Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 63 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 11 tok/s Pro
GPT-5 High 10 tok/s Pro
GPT-4o 83 tok/s Pro
Kimi K2 139 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Expected performance of the ALPIDE pixel layers in ALICE FoCal (2504.03018v1)

Published 3 Apr 2025 in physics.ins-det and hep-ex

Abstract: The ALICE experiment is designed to study ultra-relativistic heavy-ion collisions at the Large Hadron Collider (LHC). As part of its major upgrades for Run 4, the Forward Calorimeter (FoCal) will be installed during Long Shutdown 3 (LS3). FoCal enables precise measurements of direct photon production at forward rapidity, providing a sensitive probe of the gluon distribution in protons and nuclei. This paper introduces the expected performance of the forward electromagnetic calorimeter (FoCal-E) and presents several potential strategies for mitigating occupancy and BUSY violation challenges in the pixel layers of FoCal-E. Beam test results demonstrate that back biasing effectively reduces pixel occupancy. Meanwhile, SystemC simulations explore additional mitigation strategies-such as grid masking and a regional trigger-to further minimize BUSY violations and enhance detector performance under high-luminosity conditions.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 0 likes.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube