File:S10052-022-11071-9.pdf
Jump to navigation
Jump to search
Size of this JPG preview of this PDF file: 451 × 599 pixels. Other resolutions: 181 × 240 pixels | 361 × 480 pixels | 578 × 768 pixels | 1,239 × 1,645 pixels.
Original file (1,239 × 1,645 pixels, file size: 734 KB, MIME type: application/pdf, 12 pages)
Captions
Captions
MFV approach to robust estimate of neutron lifetime
Summary
[edit]| Description |
English: 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 τn=881.16+2.25−2.35 s with statistical bootstrap errors, while the result of median statistics is τn=881.5+5.5−3 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. |
| Date | |
| Source |
https://link.springer.com/article/10.1140/epjc/s10052-022-11071-9 https://doi.org/10.1140/epjc/s10052-022-11071-9 |
| Author | Jiang Zhang, Sen Zhang, Zhen-Rong Zhang, Pu Zhang, Wen-Bin Li & Yan Hong |
Licensing
[edit]
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 13:48, 14 February 2023 |  | 1,239 × 1,645, 12 pages (734 KB) | Pamputt (talk | contribs) | Uploaded a work by Jiang Zhang, Sen Zhang, Zhen-Rong Zhang, Pu Zhang, Wen-Bin Li & Yan Hong from https://link.springer.com/article/10.1140/epjc/s10052-022-11071-9 https://doi.org/10.1140/epjc/s10052-022-11071-9 with UploadWizard |
You cannot overwrite this file.
File usage on Commons
There are no pages that use this file.