Tools for simulating, forecasting and analyzing statistical cross-correlations between fast radio bursts and other cosmological sources.
- Python 3.7+
- numpy:
python3 -m pip install --user numpy==1.19.1 - scipy:
python3 -m pip install --user scipy==1.5.2 - astropy:
python3 -m pip install --user astropy==3.2.3 - matplotlib:
python3 -m pip install --user matplotlib==3.2.1 - camb:
python3 -m pip install --user --upgrade camb - pyfftw:
python3 -m pip install --user --upgrade pyfftw - healpy:
python3 -m pip install --user healpy==1.14.0 - h5py:
python3 -m pip install --user h5py==2.10.0 - multiprocess:
python3 -m pip install --user --upgrade multiprocess - pathos:
python3 -m pip install --user --upgrade pathos - handout:
python3 -m pip install --user handout==1.1.2 - corner:
python3 -m pip install --user corner==2.1.0 - requests:
python3 -m pip install --user requests==2.24.0 - chime_frb_api:
python3 -m pip install --user chime_frb_api==2020.8 - pymangle:
python3 -m pip install --user pymangle==0.9.1(gcc-5.4.0) - pygedm:
python3 -m pip install --user git+https://github.com/telegraphic/pygedm(gcc-5.4.0) - pytz:
python3 -m pip install --user pytz
- Define an environment variable
FRBXDATApointing todata ln -s ARCHIVE_DIR data/archive, whereARCHIVE_DIRcan e.g. be/data/<user_name>mkdir ARCHIVE_DIR/pkls ARCHIVE_DIR/catalogs ARCHIVE_DIR/maps ARCHIVE_DIR/outputs ARCHIVE_DIR/plots ARCHIVE_DIR/logspython3 setup.py install --user(You may also need a--prefix=at the end!)- Follow the instructions for authenticating access to CHIME/FRB master
We encourage the use of Python Handouts for high-level
scripting and sharing results! Some examples can be found in ./handouts/. To run one, simply
do python3 <script_name.py>. Then, open data/archive/outputs/<script_name>/index.html in
your browser!
- Rafiei-Ravandi, M. et al. (2023) Statistical association between the candidate repeating FRB 20200320A and a galaxy group. arXiv:2308.09608.
- Rafiei-Ravandi, M. et al. (2021) CHIME/FRB Catalog 1 results: statistical cross-correlations with large-scale structure. ApJ, 922, 42.
- Rafiei-Ravandi, M., Smith, K. M., and Masui, K. W. (2020) Characterizing fast radio bursts through statistical cross-correlations. PRD, 102, 023528.