375 citations · 2.8k across the 57 of their papers we have counts for
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The shell around VY Canis Majoris in SPHEREx is likely an artifact
Viraj Karambelkar, Yashvi Sharma, Kishalay De
Recently, the presence of a large shell around the bright hypergiant star VY Canis Majoris was reported in images from the SPHEREx mission. We report similar shells around other br…
AppleCiDEr. II. SpectraNet: A Spectroscopic Neural Network Classifier for Transients Demonstrated on ZTF Follow-up Data
Maojie Xu, Argyro Sasli, Alexandra Junell +21
Time-domain surveys such as the Zwicky Transient Facility have opened a new frontier in the discovery and characterization of transients. While photometric light curves provide bro…
CCSNscore: A multi-input deep learning tool for classification of core-collapse supernovae using SED-Machine spectra
Yashvi Sharma, Ashish A. Mahabal, Jesper Sollerman +16
Supernovae (SNe) come in various flavors and are classified into different types based on emission and absorption lines in their spectra. SN candidates are now abundant with the ad…
How accurate are transient spectral classification tools? -- A study using 4,646 SEDMachine spectra
Young-Lo Kim, Isobel Hook, Andrew Milligan +13
Accurate classification of transients obtained from spectroscopic data are important to understand their nature and discover new classes of astronomical objects. For supernovae (SN…
India's first robotic eye for time domain astrophysics: the GROWTH-India telescope
Harsh Kumar, Varun Bhalerao, G. C. Anupama +35
We present the design and performance of the GROWTH-India telescope, a 0.7 m robotic telescope dedicated to time-domain astronomy. The telescope is equipped with a 4k back-illumina…
New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: BYECR and CONTSEP
Y. -L. Kim, M. Rigault, J. D. Neill +9
Currently time-domain astronomy can scan the entire sky on a daily basis, discovering thousands of interesting transients every night. Classifying the ever-increasing number of new…
SNIascore: Deep Learning Classification of Low-Resolution Supernova Spectra
Christoffer Fremling, Xander J. Hall, Michael W. Coughlin +18
We present SNIascore, a deep-learning based method for spectroscopic classification of thermonuclear supernovae (SNe Ia) based on very low-resolution (R ) data. The goal o…