4 citations · 5 across the 4 of their papers we have counts for
4 papers
Deconvolution for Large Astronomical Surveys: A Study of the Scaled Gradient Projection Method on Zwicky Transient Facility Data
Yash Gondhalekar, Richard M. Feder, Matthew J. Graham +4
Ground-based astronomical observations will continue to produce resolution-limited images due to atmospheric seeing. Deconvolution reverses such effects and thus can benefit extrac…
Light Curve Classification with DistClassiPy: a new distance-based classifier
Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi +1
The rise of synoptic sky surveys has ushered in an era of big data in time-domain astronomy, making data science and machine learning essential tools for studying celestial objects…
Global Data in Astronomy: Challenges and Opportunities
Renee Hložek, Chenzhou Cui, Mark Allen +7
Policy Brief on "Global Data in Astronomy: Challenges and Opportunities", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astro…
AstroInformatics: Recommendations for Global Cooperation
Ashish Mahabal, Pranav Sharma, Rana Adhikari +45
Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Develop…