A multi-planet Radial Velocity and Transit modelling software
-
Updated
Sep 6, 2024 - Jupyter Notebook
A multi-planet Radial Velocity and Transit modelling software
Gaia science performance simulation toolkit
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
Computes Cross Correlation Functions (CCFs) with RvSpectML
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
The use of Gaussian processes in the analysis of radial velocity measurements if you are into those things.
Better Radial velocities from Stellar Spectroscopy via Machine Learning
Instrument-speciifc code for RvSpectML
Base package to be imported by other members of RvSpectML ecosystem
General Toolkit for Modeling Radial Velocities
Scalpels algorithm
Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."
A testbed for stellar granulation in exoplanet RV searches.
A not so mini implementation of the Gaussian process frameworks described on Rajpaul et al. (2015) and Jones et al. (2017).
Repo for RvSpectML code still in the experimental stage
Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML
Decompose spectrum of resolved SB2 binary to extract radial velocity of individual components
Plotting functions/scripts for use with RvSpectML
README for RvSpectML project
A pure Python code for working with radial velocities of stars with a massive companion.
Add a description, image, and links to the radial-velocities topic page so that developers can more easily learn about it.
To associate your repository with the radial-velocities topic, visit your repo's landing page and select "manage topics."