PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 3, 20260 citationsOpen Access

The ePIC-dRICH streaming readout system

View Full Paper
SGS. Geminiani

Key Points

  • This study aims to enhance the readout system for the ePIC experiment at the Electron-Ion Collider, focusing on nucleon structure investigation.
  • Developed a streaming readout architecture with 1248 Photon Detection Units (PDUs).
  • Employed low-temperature operation and in-situ annealing to mitigate radiation damage effects on SiPMs.
  • Utilized data reduction techniques to achieve high data throughput and improved data handling efficiency.
  • Achieved a data throughput of approximately 1.4 Tb/s with various data reduction methods.
  • Maintained the dark count rate (DCR) below 300 kHz after 200 fb$^{-1}$ of integrated luminosity.
  • Demonstrated efficient integration of four matrices of 64 SiPMs each along with advanced front-end electronics.

Abstract

The investigation of the nucleon structure is one of the primary goals of the ePIC experiment at the future Electron–Ion Collider. Considering both inclusive and exclusive processes, ePIC will access unprecedented ranges in Q² and Bjorken x. The dual-radiator RICH (dRICH) detector is a key component of the ePIC Particle Identification (PID) system and is essential for the reconstruction of hadrons produced in high-Q² scattering events. Covering the pseudorapidity range 1. 5< <3. 5, the dRICH ensures /K/p separation from 3 to 50 GeV/c thanks to two Cherenkov radiators. More than 300 thousand 3x3 mm² SiPMs are employed as photosensors, each of them representing one readout channel. Given an expected radiation dose of 610^10 1-MeV neq/cm², radiation damage to the SiPMs leads to an increase in the dark count rate (DCR), which constitutes the main limitation to single-photon resolution. Mitigation strategies based on low-temperature operation and in-situ annealing allow the DCR to be contained below 300 kHz after 200 fb^-1 of integrated luminosity. The highest data throughput in ePIC of 7 Tbit/s is expected from the dRICH readout system, primarily due to the DCR contribution. To address this challenge, efficient data-reduction techniques have been developed together with a streaming readout architecture segmented into 1248 Photon Detection Units (PDUs). Each PDU integrates four matrices of 64 SiPMs each, along with front-end electronics based on 4 ALCOR ASICs and an FPGA-based Readout (RDO) card. The ALCOR ASICs generate precise timestamps data, which are aggregated by the RDO card and streamed to the ePIC DAQ system via a 10 Gb/s optical link. The data-push readout architecture of the dRICH detector will be presented, focusing mainly on the front-end and readout boards. A data throughput of 1. 4 Tb/s is achievable using different data reduction methods that will be shown, highlighting the main role of the DAQ architecture design. Finally, results of prototype PDU readout will be discussed, in terms of data throughput, together with future studies exploiting the full bandwidth available of the selected optical link.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

S. Geminiani (2026) studied this question.

synapsesocial.com/papers/69f6e6478071d4f1bdfc6ed8https://doi.org/10.5281/zenodo.19825581
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The dRICH detector at the future ePIC experiment2026
  2. 2The SiPM photodetector of the ePIC dual-radiator RICH at the EIC: overview and beam test results2025 · 3 citations
  3. 3AI-assisted detector design for the EIC (AID(2)E)2024 · 7 citations
  4. 4AI-Assisted Detector Design for the EIC (AID(2)E)2024
  5. 5Calorimetry for the ePIC Experiment2024