Astro Data Lab Tutorial May 2018 - Data Lab 2.0
First Announcement
In this era of data-intensive research, the astronomy community needs to acquire skills to handle increasingly larger data sets, and to gain access to high-performance computing and analysis tools. The Astro Data Lab has been developing a science platform, now hosting new datasets (Gaia DR2, all-sky NOIRLab Source Catalog, Legacy Survey DR 5/6, etc.) and making new tools available to users.
This in-person tutorial will include an overview of Data Lab services and live, "follow-along" demonstrations during a 3-hour session. Seating will be limited to ensure adequate support to tutorial participants. Two separate sessions will take place to accommodate a range of experience with Python and SQL, as described below.
Registration for 2018 tutorial closed
Learn How To:
- Explore the astronomical catalogs available at Data Lab
- Use the Data Lab Jupyter Notebook server
- Submit a database query to the Data Lab
- Use the Data Lab virtual storage system
- Get image cutouts for a set of objects
- Automate workflows
Example science cases
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Explore the Gaia DR2 dataset
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Star/galaxy/QSO classification
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Discover faint Milky Way dwarf galaxies
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Identify RR Lyrae candidates
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Probe large-scale structure in DECaLS and SDSS/BOSS surveys
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Session 1: Tuesday May 29 @1-4pm: No/little experience with Python and SQL
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Session 2: Wednesday May 30 @9:00-noon: Some experience with Python or SQL
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Basic Intro (optional): Tuesday May 29 @9-11am
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Hack Together (optional): Wednesday May 30 @1-5pm
Mark your calendars!
Registration deadline: May 22, 2018
Tutorial date: May 29-30, 2018
Location: NOIRLab Main Conference Room
Questions? Contact us at: datalab@noirlab.edu.
