commit 4aa638bf13c66dee81bf9d952bb64576b62346a5
parent 72657b92dba6e0f55cd5e9e9551ae08f1602504b
Author: NicholasFarrow <nicholas.w.farrow@gmail.com>
Date: Thu, 7 Feb 2019 00:36:01 +1100
README changes
Diffstat:
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/README.md b/README.md
@@ -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](https://github.com/NicholasFarrow/GalacticDNSMass/blob/master/inferenceDemo.ipynb) or you can download the git repository with:
+
`git clone https://github.com/NicholasFarrow/GalacticDNSMass`.
-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):
