Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters
- 95 Downloads
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 55Fe source measured by multiplexed 2×4, 2×8, and 2×12 arrays of microcalorimeters.
KeywordsFilter algorithms High-rate processing Microcalorimeter Uncertainty
- 1.H. Tan, D. Breus, W. Hennig, K. Sabourov, W.K. Warburton, W.B. Doriese, J.N. Ullom, M.K. Bacrania, A.S. Hoover, M.W. Rabin, in IEEE Nuclear Science Symp. Conf. Record (2008), pp. 1130–1133 Google Scholar
- 2.H. Tan, D. Breus, W. Hennig, K. Sabourov, J.W. Collins, W.K. Warburton, W. Bertrand Doriese, J.N. Ullom, M.K. Bacrania, A.S. Hoover, M.W. Rabin, in AIP Conf. Proc. (American Institute of Physics), vol. 1185, ed. by B. Cabrera, A. Miller, B. Young (2009), pp. 294–297 Google Scholar