*** This event has been cancelled due to the electrical intervention that will affect the Observatory on Wednesday morning ***
The PHANGS-MUSE survey offers us an unprecedented view of the ionized
interstellar medium of nearby star-forming galaxies. The high spatial
resolution (~50 pc) allows us to identify and isolate single emitting
clouds, while the broad spectral range offers us the opportunity to
study their properties in detail. However, a correct classification of
the nebulae (e.g., HII regions, planetary nebulae, supernova remnants)
is critical to studying them and their role in galaxy evolution.
Many classification schemes have been developed in the literature in the
last few decades. Still, none of them can take advantage of all the
information provided by modern integral field spectrographs like
MUSE@VLT. In this talk, I will present the results of a new algorithm
that aims to reliably and objectively classify nebulae using the
Bayesian principle of the odds ratio to compare spectral and
morphological properties of each region to models representing different
classes of nebulae. This algorithm is applied to the nebulae identified
in the PHANGS-MUSE survey to produce the most extensive catalog of
classified ionized nebulae available in the literature.
Stefano Ciroi
