The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Intrinsic alignments of SDSS-III BOSS LOWZ sample galaxies
Open accessAbstract
Intrinsic alignments (IA) of galaxies, i.e. correlations of galaxy shapes with each other (II) or with the density field (gI), are potentially a major astrophysical source of contamination for weak lensing surveys. We present the results of IA measurements of galaxies on 0.1–200 h−1 Mpc scales using the SDSS-III BOSS low-redshift (LOWZ) sample, in the redshift range 0.16 < z < 0.36. We extend the existing IA measurements for spectroscopic luminous red galaxies (LRGs) to lower luminosities, and show that the luminosity dependence of large-scale IA can be well described by a power law. Within the limited redshift and colour range of our sample, we observe no significant redshift or colour dependence of IA. We measure the halo mass of galaxies using galaxy–galaxy lensing, and show that the mass dependence of large-scale IA is also well described by a power law. We detect variations in the scale dependence of IA with mass and luminosity, which underscores the need to use flexible templates in order to remove the IA signal. We also study the environment dependence of IA by splitting the sample into field and group galaxies, which are further split into satellite and central galaxies. We show that group central galaxies are aligned with their haloes at small scales and also are aligned with the tidal fields out to large scales. We also detect the radial alignments of satellite galaxies within groups. These results can be used to construct better IA models for removal of this contaminant to the weak lensing signal.
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Cites
The Structure of Cold Dark Matter Halos
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1996) · The Astrophysical Journal · doi:10.1086/177173 · Cited by 8,544
THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY
Abazajian, K. N., Adelman-McCarthy, J. K., Agüeros, M. A., Allam, S. S., Prieto, C. A., An, D., Anderson, K. S. J., Anderson, S. F., Annis, J., Bahcall, N. A., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/182/2/543 · Cited by 5,341
Self-citationCosmological parameters from CMB and other data: A Monte Carlo approach
Lewis, A., & Bridle, S. (2002) · Physical Review D · doi:10.1103/physrevd.66.103511 · Cited by 3,495 · cited 1×
“In this work, we will use the non-linear matter power spectrum based on halofit model (Smith et al. 2003), generated with software CAMB (Lewis & Bridle 2002), with fixed WMAP9 cosmology from Hinshaw et al. (2013).”
MethodThe Sloan Digital Sky Survey Photometric System
Fukugita, M., Ichikawa, T., Gunn, J. E., Doi, M., Shimasaku, K., & Schneider, D. P. (1996) · The Astronomical Journal · doi:10.1086/117915 · Cited by 3,033
The Sloan Digital Sky Survey Photometric Camera
Gunn, J. E., Carr, M., Rockosi, C., Sekiguchi, M., Berry, K., Elms, B., de Haas, E., Ivezić, Ž., Knapp, G., Lupton, R., et al. (1998) · The Astronomical Journal · doi:10.1086/300645 · Cited by 1,692
Astrometric Calibration of the Sloan Digital Sky Survey
Pier, J. R., Munn, J. A., Hindsley, R. B., Hennessy, G. S., Kent, S. M., Lupton, R. H., & Ivezić, Ž. (2003) · The Astronomical Journal · doi:10.1086/346138 · Cited by 908
An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
Padmanabhan, N., Schlegel, D. J., Finkbeiner, D. P., Barentine, J. C., Blanton, M. R., Brewington, H. J., Gunn, J. E., Harvanek, M., Hogg, D. W., Ivezić, Ž., et al. (2008) · The Astrophysical Journal · doi:10.1086/524677 · Cited by 591
Bridle, S., & King, L. (2007) · New Journal of Physics · doi:10.1088/1367-2630/9/12/444 · Cited by 492
Cited by
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D · doi:10.1103/physrevd.98.043526 · Cited by 1,213
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
The Dark Energy Survey: more than dark energy – an overview
(2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw641 · Cited by 1,019
Desjacques, V., Jeong, D., & Schmidt, F. (2018) · Physics Reports · doi:10.1016/j.physrep.2017.12.002 · Cited by 817
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
Metadata
- Authors
- Singh, S., Mandelbaum, R., & More, S.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-01
- Volume
- 450
- Issue
- 2
- Pages
- 2195-2216
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2023503322
- Cited by
- 194
- References
- 8
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- green
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