SEDBYS: A python-based SED Builder for Young Stars
Claire L Davies

TL;DR
SEDBYS is a Python tool that streamlines the process of building spectral energy distributions for young stars by automating data collection, flux conversion, visualization, and reference management.
Contribution
It introduces a comprehensive, extensible Python-based pipeline for efficiently constructing SEDs from multiple data sources for young star studies.
Findings
Automates querying of photometric and spectroscopic catalogs.
Provides flux conversion using lookup tables.
Includes visualization and reference management tools.
Abstract
Spectral energy distributions (SEDs) are useful primary and complementary tools in the analysis of observations of young stars. However, the process of collating, inspecting, and flux-converting archival photometry and spectroscopy to build spectral energy distributions for young stars can be time-consuming. Here, I present SEDBYS (Spectral Energy Distribution Builder for Young Stars), a python-based repository of command-line tools built to (i) query online photometric and spectroscopic catalogs and a distributed database of archival photometry, (ii) use a look-up table of zero points to flux-convert the acquired data, (iii) enable visual inspection of the SED and (iv) handle book-keeping to collate references in bibTeX format. The code is distributed via git and is equipped with additional tools to enable users to add existing or forthcoming catalogs to the list of sources queried,…
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