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BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20201201T123000
DTEND;TZID=Atlantic/Canary:20201201T133000
UID:iactalks-1424
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/1424
CREATED:2020-12-01T12:30:00+00:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:SHARKS: More than 20 million near-infrared sources across cosmic ti
 me
DESCRIPTION:SHARKS: More than 20 million near-infrared sources across cosmi
 c time\nDr. Aurelio Carnero\n\nIAC leads the extragalactic ESO Public Surv
 ey SHARKS (Southern H-ATLAS Regions Ks band Survey; PI: H. Dannerbauer). W
 e survey with the ESO 4m telescope VISTA and the near-infrared camera VIRC
 AM more than 300 square degrees at 2micron with the near-infrared filter K
 s, reaching a depth of Ks~22.7 (AB) with 1200 hours of observations. The c
 overed fields have been previously observed with the infrared space telesc
 ope Herschel. Optical coverage already exists from the Dark Energy  S
 urvey and the Hyper Suprime-Cam Subaru Strategic Program. In the future, t
 hese fields will be observed with the SKA-precursor ASKAP, EUCLID, LSST an
 d eROSITA. Thus due to its exquisite multi-wavelength coverage, this datas
 et has a huge legacy value. The principal aims of the survey are: i) to se
 arch for counterparts of infrared and radio-selected sources, ii) to study
  the evolution of the most massive structures in the Universe and iii) to 
 produce a sample of a thousand strong lenses for cosmography studies. None
 theless, given its sensitivity and wide-area coverage in the near-infrared
 , it represents an excellent data-set for a wide range of astrophysical st
 udies beyond their initial objectives, including the study of ultracool dw
 arfs in the Milky Way and high-redshift quasars. Currently, we are prepari
 ng the first public data release (DR1) of SHARKS at ESO. In this talk I wi
 ll introduce the science that can be done with SHARKS. Finally, I will pre
 sent the current status of the project, including a first look up at the D
 R1, and try to encourage the community to exploit this outstanding dataset
 .\n
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