51 citations · 199 across the 25 of their papers we have counts for
12 papers · 1 filter
The next step in galaxy cluster strong lensing: modeling the surface brightness of multiply-imaged sources
Ana Acebron, Claudio Grillo, Sherry H. Suyu +12
Overcoming both modeling and computational challenges, we present, for the first time, the extended surface-brightness distribution model of a strongly-lensed source in a complex g…
Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation
Sydney Erickson, Sebastian Wagner-Carena, Phil Marshall +9
Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To en…
Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR5
Zizhao He, Rui Li, Yiping Shu +13
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, th…
Early-Time Observations of SN 2023wrk: A Luminous Type Ia Supernova with Significant Unburned Carbon in the Outer Ejecta
Jialian Liu, Xiaofeng Wang, Cristina Andrade +44
We present extensive photometric and spectroscopic observations of the nearby Type Ia supernova (SN) 2023wrk at a distance of about 40 Mpc. The earliest detection of this SN can be…
TDCOSMO. XVI. Measurement of the Hubble Constant from the Lensed Quasar WGD20384008
Kenneth C. Wong, Frédéric Dux, Anowar J. Shajib +17
Time-delay cosmography is a powerful technique to constrain cosmological parameters, particularly the Hubble constant (). The TDCOSMO collaboration is performing an ongoing…
Systematic comparison of neural networks used in discovering strong gravitational lenses
Anupreeta More, Raoul Canameras, Anton T. Jaelani +6
Efficient algorithms are being developed to search for strong gravitational lens systems owing to increasing large imaging surveys. Neural networks have been successfully used to d…
HOLISMOKES XIII: Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning
Stefan Schuldt, Raoul Cañameras, Irham T. Andika +6
We performed a systematic search for strong gravitational lenses using Hyper Suprime-Cam (HSC) data, focusing on galaxy-scale lenses combined with an environment analysis resulting…
Detecting unresolved lensed SNe Ia in LSST using blended light curves
Satadru Bag, Simon Huber, Sherry H. Suyu +10
Strongly gravitationally lensed supernovae (LSNe) are promising probes for providing absolute distance measurements using gravitational-lens time delays. Spatially unresolved LSNe…
Dissecting the Interstellar Media of A Wolf-Rayet Galaxy at
Takahiro Morishita, Massimo Stiavelli, Stefan Schuldt +1
We report JWST/NIRSpec observations of a star-forming galaxy at , MACSJ1149-WR1. We securely detect two temperature-sensitive auroral lines, [SIII]6312 (7.4) and [OII]73…
Lensed Type Ia Supernova "Encore" at z=2: The First Instance of Two Multiply-Imaged Supernovae in the Same Host Galaxy
J. D. R. Pierel, A. B. Newman, S. Dhawan +60
A bright (=24 mag), supernova (SN) candidate was discovered in JWST/NIRCam imaging acquired on 2023 November 17. The SN is quintuply-imaged as a result o…
JWST Photometric Time-Delay and Magnification Measurements for the Triply-Imaged Type Ia "Supernova H0pe" at z = 1.78
J. D. R. Pierel, B. L. Frye, M. Pascale +60
Supernova (SN) H0pe is a gravitationally lensed, triply-imaged, Type Ia SN (SN Ia) discovered in James Webb Space Telescope imaging of the PLCK G165.7+67.0 cluster of galaxies. Wel…
Diverse Oxygen Abundance in Early Galaxies Unveiled by Auroral Line Analysis with JWST
Takahiro Morishita, Massimo Stiavelli, Claudio Grillo +10
We present deep JWST NIRSpec observations in the sightline of MACS J1149.5+2223, a massive cluster of galaxies at . We report the spectroscopic redshift of 28 sources at $3…