BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ZContent.net//ZapCalLib 1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20170714T123000
DTEND;TZID=Atlantic/Canary:20170714T133000
UID:iactalks-1059
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/1059
CREATED:2017-07-14T12:30:00+01:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:Using big data to understand galaxies in our neighborhood
DESCRIPTION:Using big data to understand galaxies in our neighborhood\nProf
 . David Nidever\n\n\nHow galaxies form and evolve remains one of the corne
 rstone questions in our understanding of the universe on grand scales
 .  While much progress has been made by studying galaxy populati
 ons out to high redshifts, there is also much to be learned from near
 -field cosmology ? that is, investigating nearby galaxies in detail u
 sing observations of resolved stars.  I will highlight some rece
 nt results from several projects that are providing new insights into
  the structure and formation history of the Milky Way and the Magella
 nic Clouds.  First, I will discuss how I am mapping the stellar 
 halos of the Milky Way and the Magellanic Clouds and thereby uncoveri
 ng clues to their hierarchical buildup.  Second, I will summariz
 e results from the APOGEE survey that, in combination with high-resol
 ution simulations, are revealing the chemical structure, evolution an
 d dynamical history of the Milky Way disk.  I will end with a brief&n
 bsp;summary of my recent work with the NOAO Data Lab to create an all-sky&
 nbsp;catalog of NOAO archive images (the NOAO Source Catalog or NSC).
END:VEVENT
END:VCALENDAR