Correcting Gain Drift in TES Detectors for Future X-Ray Satellite Missions

Changes in the operating environment of transition-edge sensor (TES) microcalorimeters can cause variations in the detector gain function over time. If not corrected, this can degrade the spectral resolution, and cause systematic errors in the knowledge of the absolute energy. The non-linear nature...

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Veröffentlicht in:IEEE transactions on applied superconductivity 2023-08, Vol.33 (5), p.1-6
Hauptverfasser: Smith, Stephen J., Witthoeft, Michael C., Adams, Joseph S., Bandler, Simon R., Beaumont, Sophie, Chervenak, James A., Cumbee, Renata S., Eckart, Megan E., Finkbeiner, Fred M., Hull, Sam V., Kelley, Richard L., Kilbourne, Caroline A., Leutenegger, Maurice A., Porter, Frederick S., Sakai, Kazuhiro, Wakeham, Nicholas A., Wassell, Edward J.
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Sprache:eng
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Zusammenfassung:Changes in the operating environment of transition-edge sensor (TES) microcalorimeters can cause variations in the detector gain function over time. If not corrected, this can degrade the spectral resolution, and cause systematic errors in the knowledge of the absolute energy. The non-linear nature of the TES energy scale function and the potential for multiple, simultaneous sources of drift can make effective corrections extremely challenging. Satellite instruments typically employ an on-board calibration source to provide known reference X-ray lines. This allows real-time monitoring of the detector gain stability and provides information that can be used to correct for drifts. Here we discuss progress towards demonstrating that the energy scale requirements can be met for future instruments such as Athena X-IFU. We present measurements (from ∼1-12 keV) on ∼200 pixels in a prototype X-IFU array. We use a non-linear drift correction algorithm that uses two fiducial calibration lines (5.4 keV and 8.0 keV) to track gain and interpolate a new, corrected gain between a set of three pre-calibrated gain functions that span the anticipated range of induced drifts. We demonstrate this algorithm is effective at correcting the full gain scale in the presence of multiple sources of environmental drift.
ISSN:1051-8223
1558-2515
DOI:10.1109/TASC.2023.3258908