Journal
EUROPEAN PHYSICAL JOURNAL C
Volume 77, Issue 11, Pages -Publisher
SPRINGER
DOI: 10.1140/epjc/s10052-017-5321-8
Keywords
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Categories
Funding
- STFC (UK) [ST/K00414X/1, ST/P000762/1]
- Royal Society (UK) [UF110191]
- Glasgow University (UK)
- Research Council of Norway [FRIPRO 230546/F20]
- NOTUR (Norway) [NN9284K]
- Knut and Alice Wallenberg Foundation (Sweden)
- Swedish Research Council [621-2014-5772]
- Australian Research Council [CE110001004, FT130100018, FT140100244, FT160100274]
- University of Sydney (Australia) [IRCA-G162448]
- PLGrid Infrastructure (Poland)
- Polish National Science Center (Sonata) [UMO-2015/17/D/ST2/03532]
- Swiss National Science Foundation [PP00P2-144674]
- European Commission Horizon 2020 (Marie Sklodowska-Curie actions) [H2020-MSCA-RISE-2015-691164]
- European Research Council Starting Grant [ERC-2014-STG-638528]
- ERA-CAN+ Twinning Program (EU Canada)
- Netherlands Organisation for Scientific Research (NWO-Vidi) [016.149.331]
- National Science Foundation (USA) [DGE-1339067]
- FRQNT (Quebec)
- NSERC/The Canadian Tri-Agencies Research Councils [BPDF-424460-2012]
- Knut and Alice Wallenberg Foundation (Wallenberg Academy Fellowship)
- STFC [ST/P000762/1, ST/K00414X/1, ST/N000838/1] Funding Source: UKRI
- Australian Research Council [FT130100018] Funding Source: Australian Research Council
- Science and Technology Facilities Council [ST/P000762/1, ST/N000838/1, ST/K00414X/1] Funding Source: researchfish
- Royal Society [UF110191] Funding Source: Royal Society
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We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present flrst GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org.
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