STI Publications - View Publication Form #15808

Back to Search Results Print
Publication Information
Title How analytic choices can affect the extraction of electromagnetic form factors from elastic electron scattering cross section data
Abstract In order to make use of prior knowledge, such as analytic behavior or a known value at a kinematic endpoint, regressions often make use of floating normalization parameters to allow the fit to shift the data to the known physical limit. As there is often no unique way to make use of this prior knowledge or apply these shifts, different analysis choices can lead to very different conclusions from the same set of data. In this work, we use the Mainz elastic data set with its 1422 cross section points and 31 normalization parameters to illustrate how a single difference in a subjective analysis decision can dramatically affect the results.
Author(s) Scott Barcus, Douglas Higinbotham, Evan McClellan
Publication Date July 2020
Document Type Journal Article
Primary Institution Thomas Jefferson National Accelerator Facility, Newport News
Affiliation Exp Nuclear Physics / Experimental Halls / Hall A
Funding Source Nuclear Physics (NP)
Proprietary? No
This publication conveys Technical Science Results
Document Numbers
JLAB Number: JLAB-PHY-19-2887 OSTI Number: 1638180
LANL Number: arXiv:1902.08185 Other Number: DOE/OR/23177-5000
Associated with an experiment No
Associated with EIC No
Supported by Jefferson Lab LDRD Funding No
Journal Article
Journal Name Physical Review C
Refereed Yes
Volume 102
Issue
Page(s) 015205
Attachments/Datasets/DOI Link
Document(s)
analytic-choice1.pdf (STI Document)
1902.08185.pdf (Accepted Manuscript)
DOI Link
Dataset(s) (none)
Back to Search Results Print