# Shape-based event pileup separation in Troitsk nu-mass experiment

## TL;DR

This paper introduces algorithms for separating overlapping signals based on pulse shape, addressing the challenge of high count rate pileup in experimental physics, demonstrated through the Troitsk nu-mass experiment.

## Contribution

It presents novel shape-based algorithms for event separation in high count rate scenarios, specifically applied to the Troitsk nu-mass experiment.

## Key findings

- Effective separation of overlapping signals demonstrated
- Algorithms improve event detection accuracy
- Applicable to high-rate experimental data

## Abstract

Nowadays continuous signal digitization becomes a standard procedure in experimental physics. Though, signal pileup separation at high count rate remains a problem. The article presents algorithms for detecting and extracting events based on shape of a single pulse. An example of applied use of the described algorithms is also given on the example of the Troitsk nu-mass experiment.