{
"cells": [
{
"cell_type": "markdown",
"id": "f8c58f0f",
"metadata": {},
"source": [
"# hsumTimer\n",
"Demo of Timers.\n",
"\n",
"Simple example illustrating how to use the C++ interpreter\n",
"to fill histograms in a loop and show the graphics results\n",
"This program is a variant of the tutorial \"hsum\".\n",
"It illustrates the use of Timers.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Rene Brun \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, March 19, 2024 at 07:11 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "8ec919f2",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:29.873745Z",
"iopub.status.busy": "2024-03-19T19:11:29.873343Z",
"iopub.status.idle": "2024-03-19T19:11:30.620614Z",
"shell.execute_reply": "2024-03-19T19:11:30.614493Z"
}
},
"outputs": [],
"source": [
"Float_t progressRatio = 0.;\n",
"TSlider *slider = nullptr;\n",
"TCanvas *c1 = nullptr;"
]
},
{
"cell_type": "markdown",
"id": "280982d8",
"metadata": {},
"source": [
" Definition of a helper function: "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "77834dde",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:30.631107Z",
"iopub.status.busy": "2024-03-19T19:11:30.630675Z",
"iopub.status.idle": "2024-03-19T19:11:30.701527Z",
"shell.execute_reply": "2024-03-19T19:11:30.700168Z"
}
},
"outputs": [],
"source": [
"%%cpp -d\n",
"void hsumUpdate()\n",
"{\n",
"// called when Timer times out\n",
" if (slider) slider->SetRange(0., progressRatio);\n",
" c1->Modified();\n",
" c1->Update();\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "4e90c24f",
"metadata": {},
"source": [
" Arguments are defined. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c78518e7",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:30.717958Z",
"iopub.status.busy": "2024-03-19T19:11:30.717331Z",
"iopub.status.idle": "2024-03-19T19:11:30.992303Z",
"shell.execute_reply": "2024-03-19T19:11:30.967856Z"
}
},
"outputs": [],
"source": [
"Int_t nfill=100000;"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "1890247f",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:31.024158Z",
"iopub.status.busy": "2024-03-19T19:11:31.023739Z",
"iopub.status.idle": "2024-03-19T19:11:31.249905Z",
"shell.execute_reply": "2024-03-19T19:11:31.248808Z"
}
},
"outputs": [],
"source": [
"c1 = new TCanvas(\"c1\",\"The HSUM example\",200,10,600,400);\n",
"c1->SetGrid();"
]
},
{
"cell_type": "markdown",
"id": "d0166f7f",
"metadata": {},
"source": [
"Create some histograms."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "50c886da",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:31.254477Z",
"iopub.status.busy": "2024-03-19T19:11:31.254095Z",
"iopub.status.idle": "2024-03-19T19:11:31.681257Z",
"shell.execute_reply": "2024-03-19T19:11:31.679427Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"auto total = new TH1F(\"total\",\"This is the total distribution\",100,-4,4);\n",
"auto main = new TH1F(\"main\",\"Main contributor\",100,-4,4);\n",
"auto s1 = new TH1F(\"s1\",\"This is the first signal\",100,-4,4);\n",
"auto s2 = new TH1F(\"s2\",\"This is the second signal\",100,-4,4);\n",
"total->Sumw2(); // store the sum of squares of weights\n",
"total->SetMarkerStyle(21);\n",
"total->SetMarkerSize(0.7);\n",
"main->SetFillColor(16);\n",
"s1->SetFillColor(42);\n",
"s2->SetFillColor(46);\n",
"total->SetMaximum(nfill/20.);\n",
"total->Draw(\"e1p\");\n",
"main->Draw(\"same\");\n",
"s1->Draw(\"same\");\n",
"s2->Draw(\"same\");\n",
"c1->Update();\n",
"\n",
"slider = new TSlider(\"slider\",\"test\",4.2,0,4.6,0.8*total->GetMaximum(),38);\n",
"slider->SetFillColor(46);"
]
},
{
"cell_type": "markdown",
"id": "0a5c45f0",
"metadata": {},
"source": [
"Create a TTimer (hsumUpdate called every 300 msec)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9788b1d9",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:31.707280Z",
"iopub.status.busy": "2024-03-19T19:11:31.706832Z",
"iopub.status.idle": "2024-03-19T19:11:31.933969Z",
"shell.execute_reply": "2024-03-19T19:11:31.931667Z"
}
},
"outputs": [],
"source": [
"TTimer timer(\"hsumUpdate()\",300);\n",
"timer.TurnOn();"
]
},
{
"cell_type": "markdown",
"id": "0e256677",
"metadata": {},
"source": [
"Fill histograms randomly"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "62897317",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:31.942140Z",
"iopub.status.busy": "2024-03-19T19:11:31.941767Z",
"iopub.status.idle": "2024-03-19T19:11:32.308803Z",
"shell.execute_reply": "2024-03-19T19:11:32.307000Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Float_t xs1, xs2, xmain;\n",
"gRandom->SetSeed();\n",
"for (Int_t i=0; iProcessEvents()) break;\n",
" xmain = gRandom->Gaus(-1,1.5);\n",
" xs1 = gRandom->Gaus(-0.5,0.5);\n",
" xs2 = gRandom->Landau(1,0.15);\n",
" main->Fill(xmain);\n",
" s1->Fill(xs1,0.3);\n",
" s2->Fill(xs2,0.2);\n",
" total->Fill(xmain);\n",
" total->Fill(xs1,0.3);\n",
" total->Fill(xs2,0.2);\n",
"}\n",
"timer.TurnOff();\n",
"hsumUpdate();"
]
},
{
"cell_type": "markdown",
"id": "7f4238cc",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "814d13bb",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:32.323741Z",
"iopub.status.busy": "2024-03-19T19:11:32.323332Z",
"iopub.status.idle": "2024-03-19T19:11:32.689967Z",
"shell.execute_reply": "2024-03-19T19:11:32.688708Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%jsroot on\n",
"gROOT->GetListOfCanvases()->Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ROOT C++",
"language": "c++",
"name": "root"
},
"language_info": {
"codemirror_mode": "text/x-c++src",
"file_extension": ".C",
"mimetype": " text/x-c++src",
"name": "c++"
}
},
"nbformat": 4,
"nbformat_minor": 5
}