The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The effects of galaxy formation on the matter power spectrum: a challenge for precision cosmology: Galaxy formation and the matter power spectrum
Open accessAbstract
Upcoming weak lensing surveys, such as LSST, EUCLID, and WFIRST, aim to measure the matter power spectrum with unprecedented accuracy. In order to fully exploit these observations, models are needed that, given a set of cosmological parameters, can predict the non-linear matter power spectrum at the level of 1% or better for scales corresponding to comoving wave numbers 0.170 h/Mpc. Therefore, baryons, and particularly AGN feedback, cannot be ignored in theoretical power spectra for k>0.3 h/Mpc. It will thus be necessary to improve our understanding of feedback processes in galaxy formation, or at least to constrain them through auxiliary observations, before we can fulfil the goals of upcoming weak lensing surveys.
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Cites
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
The statistics of peaks of Gaussian random fields
Bardeen, J. M., Bond, J. R., Kaiser, N., & Szalay, A. S. (1986) · The Astrophysical Journal · doi:10.1086/164143 · Cited by 3,270
The statistics of CDM halo concentrations
Neto, A. F., Gao, L., Bett, P., Cole, S., Navarro, J. F., Frenk, C. S., White, S. D. M., Springel, V., & Jenkins, A. (2007) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2007.12381.x · Cited by 764
Duffy, A. R., Schaye, J., Kay, S. T., Vecchia, C. D., Battye, R. A., & Booth, C. M. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2010.16613.x · Cited by 186
Self-citation
Cited by
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
Hildebrandt, H., Viola, M., Heymans, C., Joudaki, S., Kuijken, K., Blake, C., Erben, T., Joachimi, B., Klaes, D., Miller, L., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2805 · Cited by 1,021
Heymans, C., Tröster, T., Asgari, M., Blake, C., Hildebrandt, H., Joachimi, B., Kuijken, K., Lin, C.-A., Sánchez, A. G., van den Busch, J. L., et al. (2021) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202039063 · Cited by 772
Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration
Amon, A., Gruen, D., Troxel, M. A., MacCrann, N., Dodelson, S., Choi, A., Doux, C., Secco, L. F., Samuroff, S., Krause, E., et al. (2022) · Physical Review D · doi:10.1103/physrevd.105.023514 · Cited by 437
Dark matter and cosmic structure
Frenk, C. S., & White, S. D. M. (2012) · Annalen der Physik · doi:10.1002/andp.201200212 · Cited by 409
The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations
Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., Spergel, D. N., S. Somerville, R., Dave, R., Pillepich, A., Hernquist, L., Nelson, D., Torrey, P., et al. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/abf7ba · Cited by 304
Metadata
- Authors
- van Daalen, M. P., Schaye, J., Booth, C. M., & Dalla Vecchia, C.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-07-14
- Volume
- 415
- Issue
- 4
- Pages
- 3649-3665
- ISSN
- 0035-8711 (ISSN-L)
- OpenAlex
- W2159391876
- Cited by
- 454
- References
- 4
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- green
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- van Daalen, M. P., Schaye, J., Booth, C. M., & Dalla Vecchia, C. (2011). The effects of galaxy formation on the matter power spectrum: a challenge for precision cosmology: Galaxy formation and the matter power spectrum. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2011.18981.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.
