GitHub topics: cosmological-inference
seydoux02/Spherical-CNN
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
Language: Jupyter Notebook - Size: 731 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

CobayaSampler/cobaya
Code for Bayesian Analysis
Language: Python - Size: 7.94 MB - Last synced at: 5 days ago - Pushed at: 12 days ago - Stars: 144 - Forks: 139

cmbant/cobaya-test Fork of CobayaSampler/cobaya
Test fork - use https://github.com/CobayaSampler/cobaya
Language: Python - Size: 7.34 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 1

gaetanfacchinetti/NNERO
Neural-Network Emulator for Reionization and Optical depth
Language: Python - Size: 7.41 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

santiagocasas/cosmicfishpie
CosmicFishPie: Python Fisher Matrix code for Cosmological probes
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WangYun1995/CWTextrema-Fisher
The codes for computing the scale-dependent peak height function and the scale-dependent valley depth function of the cosmic-log density field.
Language: Python - Size: 531 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

misharash/cobaya_mock_cmb
Mock CMB likelihood class for Cobaya sampler (https://github.com/CobayaSampler/cobaya), and several specific experiment examples
Language: Python - Size: 2.95 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

andrejobuljen/JaxPM-Hi-Fi-mocks Fork of DifferentiableUniverseInitiative/JaxPM
JAX-powered Hi-Fi mocks
Language: Jupyter Notebook - Size: 6.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

jtlz2/bayestack
Flexible, fully bayesian stacking software for modelling of astronomical data sets
Language: Python - Size: 3.72 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2

Fabrizio-Cogato/A-late-Universe-approach
Main tools and results from arxiv:
Language: Python - Size: 1.01 GB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ChenSun-Phys/high_z_candles
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.
Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

deepsphere/deepsphere-tf1
DeepSphere: a graph-based spherical CNN (TensorFlow)
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EliabT/bayestack
Flexible, fully bayesian stacking software for modelling of astronomical data sets
Language: Python - Size: 3.65 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

florent-leclercq/correlations_vs_field
Correlation functions versus field-level inference in cosmology: example with log-normal fields
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tyler-a-cox/xcorr
Package for simulating and cross-correlating intensity mapping surveys
Language: Python - Size: 107 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
