Reconstruction and Performance Evaluation of FASER's Emulsion Detector at the LHC
FASER Collaboration: Roshan Mammen Abraham, Xiaocong Ai, Saul Alonso, Monsalve, John Anders, Claire Antel, Akitaka Ariga, Tomoko Ariga, Jeremy, Atkinson, Florian U. Bernlochner, Tobias Boeckh, Jamie Boyd, Lydia Brenner,, Angela Burger, Franck Cadou, Roberto Cardella

TL;DR
This paper details the reconstruction methods and performance assessment of the FASERν emulsion detector at the LHC, demonstrating high precision in tracking and vertex reconstruction in a high-density environment for neutrino detection.
Contribution
It introduces optimized alignment and track reconstruction techniques for emulsion detectors operating in extremely dense particle environments at the LHC.
Findings
Alignment precision of 0.3 micrometers achieved
High-efficiency track and vertex reconstruction demonstrated
Detector capable of accurate neutrino measurements in TeV range
Abstract
This paper presents the reconstruction and performance evaluation of the FASER 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 tracks per cm. 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…
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Taxonomy
TopicsParticle Detector Development and Performance · Particle physics theoretical and experimental studies · Neutrino Physics Research
