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Quantum Optimization Approach for Particle Density Analysis in High Energy Physics Experiments

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Explore the Quantum Optimization approach for analyzing particle density in high energy physics experiments, focusing on semi-inclusive events and multiplicity distributions. This study provides a functional model for generating and parametrizing particle densities, offering approximate solutions for data analysis at the LHC.

Quantum Optimization Approach for Particle Density Analysis in High Energy Physics Experiments

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Presentation Transcript

1.Introduction
2.QO approach in semi-inclusive events

3.Generating functional for semi-inclusive events

5.Particle densities at fixed multiplicity

6.Multiplicity distribution in the QO approach
7.Parametrization

8.Approximate solution for MD

9.Analysis of the data
LHC pp 900 GeV (NSD) ALICE
10.Concluding remarks

1. Introduction

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Quantum Optimization Approach for Particle Density Analysis in High Energy Physics Experiments

Quantum Optimization Approach for Particle Density Analysis in High Energy Physics Experiments

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1. Introduction

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Introduction 1

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INTRODUCTION (1)

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1 INTRODUCTION

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