SimpleMC workshop (2 days)

Oficial GitHub repo: https://github.com/ja-vazquez/SimpleMC

Docs: https://igomezv.github.io/SimpleMC/index.html#

Requirements

• A computer, Internet conection and a Google account (to use google colab).
• Otherwise, you must install the dependecies from requirements_full.txt. You can use pip3 install -r requirements_full.txt.

For didactic purposes, we recommend Google Colab, a free Google service to run notebooks in the cloud, allowing to use Python 2 or Python 3 with CPU, GPU and TPU. Only a Google account is required. SimpleMC is coded in Python 3.

You can find this repo from Google Colab, open it and make a copy to save your changes to Google Drive. You also can clone or download this repository and run the notebooks locally or in Google Colab.

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Workshop outline

Day 1

• Overview of Bayesian inference and parameter estimation
• Introduction and installation of SimpleMC.
• First examples in SimpleMC:
  • CosmoCalc
  • Optimizers.

Day 2

• Review for Day 1.
• Bayesian inference.
• Using an ini file (exercise).
• Model comparison (exercise).
• New models.
  • Without cosmology.
  • Based on LCDM.
• New datasets (optional, exercise).