A5092771251- Adaptive optics and wavefront sensing
- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
- Reservoir Engineering and Simulation Methods
- Seismic Imaging and Inversion Techniques
- Pulsars and Gravitational Waves Research
- Optical Systems and Laser Technology
University of Chicago
2023
Fermi National Accelerator Laboratory
2023
Abstract We estimate the Einstein-radius-enclosed total mass for 177 cluster-scale strong gravitational lenses identified by ChicagO Optically selected Lenses Located At Margins of Public Surveys (COOL-LAMPS) collaboration with lens redshifts ranging from 0.2 ⪅ z 1.0 using brightest-cluster-galaxy (BCG) redshift and an observable proxy Einstein radius. constrain luminosity stellar fitting parametric spectral energy distributions to aperture photometry Dark Energy Camera Legacy Survey...
We present the Dark Energy Spectroscopic Instrument (DESI) Strong Lens Foundry. discovered $\sim 3500$ new strong gravitational lens candidates in DESI Legacy Imaging Surveys using residual neural networks (ResNet). observed a subset (51) of our Hubble Space Telescope (HST). All them were confirmed to be lenses. also briefly describe spectroscopic follow-up observations by and Keck NIRES programs. From this very rich dataset, number studies will carried out, including evaluating quality...
Abstract We report the discovery of COOL J0335−1927, a quasar at z = 3.27 lensed into three images with maximum separation 23.″3 by galaxy cluster 0.4178. To date, this is highest redshift wide-separation known. In addition, J0335−1927 shows several strong intervening absorbers visible in spectra all varying equivalent widths. The also mini-broad line absorption. construct parametric gravitational lens model using ground-based imaging, constrained and positions as well other multiply imaged...
We compute parametric measurements of the Einstein-radius-enclosed total mass for 177 cluster-scale strong gravitational lenses identified by ChicagO Optically-selected Lenses Located At Margins Public Surveys (COOL-LAMPS) collaboration with lens redshifts ranging from $0.2 \lessapprox z 1.0$ using only two measured parameters in each lensing system: Einstein radius, and brightest-cluster-galaxy (BCG) redshift. then constrain luminosity stellar fitting spectral energy distributions (SEDs)...
Wide-separation lensed quasars (WSLQs) are a rare class of strongly quasars, magnified by foreground massive galaxy clusters, with typically large magnifications the multiple quasar images. They relatively unexplored opportunity for detailed study host galaxies. The current small sample known WSLQs has median redshift $z\approx 2.1$, larger than most other samples galaxies studied to date. Here, we derive precise constraints on properties six and their galaxies, using parametric surface...
Modeling strong gravitational lenses is prohibitively expensive for modern and next-generation cosmic survey data. Neural posterior estimation (NPE), a simulation-based inference (SBI) approach, has been studied as an avenue efficient analysis of lensing However, NPE not demonstrated to perform well on out-of-domain target data -- e.g., when trained simulated then applied real, observational In this work, we the first study efficacy in combination with unsupervised domain adaptation (UDA)....
Simulation based inference leverages machine learning to carry out Bayesian for systems with intractable likelihoods. However, transitioning a network trained on simulated data real runs the risk of encountering domain shift, leading performance losses. We attempt implement adaptation into sbi neural posterior estimation framework using Maximum Mean Discrepancy as an additional loss. test two architectures and use masked autoregressive flow density estimation. set 400,000 strong...