EMPEROR
Exoplanet Mcmc Parallel tEmpering for Rv Orbit Retrieval.
Overview
EMPEROR (Exoplanet Mcmc Parallel tEmpering for Rv Orbit Retrieval), is a Python-based algorithm that automatically searches for signals in Radial Velocity timeseries (and also joint modelling with Astrometry), employing Markov chains and parallel tempering methods, convergence tests and Bayesian statistics, along with various noise models. A number of posterior sampling routines are available, focused on efficiently searching for signals in highly multi-modal posteriors. The code allows the analysis of multi-instrument and multi-planet data sets and performs model comparisons automatically to return the optimum model that best describes the data.
Why EMPEROR?
- It's really simple to use
- It has a series of configuration commands that will amaze you
- Advanced Noise Models
- Quite Flexible!
Quick Install
Dependencies
This code makes use of:
All of them can be easily installed with pip.
For additional capabilities, you can install:
Pip
In the console type
pip install astroemperor
From Source
In the console type
git clone https://github.com/ReddTea/astroemperor/
cd astroemperor
python -m pip install -e .
Installation Verification
Download the tests folder and run test_basic.py to make sure everything works!
In terminal:
python test_basic.py
Quick Usage
We need to set up our working directory with two subfolders, datafiles and datalogs, the former for data input, the later for output.
📂working_directory
┣ 📜mini_test.py
┣ 📂datafiles
┃ ┣ 📂51Peg
┃ ┃ ┗ 📂RV
┃ ┃ ┃ ┗ 📜51peg.vels
┣ 📂datalogs
┃ ┣ 📂51Peg
┃ ┃ ┗ 📂run_1
Running the code is as simple as:
import astroemperor
sim = astroemperor.Simulation()
sim.set_engine('reddemcee')
sim.engine_config['setup'] = [2, 100, 500, 1]
sim.load_data('51Peg') # read from ./datafiles/
sim.plot_trace['plot'] = False # deactivate arviz plots
sim.autorun(1, 1) # (from=1, to=1): just 1 keplerian
User Guide
In depth utilities of EMPEROR.
- Installation
- Getting Started
- Seeting the Sampler
- Setting up the Model
- Model Comparison and Next Run
- The Results
- FAQ
License and Attribution
Copyright (c) 2024 Pablo Peña Rojas.
EMPEROR is open software under the MIT License (see License).
If you use EMPEROR, please cite the paper (arXiv, ADS, SciX, aanda).
BibTeX:
@ARTICLE{2025A&A...704A.323P,
author = {{Pe{\~n}a R.}, Pablo A. and {Jenkins}, James S.},
title = "{EMPEROR: I. Exoplanet MCMC parallel tempering for RV orbit retrieval}",
journal = {A\&A},
keywords = {methods: data analysis, methods: numerical, techniques: radial velocities, planets and satellites: detection, planets and satellites: individual: HD 55693, planets and satellites: individual: Barnard's Star, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics},
year = 2025,
month = dec,
volume = {704},
eid = {A323},
pages = {A323},
doi = {10.1051/0004-6361/202554336},
archivePrefix = {arXiv},
eprint = {2511.05331},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025A&A...704A.323P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}