Astro Data Lab Tutorial
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 is developing a platform to host premier datasets and science tools. In advance of the Data Lab public release in June, we will be hosting a half-day tutorial open to astronomy researchers of all levels from graduate students to staff/faculty.
This in-person tutorial will include an overview of Data Lab services, live demonstrations, and hands-on hacking during a half-day (3.5 hour) session. Seating will be limited to ensure adequate support to tutorial participants. We will welcome your impressions and feedback as the first Data Lab users!
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
Visualize the SMASH Survey
Star/galaxy/QSO classification
Discover faint Milky Way dwarf galaxies
Identify RR Lyrae candidates
Probe large-scale structure in DECaLS and SDSS/BOSS surveys
Your laptop with an internet browser
Power cable if your laptop’s battery life is shorter than 3.5h
That’s all (no need to install any software)!
No prior experience required, everyone is welcome!
The live demos and hacking will be partially based on Jupyter notebooks. While no prior experience is necessary, we recommend that participants read a short overview with optional more in-depth reading (Useful Links).
Mark your calendars!
Registration deadline: April 24, 2017
Tutorial date: May 8, 2017
Location: NOIRLab Main Conference Room
Questions? Contact us at: datalab@noirlab.edu
Jupyter Notebook Basics
Project Jupyter
Python Introduction
ADQL Tutorial
SQL Tutorial (exercise 0-8)
Visual Representation of SQL Joins
This in-person tutorial will include an overview of Data Lab services, live demonstrations, and hands-on hacking during a half-day (3.5 hour) session. Seating will be limited to ensure adequate support to tutorial participants. We will welcome your impressions and feedback as the first Data Lab users!
Registration for 2017 tutorial closed
Learn How To:
Example science cases
What you will need:
No prior experience required, everyone is welcome!
The live demos and hacking will be partially based on Jupyter notebooks. While no prior experience is necessary, we recommend that participants read a short overview with optional more in-depth reading (Useful Links).
Mark your calendars!
Registration deadline: April 24, 2017
Tutorial date: May 8, 2017
Location: NOIRLab Main Conference Room
Questions? Contact us at: datalab@noirlab.edu
