Identification of RR Lyrae stars in multiband, sparsely sampled data from the Dark Energy Survey using template fitting and random forest classification

DES Collaboration, Daniel Thomas

Research output: Contribution to journalArticlepeer-review

119 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Identification of RR Lyrae stars in multiband, sparsely sampled data from the Dark Energy Survey using template fitting and random forest classification'. Together they form a unique fingerprint.

INIS

Physics