Inference on Binary Neutron Star Populations

Document #:

LIGO-G1400939-v1

Document type:

G - Presentations (eg Graphics)

Abstract:

The aLIGO network stands to make hundreds of detections over the lifetime of the project. While there is much to be learned from the parameters of single events, the parameter distribution of the population of events is also of great interest for astrophysics, as this kind of parameter inference will help to develop gravitational-wave astronomy. The goal of this project is to develop the tools for estimating such population distributions and accounting for selection bias in such inferences. We will then apply the method to a simulated population of binary systems of neutron stars in order to estimate their mass distribution.

Files in Document:

• Final-Report.pdf (file is not accessible)

Other Files:

• Talk.key (file is not accessible)
• Talk.pdf (file is not accessible)

Topics:

• Other data analysis

Authors:

• Naomi Gendler

Keywords:

SURF2014

Referenced by:

• LIGO-P1400235: LIGO SURF 2014 Final Reports