Random forests method to discover high-redshift QSOs

Lukas Wenzl (Creator)
Jan Torge Schindler (Creator)
Xiaohui Fan (Creator)
Irham Taufik Andika (Creator)
E. Bañados (Contributor)
Roberto Decarli (Creator)
K. Jahnke (Creator)
C. Mazzucchelli (Creator)
Masafusa Onoue (Creator)
B. Venemans (Creator)
F. Walter (Creator)
Jinyi Yang (Creator)

Dataset

Description

VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Random forests as a viable method to select and discover high-redshift quasars.' (bibcode: 2021AJ....162...72W)

Date made available	2021
Publisher	Centre de Donnees Strasbourg (CDS)

DOI
10.26093/cds/vizier.51620072

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Refer to CDS usage

1 Article

Random Forests as a Viable Method to Select and Discover High-redshift Quasars
Wenzl, L., Schindler, J. T., Fan, X., Andika, I. T., Bañados, E., Decarli, R., Jahnke, K., Mazzucchelli, C., Onoue, M., Venemans, B. P., Walter, F. & Yang, J., Aug 2021, In: Astronomical Journal. 162, 2, 72.
Research output: Contribution to journal › Article › peer-review
10 Scopus citations

Cite this

Wenzl, L. (Creator), Schindler, J. (Creator), Fan, X. (Creator), Andika, I. T. (Creator), Bañados, E. (Contributor), Decarli, R. (Creator), Jahnke, K. (Creator), Mazzucchelli, C. (Creator), Onoue, M. (Creator), Venemans, B. P. (Creator), Walter, F. (Creator), Yang, J. (Creator) (2021). Random forests method to discover high-redshift QSOs. Centre de Donnees Strasbourg (CDS). 10.26093/cds/vizier.51620072

Random forests method to discover high-redshift QSOs

Description

DOI

Access Dataset

Research output

Random Forests as a Viable Method to Select and Discover High-redshift Quasars

Cite this