PySnacks 7: sedcreator: the python package to build and fit spectral energy distributions

Spectral Energy Distributions (SEDs) play a vital role in understanding the processes of star formation, especially in the context of massive protostars. The sedcreator Python package has been developed to streamline the construction and fitting of SEDs. This tool is developed in the context of massive star formation theories, particularly Core Accretion. It leverages data from the SOMA survey and the Zhang&Tan model grid, based on the Turbulent Core model, to provide a comprehensive approach to SED analysis. With this package, users can easily measure the flux on their selected object and fit these fluxes to a grid of models. This process allows for the estimation of critical physical properties associated with the forming protostar, such as the mass of the central protostar. The sedcreator package represents a significant step forward in the study of SEDs in the context of star formation and massive stars. This package is twofold: i) Measure the flux in any given astronomical image, from Spitzer, SOFIA, and Herschel which are the basis of the SOMA survey, to ALMA, or the space telescopes HST and JWST. ii) Fit measured fluxes either using this tool or measured with your own tool to a grid of SED models focused on star formation. They can be used in tandem or separated, you choose. The wavelength range covers from ~1μm to 3mm. This course will be taught by Rubén Fedriani.