EasyScan_HEP: a tool for connecting programs to scan the parameter space of physics models
Liangliang Shang, Yang Zhang

TL;DR
EasyScan_HEP is a flexible and user-friendly tool that connects various programs to efficiently scan the parameter space of High Energy Physics models using multiple sampling algorithms.
Contribution
It introduces a versatile framework that simplifies connecting different programs and applying constraints for parameter scans in HEP models.
Findings
Supports multiple sampling algorithms including MCMC and MultiNest
Features resume, parallelization, and post-processing capabilities
Enhances usability with human-readable configuration files
Abstract
We present an application, EasyScan_HEP, for connecting programs to scan the parameter space of High Energy Physics (HEP) models using various sampling algorithms. We develop EasyScan_HEP according to the principle of flexibility and usability. EasyScan_HEP allows us to connect different programs that calculate physical observables, and apply constraints by one human-readable configuration file. All programs executed through command lines can be connected to EasyScan_HEP by setting input and output parameters of the programs. The current version offers the sampling algorithms of Random, Grid, Markov chain Monte Carlo and MultiNest. We also implement features such as resume function, parallelization, post-processing, and quick analysis.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Computational Physics and Python Applications · Advanced Data Storage Technologies
