rrl_binaries_1

This code and supporting Jupyter notebooks document our implentation of the O-C method for RR Lyrae variables using a modified Hertzsprung method, as well as their Markov chain Monte Carlo fitting using the emcee package. We fit the O-C diagrams with a mixed model containing terms for both the light-travel time effect, as well as linear period change.

Further details of the techniques are available in the original paper of Hajdu et al. (2021).

These routines were tested on a machine running Linux Mint, using the following versions of the required packages:

• Python 3.7.10
• Numpy 1.20.1
• emcee 3.0.2
• Matplotlib 3.3.4
• Scipy 1.6.2
• scikit-learn 0.24.1
• tqdm 4.59.0
• Numba 0.53.1
• ChainConsumer 0.31.0