Published August 2019 | Version v1
Journal article

Phenomenological NLO analysis of ηc production at the LHC in the collider and fixed-target modes

  • 1. Department of Physics, College of Basic Medical Sciences, Army Medical University, Chongqing 400038 (China)
  • 2. School of Physical Sciences, University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049 (China)
  • 3. LAL, Université Paris-Saclay, Univ. Paris-Sud, CNRS/IN2P3, F-91898, Orsay Cedex (France)
  • 4. IPNO, Université Paris-Saclay, Univ. Paris-Sud, CNRS/IN2P3, F-91406, Orsay Cedex (France)
  • 5. LPTHE, UMR 7589, Sorbonne Universités & CNRS, F-75252, Paris Cedex 05 (France)
  • 6. College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025 (China)

Description

In view of the good agreement between the LHCb prompt-ηc data at s=7 and 8 TeV and the NLO colour-singlet model predictions –i.e. the leading v2 NRQCD contribution–, we provide predictions in the LHCb acceptance for the forthcoming 13 TeV analysis bearing on data taken during the LHC Run2. We also provide predictions for s=115 GeV for proton-hydrogen collisions in the fixed-target mode which could be studied during the LHC Run3. Our predictions are complemented by a full theoretical uncertainty analysis. In addition to cross section predictions, we elaborate on the uncertainties on the pp¯ branching ratio –necessary for data-theory comparison– and discuss other usable branching fractions for future studies.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nuclphysb.2019.114662

Additional details

Identifiers

DOI
10.1016/j.nuclphysb.2019.114662;
arXiv
arXiv:1901.09766v1;
PII
S0550321319301488;

Publishing Information

Journal Title
Nuclear Physics. B
Journal Volume
945
Journal Page Range
p. 114662
ISSN
0550-3213
CODEN
NUPBBO

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51048624
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Descriptors DEI
BRANCHING RATIO; CERN LHC; CROSS SECTIONS; FORECASTING
Descriptors DEC
ACCELERATORS; CYCLIC ACCELERATORS; DIMENSIONLESS NUMBERS; STORAGE RINGS; SYNCHROTRONS

Optional Information

Notes
© 2019 The Author(s). Published by Elsevier B.V.