Speaker
Description
I present a new spectral decomposition software and framework designed for user-friendly modelling of low-to-intermediate redshift quasar spectra. The Python-based framework is specifically designed for use in the 4MOST AGN survey (S6) to serve as an initial quick and robust spectral modelling tool. The framework is founded on statistically-motivated simplifications, such as fitting different spectral components separately, masking-out automatically identified narrow absorption lines, and tying velocity components of some prominent emission lines, to name a few, thereby optimising the computational performance of the code. In addition, the code is modular, allowing the user to define custom pipelines which best fit their use case, and includes features within uncertainty estimation (bootstrapping, MCMC, nested sampling), special-interest flagging (e.g. BAL labelling), and plotting.