Description of di-hadron saturation signals within a universal nuclear parton distribution function approach

Di-hadron and di-jet correlation measurements in proton-nucleus ($p+A$) and electron-nucleus collisions are widely motivated as sensitive probes of novel, nonlinear quantum chromodynamices saturation dynamics in hadrons, which are particularly accessible in the dense nuclear environment at low values of Bjorken-$x$ (${x}_{\mathrm{A}})$. Current measurements at the BNL Relativistic Heavy Ion Collider (RHIC) and the CERN Large Hadron Collider (LHC) observe a significant suppression in the per-trigger yield at forward rapidities compared to that in proton-proton collisions, nominally consistent with the ``mono-jet'' production expected in a saturation scenario. However, the width of the azimuthal correlation remains unmodified, in contradiction to the qualitative expectations from this physics picture. I investigate whether the construction of these observables leaves them sensitive to effects from simple nuclear shadowing as captured by, for example, universal nuclear parton distribution function (nPDF) analyses. I find that modern nPDF sets, informed by recent precision measurements sensitive to the shadowing of low-${x}_{\mathrm{A}}$ gluon densities in LHC and other data, can describe all or the majority of the di-hadron/jet suppression effects in $p+A$ data at both RHIC and the LHC, while giving a natural explanation for why the azimuthal correlation width is unmodified. Notably, this is achieved via a $({x}_{\mathrm{A}},{Q}^{2})$-differential suppression of overall cross sections only, without requiring additional physics dynamics which alter the interevent correlations.

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Publication Details

Journal
Physical review. C
Published
2025-05-01
DOI
https://doi.org/10.1103/physrevc.111.054901
Citations
1
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
1.87

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article

Description of di-hadron saturation signals within a universal nuclear parton distribution function approach

D. V. Perepelitsa
1 citations
Physical review. C
High-Energy Particle Collisions Research
1.87
article

Description of di-hadron saturation signals within a universal nuclear parton distribution function approach

D. V. Perepelitsa
article en
1 citations

Abstract

Di-hadron and di-jet correlation measurements in proton-nucleus ($p+A$) and electron-nucleus collisions are widely motivated as sensitive probes of novel, nonlinear quantum chromodynamices saturation dynamics in hadrons, which are particularly accessible in the dense nuclear environment at low values of Bjorken-$x$ (${x}_{\mathrm{A}})$. Current measurements at the BNL Relativistic Heavy Ion Collider (RHIC) and the CERN Large Hadron Collider (LHC) observe a significant suppression in the per-trigger yield at forward rapidities compared to that in proton-proton collisions, nominally consistent with the ``mono-jet'' production expected in a saturation scenario. However, the width of the azimuthal correlation remains unmodified, in contradiction to the qualitative expectations from this physics picture. I investigate whether the construction of these observables leaves them sensitive to effects from simple nuclear shadowing as captured by, for example, universal nuclear parton distribution function (nPDF) analyses. I find that modern nPDF sets, informed by recent precision measurements sensitive to the shadowing of low-${x}_{\mathrm{A}}$ gluon densities in LHC and other data, can describe all or the majority of the di-hadron/jet suppression effects in $p+A$ data at both RHIC and the LHC, while giving a natural explanation for why the azimuthal correlation width is unmodified. Notably, this is achieved via a $({x}_{\mathrm{A}},{Q}^{2})$-differential suppression of overall cross sections only, without requiring additional physics dynamics which alter the interevent correlations.

Physical review. CVol. 111(5)
University of Colorado Boulder (US)
U.S. Department of Energy
Openalex Percentile: Top 14%
High-Energy Particle Collisions Research
1.87
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