| Title: |
Reconstruction and performance evaluation of FASER's emulsion detector at the LHC |
| Authors: |
Abraham, Roshan Mammen; Ai, Xiaocong; Monsalve, Saul Alonso; Anders, John; Antel, Claire; Ariga, Akitaka; Ariga, Tomoko; Atkinson, Jeremy; Bernlochner, Florian U.; Boeckh, Tobias; Boyd, Jamie; Brenner, Lydia; Burger, Angela; Cadoux, Franck; Cardella, Roberto; Casper, David W.; Cavanagh, Charlotte; Chen, Xin; Chinone, Kohei; Chouhan, Dhruv; Zhao, Xingyu; The FASER collaboration |
| Contributors: |
Abraham, Roshan Mammen; Ai, Xiaocong; Monsalve, Saul Alonso; Anders, John; Antel, Claire; Ariga, Akitaka; Ariga, Tomoko; Atkinson, Jeremy; Bernlochner, Florian U.; Boeckh, Tobias; Boyd, Jamie; Brenner, Lydia; Burger, Angela; Cadoux, Franck; Cardella, Roberto; Casper, David W.; Cavanagh, Charlotte; Chen, Xin; Chinone, Kohei; Chouhan, Dhruv; Zhao, Xingyu; The FASER collaboration |
| Publication Year: |
2025 |
| Collection: |
Georg-August-Universität Göttingen: GoeScholar |
| Description: |
This paper presents the reconstruction and performance evaluation of the FASERν emulsion detector, which aims to measure interactions from neutrinos produced in the forward direction of proton-proton collisions at the CERN Large Hadron Collider. The detector, composed of tungsten plates interleaved with emulsion films, records charged particles with sub-micron precision. A key challenge arises from the extremely high track density environment, reaching 𝒪(10 5 ) tracks per cm 2 . To address this, dedicated alignment techniques and track reconstruction algorithms have been developed, building on techniques from previous experiments and introducing further optimizations. The performance of the detector is studied by evaluating the single-film efficiency, position and angular resolution, and the impact parameter distribution of reconstructed vertices. The results demonstrate that an alignment precision of 0.3 μm and robust track and vertex reconstruction are achieved, enabling accurate neutrino measurements in the TeV energy range. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| DOI: |
10.1088/1748-0221/20/12/P12018 |
| Availability: |
https://resolver.sub.uni-goettingen.de/purl?gro-2/163405; https://doi.org/10.1088/1748-0221/20/12/P12018 |
| Rights: |
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.BE44D098 |
| Database: |
BASE |