BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Tracing the environments of low-surface-brightness galaxies
DTSTART;VALUE=DATE-TIME:20261019T124500Z
DTEND;VALUE=DATE-TIME:20261019T130000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103439Z
UID:indico-contribution-2256@events.ncbj.gov.pl
DESCRIPTION:Speakers: Henry Willems (NCBJ)\nLow-surface-brightness galaxie
 s (LSBGs) provide important insights into galaxy formation and evolution\,
  yet the role of the environment in shaping their properties remains poorl
 y understood. Using a sample of ~ 20\,000 LSBGs from the Kilo-Degree Surve
 y (KiDS)\, we investigate how their spatial distribution depends on colour
  and morphology.  We quantify their clustering with the angular two-point 
 correlation function and use Limber inversion with the redshift distributi
 on to infer spatial correlation lengths. We find that red LSBGs cluster su
 bstantially more strongly than blue LSBGs. Moreover\, featureless galaxies
  exhibit the strongest clustering\, spirals the weakest\, and ellipticals 
 intermediate clustering amplitudes. Additionally\, for all LSBGs samples a
 t small angular separations\, we observe a significant flattening of the c
 orrelation function with respect to both high surface brightness galaxy me
 asurements and power-law models. This suggests that LSBGs distribution in 
 clusters differs from that of high surface brightness galaxies\, and that 
 there may exist environmental processes that prevent LSBGs from forming in
  cluster centres.\nOur results provide new constraints on the relationship
  between LSBG properties and their environments. Future surveys\, particul
 arly the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST
 )\, will help us study these relationships with substantially larger sampl
 es and greater statistical precision.\n\nhttps://events.ncbj.gov.pl/event/
 502/contributions/2256/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2256/
END:VEVENT
END:VCALENDAR
