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Cited by 326

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

The skewness of the aperture mass statistic

Open access
Jarvis, M., Bernstein, G., Jain, B.·2004·Monthly Notices of the Royal Astronomical Society

Abstract

We present simple formulae for calculating the skewness and kurtosis of the aperture mass statistic for weak lensing surveys, which is insensitive to masking effects of survey geometry or variable survey depth. The calculations are the higher order analogues of the formula given by Schneider, van Waerbeke & Mellier, which has been used to compute the variance of the aperture mass from several lensing surveys. As our formula requires the three-point shear correlation function, we also present an efficient tree-based algorithm for measuring it. We show how our algorithm would scale in computing time and memory usage for future lensing surveys. We also apply the procedure to our Cerro Tololo Inter-American Observatory (CTIO) survey data, originally described by Jarvis et al. We find that the skewness is positive (inconsistent with zero) at the 2σ level. However, the signal is too noisy from this data to usefully constrain cosmology.

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Crossref · 10.1111/j.1365-2966.2004.07926.x

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Metadata

Authors
Jarvis, M., Bernstein, G., & Jain, B.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2004-07
Volume
352
Issue
1
Pages
338-352
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W2070216929
Cited by
326
References
19
FWCI
2.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The skewness of the aperture mass statistic. https://app.cochat.ai/papers/10.1111/j.1365-2966.2004.07926.x
The paper
Jarvis, M., Bernstein, G., & Jain, B. (2004). The skewness of the aperture mass statistic. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2004.07926.x

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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.