MEKS: A program for computation of inclusive jet cross sections at hadron colliders
Main Author: | CPC, Mendeley |
---|---|
Other Authors: | Gao, Jun, Liang, Zhihua, Soper, Davison E., Lai, Hung-Liang, Nadolsky, Pavel M., Yuan, C.-P. |
Format: | Dataset |
Terbitan: |
Mendeley
, 2013
|
Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/mcpjnbb7nb |
ctrlnum |
0.17632-mcpjnbb7nb.1 |
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fullrecord |
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<dc><creator>CPC, Mendeley</creator><title>MEKS: A program for computation of inclusive jet cross sections at hadron colliders </title><publisher>Mendeley</publisher><description>Abstract
EKS is a numerical program that predicts differential cross sections for production of single-inclusive hadronic jets and jet pairs at next-to-leading order (NLO) accuracy in a perturbative QCD calculation. We describe MEKS 1.0, an upgraded EKS program with increased numerical precision, suitable for comparisons to the latest experimental data from the Large Hadron Collider and Tevatron. The program integrates the regularized patron-level matrix elements over the kinematical phase space for p...
Title of program: MEKS 1.0
Catalogue Id: AEOX_v1_0
Nature of problem
Computation of differential cross sections for inclusive production of single hadronic jets and jet pairs at next-to-leading order accuracy in perturbative quantum chromodynamics.
Versions of this program held in the CPC repository in Mendeley Data
AEOX_v1_0; MEKS 1.0; 10.1016/j.cpc.2013.01.022
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)</description><subject>Computational Physics</subject><subject>Elementary Particles</subject><contributor>Gao, Jun</contributor><contributor>Liang, Zhihua</contributor><contributor>Soper, Davison E.</contributor><contributor>Lai, Hung-Liang</contributor><contributor>Nadolsky, Pavel M.</contributor><contributor>Yuan, C.-P.</contributor><type>Other:Dataset</type><identifier>10.17632/mcpjnbb7nb.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/mcpjnbb7nb</relation><date>2013-06-01T11:00:00Z</date><recordID>0.17632-mcpjnbb7nb.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Gao, Jun Liang, Zhihua Soper, Davison E. Lai, Hung-Liang Nadolsky, Pavel M. Yuan, C.-P. |
title |
MEKS: A program for computation of inclusive jet cross sections at hadron colliders |
publisher |
Mendeley |
publishDate |
2013 |
topic |
Computational Physics Elementary Particles |
url |
https:/data.mendeley.com/datasets/mcpjnbb7nb |
contents |
Abstract
EKS is a numerical program that predicts differential cross sections for production of single-inclusive hadronic jets and jet pairs at next-to-leading order (NLO) accuracy in a perturbative QCD calculation. We describe MEKS 1.0, an upgraded EKS program with increased numerical precision, suitable for comparisons to the latest experimental data from the Large Hadron Collider and Tevatron. The program integrates the regularized patron-level matrix elements over the kinematical phase space for p...
Title of program: MEKS 1.0
Catalogue Id: AEOX_v1_0
Nature of problem
Computation of differential cross sections for inclusive production of single hadronic jets and jet pairs at next-to-leading order accuracy in perturbative quantum chromodynamics.
Versions of this program held in the CPC repository in Mendeley Data
AEOX_v1_0; MEKS 1.0; 10.1016/j.cpc.2013.01.022
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) |
id |
IOS7969.0.17632-mcpjnbb7nb.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:15:27Z |
last_indexed |
2020-04-08T08:15:27Z |
recordtype |
dc |
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1686587409903386624 |
score |
17.538404 |