Tutorials
Note
PICASO tutorials are now provided as Jupytext .py files. To learn how to download and run these as notebooks, please see our Tutorial Workflow page.
Getting Data and Setting up Environments after Installation
This quickstart notebook has some overlap with our installation instructions (Please read the installation page first if you are unfamiliar with package installation, environment variables, etc), but it is designed to be a quick way to get up and running with PICASO after you have installed it. It includes instructions for getting reference data, setting up environments, and checking environments have been successfully setup.
Basics of Spectral Modeling
Chemistry
Clouds
1D Climate Modeling
Relevant Citations: Mukherjee et al. 2023
- Brown Dwarfs
- Planet
- Planet w/ Photochemistry
- Brown Dwarfs w/ Disequilibrium Chemistry (Self-Consistent Kzz)
- Brown Dwarfs w/ Disequilibrium Chemistry (Constant Kzz)
- Brown Dwarfs w/ Clouds
- Brown Dwarfs w/ Clouds and Disequilibrium Chemistry
- Creating a grid of models to use with PICASO's fitting tools
- Brown Dwarfs w/ Energy Injection
3D Spectra and Phase Curves
Relevant Citations: Adams et al. 2022 for 3D spectra and Robbins-Blanch et al. 2022 for Phase Curves.
- Non-Zero Phase and Spherical Integration
- Basics of a 3D Calculation
- What is post-processing?
- Post-Process 3D Chemistry Input
- Post-Processing Clouds for 3D runs
- Modeling a 3D Spectrum (Adams et al. 2022)
- Modeling a Thermal Phase Curve pt 1 (Robbins-Blanch et al. 2022)
- Modeling a Thermal Phase Curve pt 2 (Robbins-Blanch et al. 2022)
- Modeling a Reflected Light Phase Curve (Hamill et al. 2024)
Fitting models to data
Opacities
Radiative Transfer Techniques
- Approximations for Toon89 Two-Stream Radiative Transfer in Reflected Light
- Benchmark Toon89 w/ Dlugach & Yanovitskij (1974)
- Spherical Harmonics Radiative Transfer in Reflected Light
- Approximations for Spherical Harmonics Radiative Transfer in Thermal Emission
- Dependence of Radiative Transfer Method on Scattering Parameters