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Cited by 243

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COSMOS Morphological Classification with the Zurich Estimator of Structural Types (ZEST) and the Evolution Since z = 1 of the Luminosity Function of Early, Disk, and Irregular Galaxies

Open access
Scarlata, C., Carollo, C. M., Lilly, S., Sargent, M. T., Feldmann, R., Kampczyk, P., Porciani, C., Koekemoer, A., Scoville, N., Kneib, J.‐P., Leauthaud, A., Massey, R., Rhodes, J., Tasca, L., Capak, P., Maier, C., McCracken, H. J., Mobasher, B., Renzini, A., Taniguchi, Y., Thompson, D., Sheth, K., Ajiki, M., Aussel, H., Murayama, T., Sanders, D. B., Sasaki, S., Shioya, Y., Takahashi, M.·2007·The Astrophysical Journal Supplement Series

Abstract

Motivated by the desire to reliably and automatically classify structure of thousands of COSMOS galaxies, we present ZEST, the Zurich Estimator of Structural Types. To classify galaxy structure, ZEST uses (1) five nonparametric diagnostics: asymmetry, concentration, Gini coefficient, second-order moment of the brightest 20% of galaxy pixels, and ellipticity; and (2) the exponent n of single-Sérsic fits to the two-dimensional surface brightness distributions. To fully exploit the wealth of information while reducing the redundancy present in these diagnostics, ZEST performs a principal component (PC) analysis. We use a sample of ~56,000 I AB ≤ 24 COSMOS galaxies to show that the first three PCs fully describe the key aspects of the galaxy structure, i.e., to calibrate a three-dimensional classification grid of axes PC 1 , PC 2 , and PC 3 . We demonstrate the robustness of the ZEST grid on the z = 0 sample of Frei et al. The ZEST classification breaks most of the degeneracy between different galaxy populations that affects morphological classifications based on only some of the diagnostics included in ZEST. As a first application, we present the evolution since z ~ 1 of the luminosity functions (LFs) of COSMOS galaxies of early, disk, and irregular galaxies and, for disk galaxies, of different bulge-to-disk ratios. Overall, we find that the LF up to a redshift z = 1 is consistent with a pure luminosity evolution (of about 0.95 mag at z ~ 0.7). We highlight, however, two trends that are in general agreement with a downsizing scenario for galaxy formation, i.e., (1) a deficit of a factor of about 2 at z ~ 0.7 of M B > -20.5 structurally classified early-type galaxies and (2) an excess of a factor of about 3, at a similar redshift, of irregular galaxies.

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Metadata

Authors
Scarlata, C., Carollo, C. M., Lilly, S., Sargent, M. T., Feldmann, R., Kampczyk, P., Porciani, C., Koekemoer, A., Scoville, N., Kneib, J. ‐., Leauthaud, A., Massey, R., Rhodes, J., Tasca, L., Capak, P., Maier, C., McCracken, H. J., Mobasher, B., Renzini, A., Taniguchi, Y., Thompson, D., Sheth, K., Ajiki, M., Aussel, H., Murayama, T., Sanders, D. B., Sasaki, S., Shioya, Y., & Takahashi, M.
Venue
The Astrophysical Journal Supplement Series
Published
2007-09
Volume
172
Issue
1
Pages
406-433
ISSN
  • 0067-0049 (ISSN-L)
  • 1538-4365
OpenAlex
W2112021974
Cited by
243
References
1
FWCI
11.27
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: COSMOS Morphological Classification with the Zurich Estimator of Structural Types (ZEST) and the Evolution Since z = 1 of the Luminosity Function of Early, Disk, and Irregular Galaxies. https://app.cochat.ai/papers/10.1086/516582
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Scarlata, C., Carollo, C. M., Lilly, S., Sargent, M. T., Feldmann, R., Kampczyk, P., Porciani, C., Koekemoer, A., Scoville, N., Kneib, J. ‐., Leauthaud, A., Massey, R., Rhodes, J., Tasca, L., Capak, P., Maier, C., McCracken, H. J., Mobasher, B., Renzini, A., . . . Takahashi, M. (2007). COSMOS Morphological Classification with the Zurich Estimator of Structural Types (ZEST) and the Evolution Since z = 1 of the Luminosity Function of Early, Disk, and Irregular Galaxies. The Astrophysical Journal Supplement Series. https://doi.org/10.1086/516582

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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.