The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cosmic shear analysis with CFHTLS deep data
Open accessAbstract
We present the first cosmic shear measurements obtained from the T0001 release of the Canada-France-Hawaii Telescope Legacy Survey. The data set covers three uncorrelated patches (D1, D3 and D4) of one square degree each, observed in u*, g', r', i' and z' bands, to a depth of . The deep, multi-colour observations in these fields allow for several data-quality controls. The lensing signal is detected in both r' and i' bands and shows similar amplitude and slope in both filters. B-modes are found to be statistically zero at all scales. Using multi-colour information, we derived a photometric redshift for each galaxy and use this to separate the background source sample into low-z and high-z subsamples. A stronger shear signal is detected from the high-z subsample than from the low-z subsample, as expected from weak lensing tomography. While further work is needed to model the effects of errors in the photometric redshifts, this result suggests that it will be possible to obtain constraints on the growth of dark matter fluctuations with lensing wide field surveys. The combined Deep and Wide surveys give assuming the Peacock & Dodds non-linear scheme (P&D), and for the halo model and . We assumed a Cold Dark Matter model with flat geometry and have marginalized over the systematics, the Hubble constant and redshift uncertainties. Using data from the Deep survey, the upper bound for w0, the constant equation of state parameter is .
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Cites
Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
Riess, A. G., Filippenko, A. V., Challis, P., Clocchiatti, A., Diercks, A., Garnavich, P. M., Gilliland, R. L., Hogan, C. J., Jha, S., Kirshner, R. P., et al. (1998) · The Astronomical Journal · doi:10.1086/300499 · Cited by 19,704
Measurements of Ω and Λ from 42 High‐Redshift Supernovae
Perlmutter, S., Aldering, G., Goldhaber, G., Knop, R. A., Nugent, P., Castro, P. G., Deustua, S., Fabbro, S., Goobar, A., Groom, D. E., et al. (1999) · The Astrophysical Journal · doi:10.1086/307221 · Cited by 18,062
Riess, A. G., Strolger, L., Tonry, J., Casertano, S., Ferguson, H. C., Mobasher, B., Challis, P., Filippenko, A. V., Jha, S., Li, W., et al. (2004) · The Astrophysical Journal · doi:10.1086/383612 · Cited by 4,315
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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
Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear
Troxel, M. A., MacCrann, N., Zuntz, J., Eifler, T. F., Krause, E., Dodelson, S., Gruen, D., Blazek, J., Friedrich, O., Samuroff, S., et al. (2018) · Physical Review D · doi:10.1103/physrevd.98.043528 · Cited by 656
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
Self-citationCosmology 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
Weak Gravitational Lensing with COSMOS: Galaxy Selection and Shape Measurements
Leauthaud, A., Massey, R., Kneib, J., Rhodes, J., Johnston, D. E., Capak, P., Heymans, C., Ellis, R. S., Koekemoer, A. M., Le Fevre, O., et al. (2007) · The Astrophysical Journal Supplement Series · doi:10.1086/516598 · Cited by 434
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Metadata
- Authors
- Semboloni, E., Mellier, Y., van Waerbeke, L., Hoekstra, H., Tereno, I., Benabed, K., Gwyn, S. D. J., Fu, L., Hudson, M. J., Maoli, R., & Parker, L. C.
- Venue
- Astronomy & Astrophysics
- Publisher
- EDP Sciences
- Published
- 2006-05-17
- Volume
- 452
- Issue
- 1
- Pages
- 51-61
- ISSN
- 0004-6361 (ISSN-L)
- 1432-0746
- OpenAlex
- W2119030283
- Cited by
- 174
- References
- 3
- FWCI
- 16.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Semboloni, E., Mellier, Y., van Waerbeke, L., Hoekstra, H., Tereno, I., Benabed, K., Gwyn, S. D. J., Fu, L., Hudson, M. J., Maoli, R., & Parker, L. C. (2006). Cosmic shear analysis with CFHTLS deep data. Astronomy & Astrophysics. https://doi.org/10.1051/0004-6361%3A20054479
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