Issue |
EPJ Web Conf.
Volume 222, 2019
The XXIV International Workshop “High Energy Physics and Quantum Field Theory” (QFTHEP 2019)
|
|
---|---|---|
Article Number | 03015 | |
Number of page(s) | 8 | |
Section | Theory | |
DOI | https://doi.org/10.1051/epjconf/201922203015 | |
Published online | 19 November 2019 |
https://doi.org/10.1051/epjconf/201922203015
Production of prompt photons associated with jets at LHC in kT-factorization
1
Skobeltsyn Institute of Nuclear Physics, Moscow State University,
Leninskie Gory 1 (2),
119991
Moscow,
Russia
2
Joint Institute for Nuclear Research,
Joliot-Curie 6,
141980
Dubna, Moscow Region,
Russia
3
Deutsches Elektronen-Synchrotron,
Notkestrasse 85,
22607
Hamburg,
Germany
* e-mail: malyshev@theory.sinp.msu.ru
Published online: 19 November 2019
We use the kT–factorization approach to calculate total and differential cross sections of associated production of prompt photons and hadronic jets at the LHC energies. Our consideration relies on the pegasus Monte-Carlo generator with implemented ℴ(αα2s) off-shell gluon–gluon fusion subprocess g*g* → γqq− and several subleading quark-initiated contributions from ℴ(ααs) and ℴ(αα2s) subprocesses, taken into account in the collinear limit. Using Monte-Carlo generators CASCADE and PYTHIA, we investigate parton showering effects and compare our predictions with the data, taken by CMS and ATLAS collaborations at the LHC. We demostrate reasonabledescription of the data and the importance of parton shower effects in the kT–factorization.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.