Search Results - "Vernardos, Georgios"

Quasar microlensing light-curve analysis using deep machine learning by Vernardos, Georgios, Tsagkatakis, Grigorios

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The impact of microlensing on the standardization of strongly lensed Type Ia supernovae by Foxley-Marrable, Max, Collett, Thomas E, Vernardos, Georgios, Goldstein, Daniel A, Bacon, David

“…ABSTRACT We investigate the effect of microlensing on the standardization of strongly lensed Type Ia supernovae (GLSNe Ia). We present predictions for the…”
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Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks by Vernardos, Georgios, Tsagkatakis, Grigorios, Pantazis, Yannis

“…ABSTRACT Gravitational lensing is a powerful tool for constraining substructure in the mass distribution of galaxies, be it from the presence of dark matter…”
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A quasar microlensing light-curve generator for LSST by Neira, Favio, Anguita, Timo, Vernardos, Georgios

“…ABSTRACT We present a tool to generate mock quasar microlensing light curves and sample them according to any observing strategy. An updated treatment of the…”
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Resolving the vicinity of supermassive black holes with gravitational microlensing by Best, Henry, Fagin, Joshua, Vernardos, Georgios, O’Dowd, Matthew

“…ABSTRACT Upcoming wide-field surveys will discover thousands of new strongly lensed quasars which will be monitored with unprecedented cadence by the Legacy…”
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Erratum: A quasar microlensing light-curve generator for LSST by Neira, Favio, Anguita, Timo, Vernardos, Georgios

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Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks by Fagin, Joshua, Vernardos, Georgios, Tsagkatakis, Grigorios, Pantazis, Yannis, Shajib, Anowar J, O’Dowd, Matthew

“…ABSTRACT Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we…”
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SEAGLE – II. Constraints on feedback models in galaxy formation from massive early-type strong-lens galaxies by Mukherjee, Sampath, Koopmans, Léon V E, Metcalf, R Benton, Tortora, Cresenzo, Schaller, Matthieu, Schaye, Joop, Vernardos, Georgios, Bellagamba, Fabio

“…ABSTRACT We use nine different galaxy formation scenarios in ten cosmological simulation boxes from the EAGLE (Evolution and Assembly of GaLaxies and their…”
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SEAGLE – III: Towards resolving the mismatch in the dark-matter fraction in early-type galaxies between simulations and observations by Mukherjee, Sampath, Koopmans, Léon V E, Tortora, Crescenzo, Schaller, Matthieu, Metcalf, R Benton, Schaye, Joop, Vernardos, Georgios

“…ABSTRACT The central dark-matter fraction of galaxies is sensitive to feedback processes during galaxy formation. Strong gravitational lensing has been…”
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SEAGLE – I. A pipeline for simulating and modelling strong lenses from cosmological hydrodynamic simulations by Mukherjee, Sampath, Koopmans, Léon V E, Metcalf, R Benton, Tessore, Nicolas, Tortora, Crescenzo, Schaller, Matthieu, Schaye, Joop, Crain, Robert A, Vernardos, Georgios, Bellagamba, Fabio, Theuns, Tom

“…In this paper we introduce the SEAGLE (i.e. Simulating EAGLE LEnses) programme, which approaches the study of galaxy formation through strong gravitational…”
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COOLEST: COde-independent Organized LEns STandard by Galan, Aymeric, de Vyvere, Lyne Van, Gomer, Matthew R., Vernardos, Georgios, Sluse, Dominique

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Simulating time-varying strong lenses by Vernardos, Georgios

“…We present a self-consistent and versatile forward modelling software package that can produce time series and pixel-level simulations of time-varying strongly…”
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Microlensing flux ratio predictions for Euclid by Vernardos, Georgios

“…Quasar microlensing flux ratios are used to unveil properties of the lenses in large collections of lensed quasars, like the ones expected to be produced by…”
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A joint microlensing analysis of lensing mass and accretion disc models by Vernardos, Georgios

“…Microlensing of multiply imaged quasars is a unique probe of quasar structure, down to the size of the accretion disc and the central black hole. Flux ratios…”
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Resolving the Vicinity of Supermassive Black Holes with Gravitational Microlensing by Best, Henry, Fagin, Joshua, Vernardos, Georgios, O'Dowd, Matthew

“…Monthly Notices of the Royal Astronomical Society, Volume 531, Issue 1, June 2024 In the near future, wide field surveys will discover 1000's of new strongly…”
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Quasar microlensing light curve analysis using deep machine learning by Vernardos, Georgios, Tsagkatakis, Grigorios

“…We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated…”
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Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks by Fagin, Joshua, Vernardos, Georgios, Tsagkatakis, Grigorios, Pantazis, Yannis, Shajib, Anowar J, O'Dowd, Matthew

“…Monthly Notices of the Royal Astronomical Society, Volume 532, Issue 2, August 2024 Strong gravitational lensing can be used as a tool for constraining the…”
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Modeling lens potentials with continuous neural fields in galaxy-scale strong lenses by Biggio, Luca, Vernardos, Georgios, Galan, Aymeric, Peel, Austin

“…Strong gravitational lensing is a unique observational tool for studying the dark and luminous mass distribution both within and between galaxies. Given the…”
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A Quasar Microlensing Light Curve Generator for LSST by Neira, Favio, Anguita, Timo, Vernardos, Georgios

“…We present a tool to generate mock quasar microlensing light curves and sample them according to any observing strategy. An updated treatment of the fixed and…”
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How to Break the Mass Sheet Degeneracy with the Lightcurves of Microlensed Type Ia Supernovae by Weisenbach, Luke, Collett, Thomas, de Murieta, Ana Sainz, Krawczyk, Coleman, Vernardos, Georgios, Enzi, Wolfgang, Lundgren, Andrew

“…The standardizable nature of gravitationally lensed Type Ia supernovae (glSNe Ia) makes them an attractive target for time delay cosmography, since a source…”
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