Search

Your search keyword '"Paula Szkody"' showing total 8 results
Start Over Author "Paula Szkody" Database NASA Technical Reports
8 results on '"Paula Szkody"'

6. The Zwicky Transient Facility: Science Objectives

Author

Matthew J. Graham, S. R. Kulkarni, Eric C. Bellm, Scott M. Adams, Cristina Barbarino, Nadejda Blagorodnova, Dennis Bodewits, Bryce Bolin, Patrick R. Brady, S. Bradley Cenko, Chan-Kao Chang, Michael W. Coughlin, Kishalay De, Gwendolyn Eadie, Tony L. Farnham, Ulrich Feindt, Anna Franckowiak, Christoffer Fremling, Suvi Gezari, Shaon Ghosh, Daniel A. Goldstein, V. Zach Golkhou, Ariel Goobar, Anna Y. Q. Ho, Daniela Huppenkothen, Željko Ivezić, R. Lynne Jones, Mario Juric, David L. Kaplan, Mansi M. Kasliwal, Michael S. P. Kelley, Thomas Kupfer, Chien-De Lee, Hsing Wen Lin, Ragnhild Lunnan, Ashish A. Mahabal, Adam A. Miller, Chow-Choong Ngeow, Peter Nugent, Eran O. Ofek, Thomas A. Prince, Ludwig Rauch, Jan van Roestel, Steve Schulze, Leo P. Singer, Jesper Sollerman, Francesco Taddia, Lin Yan, Quan-Zhi Ye, Po-Chieh Yu, Tom Barlow, James Bauer, Ron Beck, Justin Belicki, Rahul Biswas, Valery Brinnel, Tim Brooke, Brian Bue, Mattia Bulla, Rick Burruss, Andrew Connolly, John Cromer, Virginia Cunningham, Richard Dekany, Alex Delacroix, Vandana Desai, Dmitry A. Duev, Michael Feeney, David Flynn, Sara Frederick, Avishay Gal-Yam, Matteo Giomi, Steven Groom, Eugean Hacopians, David Hale, George Helou, John Henning, David Hover, Lynne A. Hillenbrand, Justin Howell, Tiara Hung, David Imel, Wing-Huen Ip, Edward Jackson, Shai Kaspi, Stephen Kaye, Marek Kowalski, Emily Kramer, Michael Kuhn, Walter Landry, Russ R. Laher, Peter Mao, Frank J. Masci, Serge Monkewitz, Patrick Murphy, Jakob Nordin, Maria T. Patterson, Bryan Penprase, Michael Porter, Umaa Rebbapragada, Dan Reiley, Reed Riddle, Mickael Rigault3, Hector Rodriguez, Ben Rusholme, Jakob van Santen, David L. Shupe, Roger M. Smith, Maayane T. Soumagnac, Robert Stein, Jason Surace, Paula Szkody, Scott Terek, Angela Van Sistine, Sjoert van Velzen, W. Thomas Vestrand3, Richard Walters, Charlotte Ward, Chaoran Zhang, and Jeffry Zolkower

Subjects
Astronomy
Abstract

The Zwicky Transient Facility (ZTF), a public–private enterprise, is a new time-domain survey employing a dedicated camera on the Palomar 48-inch Schmidt telescope with a 47 sq. deg field of view and an 8 second readout time. It is well positioned in the development of time-domain astronomy, offering operations at 10% of the scale and style of the Large Synoptic Survey Telescope (LSST) with a single 1-m class survey telescope. The public surveys will cover the observable northern sky every three nights in g and r filters and the visible Galactic plane every night in g and r. Alerts generated by these surveys are sent in real time to brokers. A consortium of universities that provided funding (“partnership”) are undertaking several boutique surveys. The combination of these surveys producing one million alerts per night allows for exploration of transient and variable astrophysical phenomena brighter than r ~20.5 on timescales of minutes to years. We describe the primary science objectives driving ZTF, including the physics of supernovae and relativistic explosions, multi-messenger astrophysics, supernova cosmology, active galactic nuclei, and tidal disruption events, stellar variability, and solar system objects.

Published
2019
Full Text
View/download PDF

7. Machine Learning for the Zwicky Transient Facility

Author

Ashish Mahabal, Umaa D 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 L 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, and Darryl Wright

Subjects
Computer Programming And Software
Abstract

The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here various machine learning (ML) implementations and plans to make the maximal use of the large data set by taking advantage of the temporal nature of the data, and further combining it with other data sets. We start with the initial steps of separating bogus candidates from real ones, separating stars and galaxies, and go on to the classification of real objects into various classes. Besides the usual methods (e.g., based on features extracted from light curves) we also describe early plans for alternate methods including the use of domain adaptation, and deep learning. In a similar fashion we describe efforts to detect fast moving asteroids. We also describe the use of the Zooniverse platform for helping with classifications through the creation of training samples, and active learning. Finally we mention the synergistic aspects of ZTF and LSST from the ML perspective.

Published
2019
Full Text
View/download PDF

8. The Zwicky Transient Facility: System Overview, Performance, and First Results

Author

Eric C. Bellm, Shrinivas R. Kulkarni, Matthew J. Graham, Richard Dekany, Roger M. Smith, Reed Riddle, Frank J. Masci, George Helou, Thomas A. Prince, Scott M. Adams, C. Barbarino, Tom Barlow, James Bauer, Ron Beck, Justin Belicki, Rahul Biswas, Nadejda Blagorodnova, Dennis Bodewits, Bryce Bolin, Valery Brinnel, Tim Brooke, Brian Bue, Mattia Bulla, Rick Burruss, S. Bradley Cenko, Chan-Kao Chang, Andrew Connolly, Michael Coughlin, John Cromer, Virginia Cunningham, Kishalay De, Alex Delacroix, Vandana Desai, Dmitry A. Duev, Gwendolyn Eadie, Tony L. Farnham, Michael Feeney, Ulrich Feindt, David Flynn, Anna Franckowiak, Sara Frederick, C. Fremling, Avishay Gal-Yam, Suvi Gezari, Matteo Giomi, Daniel A. Goldstein, V. Zach Golkhou, Ariel Goobar, Steven Groom, Eugean Hacopians, David Hale, John Henning, Anna Y. Q. Ho, David Hover, Justin Howell, Tiara Hung, Daniela Huppenkothen, David Imel, Wing-Huen Ip, Željko Ivezić, Edward Jackson, Lynne Jones, Mario Juric, Mansi M. Kasliwal, S. Kaspi, Stephen Kaye, Michael S. P. Kelley, Marek Kowalski, Emily Kramer, Thomas Kupfer, Walter Landry, Russ R. Laher, Chien-De Lee, Hsing Wen Lin, Zhong-Yi Lin, Ragnhild Lunnan, Ashish Mahabal, Peter Mao, Adam A. Miller, Serge Monkewitz, Patrick Murphy, Chow-Choong Ngeow, Jakob Nordin, Peter Nugent, Eran Ofek, Maria T. Patterson, Bryan Penprase, Michael Porter, Ludwig Rauch, Umaa Rebbapragada, Dan Reiley, Mickael Rigault, Hector Rodriguez, Jan van Roestel, Ben Rusholme, Jakob van Santen, S. Schulze, David L. Shupe, Leo P. Singer, Maayane T. Soumagnac, Robert Stein, Jason Surace, Jesper Sollerman, Paula Szkody, F. Taddia, Scott Terek, Angela Van Sistine, Sjoert van Velzen, W. Thomas Vestrand, Richard Walters, CharlotteWard, Quan-Zhi Ye, Po-Chieh Yu, Lin Yan, and Jeffry Zolkower

Subjects
Astronomy
Abstract

The Zwicky Transient Facility (ZTF) is a new optical time-domain survey that uses the Palomar 48 inch Schmidt telescope. A custom-built wide-field camera provides a 47 deg ^(2) field of view and 8 s readout time, yielding more than an order of magnitude improvement in survey speed relative to its predecessor survey, the Palomar Transient Factory. We describe the design and implementation of the camera and observing system. The ZTF data system at the Infrared Processing and Analysis Center provides near-real-time reduction to identify moving and varying objects. We outline the analysis pipelines, data products, and associated archive. Finally, we present on-sky performance analysis and first scientific results from commissioning and the early survey. ZTF’s public alert stream will serve as a useful precursor for that of the Large Synoptic Survey Telescope.

Published
2018
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results