The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Cosmic Variance and Its Effect on the Luminosity Function Determination in Deep High‐z Surveys
Open accessAbstract
We study cosmic variance in deep high-redshift surveys and its influence on the determination of the luminosity function for high-redshift galaxies. For several survey geometries relevant for Hubble Space Telescope ( HST ) and James Webb Space Telescope ( JWST ) instruments, we characterize the distribution of the galaxy number counts. This is obtained by means of analytic estimates via the two-point correlation function in extended Press-Schechter theory, as well as by using synthetic catalogs extracted from N -body cosmological simulations of structure formation. We adopt a simple luminosity-dark halo mass relation to investigate the effects of environment on the fitting of the luminosity function. We show that in addition to variations of the normalization of the luminosity function, a steepening of its slope is also expected in underdense fields, similar to what is observed within voids in the local universe. Therefore, to avoid introducing artificial biases, caution must be taken when attempting to correct for field underdensity, such as in the case of the HST UDF i -dropout sample, which exhibits a deficit of bright counts with respect to the average counts in GOODS. A public version of the cosmic variance calculator based on the two-point correlation function integration is available on the Web at STScI.
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
Three‐Year Wilkinson Microwave Anisotropy Probe ( WMAP ) Observations: Implications for Cosmology
Spergel, D. N., Bean, R., Dore, O., Nolta, M. R., Bennett, C. L., Dunkley, J., Hinshaw, G., Jarosik, N., Komatsu, E., Page, L., et al. (2007) · The Astrophysical Journal Supplement Series · doi:10.1086/513700 · Cited by 6,778
The cosmological simulation code gadget-2
Springel, V. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09655.x · Cited by 6,368
Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation
Press, W. H., & Schechter, P. (1974) · The Astrophysical Journal · doi:10.1086/152650 · Cited by 4,916
The cosmological simulation code GADGET-2
Petkova, M., & Springel, V. (2005) · Cited by 3,918
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
Principles of physical cosmology
(1993) · Choice Reviews Online · doi:10.5860/choice.31-1499 · Cited by 2,675
High-redshift galaxies in the Hubble Deep Field: colour selection and star formation history to z 4
Madau, P., Ferguson, H. C., Dickinson, M. E., Giavalisco, M., Steidel, C. C., & Fruchter, A. (1996) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/283.4.1388 · Cited by 2,055
The Cosmic Evolution Survey (COSMOS): Overview
Scoville, N., Aussel, H., Brusa, M., Capak, P., Carollo, C. M., Elvis, M., Giavalisco, M., Guzzo, L., Hasinger, G., Impey, C., et al. (2007) · The Astrophysical Journal Supplement Series · doi:10.1086/516585 · Cited by 2,007
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-citationAn analytic model for the spatial clustering of dark matter haloes
Mo, H. J., & White, S. D. M. (1996) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/282.2.347 · Cited by 1,492
Cited by
THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z = 0-8
Behroozi, P. S., Wechsler, R. H., & Conroy, C. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/770/1/57 · Cited by 2,167
Galactic star formation and accretion histories from matching galaxies to dark matter haloes
Moster, B. P., Naab, T., & White, S. D. M. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sts261 · Cited by 1,431
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
Self-citationReddy, N. A., & Steidel, C. C. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/692/1/778 · Cited by 555
Davidzon, I., Ilbert, O., Laigle, C., Coupon, J., McCracken, H. J., Delvecchio, I., Masters, D., Capak, P., Hsieh, B. C., Le Fèvre, O., et al. (2017) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201730419 · Cited by 420
Metadata
- Authors
- Trenti, M., & Stiavelli, M.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2008-04
- Volume
- 676
- Issue
- 2
- Pages
- 767-780
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2016966639
- Cited by
- 364
- References
- 33
- FWCI
- 12.97
- 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 and Its Effect on the Luminosity Function Determination in Deep High‐z Surveys. https://app.cochat.ai/papers/10.1086/528674
- The paper
- Trenti, M., & Stiavelli, M. (2008). Cosmic Variance and Its Effect on the Luminosity Function Determination in Deep High‐z Surveys. The Astrophysical Journal. https://doi.org/10.1086/528674
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.
