STI Publications - View Publication Form #16984
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Publication Information
Title | Low energy protons as probes of hadronization dynamics | ||||
Abstract | Energetic quarks liberated from hadrons in nuclear deep-inelastic scattering propagate through the nuclear medium, interacting with it via several processes. These include quark energy loss and nuclear interactions of forming hadrons. One manifestation of these interactions is the enhanced emission of low-energy charged particles, referred to as grey tracks. We use the theoretical components of the BeAGLE event generator to interpret grey track signatures of parton transport and hadron formation by comparing its predictions to E665 data. We extend the base version of BeAGLE by adding four different options for describing parton energy loss. The E665 data we used consists of multiplicity ratios for fixed-target scattering of 490 GeV muons on Xe normalized to deuterium as a function of the number of grey tracks. We compare multiplicity ratios for E665 grey tracks to the predictions of BeAGLE, varying the options and parameters to determine which physics phenomena can be identified by the | ||||
Author(s) | Carolina Robles, Alberto Accardi, Mark Baker, Will Brooks, Raphael Dupre, Mathieu Ehrhart, Jorge Lopez, Z. Tu | ||||
Publication Date | October 2022 | ||||
Document Type | Journal Article | ||||
Primary Institution | Univ. Tecn. Federico Santa Maria, Valparaiso, Chile | ||||
Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
Funding Source | Nuclear Physics (NP), DE-SC0008791, DE-SC0012704 | ||||
Proprietary? | No | ||||
This publication conveys | Technical Science Results | ||||
Document Numbers |
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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 | 106 |
Issue | 4 |
Page(s) | 045202 |
Attachments/Datasets/DOI Link
Document(s) |
2203.16665.pdf
(STI Document)
PhysRevC.106.045202.pdf
(Accepted Manuscript)
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DOI Link | |
Dataset(s) | (none) |
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