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Area of Science:

  • Physics
  • Astrophysics
  • Instrumentation

Background:

  • Microcalorimeter detectors are crucial for high-resolution X-ray spectroscopy.
  • Conventional optimal filtering techniques can limit data analysis efficiency due to dead time between detected pulses.

Purpose of the Study:

  • To develop and validate a novel data processing technique for microcalorimeter arrays.
  • To improve the live-time of data acquisition by efficiently handling closely spaced pulses.
  • To maintain or enhance spectral resolution compared to existing methods.

Main Methods:

  • A new filtering approach is applied to the entire pixel data stream, optimizing for both pulse amplitude and arrival time.
  • Filtered pulse templates are used to simultaneously fit multiple pulses within the data stream.
  • Calibration data from the X-ray Quantum Calorimeter (XQC) sounding rocket payload was utilized for analysis.

Main Results:

  • The technique significantly improves live-time compared to conventional optimal filtering.
  • Closely spaced pulses, separated by as little as the detector rise-time, were successfully recovered.
  • No observable spectral broadening was detected, indicating preserved spectral resolution.

Conclusions:

  • The developed technique offers a superior method for processing microcalorimeter data.
  • This advancement is particularly beneficial for experiments requiring high throughput and resolution, such as X-ray astronomy.
  • The method demonstrates robust performance in recovering closely spaced events, enhancing the scientific return from microcalorimeter instruments.