Open AccessThe AME 2020 atomic mass evaluation (I). Evaluation of input data, and adjustment procedures*
Author(s) -
W. J. Huang,
M. Wang,
F. G. Kondev,
G. Audi,
S. Naimi
Publication year - 2021
Publication title -
chinese physics c, high energy physics and nuclear physics/chinese physics c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.207
H-Index - 46
eISSN - 2058-6132
pISSN - 1674-1137
DOI - 10.1088/1674-1137/abddb0
Subject(s) - nuclide , physics , atomic mass , selection (genetic algorithm) , mass number , nuclear physics , statistics , algorithm , computer science , mathematics , artificial intelligence , neutron
This is the first of two articles (Part I and Part II) that presents the results of the new atomic mass evaluation, AME2020. It includes complete information on the experimental input data that were used to derive the tables of recommended values which are given in Part II. This article describes the evaluation philosophy and procedures that were implemented in the selection of specific nuclear reaction, decay and mass-spectrometric data which were used in a least-squares fit adjustment in order to determine the recommended mass values and their uncertainties. All input data, including both the accepted and rejected ones, are tabulated and compared with the adjusted values obtained from the least-squares fit analysis. Differences with the previous AME2016 evaluation are discussed and specific examples are presented for several nuclides that may be of interest to AME users.