The JADES Transient Survey: Discovery and Classification of Supernovae in the JADES Deep Field
Christa DeCoursey, Eiichi Egami, Justin D. R. Pierel, Fengwu Sun,, Armin Rest, David A. Coulter, Michael Engesser, Matthew R. Siebert, Kevin N., Hainline, Benjamin D. Johnson, Andrew J. Bunker, Phillip A. Cargile, Stephane, Charlot, Wenlei Chen, Mirko Curti, Shea DeFour-Remy

TL;DR
The JADES survey utilized JWST's deep infrared imaging to discover and classify 79 supernovae across a wide redshift range, demonstrating JWST's effectiveness in transient detection and expanding understanding of supernovae at high redshifts.
Contribution
This work presents the first systematic search for supernovae at redshifts greater than 2 using JWST deep imaging, including classification and analysis of their light curves.
Findings
79 supernovae discovered across redshifts 0-5.
High-quality multi-epoch data enabled confident supernova classification at z≥2.
Identification of high-redshift supernovae and transient mimics of galaxies.
Abstract
The JWST Advanced Deep Extragalactic Survey (JADES) is a multi-cycle JWST program that has taken among the deepest near-/mid-infrared images to date (down to 30 ABmag) over 25 arcmin in the GOODS-S field in two sets of observations with one year of separation. This presented the first opportunity to systematically search for transients, mostly supernovae (SNe), out to 2. We found 79 SNe: 38 at 2, 23 at 23, 8 at 34, 7 at 45, and 3 with undetermined redshifts, where the redshifts are predominantly based on spectroscopic or highly reliable JADES photometric redshifts of the host galaxies. At this depth, the detection rate is 1-2 per arcmin per year, demonstrating the power of JWST as a supernova discovery machine. We also conducted multi-band follow-up NIRCam observations of a subset of the SNe to better constrain their light…
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