Probing gluon GTMDs of the proton in deep inelastic diffractive dijet production at HERA

We calculate several differential distributions for diffractive dijets production in <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mi>e</a:mi><a:mi>p</a:mi><a:mo stretchy="false">→</a:mo><a:msup><a:mrow><a:mi>e</a:mi></a:mrow><a:mrow><a:mo>′</a:mo></a:mrow></a:msup><a:mi>jet</a:mi></a:mrow></a:math> <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"><d:mrow><d:mi>jet</d:mi><d:mi>p</d:mi></d:mrow></d:math> in the perturbative QCD dipole approach using off diagonal unintegrated gluon distributions (generalized transverse momentum dependent distributions, GTMDs). Different models from the literature are used. We concentrate on the contribution from exclusive <f:math xmlns:f="http://www.w3.org/1998/Math/MathML" display="inline"><f:mi>q</f:mi><f:mover accent="true"><f:mi>q</f:mi><f:mo stretchy="false">¯</f:mo></f:mover></f:math> dijets. Results of our calculations are compared to H1 and ZEUS data, including specific experimental cuts in our calculations. In general, except for one GTMD, our results are below the HERA data. The considered mechanism is expected to gives a sizeable contribution to the ZEUS data, while it is negligible in the kinematics of the H1 measurement. This is in contrast to recent results from the literature where the normalization was adjusted to some selected distributions of the H1 collaboration and no agreement with other observables was checked. The ZEUS data provide stricter limitations on the GTMDs than the H1 data. We conclude, based on comparison to different observables, that the calculated cross sections are only a small fraction of the measured ones which contain probably also processes with pomeron remnant. Alternatively one could try to explain the experimental data by inclusion of <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mi>q</j:mi><j:mover accent="true"><j:mi>q</j:mi><j:mo stretchy="false">¯</j:mo></j:mover><j:mi>g</j:mi></j:math> component of the photon wave function. We present also azimuthal correlations between the sum and the difference of dijet transverse momenta. The cuts on transverse momenta of jets generate corresponding azimuthal correlations that can be misidentified as due to elliptic gluon distributions. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical review. D/Physical review. D.
Published
2024-09-20
DOI
https://doi.org/10.1103/physrevd.110.054027
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Probing gluon GTMDs of the proton in deep inelastic diffractive dijet production at HERA

Barbara Linek, Marta Łuszczak, Antoni Szczurek, Wolfgang Schäfer
Physical review. D/Physical review. D.
High-Energy Particle Collisions Research
article

Probing gluon GTMDs of the proton in deep inelastic diffractive dijet production at HERA

Barbara Linek, Marta Łuszczak, Antoni Szczurek, Wolfgang Schäfer
article en

Abstract

We calculate several differential distributions for diffractive dijets production in <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mi>e</a:mi><a:mi>p</a:mi><a:mo stretchy="false">→</a:mo><a:msup><a:mrow><a:mi>e</a:mi></a:mrow><a:mrow><a:mo>′</a:mo></a:mrow></a:msup><a:mi>jet</a:mi></a:mrow></a:math> <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"><d:mrow><d:mi>jet</d:mi><d:mi>p</d:mi></d:mrow></d:math> in the perturbative QCD dipole approach using off diagonal unintegrated gluon distributions (generalized transverse momentum dependent distributions, GTMDs). Different models from the literature are used. We concentrate on the contribution from exclusive <f:math xmlns:f="http://www.w3.org/1998/Math/MathML" display="inline"><f:mi>q</f:mi><f:mover accent="true"><f:mi>q</f:mi><f:mo stretchy="false">¯</f:mo></f:mover></f:math> dijets. Results of our calculations are compared to H1 and ZEUS data, including specific experimental cuts in our calculations. In general, except for one GTMD, our results are below the HERA data. The considered mechanism is expected to gives a sizeable contribution to the ZEUS data, while it is negligible in the kinematics of the H1 measurement. This is in contrast to recent results from the literature where the normalization was adjusted to some selected distributions of the H1 collaboration and no agreement with other observables was checked. The ZEUS data provide stricter limitations on the GTMDs than the H1 data. We conclude, based on comparison to different observables, that the calculated cross sections are only a small fraction of the measured ones which contain probably also processes with pomeron remnant. Alternatively one could try to explain the experimental data by inclusion of <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mi>q</j:mi><j:mover accent="true"><j:mi>q</j:mi><j:mo stretchy="false">¯</j:mo></j:mover><j:mi>g</j:mi></j:math> component of the photon wave function. We present also azimuthal correlations between the sum and the difference of dijet transverse momenta. The cuts on transverse momenta of jets generate corresponding azimuthal correlations that can be misidentified as due to elliptic gluon distributions. Published by the American Physical Society 2024

Physical review. D/Physical review. D.Vol. 110(5)
Institute of Nuclear Physics, Polish Academy of Sciences (PL), University of Rzeszów (PL)
Narodowe Centrum Nauki
Openalex Percentile: Top 96%
High-Energy Particle Collisions Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.