meer21cm

Contents:

  • Installation
  • Developing meer21cm
  • Examples
  • Cookbook
    • Theory Recipes
      • Effect of weights in the power spectrum estimator and the modelling
      • On the importance of having the correct survey dimension and k-sampling for intensity mapping
      • Mode-Mixing due to PCA
      • Adding observational effects in your model power spectrum
    • Data Analysis Recipes
      • A full cross-correlation analysis of 2021 L-band data
      • 2019 L-band cross-correlation analysis
      • Check if the residual data map is noise-like after PCA
    • Mock Recipes
      • A note on simulation resolution and beam
      • Note on generating the correct number density of galaxies
      • Foreground Simulation
  • Authors
  • Releases
  • meer21cm package
meer21cm
  • Cookbook
  • View page source

Cookbook

This section contains some recipes that are useful for using meer21cm for simulation, power spectrum modelling, and data analysis.

Theory Recipes

  • Effect of weights in the power spectrum estimator and the modelling
  • On the importance of having the correct survey dimension and k-sampling for intensity mapping
  • Mode-Mixing due to PCA
  • Adding observational effects in your model power spectrum

Data Analysis Recipes

  • A full cross-correlation analysis of 2021 L-band data
  • 2019 L-band cross-correlation analysis
  • Check if the residual data map is noise-like after PCA

Mock Recipes

  • A note on simulation resolution and beam
  • Note on generating the correct number density of galaxies
  • Foreground Simulation
Previous Next

© Copyright 2025, MeerKLASS.

Built with Sphinx using a theme provided by Read the Docs.