Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding
Creators: name: Andreev, Vladimir
name: Arratia, Miguel
name: Baghdasaryan, Artem
name: Baty, Austin
name: Begzsuren, Khurelbaatar
name: Belousov, Anatoli S.
name: Bolz, Arthur
name: Boudry, Vincent
name: Brandt, Gerhard
name: Britzger, Daniel
name: Buniatyan, Armen
name: Bystritskaya, Lena
name: Campbell, Alan
name: Cantun Avila, Karla Beatriz
name: Cerny, Karel
name: Chekelian, Vladimir
name: Chen, Zhenyu
name: Contreras, Guillermo
name: Cunqueiro, Leticia
name: Cvach, Jaroslav
name: Dainton, John
name: Daum, Karin
name: Deshpande, Abhay
name: Diaconu, Cristinel
name: Eckerlin, Guenter
name: Egli, Stephan
name: Elsen, Eckhard
name: Favart, Laurent
name: Fedotov, Alexandre
name: Feltesse, Joel
name: Fleischer, Manfred
name: Fomenko, Alexander
name: Gal, Ciprian
name: Gayler, Joerg
name: Goerlich, Lidia
name: Gogitidze, Nelly
name: Gouzevitch, Maxime
name: Grab, Christoph
name: Greenshaw, Timothy
name: Grindhammer, Guenter
name: Haidt, Dieter
name: Henderson, Robert
name: Hessler, Johannes
name: Hladky, Jan
name: Hoffmann, Dirk
name: Horisberger, Roland
name: Hreus, Tomas
name: Huber, Florian
name: Jacobs, Peter
name: Jacquet, Marie
name: Janssen, Xavier
name: Jung, Andreas Werner
name: Jung, Hannes
name: Kapichine, Mikhail
name: Katzy, Judith
name: Kiesling, Christian
name: Klein, Max
name: Kleinwort, Claus
name: Klest, Henry Thornton
name: Kogler, Roman
name: Kostka, Peter
name: Kretzschmar, Jan
name: Krücker, Dirk
name: Krüger, Katja
name: Landon, Murrough
name: Lange, Wolfgang
name: Laycock, Paul
name: Lee, Sookhyun
name: Levonian, Serguei V.
name: Lin, JiaZhao
name: Lipka, Katerina
name: List, Benno
name: List, Jenny
name: Li, Wei
name: Lobodzinski, Bogdan
name: Malinovski, Evgenij
name: Martyn, Hans-Ulrich
name: Maxfield, Steve
name: Mehta, Andrew
name: Meyer, Andreas
name: Meyer, Joachim
name: Mikocki, Stanislav
name: Mondal, Mriganka Mouli
name: Morozov, Anatoli
name: Mueller, Katharina
name: Nachman, Benjamin
name: Naumann, Thomas
name: Newman, Paul R.
name: Niebuhr, Carsten
name: Nowak, Grazyna
name: Olsson, Jan-Erik
name: Ozerov, Dmitri
name: Park, Sanghwa
name: Pascaud, Christian
name: Patel, Girish
name: Perez, Emmanuel
name: Petrukhin, Alexey
name: Picuric, Ivana
name: Pitzl, Daniel
name: Polifka, Richard
name: Preins, Sean
name: Radescu, Voica
name: Raicevic, Natasa
name: Ravdandorj, Togoo
name: Reimer, Petr
name: Rizvi, Eram
name: Robmann, Peter
name: Roosen, Robert
name: Rostovtsev, Andrei
name: Rotaru, Marina
name: Sankey, David
name: Sauter, Michel
name: Sauvan, Emmanuel
name: Schmitt, Stefan
name: Schmookler, Barak Abraham
name: Schoeffel, Laurent
name: Schoening, Andre
name: Sefkow, Felix
name: Shushkevich, Stanislav
name: Soloviev, Yuri
name: Sopicki, Pawel
name: South, David
name: Spaskov, Vladimir
name: Specka, Arnd
name: Steder, Michael
name: Stella, Bruno
name: Straumann, Ulrich
name: Sun, Chuan
name: Sykora, Tomas
name: Thompson, Paul
name: Traynor, Daniel
name: Tseepeldorj, Baatar
name: Tu, Zhoudunming
name: Valkarova, Alice
name: Vallee, Claude
name: Mechelen, Pierre van
name: Wegener, Dietrich
name: Wuensch, Eberhard
name: Zacek, Jozef
name: Zhang, Jinlong
name: Zhang, Zhiqing
name: Zlebcik, Radek
name: Zohrabyan, Hamlet
name: Zomer, Fabian
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2021
Subjects: electron p: deep inelastic scattering
parton: distribution function
momentum transfer: high
quantum chromodynamics
numerical calculations: Monte Carlo
positron p: deep inelastic scattering
angular correlation
factorization
collinear
kinematics
transverse momentum dependence
energy dependence
correlation: two-particle
neural network
statistical analysis
H1
DESY HERA Stor
data analysis method
experimental results

description: The first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 detector at HERA, are corrected for detector effects using an unbinned machine learning algorithm OmniFold, which considers eight observables simultaneously in this first application. The unfolded cross sections are compared to calculations performed within the context of collinear or transverse-momentum-dependent (TMD) factorization in Quantum Chromodynamics (QCD) as well as Monte Carlo event generators. The measurement probes a wide range of QCD phenomena, including TMD parton distribution functions and their evolution with energy in so far unexplored kinematic regions.