Gaia science performance simulation toolkit
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Updated
Aug 9, 2024 - Python
Gaia science performance simulation toolkit
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
A not so mini implementation of the Gaussian process frameworks described on Rajpaul et al. (2015) and Jones et al. (2017).
Decompose spectrum of resolved SB2 binary to extract radial velocity of individual components
Modelling RV and activity indicators with an artificial GP network
A pure Python code for working with radial velocities of stars with a massive companion.
The use of Gaussian processes in the analysis of radial velocity measurements if you are into those things.
Simple code to compute radial velocities of an astronomical binary system (e.g. an exoplanet orbiting a star) based on its orbital parameters.
RAD-ASS: the RADius-mASS relationship of exoplanets project from OSU's URSA program.
SDO Data Analysis for CLV
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