151 citations · 394 across the 11 of their papers we have counts for
11 papers
UFig v1: The ultra-fast image generator
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +8
With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. is a public Python package that simulates astronomic…
Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning
F. Tarsitano, C. Bruderer, K. Schawinski +1
In this work we explore the possibility of applying machine learning methods designed for one-dimensional problems to the task of galaxy image classification. The algorithms used f…
Combining strong and weak lensing estimates in the Cosmos field
Felix Arjun Kuhn, Claudio Bruderer, Simon Birrer +2
We present a combined cosmic shear analysis of the modeling of line-of-sight distortions on strongly lensed extended arcs and galaxy shape measurements in the COSMOS field. We deve…
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1
T. Kacprzak, J. Herbel, A. Nicola +52
Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and re…
A catalogue of structural and morphological measurements for DES Y1
F. Tarsitano, W. G. Hartley, A. Amara +60
We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parame…
Cosmic shear calibration with forward modeling
Claudio Bruderer, Andrina Nicola, Adam Amara +3
Weak Gravitational Lensing is a powerful probe of the dark sector of the Universe. One of the main challenges for this technique is the treatment of systematics in the measurement…
The redshift distribution of cosmological samples: a forward modeling approach
Jörg Herbel, Tomasz Kacprzak, Adam Amara +3
Determining the redshift distribution of galaxy samples is essential for several cosmological probes including weak lensing. For imaging surveys, this is usually done using…
Light versus dark in strong-lens galaxies: Dark matter haloes that are rounder than their stars
Claudio Bruderer, Justin I. Read, Jonathan P. Coles +4
We measure the projected density profile, shape and alignment of the stellar and dark matter mass distribution in 11 strong-lens galaxies. We find that the projected dark matter de…
Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing
C. Bonnett, M. A. Troxel, W. Hartley +104
We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learni…
Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
B. Leistedt, H. V. Peiris, F. Elsner +92
Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy surv…
Calibrated Ultra Fast Image Simulations for the Dark Energy Survey
Claudio Bruderer, Chihway Chang, Alexandre Refregier +3
Weak lensing by large-scale structure is a powerful technique to probe the dark components of the universe. To understand the measurement process of weak lensing and the associated…