# Shower it again, Pythia

## TL;DR

This paper investigates the systematic uncertainties in large-radius jet substructure variables by applying the Pythia parton-shower algorithm multiple times to the same configuration, focusing on boosted Higgs and top decays.

## Contribution

It introduces a method to estimate uncertainties in jet substructure by reapplying the Pythia shower algorithm, providing a new tool for more accurate analyses.

## Key findings

- Quantifies the stochastic uncertainty in jet substructure variables.
- Demonstrates the method on boosted Higgs and top decays.
- Provides publicly available code for reproducibility.

## Abstract

The Parton-Shower algorithm implement in the Pythia generator is applied multiple times to the same parton-level configuration to estimate the systematic uncertainty affecting large-radius jet substructure variables associated with the stochastic nature of the algorithm. Results are presented in the case of boosted $h\rightarrow b\bar{b}$ and $t\rightarrow bqq$. The code is publicly available on the repository https://github.com/rdisipio/ReShower.git