REVIEW 11 cited by
Strong gravitational lensing as a probe of dark matter
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Dark matter structures within strong gravitational lens galaxies and along their line of sight leave a gravitational imprint on the multiple images of lensed sources. Strong gravitational lensing provides, therefore, a key test of different dark matter models in a way that is independent of the baryonic content of matter structures on subgalactic scales. In this chapter, we describe how galaxy-scale strong gravitational lensing observations are sensitive to the physical nature of dark matter. We provide a historical perspective of the field, and review its current status. We discuss the challenges and advances in terms of data, treatment of systematic errors and theoretical predictions, that will enable one to deliver a stringent and robust test of different dark matter models in the near future. With the advent of the next generation of sky surveys, the number of known strong gravitational lens systems is expected to increase by several orders of magnitude. Coupled with high-resolution follow-up observations, these data will provide a key opportunity to constrain the properties of dark matter with strong gravitational lensing.
Forward citations
Cited by 11 Pith papers
-
The overconcentrated dark halo in the strong lens SDSS J0946+1006 is a subhalo: evidence for self interacting dark matter?
The dark matter clump in lens J0946+1006 is a subhalo at z=0.207 with a steep density profile, a >5 sigma outlier from LCDM expectations, possibly pointing to self-interacting dark matter.
-
Star-forming clump detection in nearby galaxies using Faster R-CNN and $ugrizy$ imaging data from CLAUDS and HSC-SSP
A six-band Faster R-CNN with the Zoobot backbone detects star-forming clump candidates in ~700,000 local galaxies, claiming ~90% completeness and ~80% purity for clumps brighter than the surveys' detection limits.
-
Probing Dark Matter Substructure with Wave-Optics Distortions of Strongly Lensed LISA Gravitational Waves
Simulated four-year-LISA lensed waveforms show fuzzy-dark-matter substructure leaves a frequency-dependent phase residual that distinguishes it from NFW or self-interacting halos with ~60–110 resolved images.
-
JWST lensed quasar dark matter survey IV: Stringent warm dark matter constraints from the joint reconstruction of extended lensed arcs and quasar flux ratios
Adding extended lensed arcs to quasar flux ratios in 28 JWST lenses tightens the dark-matter free-streaming limit to m_hm < 10^7.4 M⊙ (galacticus prior) and gives the most precise lensing measurement of subhalo abundance.
-
Strong-lensing Perturber Signatures in Self-interacting Dark Matter Simulations
Core-collapsed self-interacting dark matter halos in the Concerto simulations reach high enough central densities to match the perturbing masses inferred in J0946, B1938, SDP.81, and SPT2147-50.
-
Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks
A graph neural network plus simulation-based inference infers subhalo mass and velocity from simulated GD-1 streams with 3 to 11 times tighter mass constraints than the 1D power spectrum, with better-calibrated posteriors.
-
A compact group lens modeled with GIGA-Lens: Enhanced inference for complex systems
The enhanced GIGA-Lens pipeline constrains a 29-parameter model of the group lens DES J0248-3955 in about 4.5 minutes and reports a lens velocity dispersion of 690 ± 30 km/s.
-
A Variable-Slope Smooth-$k$ Filter for Modeling Halo Abundances with Damped and Oscillatory Power Spectra
Introduces a variable-slope smooth-k filter within Press-Schechter theory that uses separate slope parameters for small and intermediate mass regimes, claiming a single parameter set matches N-body halo mass functions...
-
Accelerated inference of microlensed gravitational waves with machine learning
A neural posterior estimator trained on wave-optics-microlensed gravitational-wave signals recovers source and lens parameters and Bayes factors consistent with Bilby, about 10 times faster.
-
Gravitational lensing: towards combining the multi-messengers
A review arguing that combining strong gravitational lensing of gravitational-wave and electromagnetic signals will enable new probes of cosmology, modified gravity, and compact-object merger physics.
-
Dark Matter Constraints from Small-Scale Cosmic Structure
A comprehensive review maps frontier small-scale structure probes onto warm, fuzzy, interacting, self-interacting, and decaying dark-matter limits and flags probe combination as the path forward.
Discussion (0). Continue with ORCID to comment.