Publication Details
| Title | Predicting the Spectroscopic Features of Galaxies by Applying Manifold Learning on Their Broadband Colors: Proof of Concept and Potential Applications for Euclid, Roman, and Rubin LSST |
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| Author(s) | Jafariyazani, Marziye and Masters, Daniel and Faisst, Andreas L. and Teplitz, Harry I. and Ilbert, Olivier |
| Journal | ApJ , 2024, 967, 60 |
| ADS | 2024ApJ...967...60J |
| DOI | 10.3847/1538-4357/ad38b8 |
Data Sets Used
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from among: COSMOS, BLAST, BOLOCAM, IRTS, MSX, SWAS, BRAVA,
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A best-effort attempt was made to match publications with data sets actually used given available resources. It is possible that in some cases data sets were missed or the publication's use of the data set was indirect or incidental.
A best-effort attempt was made to match publications with data sets actually used given available resources. It is possible that in some cases data sets were missed or the publication's use of the data set was indirect or incidental.