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Title: Liquid argon TPC signal formation, signal processing and reconstruction techniques

Abstract

This document describes a reconstruction chain that was developed for the ArgoNeuT and MicroBooNE experiments at Fermilab. These experiments study accelerator neutrino interactions that occur in a Liquid Argon Time Projection Chamber. Reconstructing the properties of particles produced in these interactions benefits from the knowledge of the micro-physics processes that affect the creation and transport of ionization electrons to the readout system. A wire signal deconvolution technique was developed to convert wire signals to a standard form for hit reconstruction, to remove artifacts in the electronics chain and to remove coherent noise. A unique clustering algorithm reconstructs line-like trajectories and vertices in two dimensions which are then matched to create of 3D objects. In conclusion, these techniques and algorithms are available to all experiments that use the LArSoft suite of software.

Authors:
 [1]
  1. Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1350507
Report Number(s):
FERMILAB-PUB-15-458-ND; arXiv:1703.04024
Journal ID: ISSN 1748-0221; 1517243
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Instrumentation
Additional Journal Information:
Journal Volume: 12; Journal Issue: 07; Journal ID: ISSN 1748-0221
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Detector modelling and simulations II (electric fields, charge transport, multiplication and induction, pulse formation, electron emission, etc); Noble liquid detectors (scintillation, ionization, double-phase)

Citation Formats

Baller, Bruce. Liquid argon TPC signal formation, signal processing and reconstruction techniques. United States: N. p., 2017. Web. doi:10.1088/1748-0221/12/07/P07010.
Baller, Bruce. Liquid argon TPC signal formation, signal processing and reconstruction techniques. United States. https://doi.org/10.1088/1748-0221/12/07/P07010
Baller, Bruce. Fri . "Liquid argon TPC signal formation, signal processing and reconstruction techniques". United States. https://doi.org/10.1088/1748-0221/12/07/P07010. https://www.osti.gov/servlets/purl/1350507.
@article{osti_1350507,
title = {Liquid argon TPC signal formation, signal processing and reconstruction techniques},
author = {Baller, Bruce},
abstractNote = {This document describes a reconstruction chain that was developed for the ArgoNeuT and MicroBooNE experiments at Fermilab. These experiments study accelerator neutrino interactions that occur in a Liquid Argon Time Projection Chamber. Reconstructing the properties of particles produced in these interactions benefits from the knowledge of the micro-physics processes that affect the creation and transport of ionization electrons to the readout system. A wire signal deconvolution technique was developed to convert wire signals to a standard form for hit reconstruction, to remove artifacts in the electronics chain and to remove coherent noise. A unique clustering algorithm reconstructs line-like trajectories and vertices in two dimensions which are then matched to create of 3D objects. In conclusion, these techniques and algorithms are available to all experiments that use the LArSoft suite of software.},
doi = {10.1088/1748-0221/12/07/P07010},
journal = {Journal of Instrumentation},
number = 07,
volume = 12,
place = {United States},
year = {Fri Jul 07 00:00:00 EDT 2017},
month = {Fri Jul 07 00:00:00 EDT 2017}
}

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Works referencing / citing this record:

Calorimetry for low-energy electrons using charge and light in liquid argon
journal, January 2020


First measurement of νμ charged-current π⁰ production on argon with the MicroBooNE detector
text, January 2019

  • Auger, Martin; Chen, Yifan; Ereditato, Antonio
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