Estimation of Lateral Distribution Function in Extensive Air Showers by Using AIRES Simulation System

TL;DR

This paper uses AIRES simulation system to estimate the lateral distribution function in extensive air showers across various energies, primary particles, and hadronic models, aiding in particle type and energy reconstruction.

Contribution

It introduces a simulation-based method for estimating the lateral distribution function in extensive air showers using AIRES with multiple hadronic models and primary particles.

Findings

Lateral distribution functions vary with primary particle type and energy.

Simulations cover energies from 10^15 to 10^19 eV.

Results can improve particle identification and energy estimation.

Abstract

In this work the estimation of the lateral distribution function in Extensive Air showers was performed by using a system for air shower simulations which is called AIRES version 2.6 for different hadronic models like (QGSJET99, SIBYLL and SIBYLL1.6). The simulation was fulfilled in the high energy range (10^15-10^19 eV) for different primary particles like (gamma, protons and iron nuclei) for vertical showers. This simulation can be used to reconstruct the type and energy of the particle that generated Extensive Air showers for charged particles that registered with different arrays.