Simulating and Optimising Dynamical Models in Python 3
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Updated
Oct 23, 2024 - Python
Simulating and Optimising Dynamical Models in Python 3
RADEX+emcee, LVG modeling with an MCMC approach, used in arXiv: 1709.04740
Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey
taurex-emcee: automated, parallelized atmospheric retrievals with TauREx 3.1 and the emcee sampler
Bayesian inference on monthly sunspot data to find Jupiter's influence
Code to fit simulations of detector response to gamma sources to actual data.
BISIP | Bayesian inversion of spectral induced polarization laboratory data
Suite of code that models fallback accretion onto a magnetar and uses MCMC to fit this to samples of GRBs
Bayesian linear regression in python
The code I used for researching black holes using gravitational wave data for my Bachelor's Thesis.
Markov chaIn Monte Carlo Multipole Decomposition Analysis -- a system for giant resonance MDA using the emcee package and an .so file written in C
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