SoftKiller, a particle-level pileup removal method.

Area of Science:

• High Energy Physics
• Particle Physics
• Collider Physics

Background:

• Pileup, the superposition of multiple proton-proton interactions, complicates jet reconstruction in particle physics experiments.
• Current pileup correction methods often focus on individual jets, which can be suboptimal.
• Existing methods can be computationally intensive, limiting their application in real-time analysis.

Purpose of the Study:

• Introduce a new event-level, particle-based pileup correction method named SoftKiller.
• Evaluate the performance and robustness of SoftKiller compared to existing approaches.
• Assess the computational efficiency of SoftKiller.

Main Methods:

• SoftKiller removes softest particles within an event based on a dynamically determined transverse momentum threshold.
• The procedure operates at the event level, considering all particles.
• Performance is evaluated through simulations, comparing jet resolution and computational speed.

Main Results:

• SoftKiller demonstrates superior jet resolution performance compared to traditional jet-based pileup correction methods.
• The event-level, particle-based approach proves to be robust in simulations.
• SoftKiller achieves computational speeds nearly two orders of magnitude faster than methods utilizing jet areas.

Conclusions:

• SoftKiller offers an effective and efficient alternative for pileup correction in high-energy physics.
• The dynamic, event-level particle-based strategy enhances jet reconstruction accuracy.
• This method presents a significant advancement in computational efficiency for pileup mitigation.