Carlos José Díaz Baso's repositories

enhance

Enhance

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denoiser

Solar image denoising with convolutional neural networks

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bayesflows

Bayesian Stokes inversion with Normalizing flows

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active_sampling

Designing wavelength sampling for Fabry-Pérot observations

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ESPD2024

Machine Learning lecture at the 1st European solar physics division (ESPD) summerschool: Energisation and heating in the solar plasma 29 April - 3 May 2024 Dubrovnik, Croatia

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MPySIR

SIR inversions: MPI implementation with python

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SIRcode

SIR: Stokes Inversion based on Response functions

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HelioML

A book about machine learning, statistics, and data mining for heliophysics

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LMpyMilne

LMpyMilne: LMfit Inversion in a Milne-Eddington atmosphere (in python)

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3d_sir

A synthesis code for the synthesis of LTE lines based on SIR

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e2cnn

E(2)-Equivariant CNNs Library for Pytorch

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forking-workflow-exercise

Exercise to practice collaborative forking workflow.

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hazel2

Hazel v2.0: synthesis and inversion of Stokes profiles caused by the joint action of atomic level polarization and the Hanle and Zeeman effects

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ISPy

An Institute for Solar Physics Python repository

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me_inversion_exercises

Set of exercises for ME inversion

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milne

Milne-Eddington synthesis/inversion

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NICOLE

NLTE Stokes Synthesis/Inversion Code

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pyana

Python library for reading ANA files

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pySIR

Python wrapper for the Stokes Inversion based on Response functions code by Ruiz Cobo & del Toro Iniesta (1992)

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RH

Radiative transfer code based on the multi-level approximate lambda iteration formalism of Rybicki & Hummer (1991, 1992). The code solves the combined equations of statistical equilibrium and radiative transfer for multi-level atoms and molecules in a given plasma under general Non-LTE conditions.

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rvm

Relevance Vector Machine

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SICON_hinode

Neural 3D LTE inversor for Hinode data

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SIR_GUI

Python GUI to display atmospheric models and Stokes profiles from the SIR spectral line inversion code

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thesis

PhD dissertation 2018

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wordcount_cdiazbas

Create documentation for a project

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