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Efficient Data Visualization Using Java and Python in High-Energy Physics

Explore the powerful capabilities of the FreeHEP framework for data analysis in high-energy physics. This tutorial demonstrates how to create and visualize histograms and clouds of random data using both Java and Python. Learn to implement an analysis factory, create trees and histograms, and visualize the results with ease. The examples feature versatile plotting techniques, allowing users to compare and analyze data intuitively. Get started with high-energy physics data visualization by leveraging Java and Python skills.

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Efficient Data Visualization Using Java and Python in High-Energy Physics

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  1. Computational PhysicsJava Analysis Studio Dr. Guy Tel-Zur

  2. FreeHEP (High-Energy Physics) • http://jas.freehep.org/jas3/ • http://www.freehep.org/ • http://java.freehep.org/ • Demos: this laptop (but it gets hot), the other DELL laptop (Linux) under ~/Downloads/jas…

  3. Example 1 - Java

  4. import hep.aida.*; import java.util.Random; public class CreateAndPlotHistograms { public static void main(String[] argv) { IAnalysisFactoryaf = IAnalysisFactory.create(); ITree tree = af.createTreeFactory().create(); IHistogramFactoryhf = af.createHistogramFactory(tree); tree.mkdir("/Histograms"); tree.cd("/Histograms"); IHistogram1D h1 = hf.createHistogram1D("Histogram 1D",50,-3,3); IHistogram2D h2 = hf.createHistogram2D("Histogram 2D",40,-3,3,40,-3,3); tree.mkdir("/Clouds"); tree.cd("/Clouds"); ICloud1D c1 = hf.createCloud1D("Cloud 1D"); ICloud2D c2 = hf.createCloud2D("Cloud 2D"); IPlotter plotter = af.createPlotterFactory().create("CreateAndPlotHistograms.java plot");

  5. plotter.show(); plotter.createRegions(2,2); plotter.region(0).plot(h1); plotter.region(1).plot(h2); plotter.region(2).plot(c1); plotter.region(3).plot(c2); Random r = new Random(); for (int i = 0; i < 100000; i++ ) { h1.fill(r.nextGaussian()); h2.fill(r.nextGaussian(),r.nextGaussian()); c1.fill(r.nextGaussian()); c2.fill(r.nextGaussian(),r.nextGaussian()); } } }

  6. The same code in Python! from hep.aida import * from java.util import Random factory = IAnalysisFactory.create(); tree = factory.createTreeFactory().create(); hf = factory.createHistogramFactory(tree); tree.mkdir("/Histograms"); tree.cd("/Histograms"); h1 = hf.createHistogram1D("Histogram 1D",50,-3,3); h2 = hf.createHistogram2D("Histogram 2D",40,-3,3,40,-3,3); tree.mkdir("/Clouds"); tree.cd("/Clouds"); c1 = hf.createCloud1D("Cloud 1D"); c2 = hf.createCloud2D("Cloud 2D");

  7. plotter = factory.createPlotterFactory().create("CreateAndPlotHistograms.py plot"); plotter.show(); plotter.createRegions(2,2); plotter.region(0).plot(h1); plotter.region(1).plot(h2); plotter.region(2).plot(c1); plotter.region(3).plot(c2); r = Random() for i in range(100000): h1.fill(r.nextGaussian()) h2.fill(r.nextGaussian(),r.nextGaussian()) c1.fill(r.nextGaussian()) c2.fill(r.nextGaussian(),r.nextGaussian())

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