AIROPA IV: Validating point spread function reconstruction on various science cases

We present an analysis of six independent on-sky datasets taken with the Keck-II/NIRC2 instrument. Using off-axis point spread function (PSF) reconstruction software AIROPA, we extract stellar astrometry, photometry, and other fitting metrics to characterize performance this package. test effectiveness AIROPA reconstruct PSF across field view in varying atmospheric conditions, number location reference stars, crowding, telescope position angle (PA). compare astrometric precision residuals between a static model spatially that incorporates instrumental aberrations turbulence during exposures. Most measure show little no improvement variable-PSF mode over single-PSF mode. For one data sets, find photometric is significantly improved (by ∼10 × ) by measuring trend seen photometry as location. nearly all comparable both modes, ∼13 % smaller uncertainty best case. largely confirm variable does not improve for observations. attribute unaccounted are characterized through afternoon adaptive optics (AO) bench calibrations.