# ColliderBit: a GAMBIT module for the calculation of high-energy collider   observables and likelihoods

**Authors:** Csaba Bal\'azs, Andy Buckley, Lars A. Dal, Ben Farmer, Paul Jackson,, Abram Krislock, Anders Kvellestad, Daniel Murnane, Antje Putze, Are Raklev,, Christopher Rogan, Aldo Saavedra, Pat Scott, Christoph Weniger, Martin White

arXiv: 1705.07919 · 2020-08-19

## TL;DR

ColliderBit is a versatile, parallelized tool integrated into GAMBIT for calculating collider observables and likelihoods in BSM theories, enabling efficient analysis of LHC and LEP data.

## Contribution

It introduces a new, flexible, and scalable code module for collider observable calculations within GAMBIT, combining novel features with existing tools.

## Key findings

- Supports a wide range of BSM signatures analyzed by ATLAS and CMS
- Provides likelihood calculations for Higgs and LEP BSM searches
- Enables large-scale supercomputer applications for collider data analysis

## Abstract

We describe ColliderBit, a new code for the calculation of high energy collider observables in theories of physics beyond the Standard Model (BSM). ColliderBit features a generic interface to BSM models, a unique parallelised Monte Carlo event generation scheme suitable for large-scale supercomputer applications, and a number of LHC analyses, covering a reasonable range of the BSM signatures currently sought by ATLAS and CMS. ColliderBit also calculates likelihoods for Higgs sector observables, and LEP searches for BSM particles. These features are provided by a combination of new code unique to ColliderBit, and interfaces to existing state-of-the-art public codes. ColliderBit is both an important part of the GAMBIT framework for BSM inference, and a standalone tool for efficiently applying collider constraints to theories of new physics.

## Full text

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## Figures

19 figures with captions in the complete paper: https://tomesphere.com/paper/1705.07919/full.md

## References

112 references — full list in the complete paper: https://tomesphere.com/paper/1705.07919/full.md

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Source: https://tomesphere.com/paper/1705.07919