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| Paper: |
Point-Spread-Function Interpolation as a Key to Precise Scientific Outcome |
| Volume: |
541, ADASS XXXIII |
| Page: |
430 |
| Authors: |
Mariia Demianenko; Jörg-Uwe Pott; Kai Polsterer |
| DOI: |
10.26624/VHNN9530 |
| Abstract: |
Currently, astronomers perform point spread function (PSF) fitting for
most types of observational data. Interpolation of the PSF is often an intermediate step
in such algorithms. In the case of the Multi-AO Imaging Camera for Deep Observations
(MICADO) at the Extremely Large Telescope (ELT), PSF interpolation will play a
crucial role in high-precision astrometry for stellar clusters and confirmation of the
presence of Intermediate-Mass Black Holes (IMBHs). Significant PSF variations across
the field of view invalidate the approach of deconvolution with a mean PSF or on-axis
PSF. This can be unsatisfactory when performing Single Conjugate Adaptive Optics
(SCAO) observations, as these sophisticated and expensive systems are designed to
achieve high resolution with ground-based telescopes by correcting for atmospheric
turbulence in the direction of one reference star.
In a variety of tasks you face in question: How can I establish the quality of
PSF fitting or interpolation? Our study aims to demonstrate the variety of PSF quality
metrics, including the problem of revealing IMBHs in stellar clusters. |
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