pyIRoGlass 0.6.7

PyIRoGlass

PyIRoGlass

PyIRoGlass is a Bayesian MCMC-founded Python algorithm, written in the open-source language Python3, for determining $\mathrm{H_2O}$ and $\mathrm{CO_2}$ species concentrations in the transmission FTIR spectra of basaltic to andesitic glasses. We leverage a database of naturally degassed melt inclusions and back-arc basin basalts to delineate the fundamental shape and variability of the baseline underlying the $\mathrm{CO_{3}^{2-}}$ and $\mathrm{H_2O_{m, 1635}}$ peaks, in the mid-infrared region. PyIRoGlass employs Bayesian inference and Markov Chain Monte Carlo sampling to fit all probable baselines and peaks, solving for best-fit parameters and capturing covariance to offer robust uncertainty estimates.

Manuscript

Find the PyIRoGlass manuscript published at Volcanica on for a more detailed description of the development and validation of the method. If you use this package in your work, please cite:

Shi, S., Towbin, W. H., Plank, T., Barth, A., Rasmussen, D., Moussallam, Y., Lee, H. J. and Menke, W. (2024) “PyIRoGlass: An open-source, Bayesian MCMC algorithm for fitting baselines to FTIR spectra of basaltic-andesitic glasses”, Volcanica, 7(2), pp. 471–501. doi: 10.30909/vol.07.02.471501.

@article{Shietal2024,
    doi       = {10.30909/vol.07.02.471501},
    url       = {https://doi.org/10.30909/vol.07.02.471501},
    year      = {2024},
    volume    = {7},
    number    = {2},
    pages     = {471-501},
    author    = {Shi, Sarah C. and Towbin, W. Henry and Plank, Terry and Barth, Anna and Rasmussen, Daniel and Moussallam, Yves and Lee, Hyun Joo and Menke, William},
    title     = {PyIRoGlass: An open-source, Bayesian MCMC algorithm for fitting baselines to FTIR spectra of basaltic-andesitic glasses},
    journal   = {Volcanica}
}

Documentation

Read the documentation for a run-through of the PyIRoGlass code.

Run on the Cloud

If you do not have Python installed locally or if you use a Windows computer (without Linux), please run PyIRoGlass on VICTOR (Volcanology Infrastructure for Computational Tools and Resources) or on Google Colab. We strongly recommend the use of VICTOR, for significantly faster processing.

To run PyIRoGlass on VICTOR, run the following commands in the VICTOR terminal:

victor setup
15 

This will create an instance of PyIRoGlass in your local working directory.

Run and Install Locally

Obtain a version of Python between 3.8 and 3.12 if you do not already have it installed. PyIRoGlass can be installed with one line on Mac and Linux. Open terminal and type the following:

pip install PyIRoGlass

Make sure that you keep up with the latest version of PyIRoGlass. To upgrade to the latest version of PyIRoGlass, open terminal and type the following:

pip install PyIRoGlass --upgrade