Back to Search
Start Over
Digital Signal Processing Based on a Clustering Algorithm for Ir/Au TES Microcalorimeter.
- Source :
-
IEEE Transactions on Nuclear Science . Feb2006 Part 2, Vol. 53 Issue 1, p259-264. 6p. 4 Diagrams, 10 Graphs. - Publication Year :
- 2006
-
Abstract
- In recent years, cryogenic microcalorimeters using their superconducting transition edge have been under development for possible application to the research for astronomical X-ray observations. To improve the energy resolution of superconducting transition edge sensors (TES), several correction methods have been developed. Among them, a clustering method based on digital signal processing has recently been proposed. In this paper, we applied the clustering method to Ir/Au bilayer TES. This method resulted in almost a 10% improvement in the energy resolution. Conversely, from the point of view of imaging X-ray spectroscopy, we applied the clustering method to pixellated Ir/Au-TES devices. We will thus show how a clustering method which sorts signals by their shapes is also useful for position identification. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189499
- Volume :
- 53
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Nuclear Science
- Publication Type :
- Academic Journal
- Accession number :
- 20451390
- Full Text :
- https://doi.org/10.1109/TNS.2006.869824