astroPSG: Advanced Python Package for Processing and Analyzing Spectroscopic Data

astroPSG is a python package to process spectroscopic data that can be used over a broad range of wavelengths (from optical to infrared), for both low- and high-resolution spectrometers and it is applicable for both cometary and planetary atmosphere data. It connects to the Planetary Spectrum Generator (PSG) [Villanueva et al., 2018; 2022] radiative transfer models and allows retrievals of planetary parameters.

Spectroscopy has expanded dramatically over the past twenty years, enabling fundamental progress in most fields of astrophysics and planetary sciences. Today, advances in sensitive high-resolution long-slit echelle spectrometers (e.g. iSHELL/NASA IRTF, NIRSPEC-2/Keck, CRIRES+/ESO VLT) and analytical spectroscopic tools continue to open new paths in the exploration of planetary and cometary atmospheres with unprecedented precision, allowing detection of trace gases and their isotopes, as well as extensive lobal and accurate monitoring of the atmosphere composition, achieved by slit mapping techniques.

The data reduction of the high-dispersion spectral data is on the other hand very complex and usually the pipelines offered by the telescope facilities are highly tailored to point sources (e.g., stars and exoplanets), with a lack of capabilities for extended sources (e.g., planets and comets in our Solar System). Currently available open-source software packages do not contain the needed capabilities needed when interpretating spatial profiles and performing retrievals on a wide variety of planetary sources (e.g., heterogenous surface modeling, non-LTE emissions, isotopic mapping and high-accuracy telluric modeling near planetary lines). astroPSG permits to analyze the latest high-resolution ground-based and space-based astronomical, and it has particularly tailored for the interpretation of spatially extended planetary objects.