MFV approach to robust estimate of neutron lifetime

Abstract Aiming at evaluating the lifetime of the neutron, we introduce a novel statistical method to analyse the updated compilation of precise measurements including the 2022 dataset of Particle Data Group (PDG). Based on the minimization for the information loss principle, unlike the median stati...

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Main Authors: Jiang Zhang, Sen Zhang, Zhen-Rong Zhang, Pu Zhang, Wen-Bin Li, Yan Hong
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:European Physical Journal C: Particles and Fields
Online Access:https://doi.org/10.1140/epjc/s10052-022-11071-9
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author Jiang Zhang
Sen Zhang
Zhen-Rong Zhang
Pu Zhang
Wen-Bin Li
Yan Hong
author_facet Jiang Zhang
Sen Zhang
Zhen-Rong Zhang
Pu Zhang
Wen-Bin Li
Yan Hong
author_sort Jiang Zhang
collection DOAJ
description Abstract Aiming at evaluating the lifetime of the neutron, we introduce a novel statistical method to analyse the updated compilation of precise measurements including the 2022 dataset of Particle Data Group (PDG). Based on the minimization for the information loss principle, unlike the median statistics method, we apply the most frequent value (MFV) procedure to estimate the neutron lifetime, irrespective of the Gaussian or non-Gaussian distributions. Providing a more robust way, the calculated result of the MFV is $$\tau _n=881.16^{+2.25}_{-2.35}$$ τ n = 881 . 16 - 2.35 + 2.25 s with statistical bootstrap errors, while the result of median statistics is $$\tau _n=881.5^{+5.5}_{-3}$$ τ n = 881 . 5 - 3 + 5.5 s according to the binomial distribution. Using the different central estimates, we also construct the error distributions of neutron lifetime measurements and find the non-Gaussianity, which is still meaningful.
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spelling doaj.art-ddf9eb01375b4e50bb316125f8762cc02023-03-22T12:11:43ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60522022-12-01821211210.1140/epjc/s10052-022-11071-9MFV approach to robust estimate of neutron lifetimeJiang Zhang0Sen Zhang1Zhen-Rong Zhang2Pu Zhang3Wen-Bin Li4Yan Hong5Physics Experimental Center, Department of Mathematics and Physics, Hebei GEO UniversityPhysics Experimental Center, Department of Mathematics and Physics, Hebei GEO UniversitySchool of Basic Sciences, Tianjin Agricultural UniversityPhysics Experimental Center, Department of Mathematics and Physics, Hebei GEO UniversityPhysics Experimental Center, Department of Mathematics and Physics, Hebei GEO UniversityPhysics Experimental Center, Department of Mathematics and Physics, Hebei GEO UniversityAbstract Aiming at evaluating the lifetime of the neutron, we introduce a novel statistical method to analyse the updated compilation of precise measurements including the 2022 dataset of Particle Data Group (PDG). Based on the minimization for the information loss principle, unlike the median statistics method, we apply the most frequent value (MFV) procedure to estimate the neutron lifetime, irrespective of the Gaussian or non-Gaussian distributions. Providing a more robust way, the calculated result of the MFV is $$\tau _n=881.16^{+2.25}_{-2.35}$$ τ n = 881 . 16 - 2.35 + 2.25 s with statistical bootstrap errors, while the result of median statistics is $$\tau _n=881.5^{+5.5}_{-3}$$ τ n = 881 . 5 - 3 + 5.5 s according to the binomial distribution. Using the different central estimates, we also construct the error distributions of neutron lifetime measurements and find the non-Gaussianity, which is still meaningful.https://doi.org/10.1140/epjc/s10052-022-11071-9
spellingShingle Jiang Zhang
Sen Zhang
Zhen-Rong Zhang
Pu Zhang
Wen-Bin Li
Yan Hong
MFV approach to robust estimate of neutron lifetime
European Physical Journal C: Particles and Fields
title MFV approach to robust estimate of neutron lifetime
title_full MFV approach to robust estimate of neutron lifetime
title_fullStr MFV approach to robust estimate of neutron lifetime
title_full_unstemmed MFV approach to robust estimate of neutron lifetime
title_short MFV approach to robust estimate of neutron lifetime
title_sort mfv approach to robust estimate of neutron lifetime
url https://doi.org/10.1140/epjc/s10052-022-11071-9
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AT puzhang mfvapproachtorobustestimateofneutronlifetime
AT wenbinli mfvapproachtorobustestimateofneutronlifetime
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