$\texttt{HEPfit}$: a Code for the Combination of Indirect and Direct Constraints on High Energy Physics Models

Bibliographic Details
Title: $\texttt{HEPfit}$: a Code for the Combination of Indirect and Direct Constraints on High Energy Physics Models
Authors: de Blas, Jorge, Chowdhury, Debtosh, Ciuchini, Marco, Coutinho, Antonio M., Eberhardt, Otto, Fedele, Marco, Franco, Enrico, di Cortona, Giovanni Grilli, Miralles, Victor, Mishima, Satoshi, Paul, Ayan, Penuelas, Ana, Pierini, Maurizio, Reina, Laura, Silvestrini, Luca, Valli, Mauro, Watanabe, Ryoutaro, Yokozaki, Norimi
Publication Year: 2019
Collection: High Energy Physics - Experiment
High Energy Physics - Phenomenology
Subject Terms: High Energy Physics - Phenomenology, High Energy Physics - Experiment
More Details: $\texttt{HEPfit}$ is a flexible open-source tool which, given the Standard Model or any of its extensions, allows to $\textit{i)}$ fit the model parameters to a given set of experimental observables; $\textit{ii)}$ obtain predictions for observables. $\texttt{HEPfit}$ can be used either in Monte Carlo mode, to perform a Bayesian Markov Chain Monte Carlo analysis of a given model, or as a library, to obtain predictions of observables for a given point in the parameter space of the model, allowing $\texttt{HEPfit}$ to be used in any statistical framework. In the present version, around a thousand observables have been implemented in the Standard Model and in several new physics scenarios. In this paper, we describe the general structure of the code as well as models and observables implemented in the current release.
Comment: 43 pages 5 figures
Document Type: Working Paper
DOI: 10.1140/epjc/s10052-020-7904-z
Access URL: http://arxiv.org/abs/1910.14012
Accession Number: edsarx.1910.14012
Database: arXiv
More Details
DOI:10.1140/epjc/s10052-020-7904-z