Systematic errors in strong gravitational lensing reconstructions, a numerical simulation perspective
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa1224
Abstract: We present the analysis of a sample of 24 SLACS-like galaxy-galaxy strong gravitational lens systems with a background source and deflectors from the Illustris-1 simulation. We study the degeneracy between the complex mass distribution of… read more here.
Keywords: systematic errors; lens systems; per cent; strong gravitational ... See more keywords
What does strong gravitational lensing? The mass and redshift distribution of high-magnification lenses
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa1429
Abstract: Many distant objects can only be detected, or become more scientifically valuable, if they have been highly magnified by strong gravitational lensing. We use eagle and bahamas, two recent cosmological hydrodynamical simulations, to predict the… read more here.
Keywords: gravitational lensing; lensing; strong gravitational; magnification ... See more keywords
Joint constraints on thermal relic dark matter from strong gravitational lensing, the Ly α forest, and Milky Way satellites
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stab1960
Abstract: We derive joint constraints on the warm dark matter (WDM) half-mode scale by combining the analyses of a selection of astrophysical probes: strong gravitational lensing with extended sources, the Ly α forest, and the number of… read more here.
Keywords: joint constraints; dark matter; strong gravitational; milky way ... See more keywords
DenseLens - Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses
Sign Up to like & getrecommendations! Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad1623
Abstract: Convolutional Neural Networks (CNNs) are the state-of-the-art technique for identifying strong gravitational lenses. Although they are highly successful in recovering genuine lens systems with a high true-positive rate, the unbalanced nature of the data set… read more here.
Keywords: strong gravitational; gravitational lenses; false positive; positive rates ... See more keywords
Constraints on a possible evolution of mass density power-law index in strong gravitational lensing from cosmological data
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx1791
Abstract: In this work, by using strong gravitational lensing (SGL) observations along with Type Ia Supernovae (Union2.1) and gamma ray burst data (GRBs), we propose a new method to study a possible redshift evolution of $\gamma(z)$,… read more here.
Keywords: strong gravitational; evolution; mass density; gamma gamma ... See more keywords
Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx2052
Abstract: The volume of data that will be produced by new-generation surveys requires automatic classification methods to select and analyse sources. Indeed, this is the case for the search for strong gravitational lenses, where the population… read more here.
Keywords: strong gravitational; degree survey; kilo degree; convolutional neural ... See more keywords
Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS
Sign Up to like & getrecommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/sty2683
Abstract: Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-finders that we have trained with a dataset composed of real… read more here.
Keywords: strong gravitational; neural networks; convolutional neural; convnet ... See more keywords
Probing cosmic acceleration by strong gravitational lensing systems
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz286
Abstract: Recently, some divergent conclusions about cosmic acceleration were obtained using Type Ia supernovae (SNe Ia), with opposite assumptions on the intrinsic luminosity evolution. In this paper, we use strong gravitational lensing systems to probe the… read more here.
Keywords: strong gravitational; cosmic acceleration; lensing systems; gravitational lensing ... See more keywords
Analytical approach to strong gravitational lensing from ultracompact objects
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.104040
Abstract: Strong gravitational lensing from black holes results in the formation of relativistic images, in particular, relativistic Einstein rings. For objects with event horizons, the radius of the unstable light ring (photon sphere) is the lowest… read more here.
Keywords: gravitational lensing; ultracompact objects; analytical approach; lensing ultracompact ... See more keywords
Strong Gravitational Lensing of Gravitational Waves: A Review
Sign Up to like & getrecommendations! Published in 2023 at "Universe"
DOI: 10.3390/universe9050200
Abstract: The first successful detection of gravitational waves (GWs) opened up a new window to study a realm of the most violent phenomena in the universe, such as coalescences of binary black holes (BH–BH), binary neutron… read more here.
Keywords: strong gravitational; lensing gravitational; gravitational waves; lensing ... See more keywords