Momchil Molnar's Projects
Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8
Apply ideas from unsupervised learning for classifying solar surface. We use Bayesian Gaussian mixture models with Dirichlet generative process to constrain the number of mixtures needed to clasify the data.
Compilation of routines for removing (seeing induced) optical distortions, based on local correlation tracking (LCT).
Python scripts for detecting wave signatures in IRIS obserations.
prominence inversions of the Mg II h/k lines with PCA + DL approach
Repo on exploration of the most optimal observational settings for performing Milne-Edington inversions.
Config files for my GitHub profile.
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
Removing the spectral PSF with Convolutional neural networks.
SunPy - Python for Solar Physics