Publications de Elodie Marie Charlène Savary

Strong lensing by edge-on galaxies in UNIONS

Frédéric Courbin, Elodie Marie Charlène Savary, Cameron Alexander Campbell Lemon

Current searches for galaxy-scale strong lenses focus on massive Luminous Red Galaxies but tend to overlook late-type lenses, in part because of their smaller Einstein radii. We take advantage of the superb seeing of the UNIONS survey in the r-band to perf ...

2024

The impact of human expert visual inspection on the discovery of strong gravitational lenses

Frédéric Courbin, Elodie Marie Charlène Savary, Martin Raoul Robert Millon, Eric Gérard Guy Paic, Rémy Elie Joseph, Hung-Hsu Chan, Karina Alexandra Rojas Olate, Benjamin Yvan Alexandre Clement, Yue Pan

We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25 per cent of the project. During the classification t ...

OXFORD UNIV PRESS2023

Discovery of strongly lensed quasars in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS)

Elodie Marie Charlène Savary, Martin Raoul Robert Millon, Eric Gérard Guy Paic, Hung-Hsu Chan, Karina Alexandra Rojas Olate, Benjamin Yvan Alexandre Clement, Cameron Alexander Campbell Lemon, Georgios Vernardos

We report the discovery of five new doubly imaged lensed quasars from the first 2500 square degrees of the ongoing Canada-France Imaging Survey (CFIS), which is a component of the Ultraviolet Near Infrared Optical Northern Survey. The systems are preselect ...

EDP SCIENCES S A2022

Teaching machines how to find strongly lensed galaxies in cosmological sky surveys

Elodie Marie Charlène Savary

Analyzing gravitationally lensed objects enables a wide range of physical and cosmological applications, such as probing the dark matter content in galaxies and clusters or measuring the Universe's expansion rate. The precision of these applications can be ...

EPFL2022

Search of strong lens systems in the Dark Energy Survey using convolutional neural networks

Frédéric Courbin, Elodie Marie Charlène Savary, Aymeric Alexandre Galan, Hung-Hsu Chan, Karina Alexandra Rojas Olate, Benjamin Yvan Alexandre Clement, Cameron Alexander Campbell Lemon, Georgios Vernardos

We present our search for strong lens, galaxy-scale systems in the first data release of the Dark Energy Survey (DES), based on a color-selected parent sample of 18 745 029 luminous red galaxies (LRGs). We used a convolutional neural network (CNN) to grade ...

EDP SCIENCES S A2022

Strong lensing in UNIONS: Toward a pipeline from discovery to modeling

Frédéric Courbin, Elodie Marie Charlène Savary, Hung-Hsu Chan, Karina Alexandra Rojas Olate, Benjamin Yvan Alexandre Clement, Cameron Alexander Campbell Lemon, Georgios Vernardos

We present a search for galaxy-scale strong gravitational lenses in the initial 2500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 r-band im ...

EDP SCIENCES S A2022

HOLISMOKES: II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks

Elodie Marie Charlène Savary, Karina Alexandra Rojas Olate, Cameron Alexander Campbell Lemon

We present a systematic search for wide-separation (with Einstein radius theta(E)greater than or similar to 1.5 ''), galaxy-scale strong lenses in the 30 000 deg(2) of the Pan-STARRS 3 pi survey on the Northern sky. With long time delays of a few days to w ...

2020

Impact of the 3D source geometry on time-delay measurements of lensed type-Ia supernovae

Frédéric Courbin, Vivien François Bonvin, Elodie Marie Charlène Savary, Martin Raoul Robert Millon, Olga Tihhonova, Hung-Hsu Chan

It has recently been proposed that gravitationally lensed type-Ia supernovae can provide microlensing-free time-delay measurements provided that the measurement is taken during the achromatic expansion phase of the explosion and that color light curves are ...

EDP SCIENCES S A2019

Overview of the DESI Legacy Imaging Surveys

Johan Comparat, Elodie Marie Charlène Savary, Claudio Gorgoni, Zhou Xue, Paul Carter, Abhijit Saha, Jean-Paul Richard Kneib, Tobias Gabriel Meier, Alejandro Alvarez, Huanyuan Shan, Timothée Guy Olivier Delubac, Anand Stéphane Raichoor, Arjun Dey, David Schlegel

The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image approximate to 14,000 ...

IOP PUBLISHING LTD2019