Model discrimination in pseudoscalar-meson photoproduction (original) (raw)

Nys, J., Ryckebusch, J., Ireland, D.G. ORCID logoORCID: https://orcid.org/0000-0001-7713-7011 and Glazier, D.I. ORCID logoORCID: https://orcid.org/0000-0002-8929-6332(2016) Model discrimination in pseudoscalar-meson photoproduction.Physics Letters B, 759, pp. 260-265. (doi: 10.1016/j.physletb.2016.05.069)

Abstract

To learn about a physical system of interest, experimental results must be able to discriminate among models. We introduce a geometrical measure to quantify the distance between models for pseudoscalar-meson photoproduction in amplitude space. Experimental observables, with finite precision, map to probability distributions in amplitude space, and the characteristic width scale of such distributions needs to be smaller than the distance between models if the observable data are going to be useful. We therefore also introduce a method for evaluating probability distributions in amplitude space that arise as a result of one or more measurements, and show how one can use this to determine what further measurements are going to be necessary to be able to discriminate among models.

Item Type: Articles
Status: Published
Refereed: Yes
Glasgow Author(s) Enlighten ID: Ireland, Professor David and Glazier, Dr Derek
Authors: Nys, J., Ryckebusch, J., Ireland, D.G., and Glazier, D.I.
College/School: College of Science and Engineering > School of Physics and Astronomy
Journal Name: Physics Letters B
Publisher: Elsevier BV
ISSN: 0370-2693
ISSN (Online): 1873-2445
Published Online: 26 May 2016
Copyright Holders: Copyright © 2016 The Authors
First Published: First published in Physics Letters B 759:3260-265
Publisher Policy: Reproduced under a Creative Commons License

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Funder and Project Information

2

Glasgow nuclear physics consolidated grant

David Ireland

ST/L005719/1

S&E P&A - PHYSICS & ASTRONOMY

Deposit and Record Details

ID Code: 120428
Depositing User: Ms Mary Anne Meyering
Datestamp: 24 Jun 2016 10:55
Last Modified: 25 Sep 2025 13:41
Date of acceptance: 21 May 2016
Date of first online publication: 26 May 2016
Date Deposited: 24 June 2016
Data Availability Statement: No