The Practice of Pulse Processing

TL;DR

This paper details a comprehensive pulse-analysis pipeline for x-ray microcalorimeters, emphasizing techniques to minimize systematic errors and optimize energy resolution in practical data analysis.

Contribution

It introduces specific methods for reducing gain variation and pulse-height dependence, enhancing the accuracy of x-ray spectrometry with microcalorimeters.

Findings

Effective reduction of systematic gain variation

Minimized dependence of pulse heights on arrival time

Improved energy resolution in practical measurements

Abstract

The analysis of data from x-ray microcalorimeters requires great care; their excellent intrinsic energy resolution cannot usually be achieved in practice without a statistically near-optimal pulse analysis and corrections for important systematic errors. We describe the essential parts of a pulse-analysis pipeline for data from x-ray microcalorimeters, including steps taken to reduce systematic gain variation and the unwelcome dependence of filtered pulse heights on the exact pulse-arrival time. We find these steps collectively to be essential tools for getting the best results from a microcalorimeter-based x-ray spectrometer.