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

Collaborations, Zeus; 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.; Bystritskaya, L.; Caldwell, A.; Campbell, A. J.; Avila, K. B. Cantun; Catterall, C. D.; C̆erný, K.; Chekelian, V.; Chen, Z.; Chwastowski, J. J.; Ciborowski, J.; Ciesielski, R.; Contreras, J. G.; Cooper‐Sarkar, A. M.; Corradi, M.; Cunqueiro, L.; Currie, James; 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.A.; Foster, B.; Gal, C.; Gallo, E.; Gangadharan, D. R.; Garfagnini, A.; Gayler, J.; Ridder, A. Gehrmann–De; Gehrmann, Thomas; 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, Florian; Huss, A.; Jacobs, P. M.; Jacquet, M.; Janssen, Tim; Jomhari, N. Z.; Jung, A. W.; Jung, H.; Каденко, І.; 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, Jenny; Łobodziński, B.; Löhr, B.; Lohrmann, E.; Long, O. R.; Longhin, A.; Lorkowski, F.; Lukina, Olga; Makarenko, I.; Malinovski, E.; Malka, J.; Martyn, H. U.; Masciocchi, S.; Maxfield, S. J.; Mehta, A.; Meyer, A.; Meyer, J.; Mikocki, S.; Mikuni, V. M.; Mondal, M. M.; Morgan, Thomas A.; Morozov, A.; Mueller, K.; Nachman, Ben; Nagano, K.; Nam, J. D.; Naumann, T.; Newman, P. R.; Niebuhr, C.; Niehues, J.; Nowak, G.; Olsson, J. E.; Onishchuk, Y.; Ozerov, D.; Park, Sangjun; Pascaud, C.; Patel, G. D.; Paul, E.; Perez, E.; Petrukhin, A.; Pićurić, I.; Pidhurskyi, I.; Pires, João; Pitzl, D.; Polifka, R.; Polini, A.; Preins, Sean; Przybycień, M.; Quintero, A.; Rabbertz, K.; Radescu, V.; Raičević, 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, Barak; 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.; Stančo, L.; Steder, M.; Stefaniuk, N.; Stella, B.; Straumann, U.; Sun, ChuanLe; Surrow, B.; Sutton, M. R.; Sýkora, T.; Thompson, P. D.; Tokushuku, K.; Traynor, D.; Tseepeldorj, B.; Tu, Z.; Turkot, O.; Tymieniecka, T.; Valkárová, A.; Vallée, C.; Mechelen, P. Van; Verbytskyi, A.; Abdullah, Wan Ahmad Tajuddin Wan; 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.

doi:10.1140/epjc/s10052-022-10083-9

Cited by 16 publications

(17 citation statements)

References 29 publications

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“…A recent combination of HERA heavy-quark data [70] has stimulated a re-analysis of the optimal values of the heavy-quark masses and their variations as used in the optimised TRVFN scheme [39]. The resulting values are m c = 1.41 GeV and m b = 4.2 GeV [71], and these are used for the central fit as applied to the DIS data. A minimum Q 2 cut of Q 2 min = 10.0 GeV 2 is imposed on the HERA data.…”

Section: Fit Methodologymentioning

confidence: 99%

“…The minimum Q 2 cut was varied in the range 7.5 < Q 2 min < 12.5 GeV 2 and the starting scale was varied in the range 1.6 < Q 2 0 < 2.2 GeV 2 . In the inclusive DIS calculations, the heavy-quark masses were varied in the ranges 1.37 < m c < 1.45 GeV and 4.1 < m b < 4.3 GeV [71]. The variations of m c and Q 2 0 are coupled since the requirement Q 2 0 < m 2 c must be met.…”

Section: Model and Theoretical Uncertaintiesmentioning

confidence: 99%

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Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at $$\sqrt{s} = 7$$, 8 and 13 TeV

Aad

Abbott²,

Abbott³

et al. 2022

Eur. Phys. J. C

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This paper presents an analysis at next-to-next-to-leading order in the theory of quantum chromodynamics for the determination of a new set of proton parton distribution functions using diverse measurements in pp collisions at $$\sqrt{s} = 7$$ s = 7 , 8 and 13 TeV, performed by the ATLAS experiment at the Large Hadron Collider, together with deep inelastic scattering data from ep collisions at the HERA collider. The ATLAS data sets considered are differential cross-section measurements of inclusive $$W^{\pm }$$ W ± and $$Z/\gamma ^*$$ Z / γ ∗ boson production, $$W^{\pm }$$ W ± and Z boson production in association with jets, $$t\bar{t}$$ t t ¯ production, inclusive jet production and direct photon production. In the analysis, particular attention is paid to the correlation of systematic uncertainties within and between the various ATLAS data sets and to the impact of model, theoretical and parameterisation uncertainties. The resulting set of parton distribution functions is called ATLASpdf21.

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Section: Fit Methodologymentioning

confidence: 99%

Section: Model and Theoretical Uncertaintiesmentioning

confidence: 99%

Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at $$\sqrt{s} = 7$$, 8 and 13 TeV

Aad

Abbott²,

Abbott³

et al. 2022

Eur. Phys. J. C

Self Cite

View full text Add to dashboard Cite

show abstract

“…PDFs are parametrised as a function of x at a starting scale Q 2 0 = 1.9 GeV 2 . The values of the heavy-quark masses are m c = 1.41 GeV and m b = 4.2 GeV respectively, as suggested in a recent re-analysis of the HERA heavy-quark data [19]. A cut on the minimum Q 2 of the data to enter the fit is imposed at Q 2 min = 10.0 GeV 2 .…”

Section: Theoretical Framework and Fit Methodologymentioning

confidence: 99%

Determination of proton parton distribution functions using ATLAS data

Giuli¹

2020

Proceedings of European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2019)

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We present fits to determine Parton Distribution Functions using a diverse set of measurements from the ATLAS experiment at the LHC, including inclusive W and Z boson production, t t production, W +jets and Z+jets production, inclusive jet production and direct photon production. These ATLAS measurements are used in combination with deep-inelastic scattering data from the electron-proton collider HERA. Particular attention is paid to the correlation of systematic uncertainties within and between the various ATLAS data sets and to the impact of model, theoretical and parameterisation uncertainties.

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“…The dotted boxes in both panels of figure 9 show the range 10 −6 < x < 0.3 in which the considered PDFs either are best constrained or better agree among each other. At large x, the gluon PDF is constrained by inclusive jet, dijet and t t distributions [32,[50][51][52][53][54][55]. However, gluon PDF uncertainties remain large, in part due to tensions between different data sets.…”

Section: Jhep06(2022)148mentioning

confidence: 99%

Parton distribution function uncertainties in theoretical predictions for far-forward tau neutrinos at the Large Hadron Collider

Bai

Diwan

Garzelli

et al. 2022

J. High Energ. Phys.

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New experiments dealing with neutrinos in the far-forward region at the Large Hadron Collider (LHC) are under design or already in preparation. Two of them, FASERν and SND@LHC, are expected to be active during Run 3 and have the potential to detect the interactions of ν and $$ \overline{\nu} $$ ν ¯ that come from high-energy collisions in one of the LHC interaction points, extracted along the direction tangent to the beam line. Tau neutrinos and antineutrinos come predominantly from $$ {D}_s^{\pm } $$ D s ± production in pp collisions, followed by the leptonic decay of these mesons. Neutrino pseudorapidities in the range of η > 6.9 and η > 8.9 are relevant to these future experiments. At such pseudorapidities at high energies, QCD theoretical predictions for the flux of ντ plus $$ \overline{\nu} $$ ν ¯ τ rely on parton distribution functions (PDFs) in a combination of very small and large parton−x values. We evaluate PDF un certainties affecting the flux of ντ + $$ \overline{\nu} $$ ν ¯ τ produced by $$ {D}_s^{\pm } $$ D s ± decay in the far forward region at the LHC. Next-to-leading order (NLO) QCD uncertainties are included in the calculation of $$ {D}_s^{\pm } $$ D s ± production and NLO PDF sets are used for consistency. The theoretical uncertainty associated with the 40 PDF sets of the PROSA19 group amounts to ±(20 − 30)% for the (ντ + $$ \overline{\nu} $$ ν ¯ τ) number of charged-current (CC) events. Scale uncertainties are much larger, resulting in a range of CC event predictions from ~70% lower to ~90% higher than the central prediction. A comparison of the predictions with those obtained using as input the central PDFs from the 3-flavour NLO PDF sets of the CT14, ABMP16 and NNPDF3.1 collaborations show that far-forward neutrino energy distributions vary by as much as a factor of ~2 – 4 relative to the PROSA19 predictions at TeV neutrino energies. The Forward Physics Facility in the high luminosity LHC era will provide data capable of constraining NLO QCD evaluations with these PDF sets.

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

Cited by 16 publications

References 29 publications

Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at $$\sqrt{s} = 7$$, 8 and 13 TeV

Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at $$\sqrt{s} = 7$$, 8 and 13 TeV

Determination of proton parton distribution functions using ATLAS data

Parton distribution function uncertainties in theoretical predictions for far-forward tau neutrinos at the Large Hadron Collider

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