The use of cosmic muons in detecting heterogeneities in large volumes

TL;DR

This paper analyzes the muon intensity attenuation method for detecting heterogeneities in large volumes, providing analytical expressions validated by simulations to estimate collection time, signal-to-noise ratio, and other key parameters.

Contribution

It introduces approximate analytical formulas for key detection parameters and validates them through Monte Carlo simulations, advancing the methodology for muon-based heterogeneity detection.

Findings

Analytical expressions accurately estimate collection time and SNR.

Monte Carlo simulations validate the impact of parameters like point spread function.

Key parameters such as coordinate uncertainty are quantified.

Abstract

The muon intensity attenuation method to detect heterogeneities in large matter volumes is analyzed. Approximate analytical expressions to estimate the collection time and the signal to noise ratio, are proposed and validated by Monte Carlo simulations. Important parameters, including point spread function and coordinate reconstruction uncertainty are also estimated using Monte Carlo simulations.