Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning

1 code implementation • 26 Feb 2021 • Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham, Michael S. P. Kelley, Ashish Mahabal, Eric C. Bellm, Michael W. Coughlin, Richard Dekany, George Helou, Shrinivas R. Kulkarni, Frank J. Masci, Thomas A. Prince, Reed Riddle, Maayane T. Soumagnac, Stéfan J. van der Walt

We present Tails, an open-source deep-learning framework for the identification and localization of comets in the image data of the Zwicky Transient Facility (ZTF), a robotic optical time-domain survey currently in operation at the Palomar Observatory in California, USA.

Time-series and Phasecurve Photometry of Episodically-Active Asteroid (6478) Gault in a Quiescent State Using APO, GROWTH, P200 and ZTF

no code implementations • 25 Feb 2021 • Josiah N. Purdum, Zhong-Yi Lin, Bryce T. Bolin, Kritti Sharma, Phillip I. Choi, Varun Bhalerao, Harsh Kumar, Robert Quimby, Joannes C. Van Roestel, Chengxing Zhai, Yanga R. Fernandez, Josef Hanuš, Carey M. Lisse, Dennis Bodewits, Christoffer Fremling, Nathan Ryan Golovich, Chen-Yen Hsu, Wing-Huen Ip, Chow-Choong Ngeow, Navtej S. Saini, Michael Shao, Yuhan Yao, Tomás Ahumada, Shreya Anand, Igor Andreoni, Kevin B. Burdge, Rick Burruss, Chan-Kao Chang, Chris M. Copperwheat, Michael Coughlin, Kishalay De, Richard Dekany, Alexandre Delacroix, Andrew Drake, Dmitry Duev, Matthew Graham, David Hale, Erik C. Kool, Mansi M. Kasliwal, Iva S. Kostadinova, Shrinivas R. Kulkarni, Russ R. Laher, Ashish Mahabal, Frank J. Masci, Przemyslaw J. Mróz, James D. Neill, Reed Riddle, Hector Rodriguez, Roger M. Smith, Richard Walters, Lin Yan, Jeffry Zolkower

We observed Episodically Active Asteroid (6478) Gault in 2020 with multiple telescopes in Asia and North America and have found that it is no longer active after its recent outbursts at the end of 2018 and start of 2019.

Time Series Analysis Earth and Planetary Astrophysics

A population of heavily reddened, optically missed classical novae from Palomar Gattini-IR: Constraints on the Galactic nova rate

no code implementations • 11 Jan 2021 • Kishalay De, Mansi M. Kasliwal, Matthew J. Hankins, Jennifer L. Sokoloski, Scott M. Adams, Michael C. B. Ashley, Aliya-Nur Babul, Ashot Bagdasaryan, Alexander Delacroix, Richard Dekany, Timothee Greffe, David Hale, Jacob E. Jencson, Viraj R. Karambelkar, Ryan M. Lau, Ashish Mahabal, Daniel McKenna, Anna M. Moore, Eran O. Ofek, Manasi Sharma, Roger M. Smith, Jamie Soon, Roberto Soria, Gokul Srinivasaragavan, Samaporn Tinyanont, Tony Travouillon

We perform the first quantitative simulation of a $3\pi$ time domain survey to estimate the Galactic nova rate using PGIR, and derive a rate of $\approx 46\pm13$ yr$^{-1}$.

High Energy Astrophysical Phenomena Astrophysics of Galaxies Solar and Stellar Astrophysics

The Broad-lined Ic Supernova ZTF18aaqjovh (SN 2018bvw): An Optically-discovered Engine-driven Supernova Candidate with Luminous Radio Emission

1 code implementation • 21 Dec 2019 • Anna Y. Q. Ho, Alessandra Corsi, S. Bradley Cenko, Francesco Taddia, S. R. Kulkarni, Scott Adams, Kishalay De, Richard Dekany, Dmitry D. Frederiks, Christoffer Fremling, V. Zach Golkhou, Thomas Kupfer, Russ R. Laher, Ashish Mahabal, Frank J. Masci, Adam A. Miller, James D. Neill, Daniel Reiley, Reed Riddle, Anna Ridnaia, Ben Rusholme, Yashvi Sharma, Jesper Sollerman, Maayane T. Soumagnac, Dmitry S. Svinkin, David L. Shupe

We present ZTF18aaqjovh (SN 2018bvw), a high-velocity ("broad-lined") stripped-envelope (Type Ic) supernova (Ic-BL SN) discovered in the Zwicky Transient Facility one-day cadence survey.

High Energy Astrophysical Phenomena

DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning

1 code implementation • 11 Apr 2019 • Dmitry A. Duev, Ashish Mahabal, Quan-Zhi Ye, Kushal Tirumala, Justin Belicki, Richard Dekany, Sara Frederick, Matthew J. Graham, Russ R. Laher, Frank J. Masci, Thomas A. Prince, Reed Riddle, Philippe Rosnet, Maayane T. Soumagnac

We present DeepStreaks, a convolutional-neural-network, deep-learning system designed to efficiently identify streaking fast-moving near-Earth objects that are detected in the data of the Zwicky Transient Facility (ZTF), a wide-field, time-domain survey using a dedicated 47 sq.

Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics

Machine Learning for the Zwicky Transient Facility

1 code implementation • 5 Feb 2019 • Ashish Mahabal, Umaa Rebbapragada, Richard Walters, Frank J. Masci, Nadejda Blagorodnova, Jan van Roestel, Quan-Zhi Ye, Rahul Biswas, Kevin Burdge, Chan-Kao Chang, Dmitry A. Duev, V. Zach Golkhou, Adam A. Miller, Jakob Nordin, Charlotte Ward, Scott Adams, Eric C. Bellm, Doug Branton, Brian Bue, Chris Cannella, Andrew Connolly, Richard Dekany, Ulrich Feindt, Tiara Hung, Lucy Fortson, Sara Frederick, C. Fremling, Suvi Gezari, Matthew Graham, Steven Groom, Mansi M. Kasliwal, Shrinivas Kulkarni, Thomas Kupfer, Hsing Wen Lin, Chris Lintott, Ragnhild Lunnan, John Parejko, Thomas A. Prince, Reed Riddle, Ben Rusholme, Nicholas Saunders, Nima Sedaghat, David L. Shupe, Leo P. Singer, Maayane T. Soumagnac, Paula Szkody, Yutaro Tachibana, Kushal Tirumala, Sjoert van Velzen, Darryl Wright

The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night.

Instrumentation and Methods for Astrophysics