Alpert, B.
, Doriese, W.
, Fowler, J.
and Ullom, J.
(2011),
Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters, Journal of Low Temperature Physics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=909156
(Accessed November 21, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters
Published
Author(s)
, , ,
Abstract
The energy resolution of a high-pulse-rate filtering algorithm recently introduced by Hui Tan et al., based on running sums of TES microcalorimeter output streams, is predicted from average pulse shape and noise autocovariance. We compare with empirical resolution, and with optimal filtering predicted and empirical resolution, for a 55 Fe source measured by multiplexed 2×4, 2×8, and 2×12 arrays of microcalorimeters.Citation
Journal of Low Temperature Physics
Issue
10909-011-0441-2
Pub Type
Journals
Download Paper
Keywords
microcalorimeter, uncertainty, filter algorithms, high-rate processing
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created December 1, 2011, Updated February 19, 2017