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Robert A. Gruendl
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2020 – today
- 2020
- [j3]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, Brian Yanny, H. Thomas Diehl, Joshua A. Frieman, Noemi Glaeser
Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. Astron. Comput. 33: 100425 (2020) - [i4]Ben Henghes, Ofer Lahav, David W. Gerdes, E. Lin, Robert Morgan
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. CoRR abs/2009.12856 (2020) - [i3]S. Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. CoRR abs/2012.05928 (2020)
2010 – 2019
- 2019
- [i2]Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [j2]Angelo Fausti Neto, Luiz Nicolaci da Costa, Aurelio Carnero Rosell
DES science portal: Creating science-ready catalogs. Astron. Comput. 24: 52-69 (2018) - [j1]Julia Gschwend
DES science portal: Computing photometric redshifts. Astron. Comput. 25: 58-80 (2018) - [i1]Asad Khan, Eliu A. Huerta, Sibo Wang, Robert A. Gruendl:
Unsupervised learning and data clustering for the construction of Galaxy Catalogs in the Dark Energy Survey. CoRR abs/1812.02183 (2018)
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