A Lightweight Algorithm to Model Radiation Damage Effects in Monte Carlo Events for High-Luminosity Large Hadron...

Area of Science:

• High-energy physics
• Particle detector technology
• Radiation effects in semiconductors

Background:

• Radiation damage degrades silicon tracking detectors in Large Hadron Collider (LHC) experiments like ATLAS and CMS.
• Signal reduction is a critical issue, necessitating accurate simulations of detector performance under accumulated luminosity (fluence).
• Existing Monte Carlo (MC) simulation algorithms face challenges with speed and resource constraints for the upcoming High-Luminosity LHC (HL-LHC) era.

Purpose of the Study:

• To develop and present a faster algorithm for simulating radiation damage effects in ATLAS detector simulations.
• To ensure simulated data accurately reflects detector performance evolution with increasing luminosity.
• To meet the computational demands of the HL-LHC upgrade.

Main Methods:

• Implementation of a new, faster algorithm for correcting simulated Monte Carlo (MC) events for radiation damage.
• Utilizing insights from existing ATLAS and CMS radiation damage correction algorithms.
• Conducting closure tests to compare simulated events with the new algorithm against fully simulated events.

Main Results:

• The new algorithm achieves agreement with fully simulated events at the few percent level.
• Initial performance tests demonstrate the new algorithm's speed is comparable to simulations without radiation damage corrections.
• The algorithm is designed to handle the increased event, track, and hit rates expected for the HL-LHC.

Conclusions:

• The developed algorithm offers a significant speed improvement for ATLAS MC production while maintaining high accuracy.
• This advancement is crucial for preparing the ATLAS experiment for the data-intensive HL-LHC phase.
• The new algorithm effectively addresses the computational challenges posed by simulating radiation damage effects in future collider runs.