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126 lines
2.3 KiB
126 lines
2.3 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Test Histogramm Fitting in pyROOT"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import math\n",
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"#import ROOT\n",
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"from ROOT import TCanvas, TFile, TProfile, TNtuple, TH1D, TH2D, TF1 \n",
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"from ROOT import gROOT, gBenchmark, gRandom, gSystem"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"Read data previously used from text file and put it in a numpy array"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"data = np.genfromtxt('D0Mass.txt', dtype='d')\n",
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"print(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Create histogramm and draw"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"d0 = TH1D( 'd0', 'D0 Mass ', 200, 1700. , 2000. )\n",
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"for x in data :\n",
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" d0.Fill(x)\n",
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"c = TCanvas( 'myC', 'Dynamic Filling Example',700, 500 )\n",
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"d0.Draw()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"To display the notebook draw the canvas."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# %jsroot on\n",
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"c.Draw()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"perform Fit"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"func = TF1(\"func\", 'gaus', 1840. , 1880.)\n",
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"myfit = d0.Fit(func,\"S\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"c.Draw()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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