beetroots

Contents

  • beetroots
  • Gallery of examples
    • How to set up the input file
    • Two-dimensional Gaussian mixture
    • Sensor localization problem
    • Sensor localization: appendix
    • Application to a synthetic ISM map
    • Application to NGC 7023
    • How to visualize maps
    • How to adjust the likelihood approximation parameter
beetroots
  • Gallery of examples
  • View page source

Gallery of examples

This gallery contains several application examples for the beetroots package to illustrate diverse features.

We first explain how to use this package and How to set up the input file associated to your inversion.

We then propose detailed walkthroughs for three examples:

  • Sampling from a Two-dimensional Gaussian mixture

  • Solving the Sensor localization problem introduced in Ihler et al. [2005]

  • An Application to a synthetic ISM map, introduced in Section IV.C of Palud et al. [2023]

  • An Application to NGC 7023, a 1-pixel observation already analyzed in Joblin et al. [2018]

Finally, we present secondary yet important features of the beetroots package:

  • How to visualize maps of observations or of estimators

  • How to adjust the likelihood approximation parameter in beetroots.modelling.likelhoods.approx_censored_add_mult

Gallery

  • How to set up the input file
  • Two-dimensional Gaussian mixture
  • Sensor localization problem
  • Sensor localization: appendix
  • Application to a synthetic ISM map
  • Application to NGC 7023
  • How to visualize maps
  • How to adjust the likelihood approximation parameter
Previous Next

© Copyright 2024, Pierre Palud.

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