The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
THINK OUTSIDE THE COLOR BOX: PROBABILISTIC TARGET SELECTION AND THE SDSS-XDQSO QUASAR TARGETING CATALOG
Open accessAbstract
We present the SDSS - XDQSO quasar targeting catalog for efficient flux-based quasar target selection down to the faint limit of the Sloan Digital Sky Survey ( SDSS ) catalog, even at medium redshifts (2.5 ≲ z ≲ 3) where the stellar contamination is significant. We build models of the distributions of stars and quasars in flux space down to the flux limit by applying the extreme-deconvolution method to estimate the underlying density. We convolve this density with the flux uncertainties when evaluating the probability that an object is a quasar. This approach results in a targeting algorithm that is more principled, more efficient, and faster than other similar methods. We apply the algorithm to derive low-redshift ( z < 2.2), medium-redshift (2.2 ⩽ z ⩽ 3.5), and high-redshift ( z >3.5) quasar probabilities for all 160,904,060 point sources with dereddened i -band magnitude between 17.75 and 22.45 mag in the 14,555 deg 2 of imaging from SDSS Data Release 8. The catalog can be used to define a uniformly selected and efficient low- or medium-redshift quasar survey, such as that needed for the SDSS-III 's Baryon Oscillation Spectroscopic Survey project. We show that the XDQSO technique performs as well as the current best photometric quasar-selection technique at low redshift, and outperforms all other flux-based methods for selecting the medium-redshift quasars of our primary interest. We make code to reproduce the XDQSO quasar target selection publicly available.
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Schlegel, D. J., Finkbeiner, D. P., & Davis, M. (1998) · The Astrophysical Journal · doi:10.1086/305772 · Cited by 15,126
Self-citationNeural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY
Abazajian, K. N., Adelman-McCarthy, J. K., Agüeros, M. A., Allam, S. S., Prieto, C. A., An, D., Anderson, K. S. J., Anderson, S. F., Annis, J., Bahcall, N. A., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/182/2/543 · Cited by 5,341
Self-citationLSST: From Science Drivers to Reference Design and Anticipated Data Products
Ivezić, Ž., Kahn, S. M., Tyson, J. A., Abel, B., Acosta, E., Allsman, R., Alonso, D., AlSayyad, Y., Anderson, S. F., Andrew, J., et al. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/ab042c · Cited by 4,357
Self-citationThe Sloan Digital Sky Survey Photometric System
Fukugita, M., Ichikawa, T., Gunn, J. E., Doi, M., Shimasaku, K., & Schneider, D. P. (1996) · The Astronomical Journal · doi:10.1086/117915 · Cited by 3,033
Self-citationThe Sloan Digital Sky Survey Photometric Camera
Gunn, J. E., Carr, M., Rockosi, C., Sekiguchi, M., Berry, K., Elms, B., de Haas, E., Ivezić, Ž., Knapp, G., Lupton, R., et al. (1998) · The Astronomical Journal · doi:10.1086/300645 · Cited by 1,692
Self-citationAstrometric Calibration of the Sloan Digital Sky Survey
Pier, J. R., Munn, J. A., Hindsley, R. B., Hennessy, G. S., Kent, S. M., Lupton, R. H., & Ivezić, Ž. (2003) · The Astronomical Journal · doi:10.1086/346138 · Cited by 908
An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
Padmanabhan, N., Schlegel, D. J., Finkbeiner, D. P., Barentine, J. C., Blanton, M. R., Brewington, H. J., Gunn, J. E., Harvanek, M., Hogg, D. W., Ivezić, Ž., et al. (2008) · The Astrophysical Journal · doi:10.1086/524677 · Cited by 591
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Dawson, K. S., Schlegel, D. J., Ahn, C. P., Anderson, S. F., Aubourg, É., Bailey, S., Barkhouser, R. H., Bautista, J. E., Beifiori, A., Berlind, A. A., et al. (2013) · The Astronomical Journal · doi:10.1088/0004-6256/145/1/10 · Cited by 2,051
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Blanton, M. R., Bershady, M. A., Abolfathi, B., Albareti, F. D., Prieto, C. A., Almeida, A., Alonso-García, J., Anders, F., Anderson, S. F., Andrews, B., et al. (2017) · The Astronomical Journal · doi:10.3847/1538-3881/aa7567 · Cited by 1,597
Self-citationAhn, C. P., Alexandroff, R., Allende Prieto, C., Anderson, S. F., Anderton, T., Andrews, B. H., Aubourg, É., Bailey, S., Balbinot, E., Barnes, R., et al. (2012) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/203/2/21 · Cited by 1,455
Self-citationBaryon acoustic oscillations in the Ly α forest of BOSS DR11 quasars
Delubac, T., Bautista, J. E., Busca, N. G., Rich, J., Kirkby, D., Bailey, S., Font-Ribera, A., Slosar, A., Lee, K.-G., Pieri, M. M., et al. (2015) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201423969 · Cited by 895
Self-citationTHE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: OVERVIEW AND EARLY DATA
Dawson, K. S., Kneib, J.-P., Percival, W. J., Alam, S., Albareti, F. D., Anderson, S. F., Armengaud, E., Aubourg, É., Bailey, S., Bautista, J. E., et al. (2016) · The Astronomical Journal · doi:10.3847/0004-6256/151/2/44 · Cited by 844
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Metadata
- Authors
- Bovy, J., Hennawi, J. F., Hogg, D. W., Myers, A. D., Kirkpatrick, J. A., Schlegel, D. J., Ross, N. P., Sheldon, E. S., McGreer, I. D., Schneider, D. P., & Weaver, B. A.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2011-02-22
- Volume
- 729
- Issue
- 2
- Pages
- 141
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2026154763
- Cited by
- 216
- References
- 9
- FWCI
- 12.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bovy, J., Hennawi, J. F., Hogg, D. W., Myers, A. D., Kirkpatrick, J. A., Schlegel, D. J., Ross, N. P., Sheldon, E. S., McGreer, I. D., Schneider, D. P., & Weaver, B. A. (2011). THINK OUTSIDE THE COLOR BOX: PROBABILISTIC TARGET SELECTION AND THE SDSS-XDQSO QUASAR TARGETING CATALOG. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/729/2/141
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