Published August 22, 2025
| Version v2
Dataset
Open
Inferring three-nucleon couplings from multi-messenger neutron-star observations (Supplemental Dataset)
Authors/Creators
-
1.
Syracuse University
-
2.
Los Alamos National Laboratory
- 3. Technische Universität Darmstadt: Darmstadt, DE
-
4.
Canadian Institute for Theoretical Astrophysics
Description
This dataset is a supplement to the paper: Inferring three-nucleon couplings from multi-messenger neutron-star observations. It is indended to be used in conjuction with an accompanying GitHub code repository located here.
Brief description of the folders containing the datafiles:
* Full_PE_results: EOS posterior samples obtained from parameter estimation for third-generation detectors, performed under the zero-noise approximation.
* GW170817: EOS posterior samples obtained from our GW170817 analysis.
* Injection_results: EOS posterior samples for third-generation detectors, obtained under the Fisher Matrix approximation.
* samples: Training and validation data for the neural network emulators.
Files
Datasets.zip
Files
(13.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:f0cce4a7631b11401e7c975b8272cb2e
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13.6 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/svisak/multimessenger_3N_constraints
- Programming language
- Python
References
- Inferring three-nucleon couplings from multi-messenger neutron-star observations; Rahul Somasundaram, Isak Svensson, Soumi De, Andrew E. Deneris, Yannick Dietz, Philippe Landry, Achim Schwenk, Ingo Tews; e-Print: 2410.00247 [nucl-th]