Anisotropic strong lensing as a probe of dark matter self-interactions
B Dhanasingham, FY Cyr-Racine… - Monthly Notices of …, 2023 - academic.oup.com
Galaxy-scale strongly lensed systems have been shown to provide a unique technique for
exploring the underlying physics of dark matter at sub-galactic scales. In the past, much …
exploring the underlying physics of dark matter at sub-galactic scales. In the past, much …
A Bayesian approach to strong lens finding in the era of wide-area surveys
P Holloway, PJ Marshall, A Verma… - Monthly Notices of …, 2024 - academic.oup.com
The arrival of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST),
Euclid-Wide and Roman wide-area sensitive surveys will herald a new era in strong lens …
Euclid-Wide and Roman wide-area sensitive surveys will herald a new era in strong lens …
Find the haystacks, then look for needles: the rate of strongly lensed supernovae in galaxy–galaxy strong gravitational lenses
A Sainz de Murieta, TE Collett… - Monthly Notices of …, 2024 - academic.oup.com
The time-delay between appearances of multiple images of a gravitationally lensed
supernova (glSN) is sensitive to the Hubble constant,. As well as time-delays, a lensed host …
supernova (glSN) is sensitive to the Hubble constant,. As well as time-delays, a lensed host …
How Do Observational Astronomers Learn to Inspect Imaging Data
Astronomy is entering an unprecedented era of data collection. Upcoming large surveys will
gather more data than ever before, generated at rates requiring real-time decision making …
gather more data than ever before, generated at rates requiring real-time decision making …
[HTML][HTML] TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS-From simulations to surveys
Context. With the current and upcoming generation of surveys, such as the Legacy Survey of
Space and Time (LSST) on the Vera C. Rubin Observatory and the Euclid mission, tens of …
Space and Time (LSST) on the Vera C. Rubin Observatory and the Euclid mission, tens of …
HOLISMOKES XIII: Strong-lens candidates at all mass scales and their environments from the Hyper-Suprime Cam and deep learning
We have performed a systematic search for galaxy-scale strong lenses using Hyper Suprime-
Cam imaging data, focusing on lenses in overdense environments. To identify these lens …
Cam imaging data, focusing on lenses in overdense environments. To identify these lens …
Systematic comparison of neural networks used in discovering strong gravitational lenses
A More, R Canameras, AT Jaelani, Y Shu… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
owing to increasing large imaging surveys. Neural networks have been successfully used to …
New Strong Gravitational Lenses from the DESI Legacy Imaging Surveys Data Release 9
We have conducted a search for strong gravitational lensing systems in the Dark Energy
Spectroscopic Instrument (DESI) Legacy Imaging Surveys Data Release 9. This is the third …
Spectroscopic Instrument (DESI) Legacy Imaging Surveys Data Release 9. This is the third …
Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) X. Strong Lens Finding in The HSC-SSP using Convolutional Neural Networks
AT Jaelani, A More, KC Wong, KT Inoue… - arXiv preprint arXiv …, 2023 - arxiv.org
We apply a novel model based on convolutional neural networks (CNNs) to identify
gravitationally-lensed galaxies in multi-band imaging of the Hyper Suprime Cam Subaru …
gravitationally-lensed galaxies in multi-band imaging of the Hyper Suprime Cam Subaru …
Selection functions of strong lens finding neural networks
A Herle, CM O'Riordan, S Vegetti - arXiv preprint arXiv:2307.10355, 2023 - arxiv.org
Convolution Neural Networks trained for the task of lens finding with similar architecture and
training data as is commonly found in the literature are biased classifiers. An understanding …
training data as is commonly found in the literature are biased classifiers. An understanding …