.0 -10.7] dr=1.22 t=0.0ps kin=1.48 pot=21.63 Rg=11.432 SPS=15718 \n", "bl=0 pos[1]=[2.2 8.4 -10.2] dr=1.21 t=0.0ps kin=1.53 pot=21.61 Rg=11.457 SPS=15631 \n", "bl=0 pos[1]=[1.8 8.6 -8.8] dr=1.22 t=0.0ps kin=1.49 pot=21.59 Rg=11.491 SPS=15106 \n", "bl=0 pos[1]=[1.1 10.6 -8.8] dr=1.28 t=0.0ps kin=1.51 pot=21.57 Rg=11.516 SPS=15416 \n", "bl=0 pos[1]=[2.0 9.9 -8.2] dr=1.29 t=0.0ps kin=1.51 pot=21.59 Rg=11.515 SPS=14927 \n", "bl=0 pos[1]=[2.5 10.1 -8.0] dr=1.29 t=0.0ps kin=1.52 pot=21.57 Rg=11.513 SPS=15332 \n", "bl=0 pos[1]=[4.4 10.6 -6.9] dr=1.27 t=0.0ps kin=1.51 pot=21.59 Rg=11.522 SPS=15445 \n", "bl=0 pos[1]=[6.9 12.0 -7.3] dr=1.27 t=0.0ps kin=1.48 pot=21.61 Rg=11.553 SPS=14794 \n", "bl=0 pos[1]=[6.1 12.5 -7.3] dr=1.21 t=0.0ps kin=1.48 pot=21.63 Rg=11.570 SPS=15371 \n", "bl=0 pos[1]=[5.9 11.9 -5.9] dr=1.24 t=0.0ps kin=1.48 pot=21.59 Rg=11.572 SPS=15672 \n", "bl=0 pos[1]=[5.7 14.1 -4.6] dr=1.22 t=0.0ps kin=1.51 pot=21.59 Rg=11.555 SPS=14351 \n", "bl=0 pos[1]=[5.0 13.0 -5.4] dr=1.28 t=0.0ps kin=1.53 pot=21.59 Rg=11.530 SPS=14981 \n", "bl=0 pos[1]=[5.6 10.7 -5.3] dr=1.29 t=0.0ps kin=1.54 pot=21.57 Rg=11.488 SPS=11741 \n", "bl=0 pos[1]=[6.0 9.3 -3.7] dr=1.26 t=0.0ps kin=1.51 pot=21.60 Rg=11.435 SPS=15038 \n", "bl=0 pos[1]=[5.1 10.3 -3.5] dr=1.27 t=0.0ps kin=1.60 pot=21.61 Rg=11.431 SPS=12183 \n", "bl=0 pos[1]=[4.1 11.3 -3.9] dr=1.28 t=0.0ps kin=1.54 pot=21.63 Rg=11.376 SPS=13150 \n", "bl=0 pos[1]=[3.6 11.9 -3.7] dr=1.29 t=0.0ps kin=1.56 pot=21.58 Rg=11.259 SPS=14974 \n", "bl=0 pos[1]=[3.8 13.1 -3.9] dr=1.28 t=0.0ps kin=1.53 pot=21.58 Rg=11.116 SPS=15216 \n", "bl=0 pos[1]=[4.2 13.0 -2.3] dr=1.29 t=0.0ps kin=1.51 pot=21.63 Rg=11.020 SPS=13723 \n", "bl=0 pos[1]=[4.6 14.1 -2.5] dr=1.26 t=0.0ps kin=1.56 pot=21.57 Rg=11.033 SPS=14242 \n", "bl=0 pos[1]=[4.0 12.8 -3.6] dr=1.26 t=0.0ps kin=1.51 pot=21.58 Rg=11.030 SPS=14244 \n", "bl=0 pos[1]=[4.5 10.3 -2.5] dr=1.27 t=0.0ps kin=1.48 pot=21.61 Rg=11.017 SPS=14515 \n", "bl=0 pos[1]=[4.4 10.5 -2.6] dr=1.26 t=0.0ps kin=1.50 pot=21.55 Rg=11.017 SPS=13881 \n", "bl=0 pos[1]=[4.5 10.4 -3.4] dr=1.25 t=0.0ps kin=1.49 pot=21.56 Rg=11.006 SPS=14760 \n", "bl=0 pos[1]=[5.1 11.8 -2.7] dr=1.25 t=0.0ps kin=1.49 pot=21.54 Rg=11.022 SPS=13977 \n", "bl=0 pos[1]=[4.8 9.6 -0.7] dr=1.26 t=0.0ps kin=1.50 pot=21.57 Rg=11.030 SPS=14837 \n", "bl=0 pos[1]=[5.5 8.9 -1.1] dr=1.26 t=0.0ps kin=1.47 pot=21.58 Rg=11.040 SPS=15141 \n", "bl=0 pos[1]=[6.1 9.1 -1.4] dr=1.24 t=0.0ps kin=1.52 pot=21.59 Rg=11.071 SPS=15265 \n", "bl=0 pos[1]=[6.1 10.7 -0.7] dr=1.22 t=0.0ps kin=1.49 pot=21.60 Rg=11.084 SPS=15123 \n", "bl=0 pos[1]=[6.4 10.7 -0.7] dr=1.22 t=0.0ps kin=1.44 pot=21.60 Rg=11.095 SPS=13893 \n", "bl=0 pos[1]=[6.6 10.5 -2.1] dr=1.25 t=0.0ps kin=1.45 pot=21.55 Rg=11.096 SPS=15398 \n", "bl=0 pos[1]=[6.3 10.2 -2.1] dr=1.22 t=0.0ps kin=1.48 pot=21.54 Rg=11.052 SPS=13781 \n", "bl=0 pos[1]=[6.7 10.0 -4.4] dr=1.23 t=0.0ps kin=1.47 pot=21.54 Rg=11.002 SPS=14235 \n", "bl=0 pos[1]=[7.8 12.6 -6.7] dr=1.27 t=0.0ps kin=1.44 pot=21.60 Rg=10.955 SPS=14924 \n", "bl=0 pos[1]=[5.8 13.1 -8.5] dr=1.29 t=0.0ps kin=1.52 pot=21.54 Rg=10.917 SPS=13963 \n", "bl=0 pos[1]=[5.4 13.7 -10.1] dr=1.29 t=0.0ps kin=1.52 pot=21.61 Rg=10.894 SPS=14865 \n", "bl=0 pos[1]=[6.0 14.3 -10.6] dr=1.29 t=0.0ps kin=1.50 pot=21.57 Rg=10.919 SPS=13846 \n", "bl=0 pos[1]=[5.9 14.7 -9.9] dr=1.25 t=0.0ps kin=1.48 pot=21.56 Rg=10.967 SPS=14738 \n", "bl=0 pos[1]=[6.2 13.8 -7.8] dr=1.24 t=0.0ps kin=1.41 pot=21.61 Rg=11.023 SPS=13638 \n", "bl=0 pos[1]=[7.0 12.0 -6.9] dr=1.26 t=0.0ps kin=1.44 pot=21.56 Rg=11.072 SPS=14812 \n", "bl=0 pos[1]=[7.1 12.3 -5.7] dr=1.25 t=0.0ps kin=1.43 pot=21.60 Rg=11.114 SPS=14703 \n", "bl=0 pos[1]=[7.0 11.3 -5.6] dr=1.27 t=0.0ps kin=1.53 pot=21.59 Rg=11.139 SPS=14840 \n", "bl=0 pos[1]=[7.4 9.8 -4.6] dr=1.26 t=0.0ps kin=1.47 pot=21.58 Rg=11.152 SPS=15275 \n", "bl=0 pos[1]=[7.5 9.9 -4.6] dr=1.25 t=0.0ps kin=1.52 pot=21.56 Rg=11.200 SPS=13919 \n", "bl=0 pos[1]=[7.9 10.2 -4.9] dr=1.24 t=0.0ps kin=1.44 pot=21.60 Rg=11.313 SPS=15044 \n", "bl=0 pos[1]=[8.0 10.5 -4.8] dr=1.26 t=0.0ps kin=1.51 pot=21.58 Rg=11.413 SPS=13203 \n", "bl=0 pos[1]=[8.0 12.0 -5.3] dr=1.29 t=0.0ps kin=1.51 pot=21.61 Rg=11.497 SPS=15229 \n", "bl=0 pos[1]=[7.2 14.6 -5.3] dr=1.26 t=0.0ps kin=1.54 pot=21.56 Rg=11.532 SPS=14474 \n", "bl=0 pos[1]=[6.0 17.7 -6.2] dr=1.30 t=0.0ps kin=1.48 pot=21.60 Rg=11.544 SPS=15012 \n", "bl=0 pos[1]=[4.0 18.3 -5.8] dr=1.28 t=0.0ps kin=1.48 pot=21.57 Rg=11.538 SPS=15584 \n", "bl=0 pos[1]=[2.3 18.0 -5.8] dr=1.27 t=0.0ps kin=1.49 pot=21.54 Rg=11.532 SPS=14679 \n", "bl=0 pos[1]=[2.6 16.8 -4.1] dr=1.25 t=0.0ps kin=1.47 pot=21.57 Rg=11.500 SPS=15210 \n", "bl=0 pos[1]=[4.0 18.6 -3.1] dr=1.24 t=0.0ps kin=1.51 pot=21.52 Rg=11.475 SPS=14006 \n", "bl=0 pos[1]=[4.8 20.2 -0.8] dr=1.28 t=0.0ps kin=1.52 pot=21.55 Rg=11.460 SPS=15301 \n", "bl=0 pos[1]=[4.2 19.7 -0.2] dr=1.25 t=0.0ps kin=1.49 pot=21.55 Rg=11.446 SPS=15187 \n", "bl=0 pos[1]=[3.9 19.0 0.1] dr=1.24 t=0.0ps kin=1.49 pot=21.60 Rg=11.412 SPS=14216 \n", "bl=0 pos[1]=[3.9 16.6 1.6] dr=1.25 t=0.0ps kin=1.52 pot=21.59 Rg=11.403 SPS=14868 \n", "bl=0 pos[1]=[2.4 16.5 1.7] dr=1.24 t=0.0ps kin=1.54 pot=21.58 Rg=11.404 SPS=14819 \n", "bl=0 pos[1]=[1.1 16.2 1.8] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.413 SPS=15821 \n", "bl=0 pos[1]=[0.8 16.2 0.3] dr=1.20 t=0.0ps kin=1.46 pot=21.63 Rg=11.405 SPS=15954 \n", "bl=0 pos[1]=[1.8 15.3 -0.2] dr=1.24 t=0.0ps kin=1.48 pot=21.61 Rg=11.387 SPS=14595 \n", "bl=0 pos[1]=[2.8 15.4 1.1] dr=1.22 t=0.0ps kin=1.42 pot=21.59 Rg=11.380 SPS=14904 \n", "bl=0 pos[1]=[5.2 14.5 0.8] dr=1.22 t=0.0ps kin=1.43 pot=21.56 Rg=11.348 SPS=14873 \n", "bl=0 pos[1]=[6.4 15.2 0.6] dr=1.25 t=0.0ps kin=1.46 pot=21.56 Rg=11.305 SPS=15001 \n", "bl=0 pos[1]=[5.9 15.4 1.5] dr=1.27 t=0.0ps kin=1.45 pot=21.61 Rg=11.284 SPS=14970 \n", "bl=0 pos[1]=[5.4 15.1 1.9] dr=1.25 t=0.0ps kin=1.47 pot=21.60 Rg=11.226 SPS=14288 \n", "bl=0 pos[1]=[4.1 14.8 3.0] dr=1.23 t=0.0ps kin=1.47 pot=21.60 Rg=11.239 SPS=14838 \n", "bl=0 pos[1]=[3.4 14.4 3.6] dr=1.22 t=0.0ps kin=1.52 pot=21.54 Rg=11.308 SPS=15626 \n", "bl=0 pos[1]=[2.8 14.5 2.6] dr=1.22 t=0.0ps kin=1.49 pot=21.56 Rg=11.373 SPS=13935 \n", "bl=0 pos[1]=[3.9 16.7 2.9] dr=1.23 t=0.0ps kin=1.51 pot=21.57 Rg=11.393 SPS=14753 \n", "bl=0 pos[1]=[4.5 17.1 1.1] dr=1.22 t=0.0ps kin=1.49 pot=21.61 Rg=11.420 SPS=13444 \n", "bl=0 pos[1]=[3.6 16.2 1.7] dr=1.27 t=0.0ps kin=1.49 pot=21.59 Rg=11.492 SPS=15691 \n", "bl=0 pos[1]=[3.9 16.6 1.6] dr=1.27 t=0.0ps kin=1.54 pot=21.55 Rg=11.569 SPS=14227 \n", "bl=0 pos[1]=[4.9 16.1 2.8] dr=1.24 t=0.0ps kin=1.45 pot=21.60 Rg=11.610 SPS=14708 \n", "bl=0 pos[1]=[4.2 17.8 2.2] dr=1.26 t=0.0ps kin=1.45 pot=21.63 Rg=11.638 SPS=14888 \n", "bl=0 pos[1]=[4.2 18.6 2.4] dr=1.25 t=0.0ps kin=1.50 pot=21.56 Rg=11.664 SPS=13730 \n", "bl=0 pos[1]=[2.7 18.2 2.4] dr=1.23 t=0.0ps kin=1.44 pot=21.62 Rg=11.688 SPS=14603 \n", "bl=0 pos[1]=[0.8 18.2 2.3] dr=1.25 t=0.0ps kin=1.49 pot=21.57 Rg=11.689 SPS=14354 \n", "bl=0 pos[1]=[0.6 17.3 2.3] dr=1.27 t=0.0ps kin=1.49 pot=21.59 Rg=11.690 SPS=15746 \n", "bl=0 pos[1]=[-0.7 15.7 2.4] dr=1.27 t=0.0ps kin=1.49 pot=21.59 Rg=11.687 SPS=14272 \n", "bl=0 pos[1]=[-0.4 15.2 1.7] dr=1.25 t=0.0ps kin=1.55 pot=21.60 Rg=11.682 SPS=15147 \n", "bl=0 pos[1]=[0.8 15.5 1.2] dr=1.25 t=0.0ps kin=1.50 pot=21.63 Rg=11.688 SPS=15091 \n", "bl=0 pos[1]=[1.6 14.4 0.9] dr=1.23 t=0.0ps kin=1.45 pot=21.59 Rg=11.709 SPS=14505 \n", "bl=0 pos[1]=[0.4 16.6 0.2] dr=1.24 t=0.0ps kin=1.51 pot=21.57 Rg=11.750 SPS=14911 \n", "bl=0 pos[1]=[0.2 17.9 -0.7] dr=1.25 t=0.0ps kin=1.48 pot=21.58 Rg=11.736 SPS=13680 \n", "bl=0 pos[1]=[-1.1 17.6 -0.7] dr=1.25 t=0.0ps kin=1.51 pot=21.58 Rg=11.694 SPS=14813 \n", "bl=0 pos[1]=[1.7 16.4 0.2] dr=1.27 t=0.0ps kin=1.55 pot=21.57 Rg=11.654 SPS=14507 \n", "bl=0 pos[1]=[2.7 14.1 1.7] dr=1.30 t=0.0ps kin=1.48 pot=21.60 Rg=11.636 SPS=15112 \n", "bl=0 pos[1]=[3.2 13.7 1.6] dr=1.27 t=0.0ps kin=1.52 pot=21.60 Rg=11.583 SPS=15066 \n", "bl=0 pos[1]=[3.4 14.1 3.0] dr=1.29 t=0.0ps kin=1.52 pot=21.58 Rg=11.501 SPS=14712 \n", "bl=0 pos[1]=[2.8 14.1 2.5] dr=1.27 t=0.0ps kin=1.49 pot=21.60 Rg=11.393 SPS=14858 \n", "bl=0 pos[1]=[3.4 13.8 2.7] dr=1.28 t=0.0ps kin=1.46 pot=21.62 Rg=11.295 SPS=14184 \n", "bl=0 pos[1]=[4.5 13.4 1.8] dr=1.28 t=0.0ps kin=1.49 pot=21.61 Rg=11.212 SPS=15126 \n", "bl=0 pos[1]=[4.7 12.4 2.5] dr=1.29 t=0.0ps kin=1.54 pot=21.63 Rg=11.160 SPS=14904 \n", "bl=0 pos[1]=[5.3 12.4 4.7] dr=1.29 t=0.0ps kin=1.57 pot=21.61 Rg=11.158 SPS=14567 \n", "bl=0 pos[1]=[5.0 12.2 5.1] dr=1.27 t=0.0ps kin=1.51 pot=21.59 Rg=11.132 SPS=14287 \n", "bl=0 pos[1]=[3.5 12.4 4.0] dr=1.25 t=0.0ps kin=1.50 pot=21.61 Rg=11.094 SPS=14565 \n", "bl=0 pos[1]=[4.1 11.2 4.1] dr=1.27 t=0.0ps kin=1.52 pot=21.58 Rg=11.104 SPS=14916 \n", "bl=0 pos[1]=[5.1 11.0 4.2] dr=1.24 t=0.0ps kin=1.49 pot=21.60 Rg=11.150 SPS=13832 \n", "bl=0 pos[1]=[4.8 12.2 3.2] dr=1.25 t=0.0ps kin=1.56 pot=21.58 Rg=11.132 SPS=15024 \n", "bl=0 pos[1]=[4.7 13.0 3.5] dr=1.25 t=0.0ps kin=1.51 pot=21.63 Rg=11.079 SPS=14950 \n", "bl=0 pos[1]=[4.5 12.7 3.0] dr=1.25 t=0.0ps kin=1.52 pot=21.56 Rg=11.079 SPS=15128 \n", "bl=0 pos[1]=[4.3 12.4 1.8] dr=1.25 t=0.0ps kin=1.54 pot=21.58 Rg=11.084 SPS=14920 \n", "bl=0 pos[1]=[4.4 12.1 2.4] dr=1.25 t=0.0ps kin=1.51 pot=21.59 Rg=11.029 SPS=14472 \n", "bl=0 pos[1]=[5.1 11.9 3.3] dr=1.23 t=0.0ps kin=1.47 pot=21.61 Rg=11.022 SPS=15143 \n", "bl=0 pos[1]=[5.4 10.7 2.8] dr=1.23 t=0.0ps kin=1.51 pot=21.56 Rg=11.074 SPS=12343 \n", "bl=0 pos[1]=[5.8 11.1 1.6] dr=1.25 t=0.0ps kin=1.49 pot=21.56 Rg=11.119 SPS=14593 \n", "bl=0 pos[1]=[6.7 10.7 1.3] dr=1.26 t=0.0ps kin=1.54 pot=21.57 Rg=11.147 SPS=14153 \n", "bl=0 pos[1]=[5.8 11.1 1.3] dr=1.28 t=0.0ps kin=1.48 pot=21.58 Rg=11.147 SPS=14381 \n", "bl=0 pos[1]=[6.0 12.0 0.3] dr=1.27 t=0.0ps kin=1.50 pot=21.55 Rg=11.190 SPS=15121 \n", "bl=0 pos[1]=[6.8 13.3 -0.6] dr=1.25 t=0.0ps kin=1.50 pot=21.54 Rg=11.264 SPS=14265 \n", "bl=0 pos[1]=[6.6 15.5 -1.2] dr=1.30 t=0.0ps kin=1.48 pot=21.59 Rg=11.285 SPS=14862 \n", "bl=0 pos[1]=[5.2 16.3 -1.1] dr=1.28 t=0.0ps kin=1.46 pot=21.58 Rg=11.314 SPS=14936 \n", "bl=0 pos[1]=[4.4 16.6 -0.2] dr=1.27 t=0.0ps kin=1.48 pot=21.61 Rg=11.346 SPS=15462 \n", "bl=0 pos[1]=[3.6 15.7 -1.3] dr=1.25 t=0.0ps kin=1.55 pot=21.59 Rg=11.394 SPS=14998 \n", "bl=0 pos[1]=[4.4 14.2 -3.1] dr=1.24 t=0.0ps kin=1.53 pot=21.61 Rg=11.385 SPS=14996 \n", "bl=0 pos[1]=[4.1 14.5 -3.8] dr=1.25 t=0.0ps kin=1.52 pot=21.63 Rg=11.348 SPS=14541 \n", "bl=0 pos[1]=[5.3 15.4 -3.1] dr=1.24 t=0.0ps kin=1.49 pot=21.58 Rg=11.309 SPS=13760 \n", "bl=0 pos[1]=[3.4 16.3 -3.2] dr=1.23 t=0.0ps kin=1.46 pot=21.59 Rg=11.273 SPS=14258 \n", "bl=0 pos[1]=[4.1 15.2 -4.6] dr=1.23 t=0.0ps kin=1.49 pot=21.58 Rg=11.240 SPS=13516 \n", "bl=0 pos[1]=[3.7 12.6 -4.3] dr=1.21 t=0.0ps kin=1.46 pot=21.56 Rg=11.167 SPS=14826 \n", "bl=0 pos[1]=[1.8 12.1 -3.3] dr=1.24 t=0.0ps kin=1.49 pot=21.55 Rg=11.140 SPS=13501 \n", "bl=0 pos[1]=[1.6 13.5 -3.2] dr=1.24 t=0.0ps kin=1.50 pot=21.54 Rg=11.133 SPS=14859 \n", "bl=0 pos[1]=[2.0 14.5 -2.4] dr=1.24 t=0.0ps kin=1.50 pot=21.58 Rg=11.132 SPS=14580 \n", "bl=0 pos[1]=[2.4 15.4 -2.2] dr=1.24 t=0.0ps kin=1.56 pot=21.58 Rg=11.124 SPS=15186 \n", "bl=0 pos[1]=[1.0 14.7 -2.6] dr=1.26 t=0.0ps kin=1.49 pot=21.61 Rg=11.122 SPS=14980 \n", "bl=0 pos[1]=[1.4 14.8 -5.0] dr=1.28 t=0.0ps kin=1.45 pot=21.58 Rg=11.073 SPS=14327 \n", "bl=0 pos[1]=[1.2 16.0 -5.2] dr=1.23 t=0.0ps kin=1.45 pot=21.58 Rg=11.072 SPS=15121 \n", "bl=0 pos[1]=[2.4 16.5 -5.4] dr=1.27 t=0.0ps kin=1.51 pot=21.53 Rg=11.111 SPS=14535 \n", "bl=0 pos[1]=[4.1 15.5 -6.5] dr=1.25 t=0.0ps kin=1.47 pot=21.57 Rg=11.136 SPS=14729 \n", "bl=0 pos[1]=[5.2 13.6 -6.5] dr=1.24 t=0.0ps kin=1.48 pot=21.57 Rg=11.180 SPS=14774 \n", "bl=0 pos[1]=[5.1 13.5 -3.6] dr=1.25 t=0.0ps kin=1.49 pot=21.58 Rg=11.204 SPS=14328 \n", "bl=0 pos[1]=[4.6 13.9 -3.2] dr=1.26 t=0.0ps kin=1.53 pot=21.60 Rg=11.242 SPS=14581 \n", "bl=0 pos[1]=[4.6 13.9 -4.8] dr=1.28 t=0.0ps kin=1.57 pot=21.64 Rg=11.317 SPS=14719 \n", "bl=0 pos[1]=[5.7 13.9 -6.5] dr=1.25 t=0.0ps kin=1.50 pot=21.61 Rg=11.424 SPS=15486 \n", "bl=0 pos[1]=[4.0 13.2 -5.1] dr=1.26 t=0.0ps kin=1.49 pot=21.63 Rg=11.441 SPS=15547 \n", "bl=0 pos[1]=[3.5 14.1 -4.4] dr=1.27 t=0.0ps kin=1.51 pot=21.61 Rg=11.467 SPS=14295 \n", "bl=0 pos[1]=[2.5 15.2 -5.5] dr=1.24 t=0.0ps kin=1.49 pot=21.62 Rg=11.504 SPS=15586 \n", "bl=0 pos[1]=[3.5 15.9 -5.6] dr=1.25 t=0.0ps kin=1.54 pot=21.58 Rg=11.545 SPS=14878 \n", "bl=0 pos[1]=[4.0 16.3 -5.0] dr=1.29 t=0.0ps kin=1.53 pot=21.57 Rg=11.630 SPS=12155 \n", "bl=0 pos[1]=[4.3 14.7 -5.9] dr=1.31 t=0.0ps kin=1.53 pot=21.58 Rg=11.642 SPS=14441 \n", "bl=0 pos[1]=[4.5 13.4 -6.3] dr=1.26 t=0.0ps kin=1.53 pot=21.58 Rg=11.608 SPS=15325 \n", "bl=0 pos[1]=[5.0 12.1 -8.3] dr=1.31 t=0.0ps kin=1.56 pot=21.59 Rg=11.611 SPS=15282 \n", "bl=0 pos[1]=[3.4 13.4 -10.5] dr=1.27 t=0.0ps kin=1.54 pot=21.59 Rg=11.626 SPS=14968 \n", "bl=0 pos[1]=[4.7 14.7 -10.7] dr=1.24 t=0.0ps kin=1.42 pot=21.61 Rg=11.628 SPS=15159 \n", "bl=0 pos[1]=[6.6 14.4 -10.9] dr=1.19 t=0.0ps kin=1.46 pot=21.58 Rg=11.609 SPS=13759 \n", "bl=0 pos[1]=[6.9 12.5 -9.9] dr=1.23 t=0.0ps kin=1.47 pot=21.55 Rg=11.616 SPS=15099 \n", "bl=0 pos[1]=[7.6 11.8 -10.4] dr=1.27 t=0.0ps kin=1.46 pot=21.61 Rg=11.640 SPS=16083 \n", "bl=0 pos[1]=[8.6 9.9 -11.4] dr=1.28 t=0.0ps kin=1.54 pot=21.56 Rg=11.650 SPS=14773 \n", "bl=0 pos[1]=[9.5 8.6 -10.5] dr=1.27 t=0.0ps kin=1.52 pot=21.66 Rg=11.604 SPS=15338 \n", "bl=0 pos[1]=[8.7 8.5 -8.9] dr=1.27 t=0.0ps kin=1.55 pot=21.65 Rg=11.590 SPS=14406 \n", "bl=0 pos[1]=[11.4 8.8 -8.4] dr=1.27 t=0.0ps kin=1.53 pot=21.63 Rg=11.566 SPS=15060 \n", "bl=0 pos[1]=[12.2 9.2 -10.3] dr=1.27 t=0.0ps kin=1.53 pot=21.63 Rg=11.558 SPS=14607 \n", "bl=0 pos[1]=[12.1 9.5 -12.0] dr=1.27 t=0.0ps kin=1.52 pot=21.68 Rg=11.550 SPS=14066 \n", "bl=0 pos[1]=[12.5 8.4 -11.7] dr=1.27 t=0.0ps kin=1.50 pot=21.65 Rg=11.574 SPS=15142 \n", "bl=0 pos[1]=[11.5 8.5 -10.8] dr=1.22 t=0.0ps kin=1.50 pot=21.63 Rg=11.593 SPS=14627 \n", "bl=0 pos[1]=[10.6 8.9 -8.6] dr=1.26 t=0.0ps kin=1.53 pot=21.60 Rg=11.580 SPS=14580 \n", "bl=0 pos[1]=[11.0 8.8 -6.8] dr=1.26 t=0.0ps kin=1.50 pot=21.62 Rg=11.565 SPS=14483 \n", "bl=0 pos[1]=[11.0 7.9 -6.7] dr=1.27 t=0.0ps kin=1.48 pot=21.64 Rg=11.547 SPS=15337 \n", "bl=0 pos[1]=[10.8 7.2 -7.0] dr=1.24 t=0.0ps kin=1.50 pot=21.64 Rg=11.501 SPS=14749 \n", "bl=0 pos[1]=[10.7 6.6 -7.6] dr=1.28 t=0.0ps kin=1.50 pot=21.59 Rg=11.430 SPS=14549 \n", "bl=0 pos[1]=[8.7 5.6 -9.2] dr=1.27 t=0.0ps kin=1.50 pot=21.60 Rg=11.393 SPS=14934 \n", "bl=0 pos[1]=[8.5 5.7 -9.5] dr=1.29 t=0.0ps kin=1.49 pot=21.62 Rg=11.392 SPS=14225 \n", "bl=0 pos[1]=[9.7 5.2 -8.9] dr=1.26 t=0.0ps kin=1.46 pot=21.60 Rg=11.398 SPS=15503 \n", "bl=0 pos[1]=[7.9 4.5 -8.9] dr=1.27 t=0.0ps kin=1.49 pot=21.61 Rg=11.396 SPS=14900 \n", "bl=0 pos[1]=[6.0 5.5 -9.7] dr=1.25 t=0.0ps kin=1.53 pot=21.59 Rg=11.412 SPS=14630 \n", "bl=0 pos[1]=[4.8 5.6 -10.7] dr=1.26 t=0.0ps kin=1.50 pot=21.61 Rg=11.418 SPS=15524 \n", "bl=0 pos[1]=[5.4 5.0 -12.0] dr=1.27 t=0.0ps kin=1.51 pot=21.59 Rg=11.426 SPS=11907 \n", "bl=0 pos[1]=[6.8 4.3 -13.2] dr=1.28 t=0.0ps kin=1.51 pot=21.57 Rg=11.415 SPS=15206 \n", "bl=0 pos[1]=[7.1 3.8 -13.4] dr=1.29 t=0.0ps kin=1.50 pot=21.56 Rg=11.388 SPS=13823 \n", "bl=0 pos[1]=[7.5 4.5 -11.3] dr=1.25 t=0.0ps kin=1.50 pot=21.55 Rg=11.322 SPS=14900 \n", "bl=0 pos[1]=[6.7 5.7 -11.7] dr=1.26 t=0.0ps kin=1.50 pot=21.59 Rg=11.285 SPS=14703 \n", "bl=0 pos[1]=[7.2 4.2 -12.7] dr=1.27 t=0.0ps kin=1.54 pot=21.61 Rg=11.256 SPS=14417 \n", "bl=0 pos[1]=[7.6 6.0 -13.8] dr=1.27 t=0.0ps kin=1.56 pot=21.58 Rg=11.213 SPS=15203 \n", "bl=0 pos[1]=[7.0 6.6 -14.1] dr=1.26 t=0.0ps kin=1.52 pot=21.57 Rg=11.157 SPS=14053 \n", "bl=0 pos[1]=[8.3 7.4 -11.9] dr=1.29 t=0.0ps kin=1.54 pot=21.55 Rg=11.122 SPS=14993 \n", "bl=0 pos[1]=[8.5 7.1 -11.4] dr=1.28 t=0.0ps kin=1.48 pot=21.57 Rg=11.126 SPS=14203 \n", "bl=0 pos[1]=[7.8 7.1 -11.6] dr=1.28 t=0.0ps kin=1.56 pot=21.58 Rg=11.173 SPS=14913 \n", "bl=0 pos[1]=[9.5 7.1 -11.9] dr=1.29 t=0.0ps kin=1.52 pot=21.58 Rg=11.224 SPS=14177 \n", "bl=0 pos[1]=[9.6 8.1 -11.1] dr=1.23 t=0.0ps kin=1.45 pot=21.61 Rg=11.242 SPS=14714 \n", "bl=0 pos[1]=[10.5 8.2 -10.3] dr=1.25 t=0.0ps kin=1.47 pot=21.60 Rg=11.281 SPS=14948 \n", "bl=0 pos[1]=[10.0 8.4 -9.0] dr=1.24 t=0.0ps kin=1.51 pot=21.57 Rg=11.337 SPS=13961 \n", "bl=0 pos[1]=[8.4 9.3 -7.7] dr=1.22 t=0.0ps kin=1.49 pot=21.58 Rg=11.400 SPS=14744 \n", "bl=0 pos[1]=[7.8 10.0 -7.8] dr=1.22 t=0.0ps kin=1.52 pot=21.54 Rg=11.425 SPS=14162 \n", "bl=0 pos[1]=[7.3 10.8 -7.0] dr=1.24 t=0.0ps kin=1.48 pot=21.59 Rg=11.428 SPS=14925 \n", "bl=0 pos[1]=[8.4 9.1 -6.6] dr=1.26 t=0.0ps kin=1.54 pot=21.55 Rg=11.445 SPS=14424 \n", "bl=0 pos[1]=[6.5 7.4 -8.5] dr=1.27 t=0.0ps kin=1.50 pot=21.58 Rg=11.461 SPS=15230 \n", "bl=0 pos[1]=[4.3 8.0 -8.5] dr=1.25 t=0.0ps kin=1.46 pot=21.62 Rg=11.491 SPS=15375 \n", "bl=0 pos[1]=[5.0 6.4 -8.1] dr=1.23 t=0.0ps kin=1.51 pot=21.61 Rg=11.560 SPS=15371 \n", "bl=0 pos[1]=[4.4 7.2 -8.0] dr=1.24 t=0.0ps kin=1.51 pot=21.56 Rg=11.603 SPS=14887 \n", "bl=0 pos[1]=[4.3 8.2 -8.4] dr=1.26 t=0.0ps kin=1.54 pot=21.60 Rg=11.607 SPS=15105 \n", "bl=0 pos[1]=[5.7 8.7 -8.6] dr=1.24 t=0.0ps kin=1.48 pot=21.59 Rg=11.607 SPS=14981 \n", "bl=0 pos[1]=[4.2 7.0 -8.3] dr=1.24 t=0.0ps kin=1.56 pot=21.60 Rg=11.580 SPS=15146 \n", "bl=0 pos[1]=[4.4 5.3 -6.8] dr=1.30 t=0.0ps kin=1.58 pot=21.59 Rg=11.521 SPS=13328 \n", "bl=0 pos[1]=[4.6 5.1 -6.5] dr=1.28 t=0.0ps kin=1.49 pot=21.58 Rg=11.535 SPS=16195 \n", "bl=0 pos[1]=[3.6 4.8 -5.3] dr=1.25 t=0.0ps kin=1.48 pot=21.63 Rg=11.554 SPS=15638 \n", "bl=0 pos[1]=[3.4 5.6 -4.8] dr=1.24 t=0.0ps kin=1.50 pot=21.58 Rg=11.580 SPS=14816 \n", "bl=0 pos[1]=[4.4 6.1 -3.8] dr=1.24 t=0.0ps kin=1.46 pot=21.58 Rg=11.602 SPS=14917 \n", "bl=0 pos[1]=[4.4 7.4 -4.3] dr=1.26 t=0.0ps kin=1.48 pot=21.60 Rg=11.552 SPS=12700 \n", "bl=0 pos[1]=[4.2 7.8 -4.4] dr=1.21 t=0.0ps kin=1.52 pot=21.61 Rg=11.576 SPS=15436 \n", "bl=0 pos[1]=[6.2 9.8 -5.8] dr=1.25 t=0.0ps kin=1.56 pot=21.55 Rg=11.631 SPS=14398 \n", "bl=0 pos[1]=[7.2 9.8 -5.7] dr=1.29 t=0.0ps kin=1.50 pot=21.60 Rg=11.655 SPS=15138 \n", "bl=0 pos[1]=[7.8 10.7 -4.1] dr=1.28 t=0.0ps kin=1.52 pot=21.59 Rg=11.660 SPS=15052 \n", "bl=0 pos[1]=[8.6 9.2 -4.5] dr=1.29 t=0.0ps kin=1.50 pot=21.61 Rg=11.693 SPS=14961 \n", "bl=0 pos[1]=[7.2 10.2 -4.2] dr=1.28 t=0.0ps kin=1.55 pot=21.54 Rg=11.746 SPS=15520 \n", "bl=0 pos[1]=[8.0 12.6 -5.2] dr=1.29 t=0.0ps kin=1.50 pot=21.59 Rg=11.766 SPS=14401 \n", "bl=0 pos[1]=[8.2 12.9 -6.5] dr=1.24 t=0.0ps kin=1.48 pot=21.59 Rg=11.787 SPS=15644 \n", "bl=0 pos[1]=[9.7 12.9 -7.9] dr=1.20 t=0.0ps kin=1.50 pot=21.58 Rg=11.788 SPS=15606 \n", "bl=0 pos[1]=[12.1 12.0 -8.2] dr=1.23 t=0.0ps kin=1.48 pot=21.59 Rg=11.747 SPS=14639 \n", "bl=0 pos[1]=[13.4 12.0 -8.6] dr=1.20 t=0.0ps kin=1.50 pot=21.56 Rg=11.703 SPS=14765 \n", "bl=0 pos[1]=[13.7 12.2 -8.6] dr=1.22 t=0.0ps kin=1.45 pot=21.63 Rg=11.680 SPS=14261 \n", "bl=0 pos[1]=[14.6 12.7 -8.6] dr=1.22 t=0.0ps kin=1.50 pot=21.59 Rg=11.652 SPS=15184 \n", "bl=0 pos[1]=[13.0 13.0 -8.5] dr=1.24 t=0.0ps kin=1.56 pot=21.60 Rg=11.633 SPS=15003 \n", "bl=0 pos[1]=[12.3 12.3 -8.9] dr=1.25 t=0.0ps kin=1.52 pot=21.59 Rg=11.578 SPS=14386 \n", "bl=0 pos[1]=[11.0 12.9 -8.4] dr=1.26 t=0.0ps kin=1.49 pot=21.59 Rg=11.540 SPS=15033 \n", "bl=0 pos[1]=[10.1 12.9 -9.0] dr=1.23 t=0.0ps kin=1.51 pot=21.60 Rg=11.467 SPS=14169 \n", "bl=0 pos[1]=[10.8 12.3 -9.9] dr=1.29 t=0.0ps kin=1.52 pot=21.59 Rg=11.401 SPS=13994 \n", "bl=0 pos[1]=[10.8 12.1 -10.5] dr=1.29 t=0.0ps kin=1.51 pot=21.62 Rg=11.337 SPS=14157 \n", "bl=0 pos[1]=[10.3 13.5 -10.0] dr=1.26 t=0.0ps kin=1.50 pot=21.59 Rg=11.319 SPS=14781 \n", "bl=0 pos[1]=[11.9 13.7 -10.6] dr=1.24 t=0.0ps kin=1.55 pot=21.54 Rg=11.295 SPS=14839 \n", "bl=0 pos[1]=[11.4 12.6 -10.3] dr=1.26 t=0.0ps kin=1.49 pot=21.60 Rg=11.277 SPS=14477 \n", "bl=0 pos[1]=[10.3 12.8 -9.5] dr=1.26 t=0.0ps kin=1.50 pot=21.61 Rg=11.286 SPS=14677 \n", "bl=0 pos[1]=[11.8 13.1 -8.9] dr=1.28 t=0.0ps kin=1.57 pot=21.53 Rg=11.312 SPS=13968 \n", "bl=0 pos[1]=[11.2 13.8 -6.9] dr=1.27 t=0.0ps kin=1.50 pot=21.59 Rg=11.309 SPS=14679 \n", "bl=0 pos[1]=[10.9 14.4 -6.6] dr=1.26 t=0.0ps kin=1.53 pot=21.55 Rg=11.277 SPS=14271 \n", "bl=0 pos[1]=[9.6 13.4 -6.9] dr=1.26 t=0.0ps kin=1.47 pot=21.56 Rg=11.218 SPS=14968 \n", "bl=0 pos[1]=[9.0 12.7 -9.2] dr=1.27 t=0.0ps kin=1.50 pot=21.55 Rg=11.185 SPS=14328 \n", "bl=0 pos[1]=[7.5 13.7 -10.1] dr=1.26 t=0.0ps kin=1.52 pot=21.57 Rg=11.177 SPS=12810 \n", "bl=0 pos[1]=[4.7 14.9 -9.6] dr=1.25 t=0.0ps kin=1.47 pot=21.55 Rg=11.184 SPS=14137 \n", "bl=0 pos[1]=[4.2 15.6 -7.9] dr=1.22 t=0.0ps kin=1.46 pot=21.56 Rg=11.219 SPS=14580 \n", "bl=0 pos[1]=[5.6 16.8 -6.3] dr=1.21 t=0.0ps kin=1.52 pot=21.56 Rg=11.321 SPS=14409 \n", "bl=0 pos[1]=[6.3 17.9 -7.7] dr=1.26 t=0.0ps kin=1.49 pot=21.56 Rg=11.400 SPS=15007 \n", "bl=0 pos[1]=[4.6 16.6 -8.6] dr=1.22 t=0.0ps kin=1.47 pot=21.57 Rg=11.409 SPS=14983 \n", "bl=0 pos[1]=[5.0 15.6 -8.3] dr=1.22 t=0.0ps kin=1.46 pot=21.58 Rg=11.411 SPS=14280 \n", "bl=0 pos[1]=[5.9 15.1 -7.9] dr=1.20 t=0.0ps kin=1.45 pot=21.61 Rg=11.401 SPS=15341 \n", "bl=0 pos[1]=[6.9 17.6 -7.4] dr=1.25 t=0.0ps kin=1.49 pot=21.57 Rg=11.396 SPS=15287 \n", "bl=0 pos[1]=[6.2 17.8 -6.1] dr=1.24 t=0.0ps kin=1.53 pot=21.58 Rg=11.349 SPS=14955 \n", "bl=0 pos[1]=[6.8 17.2 -5.6] dr=1.26 t=0.0ps kin=1.48 pot=21.58 Rg=11.303 SPS=14678 \n", "bl=0 pos[1]=[7.8 17.2 -5.7] dr=1.24 t=0.0ps kin=1.46 pot=21.61 Rg=11.282 SPS=13784 \n", "bl=0 pos[1]=[9.7 16.6 -4.1] dr=1.25 t=0.0ps kin=1.49 pot=21.61 Rg=11.204 SPS=15248 \n", "bl=0 pos[1]=[9.8 16.7 -2.8] dr=1.26 t=0.0ps kin=1.55 pot=21.57 Rg=11.155 SPS=14220 \n", "bl=0 pos[1]=[9.7 17.2 -3.2] dr=1.25 t=0.0ps kin=1.47 pot=21.60 Rg=11.103 SPS=14423 \n", "bl=0 pos[1]=[8.6 17.9 -2.3] dr=1.27 t=0.0ps kin=1.48 pot=21.60 Rg=11.086 SPS=14795 \n", "bl=0 pos[1]=[6.9 18.8 -2.6] dr=1.26 t=0.0ps kin=1.51 pot=21.55 Rg=11.090 SPS=14605 \n", "bl=0 pos[1]=[5.6 18.1 -2.7] dr=1.24 t=0.0ps kin=1.46 pot=21.62 Rg=11.104 SPS=14324 \n", "bl=0 pos[1]=[5.2 18.4 -2.3] dr=1.25 t=0.0ps kin=1.49 pot=21.59 Rg=11.139 SPS=13517 \n", "bl=0 pos[1]=[5.6 17.0 -2.8] dr=1.26 t=0.0ps kin=1.51 pot=21.55 Rg=11.183 SPS=15119 \n", "bl=0 pos[1]=[4.6 15.4 -1.6] dr=1.23 t=0.0ps kin=1.51 pot=21.57 Rg=11.195 SPS=14360 \n", "bl=0 pos[1]=[3.8 15.3 -1.6] dr=1.24 t=0.0ps kin=1.48 pot=21.55 Rg=11.167 SPS=15966 \n", "bl=0 pos[1]=[4.7 14.6 -1.9] dr=1.26 t=0.0ps kin=1.45 pot=21.56 Rg=11.132 SPS=15034 \n", "bl=0 pos[1]=[5.0 14.4 -2.6] dr=1.25 t=0.0ps kin=1.47 pot=21.58 Rg=11.110 SPS=14345 \n", "bl=0 pos[1]=[6.2 15.3 -2.2] dr=1.22 t=0.0ps kin=1.50 pot=21.59 Rg=11.096 SPS=14920 \n", "bl=0 pos[1]=[5.3 16.2 -1.3] dr=1.24 t=0.0ps kin=1.53 pot=21.61 Rg=11.095 SPS=14239 \n", "bl=0 pos[1]=[6.3 16.6 -1.6] dr=1.28 t=0.0ps kin=1.54 pot=21.62 Rg=11.075 SPS=14562 \n", "bl=0 pos[1]=[6.6 18.5 -1.6] dr=1.26 t=0.0ps kin=1.53 pot=21.61 Rg=11.034 SPS=13436 \n", "bl=0 pos[1]=[6.6 19.7 -2.9] dr=1.22 t=0.0ps kin=1.50 pot=21.66 Rg=11.010 SPS=14621 \n", "bl=0 pos[1]=[7.1 18.9 -5.9] dr=1.25 t=0.0ps kin=1.46 pot=21.61 Rg=10.979 SPS=13823 \n", "bl=0 pos[1]=[6.4 16.5 -6.9] dr=1.24 t=0.0ps kin=1.49 pot=21.56 Rg=10.956 SPS=14835 \n", "bl=0 pos[1]=[6.4 15.2 -6.5] dr=1.26 t=0.0ps kin=1.50 pot=21.57 Rg=10.915 SPS=14853 \n", "bl=0 pos[1]=[4.0 14.4 -4.8] dr=1.26 t=0.0ps kin=1.51 pot=21.60 Rg=10.898 SPS=13865 \n", "bl=0 pos[1]=[2.0 13.9 -4.0] dr=1.25 t=0.0ps kin=1.46 pot=21.61 Rg=10.884 SPS=11310 \n", "bl=0 pos[1]=[2.1 13.7 -4.3] dr=1.22 t=0.0ps kin=1.48 pot=21.52 Rg=10.878 SPS=14068 \n", "bl=0 pos[1]=[4.3 12.2 -4.6] dr=1.26 t=0.0ps kin=1.47 pot=21.62 Rg=10.836 SPS=14063 \n", "bl=0 pos[1]=[6.1 12.2 -3.7] dr=1.23 t=0.0ps kin=1.53 pot=21.57 Rg=10.876 SPS=14536 \n", "bl=0 pos[1]=[7.3 12.0 -2.6] dr=1.24 t=0.0ps kin=1.46 pot=21.60 Rg=10.955 SPS=14182 \n", "bl=0 pos[1]=[8.0 11.1 -2.3] dr=1.22 t=0.0ps kin=1.52 pot=21.58 Rg=11.024 SPS=14548 \n", "bl=0 pos[1]=[8.4 11.3 -2.7] dr=1.25 t=0.0ps kin=1.49 pot=21.60 Rg=11.124 SPS=14879 \n", "bl=0 pos[1]=[8.9 11.3 -2.2] dr=1.23 t=0.0ps kin=1.53 pot=21.60 Rg=11.177 SPS=14002 \n", "bl=0 pos[1]=[9.6 10.5 -3.2] dr=1.22 t=0.0ps kin=1.52 pot=21.60 Rg=11.176 SPS=14717 \n", "bl=0 pos[1]=[9.3 10.0 -2.8] dr=1.25 t=0.0ps kin=1.50 pot=21.60 Rg=11.188 SPS=14164 \n", "bl=0 pos[1]=[10.1 10.2 -2.6] dr=1.25 t=0.0ps kin=1.51 pot=21.56 Rg=11.209 SPS=14505 \n", "bl=0 pos[1]=[8.2 10.0 -3.0] dr=1.26 t=0.0ps kin=1.54 pot=21.59 Rg=11.234 SPS=14060 \n", "bl=0 pos[1]=[6.4 11.3 -4.3] dr=1.29 t=0.0ps kin=1.48 pot=21.60 Rg=11.244 SPS=14579 \n", "bl=0 pos[1]=[5.9 10.6 -5.0] dr=1.26 t=0.0ps kin=1.54 pot=21.57 Rg=11.286 SPS=14090 \n", "bl=0 pos[1]=[5.1 10.1 -6.1] dr=1.27 t=0.0ps kin=1.48 pot=21.59 Rg=11.328 SPS=14923 \n", "bl=0 pos[1]=[4.9 9.1 -8.0] dr=1.25 t=0.0ps kin=1.52 pot=21.60 Rg=11.321 SPS=15368 \n", "bl=0 pos[1]=[5.7 9.3 -8.6] dr=1.25 t=0.0ps kin=1.51 pot=21.62 Rg=11.362 SPS=13698 \n", "bl=0 pos[1]=[5.3 9.6 -9.0] dr=1.26 t=0.0ps kin=1.56 pot=21.59 Rg=11.408 SPS=14979 \n" ] } ], "source": [ "for _ in range(n_blocks):\n", " sim.runSimBlock(block, increment=False)\n", " rg.append(sim.chromRG())\n", "\n", "#save the collapsed structure in pdb format for inspection\n", "sim.saveStructure(mode = 'pdb')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Some details about the output for each performed block:\n", "\n", "**bl=0** is the number of each simulated block. In this case we set increment=False, so the number of steps is not being accounted.
\n", "**pos\\[1\\]=\\[X,Y,Z\\]** is the spatial position for the first bead.
\n", "**dr=1.26** shows the average position displacement in each block (in units of sigma).
\n", "**t=0** is the total time (?). In this case we set increment=False, so the time is not being increased.
\n", "**kin=1.5** is the kinect energy of the system.
\n", "**pot=19.90** is the potential energy of the system.
\n", "**RG=7.654** is the radius of gyration in the end of each block.
\n", "**SPS=12312** is the number of steps per second of each block. A measure of how fast the computations are being performed." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Check the convergence of the radius of gyration:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'radius of gyration ($\\\\sigma$)')" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(rg)\n", "plt.xlabel('block number')\n", "plt.ylabel(r'radius of gyration ($\\sigma$)')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The next step is to remove the restraining force in order to run the sampling simulation" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "sim.removeFlatBottomHarmonic()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Initiate the Adam optimization object. In this tutorial, this object is named \"opt\"" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "opt = AdamTraining(mu=3.22, rc = 1.78, eta=0.01, it=1)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a look on Adam initialization parameters:\n", "\n", "**mu** and **rc** are calculated to fit the experimental Hi-C map. These specific values are for GM12878 (see Di Pierro et al., 2016).
\n", "**eta** is the learning rate (default value is 0.01, works well to train the pairwise interactions based on the experimental Hi-C maps)
\n", "**it** is the iteration step." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Load the contact matrix file to the object opt" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "opt.getPars(HiC=\"input/chr10_100k.dense\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The optimization step uses the contact map from the simulation to update the values in the force field. Therefore, the next step is to perform a long simulation with enough statistics to obtain a converged simulated contact map.
\n", "\n", "In order to get a good inversion calculation, it is important to have around $1\\times10^5$ frames from a set of different simulations. For example, $20$ replicas of $5000$ saved frames.
\n", "\n", "This can take some time, so in this tutorial we will use just 1 replica of $5000$ frames saved every $1000$ steps.
\n", "\n", "$block = 1\\times10^3$
\n", "$n\\_blocks = 5000$ " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "block = 1000\n", "n_blocks = 50" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bl=1 pos[1]=[5.5 10.3 -7.9] dr=1.88 t=0.0ps kin=1.46 pot=21.58 Rg=11.463 SPS=11324 \n", "bl=2 pos[1]=[6.7 11.7 -9.4] dr=1.88 t=0.0ps kin=1.50 pot=21.53 Rg=11.610 SPS=11625 \n", "bl=3 pos[1]=[6.7 11.2 -9.9] dr=1.89 t=0.0ps kin=1.50 pot=21.51 Rg=11.857 SPS=13000 \n", "bl=4 pos[1]=[6.1 8.8 -10.1] dr=1.93 t=0.0ps kin=1.52 pot=21.51 Rg=12.107 SPS=15198 \n", "bl=5 pos[1]=[8.1 8.0 -8.6] dr=1.95 t=0.0ps kin=1.54 pot=21.53 Rg=12.210 SPS=15751 \n", "bl=6 pos[1]=[8.0 8.4 -4.9] dr=1.92 t=0.0ps kin=1.52 pot=21.52 Rg=12.351 SPS=15347 \n", "bl=7 pos[1]=[4.6 8.0 -7.0] dr=1.89 t=0.0ps kin=1.48 pot=21.56 Rg=12.410 SPS=15001 \n", "bl=8 pos[1]=[5.7 11.8 -4.5] dr=1.91 t=0.0ps kin=1.49 pot=21.59 Rg=12.485 SPS=14968 \n", "bl=9 pos[1]=[6.4 13.6 -5.2] dr=1.92 t=0.0ps kin=1.52 pot=21.53 Rg=12.653 SPS=14891 \n", "bl=10 pos[1]=[4.5 10.4 -4.5] dr=1.91 t=0.0ps kin=1.55 pot=21.49 Rg=12.824 SPS=15702 \n", "bl=11 pos[1]=[6.1 9.3 -7.0] dr=1.90 t=0.0ps kin=1.52 pot=21.52 Rg=12.994 SPS=15009 \n", "bl=12 pos[1]=[5.9 13.4 -9.1] dr=1.90 t=0.0ps kin=1.53 pot=21.58 Rg=13.158 SPS=14747 \n", "bl=13 pos[1]=[5.5 14.2 -9.4] dr=1.93 t=0.0ps kin=1.53 pot=21.49 Rg=13.266 SPS=14975 \n", "bl=14 pos[1]=[5.3 10.1 -9.4] dr=1.91 t=0.0ps kin=1.48 pot=21.55 Rg=13.334 SPS=14952 \n", "bl=15 pos[1]=[3.8 8.2 -8.7] dr=1.91 t=0.0ps kin=1.53 pot=21.58 Rg=13.469 SPS=14917 \n", "bl=16 pos[1]=[3.3 7.3 -8.3] dr=1.83 t=0.0ps kin=1.52 pot=21.49 Rg=13.521 SPS=15231 \n", "bl=17 pos[1]=[3.3 6.4 -9.3] dr=1.94 t=0.0ps kin=1.44 pot=21.55 Rg=13.493 SPS=14712 \n", "bl=18 pos[1]=[4.3 6.2 -11.1] dr=1.92 t=0.0ps kin=1.49 pot=21.52 Rg=13.548 SPS=15783 \n", "bl=19 pos[1]=[7.4 6.9 -12.6] dr=1.87 t=0.0ps kin=1.44 pot=21.56 Rg=13.681 SPS=15239 \n", "bl=20 pos[1]=[7.0 8.8 -12.4] dr=1.85 t=0.0ps kin=1.48 pot=21.52 Rg=13.740 SPS=14830 \n", "bl=21 pos[1]=[5.1 9.8 -11.0] dr=1.94 t=0.0ps kin=1.50 pot=21.55 Rg=13.804 SPS=15532 \n", "bl=22 pos[1]=[4.0 8.0 -10.9] dr=1.89 t=0.0ps kin=1.52 pot=21.52 Rg=13.964 SPS=15286 \n", "bl=23 pos[1]=[3.8 10.5 -9.6] dr=1.87 t=0.0ps kin=1.52 pot=21.57 Rg=14.019 SPS=15235 \n", "bl=24 pos[1]=[3.5 11.2 -10.9] dr=1.90 t=0.0ps kin=1.43 pot=21.54 Rg=14.053 SPS=16519 \n", "bl=25 pos[1]=[6.2 10.7 -11.7] dr=1.93 t=0.0ps kin=1.53 pot=21.56 Rg=14.008 SPS=16787 \n", "bl=26 pos[1]=[6.6 7.7 -12.1] dr=1.97 t=0.0ps kin=1.51 pot=21.53 Rg=14.083 SPS=16116 \n", "bl=27 pos[1]=[4.4 8.6 -10.6] dr=1.96 t=0.0ps kin=1.49 pot=21.58 Rg=14.146 SPS=16359 \n", "bl=28 pos[1]=[4.8 12.2 -10.4] dr=1.95 t=0.0ps kin=1.46 pot=21.55 Rg=14.174 SPS=16202 \n", "bl=29 pos[1]=[5.2 12.6 -9.8] dr=1.97 t=0.0ps kin=1.51 pot=21.54 Rg=14.196 SPS=16520 \n", "bl=30 pos[1]=[3.7 12.9 -9.9] dr=1.91 t=0.0ps kin=1.45 pot=21.52 Rg=14.144 SPS=15429 \n", "bl=31 pos[1]=[5.8 9.6 -7.4] dr=1.88 t=0.0ps kin=1.49 pot=21.54 Rg=14.221 SPS=15646 \n", "bl=32 pos[1]=[6.3 10.4 -6.3] dr=1.88 t=0.0ps kin=1.48 pot=21.52 Rg=14.266 SPS=15488 \n", "bl=33 pos[1]=[5.6 6.7 -7.0] dr=1.91 t=0.0ps kin=1.47 pot=21.50 Rg=14.302 SPS=16323 \n", "bl=34 pos[1]=[6.1 6.5 -8.3] dr=1.94 t=0.0ps kin=1.54 pot=21.54 Rg=14.444 SPS=15755 \n", "bl=35 pos[1]=[7.9 7.1 -7.6] dr=1.90 t=0.0ps kin=1.53 pot=21.51 Rg=14.456 SPS=15281 \n", "bl=36 pos[1]=[6.2 5.0 -10.2] dr=1.96 t=0.0ps kin=1.52 pot=21.54 Rg=14.557 SPS=15919 \n", "bl=37 pos[1]=[5.0 7.4 -10.4] dr=1.96 t=0.0ps kin=1.49 pot=21.52 Rg=14.650 SPS=15861 \n", "bl=38 pos[1]=[7.3 9.5 -9.1] dr=1.83 t=0.0ps kin=1.54 pot=21.56 Rg=14.604 SPS=16106 \n", "bl=39 pos[1]=[8.0 8.5 -10.2] dr=1.98 t=0.0ps kin=1.51 pot=21.56 Rg=14.597 SPS=16383 \n", "bl=40 pos[1]=[6.7 7.6 -8.3] dr=1.91 t=0.0ps kin=1.47 pot=21.53 Rg=14.613 SPS=16118 \n", "bl=41 pos[1]=[6.8 7.1 -7.4] dr=1.94 t=0.0ps kin=1.53 pot=21.53 Rg=14.552 SPS=15405 \n", "bl=42 pos[1]=[7.9 7.4 -5.8] dr=1.96 t=0.0ps kin=1.54 pot=21.54 Rg=14.560 SPS=15734 \n", "bl=43 pos[1]=[8.6 6.8 -6.3] dr=1.94 t=0.0ps kin=1.56 pot=21.56 Rg=14.638 SPS=16091 \n", "bl=44 pos[1]=[10.7 8.1 -7.1] dr=1.92 t=0.0ps kin=1.52 pot=21.52 Rg=14.659 SPS=15797 \n", "bl=45 pos[1]=[13.2 7.3 -4.7] dr=1.94 t=0.0ps kin=1.50 pot=21.53 Rg=14.690 SPS=15806 \n", "bl=46 pos[1]=[12.8 5.8 -6.6] dr=1.91 t=0.0ps kin=1.50 pot=21.56 Rg=14.725 SPS=15625 \n", "bl=47 pos[1]=[10.2 4.3 -7.1] dr=1.93 t=0.0ps kin=1.46 pot=21.50 Rg=14.795 SPS=16080 \n", "bl=48 pos[1]=[9.6 8.2 -9.8] dr=1.89 t=0.0ps kin=1.46 pot=21.47 Rg=14.775 SPS=15822 \n", "bl=49 pos[1]=[7.1 5.9 -9.0] dr=1.94 t=0.0ps kin=1.51 pot=21.48 Rg=14.797 SPS=15511 \n", "\n", "Statistics for the simulation opt_chr10_100K, number of particles: 1356, number of chains: 1\n", "\n", "Statistics for particle position\n", " mean position is: [-1.23957781 1.7779258 2.78054735] Rg = 14.796688\n", " median bond size is 0.9680976445921962\n", " three shortest/longest (<10)/ bonds are [0.86936723 0.88400501 0.88756599] [1.09114228 1.09780597 1.10176906]\n", " 95 percentile of distance to center is: 21.431837046446862\n", " density of closest 95% monomers is: 0.031240393096327784\n", " density of the core monomers is: 0.07548378809911002\n", " min/median/mean/max coordinates are: \n", " x: -21.97, -1.27, -1.24, 20.78\n", " y: -18.23, 1.69, 1.78, 28.29\n", " z: -12.99, 2.12, 2.78, 20.77\n", "\n", "Statistics for velocities:\n", " mean kinetic energy is: 1.512121087969534 should be: 1.5\n", " fastest particles are (in kT): [7.25928234 7.28251669 7.57800841 7.84269129 8.89079614]\n", "\n", "Statistics for the system:\n", " Forces are: ['FENEBond', 'AngleForce', 'RepulsiveSoftCore', 'CustomTypes']\n", " Number of exceptions: 1355\n", "\n", "Potential Energy Ep = 21.483418602507374\n", "bl=50 pos[1]=[5.9 7.4 -7.8] dr=1.97 t=0.0ps kin=1.50 pot=21.44 Rg=14.789 SPS=16144 \n" ] } ], "source": [ "for _ in range(n_blocks):\n", " sim.runSimBlock(block, increment=True) #perform 1 block of the simulation\n", " state = sim.getPositions() #get the positions for each block\n", " opt.probCalc(state) #calculate and store the contact map for each block" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "In the end of each simulation replica we need to save some important values required to calculate the Adam step.
\n", "\n", "We save these values using the H5 compressed files because of the efficiency writing/reading them.
\n", "\n", "Note: attention to this step. We have two files for each replica for each iteration step. Be organized! " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "replica=1\n", "\n", "with h5py.File(sim.folder + \"/Pi_\" + str(replica)+\".h5\", 'w') as hf:\n", " hf.create_dataset(\"Pi\", data=opt.Pi)\n", "\n", "np.savetxt(sim.folder + \"/Nframes_\" + str(replica), [opt.NFrames])" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The first part of the optimization is finished. Inside the output folder, for each iteration, there are these 2 files used in next step:\n", "\n", "Nframes_1
\n", "Pi_1.h5" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Nframes_1\n", "opt_chr10_100K_0_block0.pdb\n", "Pi_1.h5\n", "platform_info.dat\n", "probdist_1\n" ] } ], "source": [ "%%bash\n", "ls iteration_1/" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The second part is the inversion. It is quite simple, just feed the optmization object with the files from all replicas and make the inversion to get the updated force field file." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "opt2 = AdamTraining(mu=3.22, rc = 1.78, eta=0.01, it=1)\n", "opt2.getPars(HiC=\"input/chr10_100k.dense\")" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "reading files from replica 1\n" ] } ], "source": [ "Nreplicas = 1\n", "path = \"iteration_1\"\n", "for rep in range(1,Nreplicas+1):\n", " print(\"reading files from replica {}\".format(rep))\n", " with h5py.File(path + \"/Pi_\" + str(rep)+\".h5\", 'r') as hf:\n", " opt2.Pi += hf['Pi'][:]\n", " opt2.NFrames += int(np.loadtxt(path + \"/Nframes_\" + str(rep)))\n", " " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "With the contact probabilities from with all replicas, we calculate the inversion and get the updated parameters for the force field.\n", "\n", "To calculate the new FF, we need to load the old one. " ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "lamb_new = opt2.getLamb(Lambdas=\"input/lambda_1\")" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Bead1Bead2Bead3Bead4Bead5Bead6Bead7Bead8Bead9Bead10...Bead1347Bead1348Bead1349Bead1350Bead1351Bead1352Bead1353Bead1354Bead1355Bead1356
0-0.00999-0.010000.01000-0.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.01000-0.01000-0.01000-0.01000
1-0.01000-0.00999-0.010000.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.01000-0.01000-0.01000-0.01000
20.01000-0.01000-0.00999-0.010000.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.01000-0.01000-0.01000-0.01000
3-0.010000.01000-0.01000-0.00999-0.010000.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.01000-0.01000-0.01000-0.01000
4-0.01000-0.010000.01000-0.01000-0.00999-0.010.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.01000-0.01000-0.01000-0.01000
..................................................................
1351-0.01000-0.01000-0.01000-0.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.010.01-0.01-0.00999-0.010000.01000-0.01000-0.01000
1352-0.01000-0.01000-0.01000-0.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.010.01-0.01000-0.00999-0.010000.01000-0.01000
1353-0.01000-0.01000-0.01000-0.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.010.01000-0.01000-0.00999-0.010000.01000
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1355-0.01000-0.01000-0.01000-0.01000-0.01000-0.01-0.01-0.01-0.01-0.01...-0.01-0.01-0.01-0.01-0.01-0.01000-0.010000.01000-0.01000-0.00999
\n", "

1356 rows × 1356 columns

\n", "
" ], "text/plain": [ " Bead1 Bead2 Bead3 Bead4 Bead5 Bead6 Bead7 Bead8 Bead9 \\\n", "0 -0.00999 -0.01000 0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "1 -0.01000 -0.00999 -0.01000 0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "2 0.01000 -0.01000 -0.00999 -0.01000 0.01000 -0.01 -0.01 -0.01 -0.01 \n", "3 -0.01000 0.01000 -0.01000 -0.00999 -0.01000 0.01 -0.01 -0.01 -0.01 \n", "4 -0.01000 -0.01000 0.01000 -0.01000 -0.00999 -0.01 0.01 -0.01 -0.01 \n", "... ... ... ... ... ... ... ... ... ... \n", "1351 -0.01000 -0.01000 -0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "1352 -0.01000 -0.01000 -0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "1353 -0.01000 -0.01000 -0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "1354 -0.01000 -0.01000 -0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "1355 -0.01000 -0.01000 -0.01000 -0.01000 -0.01000 -0.01 -0.01 -0.01 -0.01 \n", "\n", " Bead10 ... Bead1347 Bead1348 Bead1349 Bead1350 Bead1351 Bead1352 \\\n", "0 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "1 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "2 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "3 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "4 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "... ... ... ... ... ... ... ... ... \n", "1351 -0.01 ... -0.01 -0.01 -0.01 0.01 -0.01 -0.00999 \n", "1352 -0.01 ... -0.01 -0.01 -0.01 -0.01 0.01 -0.01000 \n", "1353 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 0.01000 \n", "1354 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "1355 -0.01 ... -0.01 -0.01 -0.01 -0.01 -0.01 -0.01000 \n", "\n", " Bead1353 Bead1354 Bead1355 Bead1356 \n", "0 -0.01000 -0.01000 -0.01000 -0.01000 \n", "1 -0.01000 -0.01000 -0.01000 -0.01000 \n", "2 -0.01000 -0.01000 -0.01000 -0.01000 \n", "3 -0.01000 -0.01000 -0.01000 -0.01000 \n", "4 -0.01000 -0.01000 -0.01000 -0.01000 \n", "... ... ... ... ... \n", "1351 -0.01000 0.01000 -0.01000 -0.01000 \n", "1352 -0.00999 -0.01000 0.01000 -0.01000 \n", "1353 -0.01000 -0.00999 -0.01000 0.01000 \n", "1354 0.01000 -0.01000 -0.00999 -0.01000 \n", "1355 -0.01000 0.01000 -0.01000 -0.00999 \n", "\n", "[1356 rows x 1356 columns]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lamb_new" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Save the new force field to a file. To keep the organization, we use the same name followed by the number of the new iteration:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "lamb_new.to_csv(\"input/lambda_2\", index=False)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We can plot the parameters of the force field to check the changes between the 2 steps:" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ff_old = pd.read_csv(\"input/lambda_1\")\n", "ff_new = pd.read_csv(\"input/lambda_2\")\n", "\n", "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8,4))\n", "\n", "f1 = axes[0].matshow(ff_old.values, vmin=-0.1, vmax=0.1, cmap=\"bwr\")\n", "axes[0].set_title('lambda_1', loc='center')\n", "fig.colorbar(f1, orientation='horizontal', ax=axes[0], shrink=0.9, fraction=0.046, pad=0.04)\n", "\n", "f2 = axes[1].matshow(ff_new.values, vmin=-0.1, vmax=0.1, cmap=\"bwr\")\n", "axes[1].set_title('lambda_2', loc='center')\n", "fig.colorbar(f2, orientation='horizontal', ax=axes[1], shrink=0.9, fraction=0.046, pad=0.04)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We can also check the error between experimental and simulation Hi-C maps:" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.9527989958833853\n" ] } ], "source": [ "print(opt2.error)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Save/plot the simulation Hi-C and compare to the experimental one" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Save\n", "np.savetxt(\"iteration_1/probdist_1\", opt2.phi_sim)\n", "\n", "#Plot\n", "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8,4))\n", "\n", "f1 = axes[0].matshow(opt2.phi_exp,norm=mpl.colors.LogNorm(vmin=0.0001, vmax=opt2.phi_exp.max()),cmap=\"Reds\") \n", "axes[0].set_title('Experimental Hi-C', loc='center')\n", "fig.colorbar(f1, orientation='horizontal', ax=axes[0], shrink=0.9, fraction=0.046, pad=0.04)\n", "\n", "f2 = axes[1].matshow(opt2.phi_sim,norm=mpl.colors.LogNorm(vmin=0.0001, vmax=opt2.phi_exp.max()),cmap=\"Reds\") \n", "axes[1].set_title('Simulation Hi-C', loc='center')\n", "fig.colorbar(f2, orientation='horizontal', ax=axes[1], shrink=0.9, fraction=0.046, pad=0.04)\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "As one can see, the simulation Hi-C map is not converged. This is due to two main reasons:
\n", " 1 - We just performed a single simulation instead of multiple replicas;
\n", " 2 - The force field remains almost with zero interactions due to the number of optimization steps. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Redo these steps using the new lambda file (lambda_2) as input for customTypes potential in the next iteration. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Fixing values on the force field" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "If we inspect again the experimental Hi-C map you can observe that some regions have a white band. These gaps arise from difficulty of sequencing those regions, often highly repetitive regions. The centromere of the chromosomes is one of them. " ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "filename = 'input/chr10_100k.dense'\n", "hic_file = np.loadtxt(filename)\n", "\n", "r=np.triu(hic_file, k=1) \n", "r[np.isnan(r)]= 0.0\n", "r = normalize(r, axis=1, norm='max') \n", "rd = np.transpose(r) \n", "r=r+rd + np.diag(np.ones(len(r)))\n", "plt.matshow(r,norm=mpl.colors.LogNorm(vmin=0.0001, vmax=r.max()),cmap=\"Reds\") \n", "plt.colorbar()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "So, when we perform the Adam optimization, the parameters regarding the interactions of these regions will not be trained because of the lack of data. \n", "\n", "One way to solve this problem is to define some interactions initially and then keep these fixed over iterations." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Find the index position of each white band " ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408\n", " 409 410 411 412 413 414 415 416 417 418 419 420 421 422 463 464 466 467\n", " 468 477 478 480 481 482 490]\n" ] } ], "source": [ "#get the first diagonal (first neighbor)\n", "diag1 = np.diag(r, k=1)\n", "\n", "#find the index where the first neighbor is equal to zero\n", "centromere_index = np.where(diag1 == 0)[0]\n", "print(centromere_index)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now we can create the new initial force field parameters' matrix with a specific value for these interactions. Here we chose $-0.3$ for centromere-centromere interactions and $-0.2$ for centromere-other beads." ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1356 rows × 1356 columns

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" ], "text/plain": [ " Bead1 Bead2 Bead3 Bead4 Bead5 Bead6 Bead7 Bead8 Bead9 Bead10 \\\n", "0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... ... ... ... ... ... ... \n", "1351 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1352 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1353 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1354 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1355 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", "\n", " ... Bead1347 Bead1348 Bead1349 Bead1350 Bead1351 Bead1352 \\\n", "0 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "2 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "3 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "4 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... ... ... ... \n", "1351 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1352 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1353 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1354 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "1355 ... 0.0 0.0 0.0 0.0 0.0 0.0 \n", "\n", " Bead1353 Bead1354 Bead1355 Bead1356 \n", "0 0.0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "... ... ... ... ... \n", "1351 0.0 0.0 0.0 0.0 \n", "1352 0.0 0.0 0.0 0.0 \n", "1353 0.0 0.0 0.0 0.0 \n", "1354 0.0 0.0 0.0 0.0 \n", "1355 0.0 0.0 0.0 0.0 \n", "\n", "[1356 rows x 1356 columns]" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#read the sequence file\n", "seq = np.loadtxt(\"input/seq_chr10\", dtype=str)[:,1]\n", "pol_size = len(seq)\n", "#create a NxN matrix fill with zeros, where N is the chromossome lenght\n", "data = np.zeros((pol_size,pol_size))\n", "\n", "#Set values for centromere regions and NA regions\n", "cent = [391,422]\n", "NAs = [463, 464, 466, 467, 468, 477, 478, 480, 481, 482, 490]\n", "data[cent[0]:cent[1],:] = -0.2\n", "data[:,cent[0]:cent[1]] = -0.2\n", "data[cent[0]:cent[1],cent[0]:cent[1]] = -0.3\n", "for na in NAs:\n", " data[na,:] = -0.2\n", " data[:,na] = -0.2\n", "\n", "#transform it in a Pandas dataframe using the sequence names as header\n", "lamb = pd.DataFrame(data, columns=seq)\n", "#save to a csv file format in the \"input\" folder\n", "lamb.to_csv(\"input/lambda_fixed_1\", index=False)\n", "lamb" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.matshow(lamb.values, vmin=-0.4, vmax=0.4, cmap=\"bwr\")\n", "plt.colorbar()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Save the information about the index of the gaps.\n", "\n", "When calling the Adam optimization step, we can define fixed points. We provide a list of pair of interactions that will remain unchanged throughout the optimization procedure." ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "import itertools\n", "#list of all beads\n", "N = np.arange(opt2.expHiC.shape[0])\n", "\n", "#use the itertools to create all pair of iteractions\n", "fix_points = list(itertools.product(centromere_index,N))\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Use the following line to update the parameters maintaining the desired interactions fixed\n", "#lamb_new = opt2.getLamb(Lambdas=\"input/lambda_1\", fixedPoints=fix_points)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.11 ('base')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.11" }, "vscode": { "interpreter": { "hash": "2b315b238527074b48ede1db88856294695fedbd9a1befcadf019011d6f4a552" } } }, "nbformat": 4, "nbformat_minor": 4 }