The DOI matches its Crossref record.
Power Spectrum Tomography with Weak Lensing
Open accessAbstract
Upcoming weak lensing surveys on wide fields will provide the opportunity to reconstruct the structure along the line of sight tomographically by employing photometric redshift information about the source distribution. We define power spectrum statistics (including cross-correlation between redshift bins), quantify the improvement that redshift information can make in cosmological parameter estimation, and discuss ways to optimize the redshift binning. We find that within the adiabatic cold dark matter class of models, crude tomography using two or three redshift bins is sufficient to extract most of the information and improve, by up to an order of magnitude, the measurements of cosmological parameters that determine the growth rate of structure.
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
Cited by
Beyond the cosmological standard model
Joyce, A., Jain, B., Khoury, J., & Trodden, M. (2015) · Physics Reports · doi:10.1016/j.physrep.2014.12.002 · Cited by 1,231
Cosmology and Fundamental Physics with the Euclid Satellite
The Euclid Theory Working Group, Amendola, L., Appleby, S., Bacon, D., Baker, T., Baldi, M., Bartolo, N., Blanchard, A., Bonvin, C., Borgani, S., et al. (2013) · Living Reviews in Relativity · doi:10.12942/lrr-2013-6 · Cited by 899
Heymans, C., Grocutt, E., Heavens, A., Kilbinger, M., Kitching, T. D., Simpson, F., Benjamin, J., Erben, T., Hildebrandt, H., Hoekstra, H., et al. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt601 · Cited by 649
Cosmology with cosmic shear observations: a review
Kilbinger, M. (2015) · Reports on Progress in Physics · doi:10.1088/0034-4885/78/8/086901 · Cited by 604
Bridle, S., & King, L. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/12/444 · Cited by 492
Metadata
- Authors
- Hu, W.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 1999-09-01
- Volume
- 522
- Issue
- 1
- Pages
- L21-L24
- ISSN
- 0004-637X (ISSN-L)
- OpenAlex
- W2121283769
- Cited by
- 419
- References
- 0
- FWCI
- 4.96
- 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: Power Spectrum Tomography with Weak Lensing. https://app.cochat.ai/papers/10.1086/312210
- The paper
- Hu, W. (1999). Power Spectrum Tomography with Weak Lensing. The Astrophysical Journal. https://doi.org/10.1086/312210
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.