76 citations · 76 across the 1 of their papers we have counts for
3 papers
A population of heavily reddened, optically missed novae from Palomar Gattini-IR: Constraints on the Galactic nova rate
Kishalay De, Mansi M. Kasliwal, Matthew J. Hankins +25
The nova rate in the Milky Way remains largely uncertain, despite its vital importance in constraining models of Galactic chemical evolution as well as understanding progenitor cha…
Interpreting deep learning models for weak lensing
José Manuel Zorrilla Matilla, Manasi Sharma, Daniel Hsu +1
Deep Neural Networks (DNNs) are powerful algorithms that have been proven capable of extracting non-Gaussian information from weak lensing (WL) data sets. Understanding which featu…
Palomar Gattini-IR: Survey overview, data processing system, on-sky performance and first results
Kishalay De, Matthew J. Hankins, Mansi M. Kasliwal +24
(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,…