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commit 4aa638bf13c66dee81bf9d952bb64576b62346a5
parent 72657b92dba6e0f55cd5e9e9551ae08f1602504b
Author: NicholasFarrow <>
Date:   Thu,  7 Feb 2019 00:36:01 +1100

README changes

Diffstat: | 3++-
1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/ b/ @@ -2,9 +2,10 @@ 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), one recycled NS and one 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. You can take a look at the [demo here]( or you can download the git repository with: + `git clone`. -We highly recommend reading <arxiv link> along with this demonstraion. +We highly recommend reading `<arxiv link>` along with this demonstraion. ## Requirements ### Without running inference (just demonstration & data analysis):