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Algorithm for finding clusters with a known distribution and its application to photon-number resolution using a superconducting transition-edge sensor |
JOSA B, Vol. 29, Issue 8, pp. 2066-2073 (2012)
http://dx.doi.org/10.1364/JOSAB.29.002066
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Abstract
Improving photon-number resolution of single-photon sensitive detectors is important for many applications, as is extending the range of such detectors. Here we seek improved resolution for a particular superconducting transition-edge sensor (TES) through better processing of the TES output waveforms. With that aim, two algorithms to extract number resolution from TES output waveforms are compared. The comparison is done by processing waveform data sets from a TES illuminated at nine illumination levels by a pulsed laser at 1550 nm. The algorithms are used to sort the individual output waveforms and then create clusters associated with individual photon numbers. The first uses a dot product with the waveform mean (for each illumination level), while the second uses
OCIS Codes
(040.5570) Detectors : Quantum detectors
(120.5630) Instrumentation, measurement, and metrology : Radiometry
ToC Category:
Detectors
History
Original Manuscript: May 8, 2012
Manuscript Accepted: June 21, 2012
Published: July 20, 2012
Citation
Zachary H. Levine, Thomas Gerrits, Alan L. Migdall, Daniel V. Samarov, Brice Calkins, Adriana E. Lita, and Sae Woo Nam, "Algorithm for finding clusters with a known distribution and its application to photon-number resolution using a superconducting transition-edge sensor," J. Opt. Soc. Am. B 29, 2066-2073 (2012)
http://www.opticsinfobase.org/josab/abstract.cfm?URI=josab-29-8-2066
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