A Python package and data repo for calculating BHSR rates and constraining the properties of ultralight bosons.
| Developer(s) | Sebastian Hoof |
|---|---|
| Maintainer(s) | Sebastian Hoof |
| Licence | BSD 3-clause licence, see the licence file for details |
Details on our proposed inference framework, which directly uses black hole mass and spin posterior samples to constrain ultralight bosons, can be found in our preprint [arXiv:2406.xxxxx]. More details to follow after the peer review process.
PRELIMINARY. The plot above shows the excluded parameter region for the ULB boson mass μ and f-1 for IRAS 09149-6206 (left panel) and M33 X-7 (right panel).
- Python interpreter v3.10 (or higher)
- Python packages iminuit, numba, numpy, qnm, scipy, superrad
- Optional: Python packages emcee, jupyterlab, matplotlib, tqdm
- Install the dependencies into your Python environment via
python -m pip install iminuit numba numpy qnm scipy superrad - Clone this repo via
git clone https://github.com/sebhoof/bhsr
We include the Jupyter notebook examples.ipynb to demonstrate a few of the capabilities of our code.
Even if you wish to only cite our code, we still ask you to cite [arXiv:2406.xxxxx] and to include a link to this Github repo. Sadly, code citations are still not widely recognised.
We (re-)distribute posterior samples from various BH data sets.
If you make use of the data included in the data/ folder, the following works should be cited:
| Black hole name | Samples | Reference(s) |
|---|---|---|
| IRAS 09149-6206 | M | [arXiv:1705.02345], [arXiv:2009.08463] |
| a* | [arXiv:2009.10734] | |
| M33 X-7 | (M,a*) | [arXiv:0803.1834] |