Publication Details
| Title | A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys |
|---|---|
| Author(s) | Chartab, Nima and Mobasher, Bahram and Cooray, Asantha R. and Hemmati, Shoubaneh and Sattari, Zahra and Ferguson, Henry C. and Sanders, David B. and Weaver, John R. and Stern, Daniel K. and McCracken, Henry J. and Masters, Daniel C. and Toft, Sune and Capak, Peter L. and Davidzon, Iary and Dickinson, Mark E. and Rhodes, Jason and Moneti, Andrea and Ilbert, Olivier and Zalesky, Lukas and McPartland, Conor J. R. and Szapudi, István and Koekemoer, Anton M. and Teplitz, Harry I. and Giavalisco, Mauro |
| Journal | ApJ , 2023, 942, 91 |
| ADS | 2023ApJ...942...91C |
| DOI | 10.3847/1538-4357/acacf5 |
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.