DiadFit: : An open-source Python']Python3 tool for peak fitting of Raman data from silicate melts and volcanic fluids

We present DiadFit-an -an open-source Python3 tool for efficient processing of Raman spectroscopy data collected from fluid inclusions, melt inclusions and silicate melts. DiadFit is optimized to fit the characteristic peaks from CO2 2 fluids (Fermi diads, hot bands, 13 C), gas species such as SO2, 2 , N2, 2 , solid precipitates (e.g. carbonates), and Ne emission lines with easily tweakable background positions and peak shapes. DiadFit's 's peak fitting functions are used as part of a number of workflows optimized for quantification of CO2 2 in melt inclusion vapour bubbles and fluid inclusions. DiadFit can also convert between temperature, pressure and density using various CO2 2 and CO2-H2O 2-H 2 O equations of state (EOS), allowing calculation of fluid inclusion pressures (and depths in the crust), conversion of homogenization temperatures from microthermometry to CO2 2 density, and propagation of uncertainties associated with EOS calculations using Monte Carlo methods. There are also functions to quantify the area ratio of the silicate vs. H2O 2 O region of spectra collected on silicate glasses to determine H2O 2 O contents in glasses and melt inclusions.