Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
MicroBooNE collaboration: C. Adams, R. An, J. Anthony, J. Asaadi, M., Auger, L. Bagby, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, M. Bass,, F. Bay, A. Bhat, K. Bhattacharya, M. Bishai, A. Blake, T. Bolton, L., Camilleri, D. Caratelli, R. Castillo Fernandez, F. Cavanna

TL;DR
This paper presents a detailed algorithm for extracting ionization electron signals in single-phase LArTPCs, specifically evaluated using MicroBooNE simulations to improve 3D reconstruction accuracy.
Contribution
It introduces a robust charge extraction algorithm for LArTPCs and provides a quantitative evaluation of its performance using detailed simulations.
Findings
Effective recovery of ionization electrons from wire signals
Quantitative agreement between extracted and true charge in simulations
Identification of areas for further improvement
Abstract
We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection anode wire planes will augment the 3D reconstruction, and is particularly important for tomographic reconstruction algorithms. A number of building blocks of the overall procedure are described. The performance of the signal processing is quantitatively evaluated by comparing extracted charge with the true charge through a detailed TPC detector simulation taking into account position-dependent induced current inside a single wire region and across multiple wires. Some areas for further…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
