mma-resources

Resources related to multi-messenger astronomy outreach workshops

IN DEVELOPMENT!

Data/Simulations (/data)

Python Dependencies

• numpy
• astropy
• matplotlib
• afterglowpy (currently works with v0.7.3)

X-ray

Uses afterglowpy to produce models

Scripts

• data/xray/python/plotGrid_JetCocoon.py: plot models with real (GW170817) data points added
  • Note that parameters at the top of the file set the plot parameters
• data/xray/python/plotRandom.py: plot set of 9 random lightcurves with random jet type, distance and viewing angle
• data/xray/python/plotRandomData.py: plot mock data for random jet type, distance and viewing angle

Gravitational Waves

Plots localisation plots for grav waves detector timings

Data

• data/GW/dt_XY.csv: CSV file of time differences for detector pair X-Y on Cartesian grid of whole sky

Plots

• plots/GW/dt_XY.png: png file showing time differences for detector pair X-Y on Cartesian grid of whole sky

Scripts

• python/GW/plot-locmaps.py: plot localisation timing maps for grav wave detectors, and output data files

Front-end

The source for the website is the src/ directory. The structure of this directory will be copied to the dist/ directory by the build process using the default language. The build process will also create sub-directories with the same structure for each language code that has been enabled. Within the src/ directory, HTML and JS files can contain {{ site.translations.main.welcome.title }} style language replacement string. These reference the structure of language YAML files that are included under translations in config.yml. For example:

translations:
    main: "translations.yml"
    waveform: "src/gw/waveform-fitter/data/translations.yml"

references two different translation files and gives each one a namespace. So {{ site.translations.main.welcome.title }} extracts the welcome>title from translations.yml.

The site can be built using:

perl build.pl

This process will be run automatically on push via a Github Action.

To create a simple server, navigate into the dist/ directory and run:

python3 -m http.server -b 192.168.0.1 8000

where 192.168.0.1 is your local IP address.