University of Groningen
Gauging the inner mass power spectrum of early-type galaxies
Chatterjee, Saikat
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Publication date: 2019
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Chatterjee, S. (2019). Gauging the inner mass power spectrum of early-type galaxies. University of Groningen.
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Propositions
Accompanying the dissertation
Gauging the inner mass power spectrum of
early-type galaxies
1. A realistic training sample is the key to the successful performance of a neural network to find strong gravitational lenses. (Chapter 2)
2. The galaxy mass power spectrum on kpc scales can be inferred from surface brightness fluctuations of extended lensed images. (Chapter 3)
3. The deflection angle structure-function in lensing has a mathematical sim-ilarity with ionospheric diffraction theory, except it is non-stationary. (Chapter 3)
4. A power law is a good first-order approximation of the power spectrum of kpc-scale density fluctuations in the inner regions of early-type galaxies. (Chapter 4)
5. The number of vertices in reconstructing the lensed source – using a De-launay triangulation – has a significant impact on the solution bias in Bayesian lens modelling. (Chapter 4, 5)
6. Bayesian adaptive grid-based lens modelling is robust against changes in the type of regularisation and the choice of the mask when enclosing a sufficiently large area of noise-dominated sky. (Chapter 5)
7. An intrinsic degeneracy between the source and the mass model exists; whereas the source model affects the image surface brightness on all scales, the smooth lens model affects it mostly on large scales. (Chapter 5) 8. The average projected surface mass densities of simulated massive
early-type galaxies significantly depend on different feedback processes in galaxy formation. (Chapter 6)
9. The projected surface mass density fluctuations of simulated massive early-type galaxies at kpc-scales appear invariant under changes in galaxy for-mation feedback mechanisms. (Chapter 6)
March 2019 Saikat Chatterjee
