# Capability of using the normalizing flows for extraction rare gamma events in the TAIGA experiment

arXiv: https://arxiv.org/abs/2510.20334 · HTML: https://mlsanity.com/paper/2510.20334/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 3 references that are in the map.
- First posted on arXiv 23 Oct 2025.

## Builds on (most cited first, 2 of 2)

- [Density estimation using Real NVP](https://mlsanity.com/paper/1605.08803/) (2016)
- [FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows](https://mlsanity.com/paper/2111.07677/) (2021)

## Abstract (arXiv)

The objective of this work is to develop a method for detecting rare gamma quanta against the background of charged particles in the fluxes from sources in the Universe with the help of the deep learning and normalizing flows based method designed for anomaly detection. It is shown that the suggested method has a potential for the gamma detection. The method was tested on model data from the TAIGA-IACT experiment. The obtained quantitative performance indicators are still inferior to other approaches, and therefore possible ways to improve the implementation of the method are proposed.