The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Cosmic Variance in the Great Observatories Origins Deep Survey
Open accessAbstract
Cosmic variance is the uncertainty in observational estimates of the volume density of extragalactic objects such as galaxies or quasars arising from the underlying large-scale density fluctuations. This is often a significant source of uncertainty, especially in deep galaxy surveys, which tend to cover relatively small areas. We present estimates of the relative cosmic variance for one-point statistics (i.e., number densities) for typical scales and volumes sampled by the Great Observatories Origins Deep Survey (GOODS). We use two approaches: (1) For objects with a known two-point correlation function that is well approximated by a power law, one can use the standard analytic formalism to calculate the cosmic variance (in excess of shot noise). We use this approach to estimate the cosmic variance for several populations that are being studied in the GOODS program (extremely red objects [EROs] at z ~ 1 and Lyman break galaxies [LBGs] at z ~ 3 and z ~ 4) using clustering information for similar populations in the literature. (2) For populations with unknown clustering, one can use predictions from cold dark matter theory to obtain a rough estimate of the variance as a function of number density. We present a convenient plot that allows one to use this approach to read off the cosmic variance for a population with a known mean redshift and estimated number density. We conclude that for the volumes sampled by GOODS, cosmic variance is a significant source of uncertainty for strongly clustered objects (~40%-60% for EROs) and less serious for less clustered objects (~10%-20% for LBGs).
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
Spergel, D. N., Verde, L., Peiris, H. V., Komatsu, E., Nolta, M. R., Bennett, C. L., Halpern, M., Hinshaw, G., Jarosik, N., Kogut, A., et al. (2003) · The Astrophysical Journal Supplement Series · doi:10.1086/377226 · Cited by 10,976
The Large-Scale Structure of the Universe
Peebles, P. J. E. (1981) · Princeton University Press eBooks · doi:10.1515/9780691206714 · Cited by 2,851
Large-scale bias and the peak background split
Sheth, R. K., & Tormen, G. (1999) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.1999.02692.x · Cited by 2,783
The Great Observatories Origins Deep Survey: Initial Results from Optical and Near-Infrared Imaging
Giavalisco, M., Ferguson, H. C., Koekemoer, A. M., Dickinson, M., Alexander, D. M., Bauer, F. E., Bergeron, J., Biagetti, C., Brandt, W. N., Casertano, S., et al. (2004) · The Astrophysical Journal · doi:10.1086/379232 · Cited by 1,678
Self-citationThe Hubble Deep Field: Observations, Data Reduction, and Galaxy Photometry
Williams, R. E., Blacker, B., Dickinson, M., Dixon, W. V. D., Ferguson, H. C., Fruchter, A. S., Giavalisco, M., Gilliland, R. L., Heyer, I., Katsanis, R., et al. (1996) · The Astronomical Journal · doi:10.1086/118105 · Cited by 1,076
Self-citationGalaxies and Intergalactic Matter at Redshift z ∼ 3: Overview
Adelberger, K. L., Steidel, C. C., Shapley, A. E., & Pettini, M. (2003) · The Astrophysical Journal · doi:10.1086/345660 · Cited by 499
Newman, J. A., & Davis, M. (2002) · The Astrophysical Journal · doi:10.1086/324148 · Cited by 73
Cited by
UV LUMINOSITY FUNCTIONS AT REDSHIFTS z∼ 4 TO z∼ 10: 10,000 GALAXIES FROM HST LEGACY FIELDS
Bouwens, R. J., Illingworth, G. D., Oesch, P. A., Trenti, M., Labbé, I., Bradley, L., Carollo, M., van Dokkum, P. G., Gonzalez, V., Holwerda, B., et al. (2015) · The Astrophysical Journal · doi:10.1088/0004-637x/803/1/34 · Cited by 1,298
Le Floc’h, E., Papovich, C., Dole, H., Bell, E. F., Lagache, G., Rieke, G. H., Egami, E., Perez‐Gonzalez, P. G., Alonso‐Herrero, A., Rieke, M. J., et al. (2005) · The Astrophysical Journal · doi:10.1086/432789 · Cited by 818
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
Protoclusters associated with z> 2 radio galaxies: I. Characteristics of high redshift protoclusters
Venemans, B. P., Röttgering, H. J. A., Miley, G. K., van Breugel, W. J. M., De Breuck, C., Kurk, J. D., Pentericci, L., Stanford, S. A., Overzier, R. A., Croft, S., et al. (2007) · Astronomy & Astrophysics · doi:10.1051/0004-6361:20053941 · Cited by 382
JADES: The diverse population of infant black holes at 4 < z < 11: Merging, tiny, poor, but mighty
Maiolino, R., Scholtz, J., Curtis-Lake, E., Carniani, S., Baker, W., de Graaff, A., Tacchella, S., Übler, H., D’Eugenio, F., Witstok, J., et al. (2024) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202347640 · Cited by 373
Metadata
- Authors
- Somerville, R. S., Lee, K., Ferguson, H. C., Gardner, J. P., Moustakas, L. A., & Giavalisco, M.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2004-01-09
- Volume
- 600
- Issue
- 2
- Pages
- L171-L174
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W1972621576
- Cited by
- 307
- References
- 7
- FWCI
- 17.92
- 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: Cosmic Variance in the Great Observatories Origins Deep Survey. https://app.cochat.ai/papers/10.1086/378628
- The paper
- Somerville, R. S., Lee, K., Ferguson, H. C., Gardner, J. P., Moustakas, L. A., & Giavalisco, M. (2004). Cosmic Variance in the Great Observatories Origins Deep Survey. The Astrophysical Journal. https://doi.org/10.1086/378628
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.