Palomar Gattini-IR: Survey overview, data processing system, on-sky performance and first results
Abstract
(Abridged) Palomar Gattini-IR is a new wide-field, near-infrared robotic time domain survey operating at Palomar Observatory. Using a 30 cm telescope mounted with a H2RG detector, Gattini-IR achieves a field of view of 25 sq. deg. with a pixel scale of 8.7" in J-band. Here, we describe the system design, survey operations, data processing system and on-sky performance of Palomar Gattini-IR. As a part of the nominal survey, Gattini-IR scans square degrees of the sky every night to a median 5 depth of AB mag outside the Galactic plane. The survey covers square degrees of the sky visible from Palomar with a median cadence of 2 days. A real-time data processing system produces stacked science images from dithered raw images taken on sky, together with PSF-fit source catalogs and transient candidates identified from subtractions within a median delay of hours from the time of observation. The calibrated data products achieve an astrometric accuracy (RMS) of " with respect to Gaia DR2 for sources with S/N , and better than " for sources brighter than Vega mag. The photometric accuracy (RMS) achieved in the PSF-fit source catalogs is better than % for sources brighter than Vega mag, as calibrated against the 2MASS catalog. With a field of view larger than any other existing near infrared imaging instrument, Gattini-IR is probing the reddest and dustiest transients in the local universe such as dust obscured supernovae in nearby galaxies, novae behind large columns of extinction within the galaxy, reddened micro-lensing events in the Galactic plane and variability from cool and dust obscured stars. We present results from transients and variables identified since the start of the commissioning period.
Keywords
Cite
@article{arxiv.1910.13319,
title = {Palomar Gattini-IR: Survey overview, data processing system, on-sky performance and first results},
author = {Kishalay De and Matthew J. Hankins and Mansi M. Kasliwal and Anna M. Moore and Eran O. Ofek and Scott M. Adams and Michael C. B. Ashley and Aliya-Nur Babul and Ashot Bagdasaryan and Kevin B. Burdge and Jill Burnham and Richard G. Dekany and Alexander Declacroix and Antony Galla and Tim Greffe and David Hale and Jacob E. Jencson and Ryan M. Lau and Ashish Mahabal and Daniel McKenna and Manasi Sharma and Patrick L. Shopbell and Roger M. Smith and Jamie Soon and Jennifer Sokoloski and Roberto Soria and Tony Travouillon},
journal= {arXiv preprint arXiv:1910.13319},
year = {2020}
}
Comments
35 pages, 29 figures. Submitted to PASP