The University of Southampton
University of Southampton Institutional Repository

Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at $s = 7$ $text TeV$

Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at $s = 7$ $text TeV$
Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at $s = 7$ $text TeV$
1434-6044
288
Khachatryan, Vardan
375bcfe5-df1a-41ad-9a90-553e557ef6d6
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
Khachatryan, Vardan
375bcfe5-df1a-41ad-9a90-553e557ef6d6
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3

Khachatryan, Vardan and Belyaev, Alexander (2015) Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at $s = 7$ $text TeV$. The European Physical Journal C, C75 (6), 288. (doi:10.1140/epjc/s10052-015-3499-1).

Record type: Article

This record has no associated files available for download.

More information

Published date: 26 June 2015
Organisations: Physics & Astronomy

Identifiers

Local EPrints ID: 410511
URI: http://eprints.soton.ac.uk/id/eprint/410511
ISSN: 1434-6044
PURE UUID: 8364cf49-2f41-47d1-86e7-69da38e43b59
ORCID for Alexander Belyaev: ORCID iD orcid.org/0000-0002-1733-4408

Catalogue record

Date deposited: 09 Jun 2017 09:01
Last modified: 16 Mar 2024 03:54

Export record

Altmetrics

Contributors

Author: Vardan Khachatryan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×