# B-tagging and searches for new physics beyond the Standard Model

## TL;DR

This paper investigates the use of b-tagging algorithms to search for new particles beyond the Standard Model, analyzing efficiency dependencies and optimizing selection criteria using simulation tools.

## Contribution

It introduces optimized kinematic selection criteria for b-tagging to improve heavy particle vertex reconstruction in searches for new physics.

## Key findings

- Identified key factors affecting b-tagging efficiency.
- Developed optimized kinematic cuts for better vertex reconstruction.
- Enhanced methods for detecting new particles beyond the Standard Model.

## Abstract

The article is devoted to the searches for new particles predicted by physics beyond the Standard Model through the b-tagging algorithm. The dependence of b-tagging efficiency on the jet identification, impact parameter identification, secondary vertex identification, kinematic cuts is studied with the help of computer programs Pythia 8.2 and Fastjet 3.3.0. The selection criteria for kinematic parameters, their ratios for an optimal result on the reconstruction of the vertices of heavy particles are found.