Unnamed repository; edit this file 'description' to name the repository.
Log | Files | Refs | README (1709B)

      1 # The mass distribution of Galactic double neutron stars
      2 We highly recommend reading [*The Mass Distribution of Galactic Double Neutron Stars*; (Farrow, Zhu, & Thrane 2019)]( for details along with this demonstraion.
      4 Here we provide code which performs Bayesian inference on a sample of 17 Galactic double neutron stars (DNS) in order to investigate their mass distribution. Each DNS is comprised of two neutron stars (NS), a recycled NS and a non-recycled (slow) NS. We compare two hypotheses: A - recycled NS and non-recycled NS follow an identical mass distribution, and B - they are drawn from two distinct populations. Within each hypothesis we also explore three possible functional models: gaussian, two-gaussian (mixture model), and uniform mass distributions.
      6 You can take a look at the [demo here]( or you can download the git repository with:
      8 `git clone`.
     10 ![binary mass pdfs](demoFiles/fig_pcSamples.png)
     12 ## Requirements 
     13 ### Without running inference (just demonstration & data analysis):
     14 * Jupyter or Ipython
     15 * numpy, scipy
     17 ### Additional requirements if performing own inference:
     18 * PyMultiNest (see
     20 ## Full code
     21 A more detailed version of the code can be found here under [mainCode](/mainCode/).
     23 ## Citations
     24 Thank you [Buchner et al. 2014, A&A]( for their python interface of MultiNest [F. Feroz, M.P. Hobson, M. Bridges. 2008](