The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data

This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy loss as a function of the energy, including models of electron recombination and detector response. The algorithm can be used to measure the energies of particles that interact before they stop, such as charged pions that are absorbed by argon nuclei. The algorithm's energy measurement resolutions and fractional biases are presented as functions of particle kinetic energy and number of track hits using samples of stopping secondary charged pions in data collected by the ProtoDUNE-SP detector, and also in a detailed simulation. Additional studies describe the impact of the dE/dx model on energy measurement performance. The method described in this paper to characterize the energy measurement performance can be repeated in any LArTPC experiment using stopping secondary charged pions.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2024-09-30
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
0.00

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article

The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data

Apollo (University of Cambridge)
Radiation Therapy and Dosimetry
article

The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data

article en

Abstract

This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy loss as a function of the energy, including models of electron recombination and detector response. The algorithm can be used to measure the energies of particles that interact before they stop, such as charged pions that are absorbed by argon nuclei. The algorithm's energy measurement resolutions and fractional biases are presented as functions of particle kinetic energy and number of track hits using samples of stopping secondary charged pions in data collected by the ProtoDUNE-SP detector, and also in a detailed simulation. Additional studies describe the impact of the dE/dx model on energy measurement performance. The method described in this paper to characterize the energy measurement performance can be repeated in any LArTPC experiment using stopping secondary charged pions.

Apollo (University of Cambridge)
National Science Foundation, U.S. Department of Energy, Yale University, Wellesley College, Florida State University, Massachusetts Institute of Technology, University of Pennsylvania, Ohio State University, California Institute of Technology, Jackson State University, Northern Illinois University, Northwestern University, Syracuse University, Wichita State University, Università degli Studi di Napoli Federico II, Colorado State University, University of Minnesota, State University of New York, Univerzita Karlova v Praze, Michigan State University, Rice University, University of Pittsburgh, University of Rochester, University of Cincinnati, University of Notre Dame, Drexel University, South Dakota State University, Louisiana State University, University of South Carolina, Harish-Chandra Research Institute, Queen Mary University of London, Iowa State University, University of Texas at Arlington, Oregon State University, University of Minnesota Duluth, Idaho State University, Università degli Studi di Milano, CERN, UK Research and Innovation, Istituto Nazionale di Fisica Nucleare Sezione di Padova, South Dakota School of Mines and Technology, Jawaharlal Nehru University, Université Savoie Mont Blanc, Southern Methodist University, Universidad de Colima, Universidad Católica del Norte, Instituto Tecnológico de Aeronáutica, York University, Royal Society, University of Warwick, Imperial College London, University College London, University of Oxford, European Commission, University of Sussex, University of Bristol, Durham University, Indian Institute of Technology Kanpur, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fundação de Amparo à Pesquisa do Estado de São Paulo, Radboud Universiteit, Chung-Ang University, Ulsan National Institute of Science and Technology, Korea University, Erciyes Üniversitesi, Instituto Politécnico Nacional, Generalitat Valenciana, Universitat de València, University of Toronto, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Korea Institute of Science and Technology, Korea Institute of Science and Technology Information, Johannes Gutenberg-Universität Mainz, Akademie Věd České Republiky, Sapienza Università di Roma, Tel Aviv University, Università di Catania, China Scholarship Council, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Università degli Studi di Genova, Università degli Studi di Pavia, Università degli Studi di Parma, Centre National de la Recherche Scientifique, Ministerio de Ciencia e Innovación, Fundação de Amparo à Pesquisa do Estado de Goiás, Università degli Studi dell'Insubria, Universidade de Lisboa, Institute for Research in Fundamental Sciences, Universidad de Granada, Universidade Estadual de Campinas, Uniwersytet Warszawski, High Energy Accelerator Research Organization, Universidade de Vigo, Università degli Studi di Ferrara, Université Paris-Saclay, Universitatea din București, Università di Pisa, University of Hyderabad, Universidade Federal do Rio de Janeiro, Universidad Nacional Mayor de San Marcos, Eötvös Loránd Tudományegyetem, Xunta de Galicia, Pontificia Universidad Católica del Perú, Indian Institute of Technology Guwahati, Istituto Nazionale di Fisica Nucleare, National Institute of Science Education and Research, Gran Sasso Science Institute, Universidade de Santiago de Compostela, Jeonbuk National University, Universidad del Magdalena, Punjab Agricultural University, Taras Shevchenko National University of Kyiv, Universidade Tecnológica Federal do Paraná, Stony Brook University, Office of Science, College of Engineering, Michigan State University, University of California, Los Angeles, University of Colorado Boulder, University of California, Irvine, HORIZON EUROPE Framework Programme, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, Fundação para a Ciência e a Tecnologia, Instituto Superior Técnico, European Regional Development Fund, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Institut National de Physique Nucléaire et de Physique des Particules, Nuclear Physics, Laboratori Nazionali del Gran Sasso, Fermilab, Brookhaven National Laboratory, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, Pacific Northwest National Laboratory, SLAC National Accelerator Laboratory
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