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SUMMARY:Is the statistical analysis of Ultra Diffuse Galaxy possible with 
 LSST?
DTSTART;VALUE=DATE-TIME:20261020T080000Z
DTEND;VALUE=DATE-TIME:20261020T081500Z
DTSTAMP;VALUE=DATE-TIME:20261112T103436Z
UID:indico-contribution-436-2278@events.ncbj.gov.pl
DESCRIPTION:Speakers: Katarzyna Małek (NCBJ)\nLow surface brightness gala
 xies (LSBs) are estimated to make up around 50% of the total number densit
 y of galaxies in the local observable universe. However\, they contribute 
 less than 10% of the total luminosity\, making them challenging to detect.
  LSBGs are defined as having an average surface brightness greater than 23
  mag/sec2 in the r-band.  An even more extreme subtype of LSBGs are Ultra
  Diffuse Galaxies (UDGs) - a subtype of LSBGs that are even fainter and la
 rger. Will LSST provide the opportunity and tools for new statistical anal
 yses of these extremely shy objects? What kind of pipeline do we need to d
 evelop to analyze the first examples of LSBGs and UDGs? In my talk\, I wil
 l present the proof of concept for our analysis\, starting with classifica
 tion through flux measurements\, spectral energy distribution fitting and 
 environmental studies and addressing the need for spectroscopic follow-up.
 \n\nhttps://events.ncbj.gov.pl/event/502/contributions/2278/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2278/
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SUMMARY:Testing surface-brightness–colour relations as a dust attenuatio
 n proxy with LSST\, JWST and HST
DTSTART;VALUE=DATE-TIME:20261020T081500Z
DTEND;VALUE=DATE-TIME:20261020T083000Z
DTSTAMP;VALUE=DATE-TIME:20261112T103436Z
UID:indico-contribution-436-2259@events.ncbj.gov.pl
DESCRIPTION:Speakers: Maja Wiśniewska (Narodowe Centrum Badań Jądrowych
 )\nA reliable dust attenuation estimate can be obtained from spectral ener
 gy distributions (SEDs) constructed over a wide range of wavelengths\, inc
 luding the ultraviolet (UV) and infrared (IR) regions. It is necessary to 
 account for dust attenuation in order to reliably extract galaxy propertie
 s\, such as the star formation rate (SFR)\, stellar ages and evolutionary 
 state. The Legacy Survey of Space and Time (LSST) will provide optical obs
 ervations of billions of objects. This creates a need for a dust attenuati
 on proxy that uses optical data only. There have been proposals for such m
 ethods\, but they still require verification from independent tracers. Thi
 s requires comparing the attenuation estimated from optical data alone wit
 h a reference attenuation estimate derived from broad-wavelength SED fitti
 ng\, including UV and IR data from auxiliary surveys. In this study\, we i
 nvestigate whether surface brightness and colour can predict dust attenuat
 ion. In our analysis\, we  combine observations from the James Webb Space 
 Telescope and Hubble Space Telescope with LSST observations in the overlap
 ping fields\, such as GOODS-South and COSMOS-Web\, restricting the sample 
 to (z \\sim 0.3).\n\nhttps://events.ncbj.gov.pl/event/502/contributions/22
 59/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2259/
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SUMMARY:Small grains - big impact on the LSST discoveries?
DTSTART;VALUE=DATE-TIME:20261020T083000Z
DTEND;VALUE=DATE-TIME:20261020T084500Z
DTSTAMP;VALUE=DATE-TIME:20261112T103436Z
UID:indico-contribution-436-2258@events.ncbj.gov.pl
DESCRIPTION:Speakers: Patryk Matera (Narodowe Centrum Badań Jądrowych)\n
 The Vera C. Rubin Observatory is currently conducting the largest sky surv
 ey in human history: the LSST. It will observe the entire sky every three 
 days for ten years. It will collect astronomical amounts of data and obser
 ve nearly 20 billion galaxies. Despite these advantages\, LSST observation
 s will range from 338 to 1010 nm\, thus leaving us without infrared measur
 ements\, which are crucial for correctly estimating the physical propertie
 s of galaxies\, such as mass and star formation rate (SFR). This raises th
 e question: can we approximate dust attenuation using only six Rubin filte
 rs? In this talk\, I will attempt to answer this question.\n\nhttps://even
 ts.ncbj.gov.pl/event/502/contributions/2258/
LOCATION:
URL:https://events.ncbj.gov.pl/event/502/contributions/2258/
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