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Disentangling Jet Modification in Jet Simulations and in Z+Jet Data
The selection of jets in heavy-ion collisions based on their p$_{T}$ after jet quenching is known to bias towards jets that lost little energy in the quark-gluon plasma. In this work, we study and quantify the impact of this selection bias on jet substructure observables so as to isolate effects cau...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
2021
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Acceso en línea: | https://dx.doi.org/10.1007/JHEP02(2022)175 http://cds.cern.ch/record/2789024 |
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author | Brewer, Jasmine Brodsky, Quinn Rajagopal, Krishna |
author_facet | Brewer, Jasmine Brodsky, Quinn Rajagopal, Krishna |
author_sort | Brewer, Jasmine |
collection | CERN |
description | The selection of jets in heavy-ion collisions based on their p$_{T}$ after jet quenching is known to bias towards jets that lost little energy in the quark-gluon plasma. In this work, we study and quantify the impact of this selection bias on jet substructure observables so as to isolate effects caused by the modification of the substructure of jets by quenching. We do so at first in a simplified Monte Carlo study in which it is possible to identify the same jet before and after quenching. We show explicitly that jets selected based on their quenched (i.e. observable) p$_{T}$ have substantially smaller fractional energy loss than those selected based on the p$_{T}$ that they would have had in the absence of any quenching. This selection bias has a large impact on jet structure and substructure observables. As an example, we consider the angular separation ∆R of the hardest splitting in each jet, and find that the ∆R distribution of the (biased) sample of jets selected based upon their quenched p$_{T}$ is almost unmodified by quenching. In contrast, quenching causes dramatic modifications to the ∆R distribution of a sample of jets selected based upon their unquenched p$_{T}$, with a significant enhancement at larger ∆R coming from the soft particles originating from the wake of the jet in the quark-gluon plasma. The jets which contribute to this enhancement are those which have lost the most energy and which were, therefore, left out of the sample selected after quenching. In a more realistic study, we then show that the same qualitative effects can all be observed in Z+jet events. Selecting jets in such events based on either the jet p$_{T}$ or the Z-boson p$_{T}$ provides an experimentally accessible way to quantify the effects of selection biases in jet observables and separate them from the modification of jet substructure caused by quenching. Selecting Z+jet events based upon the jet p$_{T}$ yields a ∆R distribution that appears almost unmodified whereas selecting Z+jet events based upon the Z-boson p$_{T}$ reveals a significant modification to the ∆R-distribution caused by quenching, once again arising from the wakes of those jets that lose more energy. |
id | cern-2789024 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27890242023-01-31T11:00:23Zdoi:10.1007/JHEP02(2022)175http://cds.cern.ch/record/2789024engBrewer, JasmineBrodsky, QuinnRajagopal, KrishnaDisentangling Jet Modification in Jet Simulations and in Z+Jet Datanucl-thNuclear Physics - Theoryhep-phParticle Physics - PhenomenologyThe selection of jets in heavy-ion collisions based on their p$_{T}$ after jet quenching is known to bias towards jets that lost little energy in the quark-gluon plasma. In this work, we study and quantify the impact of this selection bias on jet substructure observables so as to isolate effects caused by the modification of the substructure of jets by quenching. We do so at first in a simplified Monte Carlo study in which it is possible to identify the same jet before and after quenching. We show explicitly that jets selected based on their quenched (i.e. observable) p$_{T}$ have substantially smaller fractional energy loss than those selected based on the p$_{T}$ that they would have had in the absence of any quenching. This selection bias has a large impact on jet structure and substructure observables. As an example, we consider the angular separation ∆R of the hardest splitting in each jet, and find that the ∆R distribution of the (biased) sample of jets selected based upon their quenched p$_{T}$ is almost unmodified by quenching. In contrast, quenching causes dramatic modifications to the ∆R distribution of a sample of jets selected based upon their unquenched p$_{T}$, with a significant enhancement at larger ∆R coming from the soft particles originating from the wake of the jet in the quark-gluon plasma. The jets which contribute to this enhancement are those which have lost the most energy and which were, therefore, left out of the sample selected after quenching. In a more realistic study, we then show that the same qualitative effects can all be observed in Z+jet events. Selecting jets in such events based on either the jet p$_{T}$ or the Z-boson p$_{T}$ provides an experimentally accessible way to quantify the effects of selection biases in jet observables and separate them from the modification of jet substructure caused by quenching. Selecting Z+jet events based upon the jet p$_{T}$ yields a ∆R distribution that appears almost unmodified whereas selecting Z+jet events based upon the Z-boson p$_{T}$ reveals a significant modification to the ∆R-distribution caused by quenching, once again arising from the wakes of those jets that lose more energy.We study the impact of selection biases on jet structure and substructure observables and separate these effects from effects caused by jet quenching. We use the angular separation $\Delta R$ of the hardest splitting in a jet as the primary example observable. We first conduct a simplified Monte Carlo study in which it is possible to identify the same jet after quenching in a heavy ion collision and as it would have been if it had formed in vacuum. We select a sample of jets by placing a cut on their quenched $p_T$ and, as is possible only in a Monte Carlo study, compare to the same jets unquenched, and see that the $\Delta R$ distribution seems to be unmodified. However, if we select a sample of jets formed in vacuum by placing a cut on their unquenched $p_T$ and compare to those same jets after quenching, we see a significant enhancement in the number of jets with large $\Delta R$, primarily due to the soft particles in the jet that originate from the wake in the droplet of quark-gluon plasma excited by the parton shower. We confirm that the jets contributing to this enhancement are those jets which lost the most energy, which were not included in the sample selected after quenching; jets selected after quenching are those which lose a small fraction of their energy. Next, we employ a method that is available to experimentalists: in a sample of jets with a recoiling $Z$ boson, we show that selecting jets based on the jet $p_T$ after quenching yields a $\Delta R$ distribution that appears unmodified while selecting a sample of jets produced in association with a $Z$ boson whose (unmodified) $p_T$ is above some cut yields a significant enhancement in the number of jets with large $\Delta R$. We again confirm that this is due to particles from the wake, and that the jets contributing to this enhancement are those which have lost a significant fraction of their energy.arXiv:2110.13159CERN-TH-2021-163MIT-CTP/5344oai:cds.cern.ch:27890242021-10-25 |
spellingShingle | nucl-th Nuclear Physics - Theory hep-ph Particle Physics - Phenomenology Brewer, Jasmine Brodsky, Quinn Rajagopal, Krishna Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title | Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title_full | Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title_fullStr | Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title_full_unstemmed | Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title_short | Disentangling Jet Modification in Jet Simulations and in Z+Jet Data |
title_sort | disentangling jet modification in jet simulations and in z+jet data |
topic | nucl-th Nuclear Physics - Theory hep-ph Particle Physics - Phenomenology |
url | https://dx.doi.org/10.1007/JHEP02(2022)175 http://cds.cern.ch/record/2789024 |
work_keys_str_mv | AT brewerjasmine disentanglingjetmodificationinjetsimulationsandinzjetdata AT brodskyquinn disentanglingjetmodificationinjetsimulationsandinzjetdata AT rajagopalkrishna disentanglingjetmodificationinjetsimulationsandinzjetdata |