Data Accompanying: "Deep follow-up of GW151226: ordinary binary or low-mass-ratio system?"
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https://zenodo.org/records/6975894
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资源简介:
Data accompanying the arxiv.org/abs/2203.13406 paper
This folder contain all the results for the Vajpeyi et al (2022) paper.
The structure of this repository is as follows:
├── GW150914
│ ├── literature_samples
│ │ └── mateu_qxeff_samples.npz
│ ├── results
│ │ ├── ptA_qxeff_deep_followup_result.json
│ │ └── ptB_qxeff_deep_followup_result.json
│ └── run_configs
│ ├── GWTC1_H1_PSD.dat
│ ├── GWTC1_L1_PSD.dat
│ ├── H1_data.gwf
│ ├── L1_data.gwf
│ ├── full.ini
│ ├── get_data.py
│ ├── ptA.ini
│ └── ptB.ini
├── GW151226
│ ├── literature_samples
│ │ ├── chia_qxeff_samples.npz
│ │ ├── mateu_qxeff_samples.npz
│ │ └── nitz_qxeff_samples.npz
│ ├── results
│ │ ├── chia_qxeff_deep_followup_result.json
│ │ ├── mateu_qxeff_deep_followup_result.json
│ │ └── nitz_qxeff_deep_followup_result.json
│ └── run_configs
│ ├── GWTC1_H1_PSD.dat
│ ├── GWTC1_L1_PSD.dat
│ ├── H1_data.gwf
│ ├── L1_data.gwf
│ ├── full.ini
│ ├── get_data.py
│ ├── ptChia.ini
│ ├── ptMateu.ini
│ └── ptNitz.ini
├── Injection
│ ├── results
│ │ ├── full_pe_on_injection_result.json
│ │ ├── ptA_qxeff_deep_followup_result.json
│ │ └── ptB_qxeff_deep_followup_result.json
│ └── run_configs
│ ├── full_pe.ini
│ ├── full_pe.prior
│ ├── ptA.ini
│ ├── ptA.prior
│ ├── ptB.ini
│ └── ptB.prior
├── README.md
├── print_odds.py
└── requirements.txt
The literature_samples folder contains the q-xeff samples from the literature.
The results folder contains the deep followup results for the various case studies.
The run_configs folder contains the configuration files analyses.
To reproduce the values from the Vajpeyi et al (2022) paper tables, run the following commands:
pip install -r requirements.txt
python print_odds.py
This will print the following:
-----------------------GW151226 Odds-----------------------
----------------------- ------------- ------------- ------------ ----------------
Pts KDE Post Odds Prior Odds Bayes Factor 'Deep' Post Odds
KDE-Mateu Mateu VS Chia 3.45+/-0.14 1.677+/-0.013 1.00+/-0.21 1.7+/-0.4
KDE-Chia Mateu VS Chia 0.328+/-0.004 1.676+/-0.012 1.00+/-0.21 1.7+/-0.4
KDE-Nitz Mateu VS Chia 1.715+/-0.014 1.676+/-0.012 1.00+/-0.21 1.7+/-0.4
----------------------- ------------- ------------- ------------ ----------------
----------------------- ------------- ------------- ------------ ----------------
Pts KDE Post Odds Prior Odds Bayes Factor 'Deep' Post Odds
KDE-Mateu Mateu VS Nitz 1.46+/-0.04 1.076+/-0.011 1.31+/-0.21 1.42+/-0.29
KDE-Chia Mateu VS Nitz 0.927+/-0.011 1.076+/-0.010 1.31+/-0.21 1.42+/-0.29
KDE-Nitz Mateu VS Nitz 0.870+/-0.006 1.076+/-0.012 1.31+/-0.21 1.41+/-0.29
----------------------- ------------- ------------- ------------ ----------------
---------------------- ------------- ------------- ------------ ----------------
Pts KDE Post Odds Prior Odds Bayes Factor 'Deep' Post Odds
KDE-Mateu Nitz VS Chia 2.38+/-0.10 1.560+/-0.012 0.76+/-0.21 1.19+/-0.25
KDE-Chia Nitz VS Chia 0.355+/-0.004 1.556+/-0.011 0.76+/-0.21 1.18+/-0.25
KDE-Nitz Nitz VS Chia 1.973+/-0.014 1.556+/-0.011 0.76+/-0.21 1.18+/-0.25
---------------------- ------------- ------------- ------------ ----------------
------------------------GW150914 A VS B------------------------
PtA q-xeff: (0.7, 0.02)
PtB q-xeff: (0.78, -0.04)
--------------- ------------- ------------- ------------ ----------------
Pts KDE Post Odds Prior Odds Bayes Factor 'Deep' Post Odds
GW150914 A VS B 0.248+/-0.016 1.056+/-0.013 0.2+/-0.4 0.24+/-0.10
--------------- ------------- ------------- ------------ ----------------
------------------------Injection A VS B------------------------
PtA q-xeff: (0.3605278878376452, 0.1729095104595008)
PtB q-xeff: (0.3923, 0.2461)
---------------- ------------- ------------- ------------ ----------------
Pts KDE Post Odds Prior Odds Bayes Factor 'Deep' Post Odds
Injection A VS B 0.474+/-0.018 1.344+/-0.010 0.35+/-0.24 0.47+/-0.11
---------------- ------------- ------------- ------------ ----------------
To rerun the deep followup analyses, run the following commands:
deep_followup_setup
parallel_bilby_analysis
External Data
This work utilised some external data. The data is described below:
1. q-xeff Posteriors
* The q-xeff samples labelled as 'Mateu' are obtained from Mateu-Lucena et al (2022)
* The q-xeff samples labelled as 'Nitz' are obtained from Nitz et al (2021)
* The q-xeff samples labelled as 'Chia' are obtained from the authors of Chia et al (2022), via email correspondence
2. Gravitational Wave Strain Data
* The raw strain data from the LIGO Hanford and Livingston detectors are obtained from GWOSC. The get_data.py script in the run_configs folder demonstrates how the data is downloaded.
3. Gravitational Wave PSD Data
* The PSDs for the GW150914 and GW151226 analyses are obtained from the LIGO dcc
References
* Nitz et al (2021): https://iopscience.iop.org/article/10.3847/1538-4357/ac1c03
* Mateu-Lucena et al (2022): https://doi.org/10.1093/mnras/stac2724
* Chia et al (2022): https://journals.aps.org/prd/abstract/10.1103/PhysRevD.106.024009
* LIGO dcc: https://dcc-llo.ligo.org/LIGO-P1900011/public
创建时间:
2022-12-01



