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SUMMARY:Red disk-like galaxies in the large scale structure
DTSTART;VALUE=DATE-TIME:20261019T121500Z
DTEND;VALUE=DATE-TIME:20261019T123000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103432Z
UID:indico-contribution-433-2254@events.ncbj.gov.pl
DESCRIPTION:Speakers: Anna Durkalec (National Centre for Nuclear Research)
 \nSpiral galaxies are typically classified as star-forming\, which is asso
 ciated with their blue color. They are usually found in less dense regions
 . Their counterparts\, red elliptical galaxies\, which are usually passive
 \, are typically found in overdense regions. Red and disk-like galaxies\, 
 on the other hand\, are passive but retain a spiral disk structure. These 
 galaxies are relatively rare\, and their origin and place in the cosmic we
 b are still debated. Some researchers find that their clustering propertie
 s are similar to those of passive ellipticals\, while others find that the
 y prefer underdense regions.\n\nIn this talk\, we will present studies on 
 the nature and location of red disk-like galaxies in the cosmic web as obs
 erved in the VIPERS survey. Additionally\, we will examine their clusterin
 g properties and explore how they can be studied using upcoming LSST data.
 \n\nhttps://events.ncbj.gov.pl/event/502/contributions/2254/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2254/
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SUMMARY:Tracing the environments of low-surface-brightness galaxies
DTSTART;VALUE=DATE-TIME:20261019T124500Z
DTEND;VALUE=DATE-TIME:20261019T130000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103432Z
UID:indico-contribution-433-2256@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/
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SUMMARY:Low Surface Brightness galaxies in the early Rubin data
DTSTART;VALUE=DATE-TIME:20261019T123000Z
DTEND;VALUE=DATE-TIME:20261019T124500Z
DTSTAMP;VALUE=DATE-TIME:20261112T103432Z
UID:indico-contribution-433-2255@events.ncbj.gov.pl
DESCRIPTION:Speakers: Nandini Hazra (NCBJ Warsaw)\nThe standard pipeline a
 nd deblender for LSST use techniques that are not ideal to the characteriz
 ation of Low Surface Brightness galaxies and features. Of particular conce
 rn and interest to us\, are issues of shredding and improper centroiding f
 or LSB galaxies which leads to the standard pipeline catalogs becoming unr
 eliable when searching for these objects. The alternative of re-doing the 
 photometry across the LSST data release footprints in order to make them m
 ore LSB-friendly\, would be an extremely resource-intensive task which may
  not be accessible at present to the community. Which also makes it time a
 nd labour intensive to obtain an appropriate training set that can be used
  to calibrate machine learning techniques for LSB science. Through a combi
 ned use of additional operations on the LSST catalog products and the depl
 oyment of transfer learning techniques\, we are working to post-process th
 e standard catalogs from Data Preview 1 and 2 to identify and detect LSB g
 alaxy candidates. This would be an accessible alternative for most users o
 f the Rubin Science Platform and would allow us to start building a statis
 tical sample of LSB galaxies in the LSST footprint. If possible\, I look f
 orward to presenting my work which focuses on searching for and identifyin
 g LSB galaxies in the early data releases of Rubin (Data Preview 1 and 2).
 \n\nhttps://events.ncbj.gov.pl/event/502/contributions/2255/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2255/
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