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Evidence for substructure in lens galaxies?
Open accessAbstract
We discuss whether one should expect that multiply imaged QSOs can be understood with ‘simple’ lens models that contain only a few parameters. Whereas for many lens systems such simple mass models yield a remarkably good description of the observed properties, there are some systems which are notoriously difficult to understand quantitatively. We argue that at least in one case (B 1422 + 231) these difficulties are not (solely) due to a ‘wrong’ parametrization of the lens model, but that the discrepancy between observed and model-predicted flux ratios is due to substructure in the lens. As in microlensing for optical fluxes, such substructure can distort also the radio flux ratios predicted by ‘simple’ mass models, in particular for highly magnified images, without appreciably changing image positions. Substructure also does not change the time delay significantly, and therefore has little effect on the determination of the Hubble constant using time delays. We quantify these statements with several simple scenarios for substructure, and propose a strategy to model lens systems in which substructure is suspected.
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Citations
Cited by
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Dark matter and cosmic structure
Frenk, C. S., & White, S. D. M. (2012) · Annalen der Physik · doi:10.1002/andp.201200212 · Cited by 409
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Vegetti, S., Lagattuta, D. J., McKean, J. P., Auger, M. W., Fassnacht, C. D., & Koopmans, L. V. E. (2012) · Nature · doi:10.1038/nature10669 · Cited by 386
lenstronomy: Multi-purpose gravitational lens modelling software package
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Detection of a dark substructure through gravitational imaging
Vegetti, S., Koopmans, L. V. E., Bolton, A., Treu, T., & Gavazzi, R. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2010.16865.x · Cited by 314
Arvanitaki, A., Dimopoulos, S., Galanis, M., Lehner, L., Thompson, J. O., & Van Tilburg, K. (2020) · Physical Review D · doi:10.1103/physrevd.101.083014 · Cited by 175
The Copernicus Complexio: a high-resolution view of the small-scale Universe
Hellwing, W. A., Frenk, C. S., Cautun, M., Bose, S., Helly, J., Jenkins, A., Sawala, T., & Cytowski, M. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw214 · Cited by 107
“…of satellite galaxies with the properties of the background cosmology; it serves as input for many semianalytical galaxy formation models; and it is important for strong lensing studies (e.g. Mao & Schneider 1998; Metcalf & Madau 2001; Metcalf & Zhao 2002; Kochanek & Dalal 2004; Xu et al. 2015).”
BackgroundSonnenfeld, A., Verma, A., More, A., Baeten, E., Macmillan, C., Wong, K. C., Chan, J. H. H., Jaelani, A. T., Lee, C.-H., Oguri, M., et al. (2020) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202038067 · Cited by 67
Deep Learning the Morphology of Dark Matter Substructure
Alexander, S., Gleyzer, S., McDonough, E., Toomey, M. W., & Usai, E. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/ab7925 · Cited by 50
Metadata
- Authors
- Mao, S., & Schneider, P.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-04
- Volume
- 295
- Issue
- 3
- Pages
- 587-594
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W1981470986
- Cited by
- 527
- References
- 0
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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