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.
@article{arxiv.1511.03950,
title = {The Practice of Pulse Processing},
author = {J. W. Fowler and B. K. Alpert and W. B. Doriese and Y. -I. Joe and G. C. O'Neil and J. N. Ullom and D. S. Swetz},
journal= {arXiv preprint arXiv:1511.03950},
year = {2017}
}
Comments
Accepted for publication in J. Low Temperature Physics, special issue for the proceedings of the Low Temperature Detectors 16 conference