# Estimating the efficiency turn-on curve for a constant-threshold trigger without a calibration dataset

## TL;DR

This paper presents a method to estimate the efficiency turn-on curve of constant-threshold triggers directly from physics data, eliminating the need for calibration datasets, which aids in stability verification and broader dataset applicability.

## Contribution

The paper introduces a bootstrap method to determine trigger efficiency curves without calibration data, under specific conditions, enhancing analysis flexibility.

## Key findings

- Method successfully estimates efficiency curves without calibration datasets.
- Applicable conditions for the method are clearly defined.
- Enables stability checks and broader dataset use in particle physics experiments.

## Abstract

Many particle physics experiments use constant threshold triggers, where the trigger threshold is in an online estimator that can be calculated quickly by the trigger module. Offline data analysis then calculates a more precise offline estimator for the same quantity, for example the event energy. The efficiency curve is a step function in the online estimator, but not in the offline estimator. One typically obtains the shape of the efficiency curve in the offline estimator by way of a calibration dataset, where the true rate of events at each value of the offline estimator is measured once and compared to the rate observed in the physics dataset. For triggers with a fixed threshold condition, it is sometimes possible to bootstrap the trigger efficiency curve without use of a calibration dataset. This is useful to verify stability of a calibration over time when calibration data cannot be taken often enough. It also makes it possible to use datasets for which no calibration is available. This paper describes the method and the conditions that must be met for it to be applicable.