Software digitizer for high granular gaseous detector

TL;DR

This paper presents a novel digitization method for high-granularity gaseous detectors, accurately simulating pad response and validating it against test beam data to enhance particle flow calorimetry.

Contribution

A new general digitization approach for gaseous detectors that accurately reproduces efficiency and multiplicity using high-granularity simulation data.

Findings

High-precision reproduction of efficiency and multiplicity.

Validation against test beam data shows high accuracy.

Applicable to various gaseous detector types.

Abstract

A sampling calorimeter equipped with gaseous sensor layers with digital readout is near perfect for "Particle Flow Algorithm" approach, since it is homogeneous over large surfaces, robust, cost efficient, easily segmentable to any readout pad dimension and size and almost insensitive to neutrons. The response of a finely segmented digital calorimeter is characterized by track efficiency and multiplicity. Monte Carlo (MC) programs such as GEANT4 simulate with high precision the energy deposited by particles. The sensor and electronic response associated to a pad are calculated in a separate "digitization" process. We developed a general method for simulating the pad response, a digitization, reproducing efficiency and multiplicity, using the spatial information from a simulation done at higher granularity. The digitization method proposed here has been applied to gaseous detectors including Glass Resistive Plate Chambers (GRPC) and MicroMegas. Validating the method on test beam data, experimental observables such as efficiency, multiplicity and mean number of hits at different thresholds have been reproduced with high precision.