533 citations · 979 across the 10 of their papers we have counts for
10 papers
Representation Learning for Spatiotemporal Physical Systems
Helen Qu, Rudy Morel, Michael McCabe +4
Machine learning approaches to spatiotemporal physical systems have primarily focused on next-frame prediction, with the goal of learning an accurate emulator for the system's evol…
AstroCLIP: A Cross-Modal Foundation Model for Galaxies
Liam Parker, Francois Lanusse, Siavash Golkar +12
We present AstroCLIP, a single, versatile model that can embed both galaxy images and spectra into a shared, physically meaningful latent space. These embeddings can then be used -…
Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations
Denise Lanzieri, François Lanusse, Chirag Modi +4
We present the Differentiable Lensing Lightcone (DLL), a fully differentiable physical model designed for being used as a forward model in Bayesian inference algorithms requiring a…
Hybrid Physical-Neural ODEs for Fast N-body Simulations
Denise Lanzieri, François Lanusse, Jean-Luc Starck
We present a new scheme to compensate for the small-scales approximations resulting from Particle-Mesh (PM) schemes for cosmological N-body simulations. This kind of simulations ar…
Galaxies and Halos on Graph Neural Networks: Deep Generative Modeling Scalar and Vector Quantities for Intrinsic Alignment
Yesukhei Jagvaral, François Lanusse, Sukhdeep Singh +3
In order to prepare for the upcoming wide-field cosmological surveys, large simulations of the Universe with realistic galaxy populations are required. In particular, the tendency…
DESC DC2 Data Release Note
LSST Dark Energy Science Collaboration, Bela Abolfathi, Robert Armstrong +54
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created…
The LSST DESC DC2 Simulated Sky Survey
LSST Dark Energy Science Collaboration, Bela Abolfathi, David Alonso +77
We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and…
Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
Chiaki Hikage, Masamune Oguri, Takashi Hamana +34
We measure cosmic weak lensing shear power spectra with the Subaru Hyper Suprime-Cam (HSC) survey first-year shear catalog covering 137deg of the sky. Thanks to the high effect…
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
Yao-Yuan Mao, Eve Kovacs, Katrin Heitmann +24
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fun…
The first-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey
Rachel Mandelbaum, Hironao Miyatake, Takashi Hamana +28
We present and characterize the catalog of galaxy shape measurements that will be used for cosmological weak lensing measurements in the Wide layer of the first year of the Hyper S…