jpmvferreira / forecasting-fq-cosmology-with-ss

Source code for the article PhysRevD.105.123531 entitled "Forecasting F(Q) cosmology with ΛCDM background using standard sirens".

About

Source code for the article "Forecasting F(Q) cosmology with ΛCDM background using standard sirens".

Available under an APS subscription at PhysRevD.105.123531 and for free at arXiv:2203.13788 (both include the same version of the document)

Table of contents

• Repository outline
• Virtual environment
  • Dependencies
  • Replicate virtual environment
• Citation
• Feedback
• License

Repository outline

• /analyzed: Includes catalog and corner plots, which are analyzed by simplemc.
• /aux: A set of auxiliary scripts to aid in analysis or automation, which can be easily ignored by an external user.
• /config: The configuration files location used by the simplemc samplers.
• /cosmology: Custom cosmological models to be used by gwcatalog when generating standard sirens mock catalogs. Can be ignored by an external user.
• /data: All of the datasets used throughout our analysis, either real or generated.
• /model: The cosmological models to be constrained using simplemc.
• /output: The output of the MCMC performed by simplemc.
• /venv: Files related to the virtual environment used to develop our analysis.

The corresponding file to each of the catalogs used are:

• ET: data/ET-4.csv
• LISA (best): data/LISA-9
• LISA (median): data/LISA-10
• LISA (worst): data/LISA-12
• LIGO (best): data/LIGO-13
• LIGO (median): data/LIGO-1
• LIGO (worst): data/LIGO-2

Virtual environment

Dependencies

Besides a working Python environment, the packages explicitly being used are:

• gwcatalog (v1): Generate catalogs of standard siren events.
• simplemc (v1): A CLI that simplifies the usage of MCMC methods.

Although developed in the context of this work, these packages are completely independent.

If you don't wish to fully replicate the virtual environment, then installing the dependencies listed before will suffice.

Replicating the virtual environment

Start by cloning this repository locally using git to a folder named "fqgw":

$ git clone https://github.com/jpmvferreira/forecasting-FQ-cosmology-with-SS fqgw

Use conda (or any other compatible package manager) to create a new virtual environment from the file fqgw/venv/environment.yml, which we will call "fqgw":

$ conda env create -f fqgw/venv/environment.yml

Activate the newly created environment:

$ conda activate fqgw

Use pip to install all Python packages listed in fqgw/venv/environment.yml:

$ pip install -r fqgw/venv/requirements.txt

Citation

If you used any of the contents available in this repository, or found it useful in any way, you can cite it using the following BibTeX entry:

@article{PhysRevD.105.123531,
  title = {Forecasting $F(Q)$ cosmology with $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ background using standard sirens},
  author = {Ferreira, Jos\'e and Barreiro, Tiago and Mimoso, Jos\'e and Nunes, Nelson J.},
  journal = {Phys. Rev. D},
  volume = {105},
  issue = {12},
  pages = {123531},
  numpages = {10},
  year = {2022},
  month = {Jun},
  publisher = {American Physical Society},
  doi = {10.1103/PhysRevD.105.123531},
  url = {https://link.aps.org/doi/10.1103/PhysRevD.105.123531}
}

Feedback

Any discussion, suggestions or bug reports are always welcome. To do so, feel free to use this issue section in this repository, or even send me an email at:

• Personal email: [email protected] - [PGP key]
• Institutional email: [email protected] - [PGP key]

License

All of the contents provided in this repository are available under the MIT license.

For further information, refer to the file LICENSE.md provided in this repository.