The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A New Nonparametric Approach to Galaxy Morphological Classification
Open accessAbstract
We present two new nonparametric methods for quantifying galaxy morphology: the relative distribution of the galaxy pixel flux values (the Gini coefficient or G ) and the second-order moment of the brightest 20% of the galaxy's flux ( M 20 ). We test the robustness of G and M 20 to decreasing signal-to-noise ratio (S/N) and spatial resolution and find that both measures are reliable to within 10% for images with average S/N per pixel greater than 2 and resolutions better than 1000 and 500 pc, respectively. We have measured G and M 20 , as well as concentration ( C ), asymmetry ( A ), and clumpiness ( S ) in the rest-frame near-ultraviolet/optical wavelengths for 148 bright local "normal" Hubble-type galaxies (E–Sd) galaxies, 22 dwarf irregulars, and 73 0.05 < z < 0.25 ultraluminous infrared galaxies (ULIRGs). We find that most local galaxies follow a tight sequence in G - M 20 - C , where early types have high G and C and low M 20 and late-type spirals have lower G and C and higher M 20 . The majority of ULIRGs lie above the normal galaxy G - M 20 sequence because of their high G and M 20 values. Their high Gini coefficients arise from very bright nuclei, while the high second-order moments are produced by multiple nuclei and bright tidal tails. All of these features are signatures of recent and on-going mergers and interactions. We also find that in combination with A and S , G is more effective than C at distinguishing ULIRGs from the "normal" Hubble types. Finally, we measure the morphologies of 491.7 < z < 3.8 galaxies from HST NICMOS observations of the Hubble Deep Field North. We find that many of the z ∼ 2 galaxies possess G and A higher than expected from degraded images of local elliptical and spiral galaxies and have morphologies more like low-redshift ULIRGs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Final Results from the Hubble Space Telescope Key Project to Measure the Hubble Constant
Freedman, W. L., Madore, B. F., Gibson, B. K., Ferrarese, L., Kelson, D. D., Sakai, S., Mould, J. R., Kennicutt, Jr., Ford, H. C., Graham, J. A., et al. (2001) · The Astrophysical Journal · doi:10.1086/320638 · Cited by 3,298
Detailed Structural Decomposition of Galaxy Images
Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. (2002) · The Astronomical Journal · doi:10.1086/340952 · Cited by 2,783
Sloan Digital Sky Survey: Early Data Release
Stoughton, C., Lupton, R. H., Bernardi, M., Blanton, M. R., Burles, S., Castander, F. J., Connolly, A. J., Eisenstein, D. J., Frieman, J. A., Hennessy, G. S., et al. (2002) · The Astronomical Journal · doi:10.1086/324741 · Cited by 2,390
Methods of Measuring the Concentration of Wealth
Lorenz, M. O. (1905) · Publications of the American Statistical Association · doi:10.1080/15225437.1905.10503443 · Cited by 2,250
The Galaxy Luminosity Function and Luminosity Density at Redshift z= 0.1
Blanton, M. R., Hogg, D. W., Bahcall, N. A., Brinkmann, J., Britton, M., Connolly, A. J., Csabai, I., Fukugita, M., Loveday, J., Meiksin, A., et al. (2003) · The Astrophysical Journal · doi:10.1086/375776 · Cited by 1,111
The First Data Release of the Sloan Digital Sky Survey
Abazajian, K., Adelman-McCarthy, J. K., Ageros, M. A., Allam, S. S., Anderson, S. F., Annis, J., Bahcall, N. A., Baldry, I. K., Bastian, S., Berlind, A., et al. (2003) · The Astronomical Journal · doi:10.1086/378165 · Cited by 967
A multidimensional version of the Kolmogorov–Smirnov test
Fasano, G., & Franceschini, A. (1987) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/225.1.155 · Cited by 912
The Relationship between Stellar Light Distributions of Galaxies and Their Formation Histories
Conselice, C. J. (2003) · The Astrophysical Journal Supplement Series · doi:10.1086/375001 · Cited by 875
The Broadband Optical Properties of Galaxies with Redshifts 0.02 < z < 0.22
Blanton, M. R., Hogg, D. W., Bahcall, N. A., Baldry, I. K., Brinkmann, J., Csabai, I., Eisenstein, D., Fukugita, M., Gunn, J. E., Ivezić, Ž., et al. (2003) · The Astrophysical Journal · doi:10.1086/375528 · Cited by 759
The Stellar Populations and Evolution of Lyman Break Galaxies
Papovich, C., Dickinson, M., & Ferguson, H. C. (2001) · The Astrophysical Journal · doi:10.1086/322412 · Cited by 593
Cited by
Euclid: I. Overview of the Euclid mission
Euclid Collaboration, Mellier, Y., Abdurro’uf, Acevedo Barroso, J. A., Achúcarro, A., Adamek, J., Adam, R., Addison, G. E., Aghanim, N., Aguena, M., et al. (2025) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202450810 · Cited by 616
Toward an Understanding of the Rapid Decline of the Cosmic Star Formation Rate
Bell, E. F., Papovich, C., Wolf, C., Le Floc’h, E., Caldwell, J. A. R., Barden, M., Egami, E., McIntosh, D. H., Meisenheimer, K., Perez‐Gonzalez, P. G., et al. (2005) · The Astrophysical Journal · doi:10.1086/429552 · Cited by 494
Rodriguez-Gomez, V., Snyder, G. F., Lotz, J. M., Nelson, D., Pillepich, A., Springel, V., Genel, S., Weinberger, R., Tacchella, S., Pakmor, R., et al. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty3345 · Cited by 455
Self-citationGalaxy And Mass Assembly (GAMA): galaxy close pairs, mergers and the future fate of stellar mass
Robotham, A. S. G., Driver, S. P., Davies, L. J. M., Hopkins, A. M., Baldry, I. K., Agius, N. K., Bauer, A. E., Bland-Hawthorn, J., Brough, S., Brown, M. J. I., et al. (2014) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu1604 · Cited by 165
Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning
Walmsley, M., Smith, L., Lintott, C., Gal, Y., Bamford, S., Dickinson, H., Fortson, L., Kruk, S., Masters, K., Scarlata, C., et al. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2816 · Cited by 160
Metadata
- Authors
- Lotz, J. M., Primack, J., & Madau, P.
- Venue
- The Astronomical Journal
- Publisher
- American Astronomical Society
- Published
- 2004-07
- Volume
- 128
- Issue
- 1
- Pages
- 163-182
- ISSN
- 0004-6256 (ISSN-L)
- 1538-3881
- OpenAlex
- W2058379217
- Cited by
- 832
- References
- 43
- FWCI
- 11.42
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A New Nonparametric Approach to Galaxy Morphological Classification. https://app.cochat.ai/papers/10.1086/421849
- The paper
- Lotz, J. M., Primack, J., & Madau, P. (2004). A New Nonparametric Approach to Galaxy Morphological Classification. The Astronomical Journal. https://doi.org/10.1086/421849
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.