Run Dependent Monte Carlo at Belle II

TL;DR

This paper introduces a run-dependent Monte Carlo simulation method for Belle II that models time-varying detector conditions and backgrounds, improving accuracy over traditional methods in flavor physics measurements.

Contribution

The paper presents a novel run-dependent Monte Carlo approach that incorporates time-dependent detector and background conditions for Belle II, enhancing simulation precision.

Findings

Improved modeling of detector conditions over time.

Enhanced accuracy in physics measurements.

Better background representation in simulations.

Abstract

The Belle II experiment at the SuperKEKB accelerator in Tsukuba, Japan, searches for physics beyond the Standard Model, with a focus on precise measurements of flavor physics observables. Highly accurate Monte Carlo simulations are essential for this endeavor, as they must correctly model the variations in detector conditions and beam backgrounds that occur during data collection. To meet this requirement, the "run-dependent" Monte Carlo has been developed. This approach incorporates time-dependent detector conditions and beam-induced backgrounds collected via random triggers, allowing for different conditions with a granularity of just a few hours. In this document, we will discuss the procedures and challenges associated with producing run-dependent Monte Carlo simulations for Belle II. We will also highlight the improvements these simulations offer over traditional "run-independent" Monte Carlo methods.