A new scanner package combines a similarity-learning neural network with VEGAS adaptive sampling to collect valid points in BSM parameter scans faster than earlier ML-based methods.
Introduction to Markov Chain Monte Carlo Simulations and their Statistical Analysis
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abstract
This article is a tutorial on Markov chain Monte Carlo simulations and their statistical analysis. The theoretical concepts are illustrated through many numerical assignments from the author's book on the subject. Computer code (in Fortran) is available for all subjects covered and can be downloaded from the web.
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hep-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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DLScanner: A parameter space scanner package assisted by deep learning methods
A new scanner package combines a similarity-learning neural network with VEGAS adaptive sampling to collect valid points in BSM parameter scans faster than earlier ML-based methods.