On the use of asymmetric PSF on NIR images of crowded stellar fields
Giuliana Fiorentino, Ivan Ferraro, Giacinto Iannicola, Giuseppe Bono,, Matteo Monelli, Vincenzo Testa, Carmelo Arcidiacono, Marco Faccini, Roberto, Gilmozzi, Marco Xompero, Runa Briguglio

TL;DR
This paper demonstrates the use of asymmetric PSF modeling with adaptive optics in near-infrared images of crowded stellar fields, achieving unprecedented depth and precision in photometry, and applying it to estimate the age of the globular cluster M15.
Contribution
It introduces an updated ROMAFOT photometry method utilizing asymmetric PSFs, improving accuracy in crowded fields with complex PSF shapes.
Findings
Achieved the deepest Ks-band magnitude in crowded fields (~23 mag).
Identified the main sequence knee (MSK) feature in NIR bands.
Estimated the age of M15 as 13.70+-0.80 Gyr using the MSK method.
Abstract
We present data collected using the camera PISCES coupled with the Firt Light Adaptive Optics (FLAO) mounted at the Large Binocular Telescope (LBT). The images were collected using two natural guide stars with an apparent magnitude of R<13 mag. During these observations the seeing was on average ~0.9". The AO performed very well: the images display a mean FWHM of 0.05 arcsec and of 0.06 arcsec in the J- and in the Ks-band, respectively. The Strehl ratio on the quoted images reaches 13-30% (J) and 50-65% (Ks), in the off and in the central pointings respectively. On the basis of this sample we have reached a J-band limiting magnitude of ~22.5 mag and the deepest Ks-band limiting magnitude ever obtained in a crowded stellar field: Ks~23 mag. J-band images display a complex change in the shape of the PSF when moving at larger radial distances from the natural guide star. In particular,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
