Code for Bayesian Analysis
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Updated
Oct 17, 2025 - Python
Code for Bayesian Analysis
DeepSphere: a graph-based spherical CNN (TensorFlow)
Python code for learning cosmology using different methods and mock data
DerivKit - a robust Python toolkit for stable numerical derivatives
Flexible, fully bayesian stacking software for modelling of astronomical data sets
Correlation functions versus field-level inference in cosmology: example with log-normal fields
CosmicFishPie: Python Fisher Matrix code for Cosmological probes
Mock CMB likelihood class for Cobaya sampler (https://github.com/CobayaSampler/cobaya), and several specific experiment examples
Repository containing tutorials about how to use Cobaya for cosmological inference at PhD Schools
Main tools and results from arxiv:
JAX-powered Hi-Fi mocks
Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture 8 of the Lie groups course with Quantum Formalism
A Bayesian Python code to confront the quasar data set with models beyond the standard model of elementary particle physics and models beyond the $\Lambda$CDM standard cosmology.
Repository for the paper “Testing CPT–Symmetric Siamese Universes through FRB–QSO Sky Correlations (v1.3)”. Cross-correlates CHIME/FRB Catalog 1 with DESI DR1 QSOs to probe directional asymmetry near the CPT axis (RA ≈ 170°, Dec ≈ 40°), finding a marginal excess (Z = 7.0 ± 1.1, p ≈ 0.019).
The universe may operate as a self-executing algorithm where structure precedes matter. Reality’s “errors”—from cosmic anomalies to quantum correlations—are reflections of its code. Through holography, recursion, and informational self-replication, the cosmos continuously rewrites its own laws.
Flexible, fully bayesian stacking software for modelling of astronomical data sets
The codes for computing the scale-dependent peak height function and the scale-dependent valley depth function of the cosmic-log density field.
Neural-Network Emulator for Reionization and Optical depth
Quadratic estimator algorithm to extract the weak gravitational lensing power spectrum from a shear catalog.
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