126 citations · 1.8k across the 61 of their papers we have counts for
12 papers · 1 filter
Microlensing and the type Ia supernova iPTF16geu
J. M. Diego, G. Bernstein, W. Chen +5
The observed magnifications and light curves of the quadruply-imaged iPTF16geu supernova (SN) offers a unique opportunity to study a lens system with a variety of independent const…
Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering
F. Lepori, I. Tutusaus, C. Viglione +183
We investigate the importance of lensing magnification for estimates of galaxy clustering and its cross-correlation with shear for the photometric sample of Euclid. Using updated s…
Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes
Qiuhan He, Ran Li, Carlos S. Frenk +8
We rederive the number density of intervening line-of-sight haloes relative to lens subhaloes in galaxy-galaxy strong lensing observations, where these perturbers can generate dete…
Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses
Nicola C. Amorisco, James Nightingale, Qiuhan He +8
A defining prediction of the cold dark matter (CDM) cosmological model is the existence of a very large population of low-mass haloes. This population is absent in models in which…
Euclid preparation: XVI. Exploring the ultra low-surface brightness Universe with Euclid/VIS
A. S. Borlaff, P. Gómez-Alvarez, B. Altieri +180
While Euclid is an ESA mission specifically designed to investigate the nature of Dark Energy and Dark Matter, the planned unprecedented combination of survey area ( d…
Euclid preparation: I. The Euclid Wide Survey
R. Scaramella, J. Amiaux, Y. Mellier +238
Euclid is an ESA mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry out a wide area imaging…
PyAutoLens: Open-Source Strong Gravitational Lensing
James. W. Nightingale, Richard G. Hayes, Ashley Kelly +14
Strong gravitational lensing, which can make a background source galaxy appears multiple times due to its light rays being deflected by the mass of one or more foreground lens gala…
Euclid Preparation: XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3
Euclid Collaboration, S. A. Stanford, D. Masters +183
The Complete Calibration of the Color-Redshift Relation (C3R2) survey is obtaining spectroscopic redshifts in order to map the relation between galaxy color and redshift to a depth…
preparation: XV. Forecasting cosmological constraints for the and CMB joint analysis
Euclid Collaboration, S. Ilić, N. Aghanim +207
The combination and cross-correlation of the upcoming data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the l…
Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models
Euclid Collaboration, H. Bretonnière, M. Huertas-Company +193
We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines a control on galaxy shape parameters offered by analytic…
Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses
Euclid Collaboration, A. Pocino, I. Tutusaus +157
The accuracy of photometric redshifts (photo-zs) particularly affects the results of the analyses of galaxy clustering with photometrically-selected galaxies (GCph) and weak lensin…
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
James. W. Nightingale, Richard G. Hayes, Matthew Griffiths
A major trend in academia and data science is the rapid adoption of Bayesian statistics for data analysis and modeling, leading to the development of probabilistic programming lang…