Toward a public analysis database for LHC new physics searches using MADANALYSIS 5
By B. Dumont, B. Fuks, Sabine Kraml, S. Bein, G. Chalons, É. Conte, S. Kulkarni, D. Sengupta, C. Wymant. 2014
211 citations recorded by the source corpus.
We present the implementation, in the MadAnalysis 5 framework, of several ATLAS and CMS searches for supersymmetry in data recorded during the first run of the LHC. We provide extensive details on the validation of our implementations and propose to create a public analysis database within this framework.
Subfields: Artificial Intelligence, Computer Networks and Communications, Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/2bcb1cc7b5c87eacda5e6d80b480842e6ce38890
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In Artificial Intelligence
- M. Drewes
- É. Conte
- E. Salvioni
- M. Ramsey-Musolf
- N. Craig
- P. Schuster
- D. Curtin
- Vladimir Vava Gligorov
In Computer Networks and Communications
- M. Drewes
- Benjamin Fuks
- É. Conte
- G. Lanfranchi
- N. Craig
- Andrea De Simone
- Michael J. Reece
- Benjamin Nachman
In Nuclear and High Energy Physics
- Atlas Collaboration
- Benjamin Fuks
- É. Conte
- D. Curtin
- Michael J. Reece
- N. Craig
- Benjamin Nachman
- F. Kling
Citations in the corpus
- Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider (2019, methodology): “from multiple third-party tools such as Rivet BSM, CheckMate or MadAnalysis [488, 489] as well as from multiple Figure 85.”
- Collider limits on new physics within micrOMEGAs4.3 (2016, unknown): “When the underlying assumptions that enter the simplified models interpretation are too restrictive to probe some parameter space of a model, more comprehensive recasting codes such as CheckMate [26,27] or MadAnalysis 5 [28,29], should be used instead.”