Liquid argon TPC signal formation, signal processing and reconstruction techniques
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
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.
- Research Organization:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1350507
- Report Number(s):
- FERMILAB-PUB-15-458-ND; arXiv:1703.04024; 1517243
- Journal Information:
- Journal of Instrumentation, Vol. 12, Issue 07; ISSN 1748-0221
- Publisher:
- Institute of Physics (IOP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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 |
Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation | text | January 2018 |
Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE | text | January 2018 |
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