PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 22, 2026JACOW0 citationsOpen Access

Performance of the Cryogenic Beam Loss Monitors Developed at the LHC

View Full Paper
BSBelen SalvachuaCZChristos ZamantzasEGErich Griesmayer

Key Points

  • The central aim is to evaluate the performance of CryoBLM detectors in measuring particle losses within the LHC.
  • Development of cryogenic Beam Loss Monitors (CryoBLM) based on pCVD technology.
  • Installation of detectors in cryostats near superconducting magnets.
  • Comparison of CryoBLM performance with traditional ionisation chambers and other monitoring systems.
  • CryoBLM demonstrates increased sensitivity in detecting particle losses.
  • Effectively measures both betatron halo cleaning and luminosity losses from CMS debris.
  • Outperforms traditional detectors in specific loss scenarios.

Abstract

Several systems protect the superconducting magnets of the Large Hadron Collider (LHC), which operate at -271.3C. The Beam Loss Monitoring (BLM) system is critical for detecting lost particles around the machine and reacting on their quantity and associated energy. It protects the machine from quenching and irreversible damage. To measure these losses, various detectors are used, primarily ionisation chambers (IC), but also other types of monitors depending on loss intensity. In injection and extraction areas, additional fast polycrystalline Chemical Vapor Deposition (pCVD) diamond detectors measure time structured losses. To increase sensitivity, a new detector, the cryogenic Beam Loss Monitor (CryoBLM), based on pCVD, was developed. It is mounted inside the cryostat between two superconducting magnets in the vicinity of the beam pipes and operates at cryogenic temperatures. Two CryoBLM locations in the LHC target different loss scenarios: betatron halo cleaning and luminosity losses from the CMS physics debris. This contribution presents the CryoBLM performance and comparisons with other detectors.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Salvachua et al. (2026) studied this question.

synapsesocial.com/papers/6971be2c642b1836717e2d36https://doi.org/10.18429/jacow-ibic2025-mopmo10
Ask AI
Helpful
Bookmark
Share
View Full Paper