MICADO + ScopeSim

Introduction

A new MICADO data simulator is being developed as part of the generic simulator ScopeSim, a descendant of the older SimCADO software.

Prerequisites

  • A working installation of Python 3.6 or newer

  • A working installation of Jupyter notebooks if you want to run the simulator from notebooks, i.e. using a graphical interactive interface, rather than just the terminal or scripts (highly recommended)

  • A working installation of the Python package installer pip

Note

Bug reports and help-desk

If you come across a bug or get stuck with a certain aspect of ScopeSim or the MICADO package, please get in touch with us (emails addresses below).

Your feedback is the only way we know what needs to be changed/improved with the package and the simulator

Installation & setup

  1. Install scopesim in your python environment:

    $ pip install scopesim

  2. Create a directory where your simulation notebooks will live, e.g. ~/path/to/playing_with_scopesim/

  3. Install relevant irdb packages & download example notebooks into this directory:

    $ python
>> import scopesim
>> scopesim.download_packages(["Armazones", "ELT", "MICADO"])

  4. Download one of the tutorial notebooks (see Python notebooks)

  5. In a Terminal, cd to ~/ScopeSim and execute the notebook by calling:

    $ cd ~/path/to/playing_with_scopesim/
$ jupyter notebook filename.ipynb

  6. Follow instruction and explanations in the notebook.

Python notebooks

Note

To download a notebook from Github, either:

  • view the raw file and save this disk from the browser, or

  • navigate up one level, then right click the file and save as

Download the example notebooks from the Github repo

Input image and cube files for the notebooks can be found here

List of notebooks for MICADO

Scientific use-case notebooks

Science case notebooks

Name

Description

<add title>

<add description>

Documentation and useful references

Contact points