Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions

Author:

Abt I.,Aggarwal R.,Andreev V.,Arratia M.,Aushev V.,Baghdasaryan A.,Baty A.,Begzsuren K.,Behnke O.,Belousov A.,Bertolin A.,Bloch I.,Boudry V.,Brandt G.,Brock I.,Brook N. H.,Brugnera R.,Bruni A.,Buniatyan A.,Bussey P. J.,Bystritskaya L.,Caldwell A.,Campbell A. J.,Cantun Avila K. B.,Catterall C. D.,Cerny K.,Chekelian V.,Chen Z.,Chwastowski J.,Ciborowski J.,Ciesielski R.,Contreras J. G.,Cooper-Sarkar A. M.,Corradi M.,Cunqueiro Mendez L.,Currie J.,Cvach J.,Dainton J. B.,Daum K.,Dementiev R. K.,Deshpande A.,Diaconu C.,Dusini S.,Eckerlin G.,Egli S.,Elsen E.,Favart L.,Fedotov A.,Feltesse J.,Ferrando J.,Fleischer M.,Fomenko A.,Foster B.,Gal C.,Gallo E.,Gangadharan D.,Garfagnini A.,Gayler J.,Gehrmann-De Ridder A.,Gehrmann T.,Geiser A.,Gladilin L. K.,Glover E. W. N.,Goerlich L.,Gogitidze N.,Golubkov Yu. A.,Gouzevitch M.,Grab C.,Greenshaw T.,Grindhammer G.,Grzelak G.,Gwenlan C.,Haidt D.,Henderson R. C. W.,Hladký J.,Hochman D.,Hoffmann D.,Horisberger R.,Hreus T.,Huber F.,Huss A.,Jacobs P. M.,Jacquet M.,Janssen T.,Jomhari N. Z.,Jung A. W.,Jung H.,Kadenko I.,Kapichine M.,Karshon U.,Katzy J.,Kaur P.,Kiesling C.,Klanner R.,Klein M.,Klein U.,Kleinwort C.,Klest H. T.,Kogler R.,Korzhavina I. A.,Kostka P.,Kovalchuk N.,Kretzschmar J.,Krücker D.,Krüger K.,Kuze M.,Landon M. P. J.,Lange W.,Laycock P.,Lee S. H.,Levchenko B. B.,Levonian S.,Levy A.,Li W.,Lin J.,Lipka K.,List B.,List J.,Lobodzinski B.,Löhr B.,Lohrmann E.,Long O. R.,Longhin A.,Lorkowski F.,Lukina O. Yu.,Makarenko I.,Malinovski E.,Malka J.,Martyn H.-U.,Masciocchi S.,Maxfield S. J.,Mehta A.,Meyer A. B.,Meyer J.,Mikocki S.,Mikuni V. M.,Mondal M. M.,Morgan T.,Morozov A.,Müller K.,Nachman B.,Nagano K.,Nam J. D.,Naumann Th.,Newman P. R.,Niebuhr C.,Niehues J.,Nowak G.,Olsson J. E.,Onishchuk Yu.,Ozerov D.,Park S.,Pascaud C.,Patel G. D.,Paul E.,Perez E.,Petrukhin A.,Picuric I.,Pidhurskyi I.,Pires J.,Pitzl D.,Polifka R.,Polini A.,Preins S.,Przybycień M.,Quintero A.,Rabbertz K.,Radescu V.,Raicevic N.,Ravdandorj T.,Reimer P.,Rizvi E.,Robmann P.,Roosen R.,Rostovtsev A.,Rotaru M.,Ruspa M.,Sankey D. P. C.,Sauter M.,Sauvan E.,Schmitt S.,Schmookler B. A.,Schneekloth U.,Schoeffel L.,Schöning A.,Schörner-Sadenius T.,Sefkow F.,Selyuzhenkov I.,Shchedrolosiev M.,Shcheglova L. M.,Shushkevich S.,Skillicorn I. O.,Słomiński W.,Solano A.,Soloviev Y.,Sopicki P.,South D.,Spaskov V.,Specka A.,Stanco L.,Steder M.,Stefaniuk N.,Stella B.,Straumann U.,Sun C.,Surrow B.,Sutton M. R.,Sykora T.,Thompson P. D.,Tokushuku K.,Traynor D.,Tseepeldorj B.,Tu Z.,Turkot O.,Tymieniecka T.,Valkárová A.,Vallée C.,Van Mechelen P.,Verbytskyi A.,Wan Abdullah W. A. T.,Wegener D.,Wichmann K.,Wing M.,Wünsch E.,Yamada S.,Yamazaki Y.,Žáček J.,Żarnecki A. F.,Zenaiev O.,Zhang J.,Zhang Z.,Žlebčík R.,Zohrabyan H.,Zomer F.,

Abstract

AbstractThe HERAPDF2.0 ensemble of parton distribution functions (PDFs) was introduced in 2015. The final stage is presented, a next-to-next-to-leading-order (NNLO) analysis of the HERA data on inclusive deep inelastic ep scattering together with jet data as published by the H1 and ZEUS collaborations. A perturbative QCD fit, simultaneously of $$\alpha _s(M_Z^2)$$ α s ( M Z 2 ) and the PDFs, was performed with the result $$\alpha _s(M_Z^2)= 0.1156 \pm 0.0011~\mathrm{(exp)}~ ^{+0.0001}_{-0.0002}~ \mathrm{(model}$$ α s ( M Z 2 ) = 0.1156 ± 0.0011 ( exp ) - 0.0002 + 0.0001 ( model $$\mathrm{+ parameterisation)}~ \pm 0.0029~\mathrm{(scale)}$$ + parameterisation ) ± 0.0029 ( scale ) . The PDF sets of HERAPDF2.0Jets NNLO were determined with separate fits using two fixed values of $$\alpha _s(M_Z^2)$$ α s ( M Z 2 ) , $$\alpha _s(M_Z^2)=0.1155$$ α s ( M Z 2 ) = 0.1155 and 0.118, since the latter value was already chosen for the published HERAPDF2.0 NNLO analysis based on HERA inclusive DIS data only. The different sets of PDFs are presented, evaluated and compared. The consistency of the PDFs determined with and without the jet data demonstrates the consistency of HERA inclusive and jet-production cross-section data. The inclusion of the jet data reduced the uncertainty on the gluon PDF. Predictions based on the PDFs of HERAPDF2.0Jets NNLO give an excellent description of the jet-production data used as input.

Publisher

Springer Science and Business Media LLC

Subject

Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Reference39 articles.

1. A. Cooper-Sarkar, R. Devenish, Deep inelastic scattering (Oxford Univ Press, Oxford, 2011). (ISBN 978-0-19-960225-4)

2. H. Abramowicz et al. [H1 and ZEUS Collaborations], Eur. Phys. J. C 75, 580 (2015). arXiv:1506.06042

3. V.N. Gribov, L.N. Lipatov, Sov. J. Nucl. Phys. 15, 438 (1972)

4. V.N. Gribov, L.N. Lipatov, Sov. J. Nucl. Phys. 15, 675 (1972)

5. L.N. Lipatov, Sov. J. Nucl. Phys. 20, 94 (1975)

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3