APAndrew Papanastasiou
Andrew Papanastasiou
*This is an algorithmically generated author record based on publicly available information.
Research Subjects
Research Interests
Andrew Papanastasiou has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Alexander Mitov
Cavendish Laboratory University of Cambridge CB3 0HE Cambridge UK
1 shared publication - Carl Schmidt
Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
1 shared publication - Chien-Peng Yuan
Michigan State University
1 shared publication - Ibrahim Sitiwaldi
Xinjiang University
1 shared publication - Joey Huston
Michigan State University
1 shared publication - Keping Xie
Southern Methodist University
1 shared publication
Latest Publications
- Open Access
- 20 August 2019
- Published by Sissa Medialab Srl
- Vol. 352, 017
Impact of LHC top-quark pair measurements to CTEQ-TEA PDF analysis
Detailed studies have been carried out on the impact of the LHC top quark pair production data on gluon PDF, in the context of the CTEQ-TEA global PDF fit, with the ePump-updating method. The considered $t\bar{t}$ data include single differential distributions from ATLAS and double differential distributions from CMS, both at 8 TeV. All analyses have been carried out at the NNLO, using fastNNLO tables. We show that the sensitivity per data point of the LHC $t\bar{t}$ data is similar to that of jet data, as included in the CT14HERA2 fit, while the total sensitivity of the present $t\bar{t}$ data is not as large as the jet data because of the much smaller number of $t\bar{t}$ data points in the presently available data.- 20 August 2019
- Published by Sissa Medialab Srl
- Vol. 352, 017
Open AccessImpact of LHC top-quark pair measurements to CTEQ-TEA PDF analysis
Detailed studies have been carried out on the impact of the LHC top quark pair production data on gluon PDF, in the context of the CTEQ-TEA global PDF fit, with the ePump-updating method. The considered $t\bar{t}$ data include single differential distributions from ATLAS and double differential distributions from CMS, both at 8 TeV. All analyses have been carried out at the NNLO, using fastNNLO tables. We show that the sensitivity per data point of the LHC $t\bar{t}$ data is similar to that of jet data, as included in the CT14HERA2 fit, while the total sensitivity of the present $t\bar{t}$ data is not as large as the jet data because of the much smaller number of $t\bar{t}$ data points in the presently available data.