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OASIS: Optimal Analysis-Specific Importance Sampling for event generation

by Konstantin T. Matchev, Prasanth Shyamsundar

Submission summary

As Contributors: Konstantin Matchev · Prasanth Shyamsundar
Arxiv Link: https://arxiv.org/abs/2006.16972v1 (pdf)
Date submitted: 2020-07-01 02:00
Submitted by: Shyamsundar, Prasanth
Submitted to: SciPost Physics
Discipline: Physics
Subject area: High-Energy Physics - Phenomenology
Approach: Phenomenological

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.

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Submission 2006.16972v1 on 1 July 2020

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