Accurate uncertainty estimation in crowded fields: adaptive optics and speckle data
Instrumentation and Methods for Astrophysics
2022-08-12 v1 Astrophysics of Galaxies
Abstract
Optimal error estimation is key to achieve accurate photometry and astrometry. Stellar fluxes and positions in high angular resolution images are typically measured with PSF fitting routines, such as StarFinder. However, the formal uncertainties computed by these software packages tend to seriously underestimate the relevant uncertainties. We present a new approach to deal with this problem using a resampling method to obtain robust and reliable uncertainties without loss of sensitivity.
Cite
@article{arxiv.2208.05483,
title = {Accurate uncertainty estimation in crowded fields: adaptive optics and speckle data},
author = {E. Gallego-Cano and R. Schödel and A. T. Gallego-Calvente and A. M. Ghez},
journal= {arXiv preprint arXiv:2208.05483},
year = {2022}
}