Software Open Access
Three examples of learning orbital dynamics of binary black hole systems from gravitational wave measurements with Julia
Keith, Brendan;
Khadse, Akshay;
Field, Scott E.
This directory contains the source code from the peer-reviewed scientific journal article "Learning orbital dynamics of binary black hole systems from gravitational wave measurements", by Brendan Keith, Akshay Khadse, and Scott E. Field.
Files
(2.6 MB)
| Name | Size | |
|---|---|---|
|
CollectSXSData.py
md5:8f597d07c66bfd7dd2f1c3ac26ce2f21 |
8.8 kB | Download |
|
GWaveInversion.zip
md5:9d3dedb260bf7425f7fd79bd71423a17 |
2.6 MB | Download |
1,009
159
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 1,009 | 1,009 |
| Downloads | 159 | 159 |
| Data volume | 262.1 MB | 262.1 MB |
| Unique views | 895 | 895 |
| Unique downloads | 106 | 106 |
Indexed in
- Publication date:
- February 15, 2021
- DOI:
-
- Keyword(s):
- Gravitational-wave astronomy Machine learning Inverse problem
- Grants:
-
National Science Foundation:
- Institute for Computational and Experimental Research in Mathematics (1439786)
- Related identifiers:
- Supplement to
- 10.1103/PhysRevResearch.3.043101 (Journal article)
- https://arxiv.org/abs/2102.12695 (Preprint)
- License (for files):
- Creative Commons Attribution 4.0 International