The galaxy stellar mass function and low surface brightness galaxies from core-collapse supernovae.
Sedgwick, Baldry, James & Kelvin
2019a, MNRAS, 484, 5278;
and with improved photo-z techniques
2019b.
Abstract
We introduce a method for producing a galaxy sample unbiased by surface brightness and stellar mass,
by selecting star-forming galaxies via the positions of core-collapse supernovae (CCSNe).
Whilst matching about 2400 supernovae from the SDSS-II Supernova Survey to their host galaxies using IAC Stripe 82 legacy coadded imaging, we find about 150 previously unidentified low surface brightness galaxies (LSBGs).
Using a sub-sample of about 900 CCSNe, we infer CCSN-rate and star formation rate densities as a function of galaxy stellar mass, and the star-forming galaxy stellar mass function. Resultant star-forming galaxy number densities are found to increase following a power law down to our low-mass limit of about 106.4 Msun
by a single Schechter function with a faint-end slope of alpha = -1.41.
Number densities are consistent with those found by the EAGLE simulations invoking a Lambda cold dark matter cosmology.
Overcoming surface brightness and stellar mass biases is important for assessment of the sub-structure problem.
In order to estimate galaxy stellar masses, a new code for the calculation of galaxy photometric redshifts,
zMedIC, is also presented, and shown to be particularly useful for small samples of galaxies.
Data:
CCSN-rate density as a function of galaxy stellar mass and inferred GSMF of star-forming galaxies:
Description File,
FITS binary table.
SN-selected galaxy catalogue:
Description File,
FITS binary table.
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