Software and Tools
These tools are not meant to be particularly polished, but should run and may be useful for astronomers. Please contact me with questions or comments.
Follow the analysis procedure of Duriscoe et al. 2007 to create all-sky maps of sky brightness (in magnitudes per square arcsecond) given a set of raw CCD images (fits files). CCD image files must contain an accurate timestamp, but do not require any other information to be included in the fits headers.
Utilizes MultiNest, PyMultiNest, and pyradex to derive physical conditions (temperature, density, column density, filling factor) for one or two components from molecular spectral line energy distributions
Plots included in PDF: https://github.com/jrka/astrojobs/blob/master/jobregister_plots.pdf
Repository with data collected from the AAS Job Register from 2002-2016.
Includes other supplementary tables (astronomy PhD degrees by year, astronomy funding by year, job register data pre-2002) that can be updated manually.
Includes scripts for analyzing and plotting in the data, along the lines of Metcalfe 2008.
pysurvey_plotting.py: This quick script includes some useful default settings for creating readable, correctly-proportioned plots for publications. There is also a function that figures out the correct dimensions for subplots to preserve axis length/height ratios and outside margins.
sched-outline-to-calendar.xlsx. See the "Instructions" sheet for how to use this spreadsheet to automatically translate your course outline into a calendar. You can easily update course dates from year to year.