# Robust Pixel Gain Calibration with Limited Statistics

## TL;DR

This paper introduces a stable pixel gain calibration method for detectors that requires significantly less statistical data than traditional approaches, improving spectroscopic accuracy.

## Contribution

A novel calibration technique using histogram cross-correlation that achieves accurate pixel gain maps with minimal statistical data.

## Key findings

- Achieves stable gain calibration with an order of magnitude less data
- Provides accurate gain maps comparable to high-statistics methods
- Validated with synchrotron monochromatic radiation measurements

## Abstract

Pixel detectors typically display pixel-to-pixel gain variation of a few percent which result in reduced spectroscopic performance. We have developed a calibration method which relies on cross-correlating histograms of many pixel pairs and obtaining large sets of relative shifts. These were subsequently used to calculate absolute pixel shifts and corresponding pixel gains. We demonstrate that this method yields stable gain calibration maps with an order of magnitude less statistics than required by typical approaches. Finally, we demonstrate the accuracy of the method by comparing with gain maps obtained with good statistics and monochromatic radiation at a synchrotron beamline.