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Tools WG session of GDR Cophy

Nov 18 – 20, 2024
IAP
Europe/Paris timezone

Contribution List

12 / 12
10. Welcome
Guilhem Lavaux (IAP)
11/18/24, 1:55 PM
2. JAX basics
Jean-Eric Campagne (IJCLab)
11/18/24, 2:00 PM
9. Massively Parallel Computing in Cosmology with JAX
Wassim Kabalan (APC)
11/18/24, 4:00 PM
8. CMB likelihood
Lennart Balkenhol (IAP)
11/19/24, 9:30 AM
3. LTU-Implicit Likelihood Inference
Deaglan Bartlett (Institut d'Astrophysique de Paris)
11/19/24, 11:00 AM
13. Probabilistic Programming for Cosmology with JAX
Hugo Simon Onfroy (CEA Paris-Saclay)
11/19/24, 2:00 PM
11. Lensing modeling with JAX in LSST
Justine Zeghal (APC, CNRS)
11/19/24, 4:00 PM
5. Fast likelihood for SN Ia using JAX
Marc Betoule (LPNHE)
11/19/24, 4:45 PM
14. JAX-Healpy: a JAX package compatible with the Healpy library
Magdy Morshed (INFN Ferrara)
11/20/24, 9:50 AM

The Healpy package is widely used in cosmology, both for the handling of the HEALPix pixelization and the associated spherical harmonic transforms. The current Healpy package implementation is not JAX friendly, as the spherical harmonics implementation is based in C++, which prevents us to possibly accelerate the associated routines using JIT or to run them on GPUs. In this talk, we will...
15. s2scat : a software in JAX for generative models on the sphere using Scattering Transforms
Louise Mousset (LPENS)
11/20/24, 10:40 AM

Scattering Transforms are a new type of summary statistics recently developed for the study of highly non-Gaussian processes. These statistics can be used to build generative data models, and even to develop new component separation techniques. In the context of upcoming cosmological surveys, such as LiteBIRD for the cosmic microwave background polarisation or the Vera C. Rubin Observatory and...
16. FURAX: a modular JAX toolbox for solving inverse problems in science
Pierre Chanial (APC)
11/20/24, 11:10 AM

Modern scientific data analyses involve complex models, presenting significant challenges in both data volume and computation. We present FURAX (Framework for Unified and Robust data Analysis with JAX), an open-source Python library that provides building blocks to construct instrument and noise models in a modular fashion, that benefit from the cutting-edge optimisation and GPU utilisation...
4. BORG
Guilhem Lavaux (IAP)
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