# Tackling limited simulation and small signals

## TL;DR

This paper introduces an analytic Poisson likelihood method to better handle statistical uncertainties in small simulation samples, improving coverage and computational efficiency.

## Contribution

The paper presents a novel analytic Poisson likelihood technique that improves statistical uncertainty modeling in limited simulation data.

## Key findings

- Better coverage properties than existing methods
- Valid for small data samples
- Maintains good computational performance

## Abstract

We present a new, analytic, Poisson likelihood derived, technique to account for the statistical uncertainties inherent in simulation samples of limited size. This method has better coverage properties than other techniques, is valid for small data samples, and maintains good computational performance.