Medeiros, Lia, Lauer, Tod R., Psaltis, Dimitrios, and Özel, Feryal. Principal Component Analysis as a Tool for Characterizing Black Hole Images and Variability. Retrieved from https://par.nsf.gov/biblio/10094610. The Astrophysical Journal 864.1 Web. doi:10.3847/1538-4357/aad37a.
Medeiros, Lia, Lauer, Tod R., Psaltis, Dimitrios, & Özel, Feryal. Principal Component Analysis as a Tool for Characterizing Black Hole Images and Variability. The Astrophysical Journal, 864 (1). Retrieved from https://par.nsf.gov/biblio/10094610. https://doi.org/10.3847/1538-4357/aad37a
Medeiros, Lia, Lauer, Tod R., Psaltis, Dimitrios, and Özel, Feryal.
"Principal Component Analysis as a Tool for Characterizing Black Hole Images and Variability". The Astrophysical Journal 864 (1). Country unknown/Code not available. https://doi.org/10.3847/1538-4357/aad37a.https://par.nsf.gov/biblio/10094610.
@article{osti_10094610,
place = {Country unknown/Code not available},
title = {Principal Component Analysis as a Tool for Characterizing Black Hole Images and Variability},
url = {https://par.nsf.gov/biblio/10094610},
DOI = {10.3847/1538-4357/aad37a},
abstractNote = {},
journal = {The Astrophysical Journal},
volume = {864},
number = {1},
author = {Medeiros, Lia and Lauer, Tod R. and Psaltis, Dimitrios and Özel, Feryal},
}
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