Analysis of programming tools in framework of dark matter physics and concept of new MC-generator

TL;DR

This paper evaluates existing Monte Carlo generators for dark matter research, highlighting their limitations and introducing a new generator tailored for cosmic ray analysis in dark matter studies.

Contribution

The paper introduces a novel Monte Carlo generator specifically designed for dark matter interpretation of cosmic ray data, addressing gaps in existing tools.

Findings

Existing MC-generators do not fully meet dark matter analysis needs.

The proposed generator offers improved capabilities for gamma-ray suppression tasks.

Comparison shows the new generator outperforms existing tools in relevant applications.

Abstract

We analyse here some programming tools (MC-generators) from viewpoint of their application to the tasks of dark matter (DM) interpretation of cosmic rays puzzles. We shortly describe our tasks, where the main goal is the solution of the problem of suppression of gamma-rays induced by the products of DM decay or annihilation in Galaxy. We show that existing MC-generators do not fully satisfy our task, comparing them, and suggest our own one.