Hybrid-basis inference for large-scale galaxy clustering
-
Updated
Aug 15, 2023 - Python
Hybrid-basis inference for large-scale galaxy clustering
Relativistic effects in ultra-large-scale galaxy clustering
The Python module that used to measure the environment-dependent Wavelet Power Spectrum (env-WPS) of the cosmic density field.
The Effects of Galaxy Assembly Bias on the Inference of Growth Rate from Redshift-Space Distortions (2019MNRAS.487.2424M)
Python function used to CosmicWebClassification using the Hessian Matrix of the gravitational potential
Add a description, image, and links to the large-scale-structure-cosmology topic page so that developers can more easily learn about it.
To associate your repository with the large-scale-structure-cosmology topic, visit your repo's landing page and select "manage topics."