<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-29T03:12:47Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/102827" metadataPrefix="rdf">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/102827</identifier><datestamp>2024-04-09T00:06:04Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>Information entropy and fragmentation functions</dc:title>
      <dc:creator>Benito-Calviño, Guillermo</dc:creator>
      <dc:creator>García-Olivares, Javier</dc:creator>
      <dc:creator>Llanes Estrada, Felipe José</dc:creator>
      <dc:description>2023 Acuerdos transformativos CRUE</dc:description>
      <dc:description>Several groups have recently investigated the flow of information in high-energy collisions, from the entanglement entropy of the proton yielding classical Shannon entropy of its parton distribution functions (pdfs), through jet splitting generating entropy, to the entropy distribution in hadron decays.
Lacking in the literature is a discussion of the information entropy of fragmentation functions (FFs) in the instances where they can be considered as probability distributions, and we here provide it. We find that this entropy is a single, convenient number to characterize future progress in the extraction of fragmentation functions.
We also deploy the related Kullback-Leibler divergence between two distributions to assess existing relations among FFs and parton distribution functions (pdfs) such as that of Barone, Drago and Ma. From a couple of current parametrizations of FFs, we do not find supporting empirical evidence for the relation, although it is possible that FFs and pdfs have similar power-laws near the  x = 1  endpoint.</dc:description>
      <dc:date>2024-04-08T12:21:47Z</dc:date>
      <dc:date>2024-04-08T12:21:47Z</dc:date>
      <dc:date>2023-08</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Benito-Calviño, G., García-Olivares, J., &amp; Llanes-Estrada, F. J. (2023). Information entropy and fragmentation functions. Nuclear Physics A, 1036, 122670.</dc:identifier>
      <dc:identifier>0375-9474</dc:identifier>
      <dc:identifier>10.1016/j.nuclphysa.2023.122670</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.14352/102827</dc:identifier>
      <dc:identifier>1873-1554</dc:identifier>
      <dc:identifier>https://www.sciencedirect.com/science/article/pii/S0375947423000738</dc:identifier>
      <dc:identifier>https://arxiv.org/abs/2209.13225</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>info:eu-repo/grantAgreement/EC/H2020/824093/EU</dc:relation>
      <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108655GB-I00/ES/TEORIAS EFECTIVAS EN FISICA DE ALTAS ENERGIAS Y COSMOLOGIA/</dc:relation>
      <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106080GB-C21/ES/FISICA HADRONICA Y CROMODINAMICA CUANTICA: DESDE LAS BAJAS ENERGIAS HASTA EL LHC/</dc:relation>
      <dc:relation>910309</dc:relation>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
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