Extended Bayesian Estimation for In-flight Calibration of Space-based Instruments
Abstract Number:
2469
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Poster
Participants:
Soham Das (1), Yang Chen (2), Herman Marshall (3), Vinay Kashyap (4) (,5), David van Dyk (6)
Institutions:
(1) University of Michigan - Ann Arbor, N/A, (2) University of Michigan, N/A, (3) MIT, N/A, (4) Center for Astrophysics , N/A, (5) Harvard & Smithsonian, N/A, (6) Imperial College London, N/A
Co-Author(s):
First Author:
Presenting Author:
Abstract Text:
Instrument calibration is essential for space-based instruments to ensure accurate measurements of physical quantities, such as photon flux from astronomical sources. This process involves in-flight adjustments to address discrepancies arising from instrument-specific variations. To enhance calibration reliability, we propose a Bayesian hierarchical spectral model that leverages domain-specific priors and integrates information across different spectra, instruments, and sources. By analyzing measurements of the same set of objects from multiple instruments, the model estimates posterior uncertainties for calibration parameters and infers about structural parameters with statistical significance. Using a log-normal approximation for photon counts, our approach provides a principled alternative to empirical methods, improving the calibration of new equipment.
Keywords:
bayesian hierarchical model|shrinkage estimator|high energy spectral model| | |
Sponsors:
Section on Bayesian Statistical Science
Tracks:
Applications in Applied Sciences
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