Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models

Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standar...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Peter Athron [verfasserIn] Csaba Balazs [verfasserIn] Benjamin Farmer [verfasserIn] Andrew Fowlie [verfasserIn] Dylan Harries [verfasserIn] Doyoun Kim [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Supersymmetry Phenomenology

Übergeordnetes Werk:	In: Journal of High Energy Physics - SpringerOpen, 2016, (2017), 10, Seite 43
Übergeordnetes Werk:	year:2017 ; number:10 ; pages:43

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1007/JHEP10(2017)160

Katalog-ID:	DOAJ034683380

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520			\|a Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.
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spelling	10.1007/JHEP10(2017)160 doi (DE-627)DOAJ034683380 (DE-599)DOAJ188aadd5bb874ed2a3c4a3a6576ed6f6 DE-627 ger DE-627 rakwb eng QC770-798 Peter Athron verfasserin aut Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners. Supersymmetry Phenomenology Nuclear and particle physics. Atomic energy. Radioactivity Csaba Balazs verfasserin aut Benjamin Farmer verfasserin aut Andrew Fowlie verfasserin aut Dylan Harries verfasserin aut Doyoun Kim verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2017), 10, Seite 43 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2017 number:10 pages:43 https://doi.org/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/article/188aadd5bb874ed2a3c4a3a6576ed6f6 kostenfrei http://link.springer.com/article/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2017 10 43
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allfieldsGer	10.1007/JHEP10(2017)160 doi (DE-627)DOAJ034683380 (DE-599)DOAJ188aadd5bb874ed2a3c4a3a6576ed6f6 DE-627 ger DE-627 rakwb eng QC770-798 Peter Athron verfasserin aut Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners. Supersymmetry Phenomenology Nuclear and particle physics. Atomic energy. Radioactivity Csaba Balazs verfasserin aut Benjamin Farmer verfasserin aut Andrew Fowlie verfasserin aut Dylan Harries verfasserin aut Doyoun Kim verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2017), 10, Seite 43 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2017 number:10 pages:43 https://doi.org/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/article/188aadd5bb874ed2a3c4a3a6576ed6f6 kostenfrei http://link.springer.com/article/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2017 10 43
allfieldsSound	10.1007/JHEP10(2017)160 doi (DE-627)DOAJ034683380 (DE-599)DOAJ188aadd5bb874ed2a3c4a3a6576ed6f6 DE-627 ger DE-627 rakwb eng QC770-798 Peter Athron verfasserin aut Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners. Supersymmetry Phenomenology Nuclear and particle physics. Atomic energy. Radioactivity Csaba Balazs verfasserin aut Benjamin Farmer verfasserin aut Andrew Fowlie verfasserin aut Dylan Harries verfasserin aut Doyoun Kim verfasserin aut In Journal of High Energy Physics SpringerOpen, 2016 (2017), 10, Seite 43 (DE-627)320910571 (DE-600)2027350-2 10298479 nnns year:2017 number:10 pages:43 https://doi.org/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/article/188aadd5bb874ed2a3c4a3a6576ed6f6 kostenfrei http://link.springer.com/article/10.1007/JHEP10(2017)160 kostenfrei https://doaj.org/toc/1029-8479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2017 10 43
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author	Peter Athron
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topic_title	QC770-798 Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models Supersymmetry Phenomenology
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title	Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
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title_sort	bayesian analysis and naturalness of (next-to-)minimal supersymmetric models
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title_auth	Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
abstract	Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.
abstractGer	Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.
abstract_unstemmed	Abstract The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a ℤ3 conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.
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title_short	Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
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Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models

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