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Cited by 270

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS

Open access
Feldmann, R., Carollo, C. M., Porciani, C., Lilly, S. J., Capak, P., Taniguchi, Y., Fèvre, O. Le, Renzini, A., Scoville, N., Ajiki, M., Aussel, H., Contini, T., McCracken, H., Mobasher, B., Murayama, T., Sanders, D., Sasaki, S., Scarlata, C., Scodeggio, M., Shioya, Y., Silverman, J., Takahashi, M., Thompson, D., Zamorani, G.·2006·Monthly Notices of the Royal Astronomical Society
DOI 10.1111/j.1365-2966.2006.10930.x
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Abstract

We present the Zurich Extragalactic Bayesian Redshift Analyzer (zebra). The current version of zebra combines and extends several of the classical approaches to produce accurate photometric redshifts down to faint magnitudes. In particular, zebra uses the template-fitting approach to produce Maximum Likelihood and Bayesian redshift estimates based on the following points. An automatic iterative technique to correct the original set of galaxy templates to best represent the Spectral Energy Distributions (SEDs) of real galaxies at different redshifts. A training set of spectroscopic redshifts for a small fraction of the photometric sample to improve the robustness of the photometric redshift estimates. An iterative technique for Bayesian redshift estimates, which extracts the full two-dimensional redshift and template probability function for each galaxy. We demonstrate the performance of zebra by applying it to a sample of 866 IAB≤ 22.5 COSMOS galaxies with available u*, B, V, g′, r′, i′, z′ and Ks photometry and zCOSMOS spectroscopic redshifts in the range 0 < z < 1.3. Adopting a 5σ clipping that excludes ≤10 galaxies, both the Maximum Likelihood and Bayesian zebra estimates for this sample have an accuracy σΔz/(1+z) smaller than 0.03. Similar accuracies are recovered using mock galaxies. zebra is made available at http://www.exp-astro.phys.ethz.ch/ZEBRA.

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Metadata

Authors
Feldmann, R., Carollo, C. M., Porciani, C., Lilly, S. J., Capak, P., Taniguchi, Y., Fèvre, O. L., Renzini, A., Scoville, N., Ajiki, M., Aussel, H., Contini, T., McCracken, H., Mobasher, B., Murayama, T., Sanders, D., Sasaki, S., Scarlata, C., Scodeggio, M., Shioya, Y., Silverman, J., Takahashi, M., Thompson, D., & Zamorani, G.
Venue
Monthly Notices of the Royal Astronomical Society
Publisher
Oxford University Press (OUP)
Published
2006-10-21
Volume
372
Issue
2
Pages
565-577
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
DOI
10.1111/j.1365-2966.2006.10930.x
OpenAlex
W1963762696
Cited by
270
References
18
FWCI
8.29
Type
journal article
Language
en
Open access
bronze

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The paper
Feldmann, R., Carollo, C. M., Porciani, C., Lilly, S. J., Capak, P., Taniguchi, Y., Fèvre, O. L., Renzini, A., Scoville, N., Ajiki, M., Aussel, H., Contini, T., McCracken, H., Mobasher, B., Murayama, T., Sanders, D., Sasaki, S., Scarlata, C., Scodeggio, M., . . . Zamorani, G. (2006). The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2006.10930.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.