Unbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA
Abstract
The radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment for optimizing event generators with numerous applications in high energy particle and nuclear physics. Looking at electron-proton collisions is of particular interest as many of the complications present at hadron colliders are absent. A detailed study of modern jet substructure observables, jet angularities, in electron-proton collisions is presented using data recorded using the H1 detector at HERA. The measurement is unbinned and multi-dimensional, using machine learning to correct for detector effects. All of the available reconstructed object information of the respective jets is interpreted by a graph neural network, achieving superior precision on a selected set of jet angularities. Training these networks was enabled by the use of a large number of GPUs in the Perlmutter supercomputer at Berkeley Lab. The particle jets are reconstructed in the laboratory frame, using the jet clustering algorithm. Results are reported at high transverse momentum transfer GeV, and inelasticity . The analysis is also performed in sub-regions of , thus probing scale dependencies of the substructure variables. The data are compared with a variety of predictions and point towards possible improvements of such models.
Keywords
Cite
@article{arxiv.2303.13620,
title = {Unbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA},
author = {The H1 collaboration and V. Andreev and M. Arratia and A. Baghdasaryan and A. Baty and K. Begzsuren and A. Bolz and V. Boudry and G. Brandt and D. Britzger and A. Buniatyan and L. Bystritskaya and A. J. Campbell and K. B. Cantun Avila and K. Cerny and V. Chekelian and Z. Chen and J. G. Contreras and J. Cvach and J. B. Dainton and K. Daum and A. Deshpande and C. Diaconu and A. Drees and G. Eckerlin and S. Egli and E. Elsen and L. Favart and A. Fedotov and J. Feltesse and M. Fleischer and A. Fomenko and C. Gal and J. Gayler and L. Goerlich and N. Gogitidze and M. Gouzevitch and C. Grab and T. Greenshaw and G. Grindhammer and D. Haidt and R. C. W. Henderson and J. Hessler and J. Hladký and D. Hoffmann and R. Horisberger and T. Hreus and F. Huber and P. M. Jacobs and M. Jacquet and T. Janssen and A. W. Jung and J. Katzy and C. Kiesling and M. Klein and C. Kleinwort and H. T. Klest and R. Kogler and P. Kostka and J. Kretzschmar and D. Krücker and K. Krüger and M. P. J. Landon and W. Lange and P. Laycock and S. H. Lee and S. Levonian and W. Li and J. Lin and K. Lipka and B. List and J. List and B. Lobodzinski and O. R. Long and E. Malinovski and H. -U. Martyn and S. J. Maxfield and A. Mehta and A. B. Meyer and J. Meyer and S. Mikocki and V. M. Mikuni and M. M. Mondal and K. Müller and B. Nachman and Th. Naumann and P. R. Newman and C. Niebuhr and G. Nowak and J. E. Olsson and D. Ozerov and S. Park and C. Pascaud and G. D. Patel and E. Perez and A. Petrukhin and I. Picuric and D. Pitzl and R. Polifka and S. Preins and V. Radescu and N. Raicevic and T. Ravdandorj and P. Reimer and E. Rizvi and P. Robmann and R. Roosen and A. Rostovtsev and M. Rotaru and D. P. C. Sankey and M. Sauter and E. Sauvan and S. Schmitt and B. A. Schmookler and G. Schnell and L. Schoeffel and A. Schöning and F. Sefkow and S. Shushkevich and Y. Soloviev and P. Sopicki and D. South and A. Specka and M. Steder and B. Stella and U. Straumann and C. Sun and T. Sykora and P. D. Thompson and F. Torales Acosta and D. Traynor and B. Tseepeldorj and Z. Tu and G. Tustin and A. Valkárová and C. Vallée and P. Van Mechelen and D. Wegener and E. Wünsch and J. Žáček and J. Zhang and Z. Zhang and R. Žlebčík and H. Zohrabyan and F. Zomer},
journal= {arXiv preprint arXiv:2303.13620},
year = {2023}
}
Comments
25 pages, 10 figures, 8 tables, version accepted by Physics Letters B