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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:20261112T103438Z
UID:indico-contribution-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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