Warning, /pyjano/tests/open_charm.ipynb is written in an unsupported language. File is not indexed.
0001 {
0002 "cells": [
0003 {
0004 "cell_type": "code",
0005 "execution_count": 10,
0006 "metadata": {},
0007 "outputs": [],
0008 "source": [
0009 "import ROOT\n",
0010 "import math\n",
0011 "%jsroot on"
0012 ]
0013 },
0014 {
0015 "cell_type": "code",
0016 "execution_count": 11,
0017 "metadata": {},
0018 "outputs": [
0019 {
0020 "data": {
0021 "application/javascript": [
0022 "if (!window.myfun) {\n",
0023 " var s = document.createElement('script');\n",
0024 " s.src='https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js';\n",
0025 " document.body.appendChild(s);\n",
0026 "}\n"
0027 ],
0028 "text/plain": [
0029 "<IPython.core.display.Javascript object>"
0030 ]
0031 },
0032 "metadata": {},
0033 "output_type": "display_data"
0034 }
0035 ],
0036 "source": [
0037 "%%javascript\n",
0038 "if (!window.myfun) {\n",
0039 " var s = document.createElement('script');\n",
0040 " s.src='https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js';\n",
0041 " document.body.appendChild(s);\n",
0042 "}"
0043 ]
0044 },
0045 {
0046 "cell_type": "markdown",
0047 "metadata": {},
0048 "source": [
0049 "### Neutron distributions"
0050 ]
0051 },
0052 {
0053 "cell_type": "code",
0054 "execution_count": 12,
0055 "metadata": {},
0056 "outputs": [],
0057 "source": [
0058 "eventless_file = ROOT.TFile('data/eventless_output.root')"
0059 ]
0060 },
0061 {
0062 "cell_type": "code",
0063 "execution_count": 13,
0064 "metadata": {},
0065 "outputs": [],
0066 "source": [
0067 "# Preparing histograms\n",
0068 "xy_hist = ROOT.TH2D('xy_hist', 'Neutrons angle distribution', 60, -0.2, 0.1, 60, -0.15, 0.15)\n",
0069 "x_hist = ROOT.TH1D('x_hist', 'Neutrons horizontal angle distribution', 60, -0.2, 0.1)\n",
0070 "y_hist = ROOT.TH1D('y_hist', 'Neutrons vertical angle distribution', 60, -0.15, 0.15)\n",
0071 "e_hist = ROOT.TH1D('e_hist', 'Neutrons energy distribution; [GeV]', 140, 0, 70)\n",
0072 "\n",
0073 "neutrons_only = ROOT.TCut('pdg==2112')"
0074 ]
0075 },
0076 {
0077 "cell_type": "code",
0078 "execution_count": 14,
0079 "metadata": {},
0080 "outputs": [
0081 {
0082 "data": {
0083 "text/plain": [
0084 "14150"
0085 ]
0086 },
0087 "execution_count": 14,
0088 "metadata": {},
0089 "output_type": "execute_result"
0090 },
0091 {
0092 "name": "stderr",
0093 "output_type": "stream",
0094 "text": [
0095 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas\n"
0096 ]
0097 }
0098 ],
0099 "source": [
0100 "# Reading a tree from the file\n",
0101 "tree = eventless_file.Get('eventless').Get('tree')\n",
0102 "\n",
0103 "# Filling the histograms from the tree\n",
0104 "canvas = ROOT.TCanvas('canvas', 'canvas',600,400)\n",
0105 "tree.Draw('asin(py/p):atan(px/pz)>>xy_hist', neutrons_only)\n",
0106 "tree.Draw('atan(px/pz)>>x_hist', neutrons_only)\n",
0107 "tree.Draw('asin(py/p)>>y_hist', neutrons_only)\n",
0108 "tree.Draw('tot_e>>e_hist', neutrons_only)"
0109 ]
0110 },
0111 {
0112 "cell_type": "code",
0113 "execution_count": 15,
0114 "metadata": {},
0115 "outputs": [
0116 {
0117 "data": {
0118 "text/html": [
0119 "\n",
0120 "<div id=\"root_plot_4\"\n",
0121 " style=\"width: 596px; height: 372px\">\n",
0122 "</div>\n",
0123 "\n",
0124 "<script>\n",
0125 " requirejs.config({\n",
0126 " paths: {\n",
0127 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0128 " }\n",
0129 " });\n",
0130 " require(['JSRootCore'],\n",
0131 " function(Core) {\n",
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0133 " Core.draw(\"root_plot_4\", obj, \"\");\n",
0134 " }\n",
0135 " );\n",
0136 "</script>\n"
0137 ],
0138 "text/plain": [
0139 "<IPython.core.display.HTML object>"
0140 ]
0141 },
0142 "metadata": {},
0143 "output_type": "display_data"
0144 }
0145 ],
0146 "source": [
0147 "e_hist.Draw()\n",
0148 "canvas.Draw()"
0149 ]
0150 },
0151 {
0152 "cell_type": "code",
0153 "execution_count": 16,
0154 "metadata": {},
0155 "outputs": [
0156 {
0157 "name": "stderr",
0158 "output_type": "stream",
0159 "text": [
0160 "Warning in <TCanvas::Constructor>: Deleting canvas with same name: canvas0\n"
0161 ]
0162 }
0163 ],
0164 "source": [
0165 "canvas0 = ROOT.TCanvas('canvas0', 'canvas0',760,700)\n",
0166 "canvas0.Divide(2,2)"
0167 ]
0168 },
0169 {
0170 "cell_type": "code",
0171 "execution_count": 17,
0172 "metadata": {},
0173 "outputs": [
0174 {
0175 "data": {
0176 "text/html": [
0177 "\n",
0178 "<div id=\"root_plot_5\"\n",
0179 " style=\"width: 756px; height: 672px\">\n",
0180 "</div>\n",
0181 "\n",
0182 "<script>\n",
0183 " requirejs.config({\n",
0184 " paths: {\n",
0185 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0186 " }\n",
0187 " });\n",
0188 " require(['JSRootCore'],\n",
0189 " function(Core) {\n",
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distribution\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0537574402987957}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"colz\",\"blNDC\"]},\"fExecs\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[],\"opt\":[]},\"fName\":\"canvas0_3\",\"fTitle\":\"canvas0_3\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0},{\"_typename\":\"TPad\",\"fUniqueID\":0,\"fBits\":50332169,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fLeftMargin\":0.12,\"fRightMargin\":0.12,\"fBottomMargin\":0.1,\"fTopMargin\":0.1,\"fXfile\":2,\"fYfile\":2,\"fAfile\":1,\"fXstat\":0.99,\"fYstat\":0.99,\"fAstat\":2,\"fFrameFillColor\":0,\"fFrameLineColor\":1,\"fFrameFillStyle\":1001,\"fFrameLineStyle\":1,\"fFrameLineWidth\":1,\"fFrameBorderSize\":1,\"fFrameBorderMode\":0,\"fX1\":-1.32845662556826,\"fY1\":-0.187500002793968,\"fX2\":4.72484870486822,\"fY2\":0.187500002793968,\"fXtoAbsPixelk\":465.197589062899,\"fXtoPixelk\":79.6375892318785,\"fXtoPixel\":59.9474139381951,\"fYtoAbsPixelk\":504.00005,\"fYtoPixelk\":161.280050150204,\"fYtoPixel\":-860.159987983703,\"fUtoAbsPixelk\":385.560049831021,\"fUtoPixelk\":5e-5,\"fUtoPixel\":362.880000337958,\"fVtoAbsPixelk\":665.280050150204,\"fVtoPixelk\":322.560000300407,\"fVtoPixel\":-322.560000300407,\"fAbsPixeltoXk\":-7.7600935303483,\"fPixeltoXk\":-1.32845662556826,\"fPixeltoX\":0.0166812867195737,\"fAbsPixeltoYk\":0.585937508185453,\"fPixeltoYk\":-0.187500002793968,\"fPixeltoY\":-0.00116257442100288,\"fXlowNDC\":0.509999999776483,\"fYlowNDC\":0.00999999977648258,\"fXUpNDC\":0,\"fYUpNDC\":0,\"fWNDC\":0.480000000447035,\"fHNDC\":0.480000000447035,\"fAbsXlowNDC\":0.509999999776483,\"fAbsYlowNDC\":0.00999999977648258,\"fAbsWNDC\":0.480000000447035,\"fAbsHNDC\":0.480000000447035,\"fUxmin\":-0.602059991327962,\"fUymin\":-0.15,\"fUxmax\":3.99845207062792,\"fUymax\":0.15,\"fTheta\":30,\"fPhi\":30,\"fAspectRatio\":0,\"fNumber\":4,\"fTickx\":0,\"fTicky\":0,\"fLogx\":1,\"fLogy\":0,\"fLogz\":0,\"fPadPaint\":0,\"fCrosshair\":0,\"fCrosshairPos\":0,\"fBorderSize\":2,\"fBorderMode\":0,\"fModified\":false,\"fGridx\":false,\"fGridy\":false,\"fAbsCoord\":false,\"fEditable\":true,\"fFixedAspectRatio\":false,\"fPrimitives\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TFrame\",\"fUniqueID\":0,\"fBits\":50331656,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":-0.602059991327962,\"fY1\":-0.15,\"fX2\":3.99845207062792,\"fY2\":0.15,\"fBorderSize\":1,\"fBorderMode\":0},{\"_typename\":\"TH1D\",\"fUniqueID\":0,\"fBits\":50332168,\"fName\":\"y_hist\",\"fTitle\":\"Neutrons vertical angle distribution\",\"fLineColor\":602,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":601,\"fFillStyle\":1001,\"fMarkerColor\":1,\"fMarkerStyle\":1,\"fMarkerSize\":1,\"fNcells\":62,\"fXaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"xaxis\",\"fTitle\":\"Vertical angle (y) 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0191 " Core.draw(\"root_plot_5\", obj, \"\");\n",
0192 " }\n",
0193 " );\n",
0194 "</script>\n"
0195 ],
0196 "text/plain": [
0197 "<IPython.core.display.HTML object>"
0198 ]
0199 },
0200 "metadata": {},
0201 "output_type": "display_data"
0202 }
0203 ],
0204 "source": [
0205 "is_log_scale = True\n",
0206 "\n",
0207 "l_margin = 0.12\n",
0208 "r_margin = 0.12\n",
0209 "\n",
0210 "pad = canvas0.cd(1)\n",
0211 "pad.SetLogx(False)\n",
0212 "pad.SetLogy(is_log_scale)\n",
0213 "pad.SetLogz(False)\n",
0214 "pad.SetLeftMargin(l_margin)\n",
0215 "pad.SetRightMargin(r_margin)\n",
0216 "x_hist.SetXTitle('Horizontal angle (x) [rad]')\n",
0217 "x_hist.SetStats(False)\n",
0218 "x_hist.SetFillColor(ROOT.kBlue+1)\n",
0219 "x_hist.SetBarWidth(1.)\n",
0220 "x_hist.SetBarOffset(0.)\n",
0221 "x_hist.Draw('bar')\n",
0222 "\n",
0223 "pad = canvas0.cd(2)\n",
0224 "pad.SetLogx(False)\n",
0225 "pad.SetLogy(False)\n",
0226 "pad.SetLogz(is_log_scale)\n",
0227 "pad.SetLeftMargin(l_margin)\n",
0228 "pad.SetRightMargin(r_margin)\n",
0229 "xy_hist.SetXTitle('Horizontal angle (x) [rad]')\n",
0230 "xy_hist.SetYTitle('Vertical angle (y) [rad]')\n",
0231 "xy_hist.SetStats(False)\n",
0232 "xy_hist.Draw('lego2z')\n",
0233 "\n",
0234 "pad = canvas0.cd(3)\n",
0235 "pad.SetLogx(False)\n",
0236 "pad.SetLogy(False)\n",
0237 "pad.SetLogz(is_log_scale)\n",
0238 "pad.SetLeftMargin(l_margin)\n",
0239 "pad.SetRightMargin(r_margin)\n",
0240 "xy_hist.SetStats(False)\n",
0241 "xy_hist.Draw('colz')\n",
0242 "\n",
0243 "pad = canvas0.cd(4)\n",
0244 "pad.SetLogx(is_log_scale)\n",
0245 "pad.SetLogy(False)\n",
0246 "pad.SetLogz(False)\n",
0247 "pad.SetLeftMargin(l_margin)\n",
0248 "pad.SetRightMargin(r_margin)\n",
0249 "y_hist.GetXaxis().SetTitleOffset(1.5)\n",
0250 "y_hist.SetXTitle('Vertical angle (y) [rad]')\n",
0251 "y_hist.SetStats(False)\n",
0252 "y_hist.SetFillColor(ROOT.kBlue+1)\n",
0253 "y_hist.SetBarWidth(1.)\n",
0254 "y_hist.SetBarOffset(0.)\n",
0255 "y_hist.Draw('hbar')\n",
0256 "\n",
0257 "canvas0.Draw()"
0258 ]
0259 },
0260 {
0261 "cell_type": "markdown",
0262 "metadata": {},
0263 "source": [
0264 "Horizontal angle (x):\n",
0265 "$\n",
0266 "\\begin{align}\n",
0267 "\\alpha_h = arctan(\\dfrac{p_x}{p_z})\n",
0268 "\\end{align}\n",
0269 "$\n",
0270 "\n",
0271 "Vertical angle (y):\n",
0272 "$\n",
0273 "\\begin{align}\n",
0274 "\\alpha_v = arcsin(\\dfrac{p_y}{p})\n",
0275 "\\end{align}\n",
0276 "$"
0277 ]
0278 },
0279 {
0280 "cell_type": "markdown",
0281 "metadata": {},
0282 "source": [
0283 "\n"
0284 ]
0285 },
0286 {
0287 "cell_type": "markdown",
0288 "metadata": {},
0289 "source": [
0290 "### Open charm"
0291 ]
0292 },
0293 {
0294 "cell_type": "code",
0295 "execution_count": 18,
0296 "metadata": {},
0297 "outputs": [],
0298 "source": [
0299 "file_sm0 = ROOT.TFile('data/open_charm.root')\n",
0300 "file_sm1 = ROOT.TFile('data/open_charm_sm.root')"
0301 ]
0302 },
0303 {
0304 "cell_type": "code",
0305 "execution_count": 19,
0306 "metadata": {},
0307 "outputs": [],
0308 "source": [
0309 "dirs = [file_sm0.Get('opencharm'), file_sm1.Get('opencharm')]\n",
0310 "getVarName = lambda name: name.replace(' ', '_').replace('/', '_').lower()\n",
0311 "for name in [key.GetName() for key in dirs[0].GetListOfKeys()]:\n",
0312 " varName = getVarName(name)\n",
0313 " exec(\"{varName} = [d.Get('{name}') for d in dirs]\".format(varName=varName, name=name))"
0314 ]
0315 },
0316 {
0317 "cell_type": "code",
0318 "execution_count": 20,
0319 "metadata": {},
0320 "outputs": [],
0321 "source": [
0322 "canvas1 = ROOT.TCanvas('canvas1', 'canvas1', 350, 350)\n",
0323 "\n",
0324 "canvas2 = ROOT.TCanvas('canvas2', 'canvas2', 700, 350)\n",
0325 "canvas2.Divide(2)\n",
0326 "\n",
0327 "def draw_hist(hist, log=False):\n",
0328 " canvas1.cd().SetLogy(log)\n",
0329 " hist.SetStats(False)\n",
0330 " hist.Draw()\n",
0331 " canvas1.Draw()\n",
0332 " \n",
0333 "def draw_hists(hists, log=False, opt=''):\n",
0334 " if 'true MC' not in hists[0].GetTitle():\n",
0335 " hists[0].SetTitle(hists[0].GetTitle() + ' (true MC)')\n",
0336 " if 'smear' not in hists[1].GetTitle():\n",
0337 " hists[1].SetTitle(hists[1].GetTitle() + ' (smeared)')\n",
0338 " for i in range(2):\n",
0339 " if opt=='same':\n",
0340 " hists[i].SetLineColor(ROOT.kRed)\n",
0341 " canvas2.cd(i+1).SetLogy(log)\n",
0342 " hists[i].SetStats(False)\n",
0343 " hists[i].Draw(opt)\n",
0344 " canvas2.Draw()"
0345 ]
0346 },
0347 {
0348 "cell_type": "code",
0349 "execution_count": 21,
0350 "metadata": {},
0351 "outputs": [
0352 {
0353 "data": {
0354 "text/html": [
0355 "\n",
0356 "<div id=\"root_plot_6\"\n",
0357 " style=\"width: 346px; height: 322px\">\n",
0358 "</div>\n",
0359 "\n",
0360 "<script>\n",
0361 " requirejs.config({\n",
0362 " paths: {\n",
0363 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0364 " }\n",
0365 " });\n",
0366 " require(['JSRootCore'],\n",
0367 " function(Core) {\n",
0368 " var obj = 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0369 " Core.draw(\"root_plot_6\", obj, \"\");\n",
0370 " }\n",
0371 " );\n",
0372 "</script>\n"
0373 ],
0374 "text/plain": [
0375 "<IPython.core.display.HTML object>"
0376 ]
0377 },
0378 "metadata": {},
0379 "output_type": "display_data"
0380 }
0381 ],
0382 "source": [
0383 "d0_pt[0].SetXTitle('[GeV]')\n",
0384 "draw_hist(d0_pt[0])"
0385 ]
0386 },
0387 {
0388 "cell_type": "code",
0389 "execution_count": 22,
0390 "metadata": {
0391 "scrolled": true
0392 },
0393 "outputs": [
0394 {
0395 "data": {
0396 "text/html": [
0397 "\n",
0398 "<div id=\"root_plot_7\"\n",
0399 " style=\"width: 696px; height: 322px\">\n",
0400 "</div>\n",
0401 "\n",
0402 "<script>\n",
0403 " requirejs.config({\n",
0404 " paths: {\n",
0405 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0406 " }\n",
0407 " });\n",
0408 " require(['JSRootCore'],\n",
0409 " function(Core) {\n",
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0411 " Core.draw(\"root_plot_7\", obj, \"\");\n",
0412 " }\n",
0413 " );\n",
0414 "</script>\n"
0415 ],
0416 "text/plain": [
0417 "<IPython.core.display.HTML object>"
0418 ]
0419 },
0420 "metadata": {},
0421 "output_type": "display_data"
0422 }
0423 ],
0424 "source": [
0425 "def expo(x, par):\n",
0426 " return math.exp(par[0] + x[0]*par[1])\n",
0427 "\n",
0428 "\n",
0429 "def gaus(x, par):\n",
0430 " if par[2]==0:\n",
0431 " return 0\n",
0432 " return par[0]*math.exp(-0.5*math.pow(((x[0]-par[1])/par[2]),2))\n",
0433 "\n",
0434 "\n",
0435 "def gausPlusExpo(x, par):\n",
0436 " if par[4]==0:\n",
0437 " return 0\n",
0438 " return math.exp(par[0] + x[0]*par[1]) + par[2]*math.exp(-0.5*math.pow(((x[0]-par[3])/par[4]),2))\n",
0439 "\n",
0440 "\n",
0441 "fit_func = ROOT.TF1('fit_func', gausPlusExpo, 1.7, 2.4, 5)\n",
0442 "tf_expo = ROOT.TF1('tf_expo', expo, 1.7, 2.4, 2)\n",
0443 "tf_gaus = ROOT.TF1('tf_gaus', gaus, 1.7, 2.4, 3)\n",
0444 "\n",
0445 "\n",
0446 "fit_func.SetParameter(0, 12)\n",
0447 "fit_func.SetParameter(1, -1.5)\n",
0448 "\n",
0449 "fit_func.SetParameter(2, 2e4)\n",
0450 "fit_func.SetParameter(3, 1.87)\n",
0451 "fit_func.SetParameter(4, 0.01)\n",
0452 "\n",
0453 "fit_func.SetParLimits(2, 1e4, 5e4)\n",
0454 "fit_func.SetParLimits(3, 1.85, 1.89)\n",
0455 "\n",
0456 "if 'true MC' not in d0_mass[0].GetTitle():\n",
0457 " d0_mass[0].SetTitle(d0_mass[0].GetTitle() + ' (true MC)')\n",
0458 "if 'smear' not in d0_mass[1].GetTitle():\n",
0459 " d0_mass[1].SetTitle(d0_mass[1].GetTitle() + ' (smeared)')\n",
0460 "\n",
0461 "canvas2.cd(1).SetLogy(False)\n",
0462 "d0_mass[0].SetStats(False)\n",
0463 "d0_mass[0].SetXTitle('[GeV]')\n",
0464 "d0_mass[0].Draw()\n",
0465 "\n",
0466 "canvas2.cd(2).SetLogy(False)\n",
0467 "d0_mass[1].Fit(fit_func, 'BQR')\n",
0468 "d0_mass[1].SetMarkerStyle(8)\n",
0469 "d0_mass[1].SetMarkerSize(0.7)\n",
0470 "d0_mass[1].SetStats(False)\n",
0471 "d0_mass[1].SetXTitle('[GeV]')\n",
0472 "d0_mass[1].Draw('p')\n",
0473 "\n",
0474 "fit_parameters = fit_func.GetParameters()\n",
0475 "tf_expo.SetParameters(fit_parameters)\n",
0476 "\n",
0477 "tf_expo.SetLineColor(ROOT.kAzure+7)\n",
0478 "tf_expo.Draw('same')\n",
0479 "\n",
0480 "legend = ROOT.TLegend(0.5,0.65,0.87,0.87);\n",
0481 "legend.AddEntry(d0_mass[1],\"Data\",\"p\");\n",
0482 "legend.AddEntry(tf_expo,\"Fit: background\",\"l\");\n",
0483 "legend.AddEntry(tf_gaus,\"Fit: D^{0}\",\"l\");\n",
0484 "legend.Draw()\n",
0485 "\n",
0486 "canvas2.Draw()"
0487 ]
0488 },
0489 {
0490 "cell_type": "code",
0491 "execution_count": 23,
0492 "metadata": {
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0494 },
0495 "outputs": [
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0497 "data": {
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0499 "\n",
0500 "<div id=\"root_plot_8\"\n",
0501 " style=\"width: 346px; height: 322px\">\n",
0502 "</div>\n",
0503 "\n",
0504 "<script>\n",
0505 " requirejs.config({\n",
0506 " paths: {\n",
0507 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0508 " }\n",
0509 " });\n",
0510 " require(['JSRootCore'],\n",
0511 " function(Core) {\n",
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0513 " Core.draw(\"root_plot_8\", obj, \"\");\n",
0514 " }\n",
0515 " );\n",
0516 "</script>\n"
0517 ],
0518 "text/plain": [
0519 "<IPython.core.display.HTML object>"
0520 ]
0521 },
0522 "metadata": {},
0523 "output_type": "display_data"
0524 }
0525 ],
0526 "source": [
0527 "dst_pt[0].SetXTitle('[GeV]')\n",
0528 "draw_hist(dst_pt[0])"
0529 ]
0530 },
0531 {
0532 "cell_type": "code",
0533 "execution_count": 24,
0534 "metadata": {},
0535 "outputs": [
0536 {
0537 "data": {
0538 "text/html": [
0539 "\n",
0540 "<div id=\"root_plot_9\"\n",
0541 " style=\"width: 696px; height: 322px\">\n",
0542 "</div>\n",
0543 "\n",
0544 "<script>\n",
0545 " requirejs.config({\n",
0546 " paths: {\n",
0547 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0548 " }\n",
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0553 " Core.draw(\"root_plot_9\", obj, \"\");\n",
0554 " }\n",
0555 " );\n",
0556 "</script>\n"
0557 ],
0558 "text/plain": [
0559 "<IPython.core.display.HTML object>"
0560 ]
0561 },
0562 "metadata": {},
0563 "output_type": "display_data"
0564 }
0565 ],
0566 "source": [
0567 "dst_dm[0].SetXTitle('[GeV]')\n",
0568 "dst_dm[1].SetXTitle('[GeV]')\n",
0569 "draw_hists(dst_dm)"
0570 ]
0571 },
0572 {
0573 "cell_type": "markdown",
0574 "metadata": {},
0575 "source": [
0576 "#### Cut:\n",
0577 "$Mass(D^{0})\\in\\left[1.79;1.93\\right] $"
0578 ]
0579 },
0580 {
0581 "cell_type": "code",
0582 "execution_count": 25,
0583 "metadata": {},
0584 "outputs": [
0585 {
0586 "data": {
0587 "text/html": [
0588 "\n",
0589 "<div id=\"root_plot_10\"\n",
0590 " style=\"width: 696px; height: 322px\">\n",
0591 "</div>\n",
0592 "\n",
0593 "<script>\n",
0594 " requirejs.config({\n",
0595 " paths: {\n",
0596 " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
0597 " }\n",
0598 " });\n",
0599 " require(['JSRootCore'],\n",
0600 " function(Core) {\n",
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0616 "dst_dm_mcut[0].SetXTitle('[GeV]')\n",
0617 "dst_dm_mcut[1].SetXTitle('[GeV]')\n",
0618 "draw_hists(dst_dm_mcut)"
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