2019
DOI: 10.1007/jhep03(2019)191
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Axion global fits with Peccei-Quinn symmetry breaking before inflation using GAMBIT

Abstract: We present global fits of cosmologically stable axion-like particle and QCD axion models in the mass range 0.1 neV to 10 eV. We focus on the case where the Peccei-Quinn symmetry is broken before the end of inflation, such that the initial value of the axion field can be considered to be homogeneous throughout the visible Universe. We include detailed likelihood functions from light-shining-through-wall experiments, haloscopes, helioscopes, the axion relic density, horizontal branch stars, supernova 1987A, whit… Show more

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Cited by 52 publications
(81 citation statements)
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References 334 publications
(640 reference statements)
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“…The core GAMBIT software is written in C ++ 11, but interfaces seamlessly with extensions and existing physics codes written in Python, Mathematica, Fortran and C. Since the release of GAMBIT 1.0.0 in 2017 [110], the most notable updates have been versions 1.1 (adding support for Mathematica) [111], 1.2 (adding support for Python and higher-spin Higgs portal models) [112], 1.3 (adding support for axion and axion-like particles) [113] and 1.4 (adding support for right-handed neutrinos) [114]. The current public release is v1.4.2.…”
Section: The Gambit Softwarementioning
confidence: 99%
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“…The core GAMBIT software is written in C ++ 11, but interfaces seamlessly with extensions and existing physics codes written in Python, Mathematica, Fortran and C. Since the release of GAMBIT 1.0.0 in 2017 [110], the most notable updates have been versions 1.1 (adding support for Mathematica) [111], 1.2 (adding support for Python and higher-spin Higgs portal models) [112], 1.3 (adding support for axion and axion-like particles) [113] and 1.4 (adding support for right-handed neutrinos) [114]. The current public release is v1.4.2.…”
Section: The Gambit Softwarementioning
confidence: 99%
“…Refs. [112,113] for recent examples), and frequentist model testing by providing information that can be used to perform statistical simulations (see Ref. [145] for a detailed example).…”
Section: Sampling and Statisticsmentioning
confidence: 99%
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