Radiative transfer and synthetic radio imaging of ionised jets from young forming stars
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Updated
Jun 6, 2023 - Python
Radiative transfer and synthetic radio imaging of ionised jets from young forming stars
U.S. Standard Atmosphere 1976
Compressed representations of opacity for radiative transfer!
This repository includes the training and testing of the Neural Network model proposed in the article titled "Quantification of Shortwave Surface Albedo Feedback using a Neural Network Approach".
Process maps of artificial night sky radiance with .kmz extension
Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients
Fast tool for 1D Non-LTE stellar parameter determination via Equivalent Width method
Tools for modelling exoplanet spectra
Repack and compress line-transition data
This is a basic python interface to CRTM v2.3.0.
Generating Leaf Area Index Data For Super-Resolution
A multi-wavelength SED model based on radiative transfer and deep learning.
Reference atmospheric thermophysical properties for radiative transfer applications in Earth's atmosphere.
Implicit Monte Carlo radiation transport a la Fleck and Cummings 1971
Python interface to C2Ray, with GPU-acceleration
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets and Benchmarks Track)
For the investigation of NLTE glowy stuff. A python framework for constructing solar NLTE radiative transfer simulations in one- and two-dimensional geometries, with an optimised C++ backend.
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