tsipkens/pydias

How tsipkens/pydias works

PYDIAS is a scientific Python toolkit for aerosol transfer-function evaluation and one- and two-dimensional inversion. Its example workflows configure classifier measurements, build response kernels, invert measured or generated data, and visualize or transform the resulting distributions. The README identifies transfer functions, unidimensional inversion, and tandem-measurement bidimensional inversion as distinct capabilities. Edges reflect the sampled examples and source references; other documented capabilities are included without inferring unsampled call paths.

Main entry points: main_invert2_aams.py Tandem inversion example · main_invert_pma.py PMA inversion example · tfer.py Classifier models · main_tfer.py Transfer evaluation example

Components 14

Other components

Researcher

Connections 16

Researcher → Tandem inversion example: runs example
Researcher → PMA inversion example: runs example
Researcher → Transfer evaluation example: runs example
Tandem inversion example → Synthetic distributions: creates distribution main_invert2_aams.py
Tandem inversion example → Distribution grids: configures grid main_invert2_aams.py
Tandem inversion example → 2D response kernels: builds response main_invert2_aams.py
2D response kernels → Classifier models: evaluates responses bidias/kernel.py
Tandem inversion example → 2D inversion methods: inverts data main_invert2_aams.py
2D inversion methods → 1D inversion methods: uses solver engine bidias/invert.py
Tandem inversion example → Distribution transforms: transforms estimate main_invert2_aams.py
Distribution grids → Color and display utilities: uses display tools bidias/Grid.py
PMA inversion example → Classifier models: sets classifier points main_invert_pma.py
PMA inversion example → 1D response kernels: builds response main_invert_pma.py
1D response kernels → Classifier models: evaluates responses odias/kernel.py
PMA inversion example → 1D inversion methods: inverts data main_invert_pma.py
Transfer evaluation example → Classifier models: evaluates functions main_tfer.py

Drawn by GitDiagram on November 11, 2026 from the repository's file tree, README and source files. Read as Markdown ·

How tsipkens/pydias works

Main entry points: main_invert2_aams.py Tandem inversion example · main_invert_pma.py PMA inversion example · tfer.py Classifier models · main_tfer.py Transfer evaluation example

Connections 16

Researcher → Tandem inversion example: runs example
Researcher → PMA inversion example: runs example
Researcher → Transfer evaluation example: runs example
Tandem inversion example → Synthetic distributions: creates distribution main_invert2_aams.py
Tandem inversion example → Distribution grids: configures grid main_invert2_aams.py
Tandem inversion example → 2D response kernels: builds response main_invert2_aams.py
2D response kernels → Classifier models: evaluates responses bidias/kernel.py
Tandem inversion example → 2D inversion methods: inverts data main_invert2_aams.py
2D inversion methods → 1D inversion methods: uses solver engine bidias/invert.py
Tandem inversion example → Distribution transforms: transforms estimate main_invert2_aams.py
Distribution grids → Color and display utilities: uses display tools bidias/Grid.py
PMA inversion example → Classifier models: sets classifier points main_invert_pma.py
PMA inversion example → 1D response kernels: builds response main_invert_pma.py
1D response kernels → Classifier models: evaluates responses odias/kernel.py
PMA inversion example → 1D inversion methods: inverts data main_invert_pma.py
Transfer evaluation example → Classifier models: evaluates functions main_tfer.py

Drawn by GitDiagram on November 11, 2026 from the repository's file tree, README and source files. Read as Markdown ·

tsipkens/pydias

How tsipkens/pydias works

Example workflows

Transfer functions

Unidimensional inversion

Bidimensional inversion

Other components

tsipkens/pydias

How tsipkens/pydias works

Example workflows

Transfer functions

Unidimensional inversion

Bidimensional inversion

Other components