OASIS: Optimal Analysis-Specific Importance Sampling for event generation

TL;DR

OASIS is a novel importance sampling method that optimizes event generation in high-energy physics experiments, significantly reducing computational resources needed for analysis without compromising sensitivity.

Contribution

The paper introduces OASIS, a new importance sampling technique that focuses event generation on high-utility phase space regions, improving efficiency in high-energy physics analyses.

Findings

Reduces the number of simulated events needed for analysis

Focuses event generation on high-utility phase space regions

Conserves resources across the Monte Carlo pipeline

Abstract

We propose a technique called Optimal Analysis-Specific Importance Sampling (OASIS) to reduce the number of simulated events required for a high-energy experimental analysis to reach a target sensitivity. We provide recipes to obtain the optimal sampling distributions which preferentially focus the event generation on the regions of phase space with high utility to the experimental analyses. OASIS leads to a conservation of resources at all stages of the Monte Carlo pipeline, including full-detector simulation, and is complementary to approaches which seek to speed-up the simulation pipeline.