The dark energy survey data management system as a data intensive science gateway. - Kailash Kotwani; James D. Myers; Bill Baker; Joseph J. Mohr; Gregory E. Daues; Tony Darnell; Y. Dora Cai; Michelle Gower; Shantanu Desai; Bob Armstrong; Terrence M. McLaren; Don Petravick; et al. (MGC@Middleware, 2010)

The Euclid Data Processing Challenges. - Pierre Dubath; Nikolaos Apostolakos; Andrea Bonchi; Andrey N. Belikov; Massimo Brescia; Stefano Cavuoti; Peter Capak; Jean Coupon; Christophe Dabin; Hubert Degaudenzi; Shantanu Desai; Florian Dubath; et al. (Astroinformatics, 2016)

ComEst: A completeness estimator of source extraction on astronomical imaging. - I. Chiu; Shantanu Desai; Jia Liu (Astron. Comput., 2016)

Detection and removal of artifacts in astronomical images. - Shantanu Desai; Joseph J. Mohr; Emmanuel Bertin; Martin Kuemmel; Markus Wetzstein (Astron. Comput., 2016)

Crowdsourcing quality control for Dark Energy Survey images. - Peter Melchior; Erin Sheldon; Alex Drlica-Wagner; Eli S. Rykoff; Timothy M. C. Abbott; Filipe B. Abdalla; Sahar Allam; Aurélien Benoit-Lévy; David D. Brooks; Elizabeth Buckley-Geer; Aurelio Carnero Rosell; Matias Carrasco Kind; et al. (Astron. Comput., 2016)

Separation of pulsar signals from noise using supervised machine learning algorithms. - S. Bethapudi; Shantanu Desai (Astron. Comput., 2018)

DES science portal: Computing photometric redshifts. - Julia Gschwend; A. Carnero Rossel; Ricardo Ogando; Angelo Fausti Neto; Marcio A. G. Maia; Luiz Nicolaci da Costa; Marcos Lima; Paulo S. S. Pellegrini; Riccardo Campisano; C. Singulani; C. Adean; Christophe O. Benoist; et al. (Astron. Comput., 2018)

DES science portal: Creating science-ready catalogs. - Angelo Fausti Neto; Luiz Nicolaci da Costa; Aurelio Carnero Rosell; Julia Gschwend; R. L. C. Ogando; Flavia Sobreira; Marcio A. G. Maia; Basillio X. Santiago; Rogério Rosenfeld; C. Singulani; C. Adean; L. D. P. Nunes; et al. (Astron. Comput., 2018)

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. - Ken Herner; James Annis; Dillon Brout; Marcelle Soares-Santos; Richard Kessler; Masao Sako; Ray F. Butler; Zoheyr Doctor; Antonella Palmese; Sahar Allam; Douglas L. Tucker; Flavia Sobreira; et al. (Astron. Comput., 2020)

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. - Ben Henghes; Ofer Lahav; David W. Gerdes; E. Lin; Robert Morgan; Timothy M. C. Abbott; Michel Aguena; Sahar Allam; James Annis; Santiago Ávila; Emmanuel Bertin; David D. Brooks; et al. (CoRR, 2020)

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Sunil Mucesh; William G. Hartley; Antonella Palmese; Ofer Lahav; L. Whiteway; A. Amon; Keith C. Bechtol; Gary M. Bernstein; Aurelio Carnero Rosell; Matias Carrasco Kind; A. Choi; K. Eckert; et al. (CoRR, 2020)

Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. - Srinadh Reddy Bhavanam; Sumohana S. Channappayya; P. K. Srijith; Shantanu Desai (EUSIPCO, 2022)

Cosmic Ray rejection with attention augmented deep learning. - Srinadh Reddy Bhavanam; Sumohana S. Channappayya; P. K. Srijith; Shantanu Desai (Astron. Comput., 2022)

Galaxy morphology classification using neural ordinary differential equations. - R. Gupta; P. K. Srijith; Shantanu Desai (Astron. Comput., 2022)

Impact factors of astrophysics journals revisited. - Rayani Venkat Sai Rithvik; Shantanu Desai (CoRR, 2024)