Publications

PUBLICATIONS

Link to the AGEL ADS Library

2025

"Constraining Cosmology with Double-Source-Plane Strong Gravitational Lenses From the AGEL Survey"

Bowden, Sahu, Shajib, Tran et al.

Astrophysical Journal, submitted

"Cosmography with the Double Source Plane Strong Gravitational Lens AGEL150745+052256"

Sahu, Shajib, Tran et al.

Astrophysical Journal, 2025

"The AGEL Survey Data Release 2: A Gravitational Lens Sample for Galaxy Evolution and Cosmology"

Barone, Keerthi Vasan, Tran et al.

Astronomical Journal, submitted

"Spatially Resolved Galactic Winds at Cosmic Noon: Outflow Kinematics and Mass Loading in a Lensed Star-forming Galaxy at z = 1.87"

Keerthi Vasan, Jones, Shajib, Rhoades et al.

Astrophysical Journal, 2025

2024

"Gravitational lensing reveals cool gas within 10-20 kpc around a quiescent galaxy"

Barone, Kacprzak, Nielsen, Glazebrook, Tran et al.

Nature Communications Physics, 2024

"AGEL: Is the Conflict Real? Investigating Galaxy Evolution Models Using Strong Lensing at 0.3 < z < 0.9"

Sahu, Tran, Suyu, Shajib, et al.

Astrophysical Journal, 2024

2023

"Resolved Velocity Profiles of Galactic Winds at Cosmic Noon"

Keerthi, Jones, Sanders, Ellis et al.

Astrophysical Journal, 2023

"A Glimpse of the Stellar Populations and Elemental Abundances of Gravitationally Lensed, Quiescent Galaxies at z ≳ 1 with Keck Deep Spectroscopy"

Zhuang, Leethochawalit, Kirby, Nightingale et al.

Astrophysical Journal, 2023

2022

"LensingETC: A Tool to Optimize Multi-Filter Imaging Campaigns of Galaxy-scale Strong Lensing Systems"

Shajib, Glazebrook, Barone, Lewis, Jones, Tran, et al.

Astrophysical Journal, 2022

"The AGEL Survey:  Spectroscopic Confirmation of Strong Gravitational Lenses in the DES and DECaLS Fields Selected Using Convolution Neural Networks"

Tran, Harshan, Glazebrook et al.

Astrophysical Journal, 2022

"Finding High-Redshift Strong Lenses in DES Using Convolutional Neural Networks"

Jacobs, Collett, Glazebrook et al.

MNRAS, 2019

2017

"Finding Strong Lenses in CFHTLS Using Convolutional Neural Networks"

Jacobs, Glazebrook, Collett et al.

MNRAS, 2017

"Dozens of Gravitational Lenses Could Tell More about the Dark Matter and Evolution of Galaxies," 

Tech Times, October 2022

"The Search for Gravitational Lenses by Artificial Intelligence Shows Incredible Results," 

Universe Magazine, September 2022

"Dozens of Newly Discovered Gravitational Lenses Could Reveal Ancient Galaxies and the Nature of Dark Matter," 

Phys.org, September 2022

"Advance AI discovers a treasure trove of gravitational lenses," 

Space.com, September 2022

"Dozens of Newly Discovered Gravitational Lenses Could Reveal Ancient Galaxies and the Nature of Dark Matter," 

Science in Public, September 2022