IRCA

Python library for the interferometer response characterization algorithm (IRCA), containing a set of utilities for estimating the parametric transmittance response of Fabry-Perot interferometers, with particular attention to multi-aperture imaging spectrometers based on that technology. Main functionalities:

• Modeling the optical trasmittance response of a Fabry-Perot interferometer
• Characterizing that transmittance response their sampled version
• Simulating the acquisition of a multi-aperture interferometric imaging spectrometer from a hyperspectral image

Demonstration scripts

This repository provides three Jupyter notebooks associated to the main functionalities of the library:

Model:

• Demo: jupyter notebook ./notebooks/model.ipynb
• Shows the effect of modifying parameters on the Fabry-Perot transmittance response
• Provides an interactive tool to manually fit the curve to a reference

Characterization:

• Demo: jupyter notebook ./notebooks/characterization.ipynb
• Loads the characterization options for the IRCA proposed method
• Estimates the parameters of the transfer function for each interferometer
• Visualizes the parameters and compares the result with the training acquisitions

Simulator:

• Demo: jupyter notebook ./notebooks/characterization.ipynb
• Loads a conventional hyperspectral image and the characterization of the inteferometric device
• Simulates an acquisition obtained by a device with those characteristics

Project Structure

├── data                        <- Data folder
│   ├── acquisitions            <- Sample raw acquisitions from Image SPectrometer On Chip (ImSPOC)
│   ├── assets                  <- Web assets for this document
│   ├── characterization        <- Characterization options and parameters
│   ├── device                  <- Device information
│   └── hyperspectral           <- Sample hyperspectral image
│
├── notebooks                   <- Jupyter notebooks interactive demo scripts
│   ├── characterization.ipynb  <- Characterization demo script
│   ├── model.ipynb             <- Interferometry model demo script
│   └── simulator.ipynb         <- Simulator demo script
│
└── src                         <- Source code folder
    ├── characterization        <- Characterization module
    ├── demo                    <- Demo scripts
    ├── inversion               <- Interface scripts
    └── lib                     <- General custom library module

Requirements

• Python v3.8+
• NumPy: https://numpy.org/
• SciPy: https://scipy.org/
• Matplotlib: https://matplotlib.org/
• Pydantic: https://docs.pydantic.dev/
• Jupyter Notebook: https://jupyter.org/

To install the requirements:

• pip install -r requirements.txt

Citation

To use this code, please cite:

@article{picone2023irca,
  title     = {Interferometer response characterization algorithm for multi-aperture {Fabry-Perot} imaging spectrometers},
  author    = {Picone, Daniele and Gousset, Silv{\'e}re and Dalla Mura, Mauro and Ferrec, Yann and le Coarer, Etienne},
  journal   = {Optics Express},
  publisher = {Optica Publishing Group},
  year      = {2023},
  month     = jun,
  number    = {14},
  pages     = {23066--23085},
  volume    = {31},
  doi       = {https://doi.org/10.1364/OE.491698},
}