Roberts, Hayley, Darling, Jeremy, and Baker, Andrew J. OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers. Retrieved from https://par.nsf.gov/biblio/10285789. The Astrophysical Journal 911.1 Web. doi:10.3847/1538-4357/abe944.
Roberts, Hayley, Darling, Jeremy, & Baker, Andrew J. OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers. The Astrophysical Journal, 911 (1). Retrieved from https://par.nsf.gov/biblio/10285789. https://doi.org/10.3847/1538-4357/abe944
Roberts, Hayley, Darling, Jeremy, and Baker, Andrew J.
"OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers". The Astrophysical Journal 911 (1). Country unknown/Code not available. https://doi.org/10.3847/1538-4357/abe944.https://par.nsf.gov/biblio/10285789.
@article{osti_10285789,
place = {Country unknown/Code not available},
title = {OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers},
url = {https://par.nsf.gov/biblio/10285789},
DOI = {10.3847/1538-4357/abe944},
abstractNote = {},
journal = {The Astrophysical Journal},
volume = {911},
number = {1},
author = {Roberts, Hayley and Darling, Jeremy and Baker, Andrew J.},
editor = {null}
}
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