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Optimized transition-edge x-ray microcalorimeter with energy resolution at
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Image of FIG. 1.
FIG. 1.

(a)–(c) Photographs of TES x-ray microcalorimeters A–C. The normal Cu bars are visible underneath the Bi absorbers and appear dark. The superconducting Mo leads appear light. The white arrow indicates the direction of the bias Current I in all devices. The scale is identical in the three photographs.

Image of FIG. 2.
FIG. 2.

Parameter space for transition-edge sensor design. Sensor heat capacity is plotted on the vertical axis. Transition steepness at is plotted on the horizontal axis. Dashed lines are lines of constant . The positions and performance of Sensors A–C are shown in the plot. Best sensor performance is achieved close to the origin of the plot with well matched to the peak photon energy of interest.

Image of FIG. 3.
FIG. 3.

Pulse height spectrum of the complex measured with Device C. The displayed region of the histogram contains 7754 counts obtained over . Pulse heights were obtained by applying a conventional colored-noise optimal filter to digitized pulse records. The solid curve is the result of least-squares fitting to the spectral database of Holzer as modified by Porter (Refs. 12 and 13). The instrumental energy resolution predicted from the fitting is FWHM. For comparison, the dashed and gray curves show least-squares fits where the instrumental resolution was fixed at 2.0 and , respectively.


Generic image for table
Table I.

Device parameter summary.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Optimized transition-edge x-ray microcalorimeter with 2.4eV energy resolution at 5.9keV