Optimal stellar photometry for multi-conjugate adaptive optics systems using science-based metrics
P. Turri, A. W. McConnachie, P. B. Stetson, G. Fiorentino, D. R., Andersen, G. Bono, D. Massari, J.-P. Veran

TL;DR
This paper evaluates the performance of multi-conjugate adaptive optics for precise stellar photometry in crowded fields, demonstrating optimal strategies and comparing results with HST data to inform future extremely large telescope systems.
Contribution
It provides an analysis of PSF variability in MCAO systems and proposes an optimal photometry strategy based on science metrics, advancing ground-based stellar photometry techniques.
Findings
PSF variability occurs mainly within the control radius of MCAO.
Optimal photometry is achieved when PSF radius matches the control radius.
Deep CMDs reaching below the main sequence knee are obtained from ground-based data.
Abstract
We present a detailed discussion of how to obtain precise stellar photometry in crowded fields using images from multi-conjugate adaptive optics (MCAO) systems, with the intent of informing the scientific development of this key technology for the Extremely Large Telescopes. We use deep J and K_s exposures of NGC 1851 taken with the Gemini Multi-Conjugate Adaptive Optics System (GeMS) on Gemini South to quantify the performance of the instrument and to develop an optimal strategy for stellar photometry using PSF-fitting techniques. We judge the success of the various methods we employ by using science-based metrics, particularly the width of the main sequence turn-off region. We also compare the GeMS photometry with the exquisite HST data in the visible of the same target. We show that the PSF produced by GeMS possesses significant spatial and temporal variability that must be accounted…
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