https://github.com/simonsobs/mapsims_tutorials

Notebooks on how to use mapsims and Simons Observatory's map based simulations
https://github.com/simonsobs/mapsims_tutorials

Last synced: 10 months ago
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Notebooks on how to use mapsims and Simons Observatory's map based simulations

• Host: GitHub
• URL: https://github.com/simonsobs/mapsims_tutorials
• Owner: simonsobs
• License: other
• Created: 2020-06-22T18:29:25.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-11-06T07:08:18.000Z (over 5 years ago)
• Last Synced: 2025-05-17T04:34:33.429Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 6.03 MB
• Stars: 0
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
![Tests](https://github.com/simonsobs/mapsims_tutorials/workflows/Python%20package/badge.svg)

`mapsims` tutorials

===================

Notebooks on how to use [`mapsims`](https://github.com/simonsobs/mapsims) and [Simons Observatory's map based simulations](https://github.com/simonsobs/map_based_simulations).

For any errors or feedback, open an issue on this repository.

## Recording of the 1-hour tutorial (June 2020)

[![Youtube video](https://img.youtube.com/vi/kzERT42qyZs/0.jpg)](https://www.youtube.com/watch?v=kzERT42qyZs&start=148)

Or download the video in MP4 format from the [Simons Observatory wiki (needs credentials)](http://simonsobservatory.wikidot.com/ff2f-recordings)

## Review notebooks without executing them

See the [already executed notebooks](https://nbviewer.jupyter.org/github/zonca/mapsims_tutorials/tree/executed/)

## Setup at NERSC

* Login to [Jupyter@NERSC](https://jupyter.nersc.gov)

* Open a terminal

* Clone this repository:

        git clone https://github.com/simonsobs/mapsims_tutorials

* Run the kernel installation script:

        bash install_mbs_kernel_nersc.sh

* Refresh the browser page

* You should have now the "Simons Obs MBS" kernel

## Local setup

The only tricky dependencies of `mapsims` are `healpy` and `pysm3`.

It is easier to install them with Conda, but pip should work as well:

        conda create -c conda-forge -n mbs python=3.7 astropy healpy pysm3 numba h5py libsharp=*=*openmpi* mpi4py ipykernel

The tutorial requires `mapsims`, `so_noise_models` and `pixell`, they can be installed with:

    pip install -r requirements.txt