# Muon tagging on the Backend-Electronics of CHEC-S -- a compact high-energy camera for the Cherenkov Telescope Array

## TL;DR

This paper presents a novel muon tagging technique implemented in the back-end electronics of the CHEC-S camera for the Cherenkov Telescope Array, enhancing muon detection capabilities for high-energy gamma-ray observations.

## Contribution

It introduces a new muon tagging method utilizing CHEC-S back-end electronics, comparing algorithms like circle fitting, machine learning, and pixel counting.

## Key findings

- Muon tagging performance is validated with promising results.
- The technique improves muon detection efficiency.
- Potential applications for other CTA telescope types.

## Abstract

The Cherenkov Telescope Array (CTA) will be the leading ground-base observatory for Very High Energy (VHE) {\gamma}-ray astronomy for the next decades. Its southern site will host about 70 Small Sized Telescopes (SSTs) which will determine the CTA sensitivity at {\gamma}-ray energies between 1 and 300 TeV. One of the design options for the SST cameras is the silicon photomultiplier-based Compact High-Energy Camera (CHEC-S). The back-end electronics (BEE) of CHEC-S interconnects the camera front-end modules, provides power and clock distribution, aggregation, routing and time stamping of data and most importantly it implements the camera trigger system. A novel technique to tag muons using the capabilities of this system has been developed, studying and comparing different algorithms such as circle fitting, machine learning and simple pixel counting. This contribution describes the design of the CHEC-S BEE, and presents the results of the performance of this muon tagger and the prospects of using it for other Cherenkov Telescopes types of CTA.