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Breakthrough Astronomy and Astrophysics with SDSS and LSST, Lecture notes of Astrophysics
The use of SDSS and LSST in astronomy and astrophysics research at the University of Washington. SDSS is a major driver of research in the department and is ideal for engaging undergraduate and graduate students. Ongoing projects include solar system research, transient universe research, and galaxy formation and evolution. Two examples of SDSS-based science are mapping and exploring the Milky Way and studying the accretion disks of quasars. models and observations from SDSS and predictions for LSST.
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2021/2022
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Breakthrough Astronomy and Astrophysics
with SDSS and LSST
Zeljko Ivezi´^ ˇ c, UW Department of Astronomy
All-sky surveys at UW: SDSS and LSST
- Survey astronomy is one of two main strategic direc- tions at the UW Astronomy Department; with large- scale astrophysical numerical simulations, the depart- ment is a world leader in modern data-mining astron- omy and astrophysics
- UW played a leading role in SDSS construction, opera- tion and data analysis
- UW is playing a leading role in LSST, in part due to SDSS experience and strategic faculty hiring policy
- An LSST-funded Data Management and Image Simu- lation Team at Astronomy department includes three faculty, four postdocs, a software engineer and several graduate students
SDSS: one US Library of Congress worth of data
LSST: one SDSS per night, or
all the words ever printed!
Two examples of SDSS-based science
- Mapping and Exploring our Galaxy, the Milky Way: over the last three years involved over a dozen undergradu- ate students in this NSF-sponsored research, including publications (in addition to five graduate students)
- The Physics of Black Hole Growth: using variability of quasars to study their accretion disks: a project involving postdocs, graduate and undergraduate stu- dents: presentation by Keira Brooks
o
Dissecting the Milky Way
- Stellar Distribution, Kinematics and Chemical Composition can tell us how the Milky Way was formed and how it evolved
- The key is to map these quantities over a large volume (c.f. Lewis & Clark)
- Hard to obtain required data but with SDSS data now can do cutting edge re- search with undergraduate and graduate students virgoOverdensity.png (PNG Image, 804x841 pixels) - Scaled (92%) http://www.sdss.org/news/releases/virgoOverdensity.png
Left: Models Right: SDSS observations, and predictions for LSST