The large-scale environment of thermonuclear and core-collapse
  supernovae
  The new generation of wide-field time-domain surveys has made it feasible to
study the clustering of supernova (SN) host galaxies in the large-scale
structure (LSS) for the first time. We investigate the LSS environment of SN
populations, using 106 dark matter density realisations with a resolution of
$\sim$ 3.8 Mpc, constrained by the 2M++ galaxy survey. We limit our analysis to
redshift $z<0.036$, using samples of 498 thermonuclear and 782 core-collapse
SNe from the Zwicky Transient Facility's Bright Transient Survey and Census of
the Local Universe catalogues. We detect clustering of SNe with high
significance; the observed clustering of the two SNe populations is consistent
with each other. Further, the clustering of SN hosts is consistent with that of
the Sloan Digital Sky Survey (SDSS) Baryon Oscillation Spectroscopic Survey
(BOSS) DR12 spectroscopic galaxy sample in the same redshift range. Using a
tidal shear classifier, we classify the LSS into voids, sheets, filaments and
knots. We find that both SNe and SDSS galaxies are predominantly found in
sheets and filaments. SNe are significantly under-represented in voids and
over-represented in knots compared to the volume fraction in these structures.
This work opens the potential for using forthcoming wide-field deep SN surveys
as a complementary LSS probe.
