Belle Computing System

TL;DR

The paper details the current status and efficiency of the Belle experiment's computing system, which manages large data and Monte Carlo simulations for particle physics analysis at KEKB.

Contribution

It presents the computing model and methods for efficient data and Monte Carlo production in the Belle experiment.

Findings

Processed over 160 fb$^{-1}$ of data, the largest at the time.

Developed stable and efficient computing resource usage.

Optimized data processing for timely analysis and systematic error control.

Abstract

We describe the present status of the computing system in the Belle experiment at the KEKB $e^+e^-$ asymmetric-energy collider. So far, we have logged more than 160 fb$^{-1}$ of data, corresponding to the world's largest data sample of 170M $B\bar{B}$ pairs at the $\Upsilon(4S)$ energy region. A large amount of event data has to be processed to produce an analysis event sample in a timely fashion. In addition, Monte Carlo events have to be created to control systematic errors accurately. This requires stable and efficient usage of computing resources. Here we review our computing model and then describe how we efficiently proceed DST/MC productions in our system.