Secondary standards in the UKIRT faint standard fields
Marek Górski, Grzegorz Pietrzyński, Paulina Karczmarek, Gergely Hajdu, Mirosław Kicia, Mikołaj Kałuszyński, Joseph R. Eimer, Stephen A. Smee, Bartłomiej Zgirski, Piotr Wielgórski, Weronika Narloch
TL;DR
This study addresses the need for dense, faint infrared standard stars to improve photometric calibrations. It presents a decade-long, multi-night campaign (2008–2018) with the NTT/SOFI at La Silla to produce 128 secondary standards in 19 UKIRT/MKO faint standard fields, calibrated in the MKO system for the $J$ and $K$ bands. The authors implement rigorous photometry and a differential-star analysis to ensure stability, achieving magnitudes from $J$ to $K$ with precision better than $0.01$ mag and median values of $ ilde{J}=13.5$ and $ ilde{K}=13.0$, while providing a robust standardization scheme including a two-period color-term treatment due to instrumental changes. The resulting catalog enables improved calibration accuracy for UKIRT and other infrared observations without extra observing overhead, benefiting precision photometry in deep surveys and distance-scale work.
Abstract
We present precise J- and K-band photometric measurements for 128 near-infrared secondary standard stars, located in the 19 UKIRT/MKO primary faint standard fields. The data were collected over more than 50 nights, covering a decade of observations between 2008 and 2018 at the ESO La Silla Observatory, using the New Technology Telescope (NTT) equipped with the SOFI NIR camera. Presented magnitudes are calibrated onto the MKO photometric system. The J- and K-band magnitudes range from 10 to 15.8 mag, with median values of $\tilde{J}$ = 13.5 and $\tilde{K}$ = 13 mag. The selection process ensured high photometric quality, with a precision better than 0.01 mag for all stars. The catalog excludes stars with close neighbors, high proper motion, or variable stars. Using these fields for standardization can improve the precision and accuracy of photometric calibrations without increasing the observational time cost.
