Journal article

Revealing new high-redshift quasar populations through Gaussian mixture model selection

Abstract:: Galaxie

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Wagenveld, J. D., Saxena, A., Duncan, K. J., Röttgering, H. J. A., & Zhang, M. (2022). Revealing new high-redshift quasar populations through Gaussian mixture model selection. Astronomy & Astrophysics, 660, A22–A22.

MLA Style

Wagenveld, JD, et al. “Revealing New High-Redshift Quasar Populations through Gaussian Mixture Model Selection.” Astronomy & Astrophysics, vol. 660, 2022, pp. A22–A22.

Chicago Style

Wagenveld, JD, A Saxena, KJ Duncan, HJA Röttgering, and M Zhang. 2022. “Revealing New High-Redshift Quasar Populations through Gaussian Mixture Model Selection.” Astronomy & Astrophysics 660: A22–A22.
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Files:: Wagenveld_et_al_2022_Revealing_new_high-redshift.pdf

(Preview, Version of record, pdf, 2.6MB, Terms of use)

Publisher copy:: 10.1051/0004-6361/202142445

Authors

+ Wagenveld, JD More by this author

Role:: Author
ORCID:: 0000-0003-1321-0886

+ Saxena, A More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0001-5333-9970

+ Duncan, KJ More by this author

Role:: Author
ORCID:: 0000-0001-6889-8388

+ Röttgering, HJA More by this author

Role:: Author
ORCID:: 0000-0001-8887-2257

+ Zhang, M More by this author

Role:: Author

Publisher:: EDP Sciences
Journal:: Astronomy & Astrophysics More from this journal
Volume:: 660
Pages:: A22-A22
Publication date:: 2022-02-07
Acceptance date:: 2022-01-24
DOI:: 10.1051/0004-6361/202142445
EISSN:: 1432-0746
ISSN:: 0004-6361

Language:: English
Keywords:: Statistics

Redshift

Population

Prior probability

Physics

Astrophysics

Stars

Bayesian probability

Sky

Galaxy

Supermassive black hole

Astronomy

Photometric redshift

Quasar

LOFAR
Pubs id:: 1278558
Local pid:: pubs:1278558
Source identifiers:: W4210845180
Deposit date:: 2026-04-28
ARK identifier:: ark:/29072/ora_96512c21cb5442eda720010fb7c11dfa

Terms of use

Copyright date:: 2022

Licence:: CC Attribution (CC BY)

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