Optimized MPGD-based Photon Detectors for high momentum particle identification at the Electron-Ion Collider
J. Agarwala, F. Bradamante, A. Bressan, C. Chatterjee, P. Ciliberti,, S. Dalla Torre, S. Dasgupta, M. Gregori, S. Levorato, A. Martin, G. Menon, F., Tessarotto, Y. Zhao

TL;DR
This paper discusses the development and optimization of MPGD-based photon detectors with a CsI photocathode for high-momentum particle identification at the Electron-Ion Collider, focusing on increasing photon detection efficiency in the UV range.
Contribution
It introduces a dedicated prototype with reduced sensor pad-size and a new DAQ system for improved performance in EIC particle identification applications.
Findings
Enhanced photon detection in the UV range around 120 nm.
Prototype with reduced sensor pad-size improves angular resolution.
New DAQ system facilitates laboratory and test beam studies.
Abstract
Particle IDentification (PID) is a central requirement of the experiments at the future EIC. Hadron PID at high momenta by RICH techniques requires the use of low density gaseous radiators, where the challenge is the limited length of the radiator region available at a collider experiment. By selecting a photon wavelength range in the far UV domain, around 120 nm, the number of detectable photons can be increased. Ideal sensors are gaseous Photon Detectors (PD) with CsI photocathode, where the status of the art is represented by the MPGD-based PDs at COMPASS RICH. Detector optimization is required for the application at EIC. Here we report about a dedicated prototype where the sensor pad-size has been reduced to preserve the angular resolution. A new DAQ system based on the SRS readout electronics has been developed for the laboratory and test beam studies of the prototype.
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
