The NOAO Data Lab - A science platform for the entire astronomical community

High-Energy Seminar

  • Datum: 11.09.2018
  • Uhrzeit: 10:00 - 12:00
  • Vortragende(r): Robert Nikutta (NOAO Data Lab)
  • Ort: MPE
  • Raum: New Seminar Room, 1.1.18b
  • Gastgeber: MPE
The NOAO Data Lab - A science platform for the entire astronomical community
Abstract: Data Lab (http://datalab.noao.edu) is NOAO's new science exploration platform. It provides open access to large-scale survey data (e.g. DES and Legacy Surveys), images and spectra acquired on NOAO facilities, and allows users to share and publish their own data with collaborators or the wider community. Data Lab furnishes users with compute resources, virtual storage (1 TB disk and 250 GB database, per-user) and interfaces to assist in data analysis, filtering, processing and visualization. Additionally, access to local copies of high-value reference data (Gaia, AllWISE, SDSS, etc.) as well as external data resources provides an integrated environment that is a great one-stop-shop for anyone interested in large scale survey science, and especially for researchers seeking readiness for LSST now. I will first introduce the Data Lab ecosystem, its functionalities, and database holdings, including some datasets with many epochs of measurements for time-domain science, such as the new NOAO Source Catalog. Then, in a hands-on / demo session participants can try Data Lab for themselves by working on their personal computers through several specific science examples, ranging from the detection of Milky Way dwarf satellites to extracting light curves of variable objects. This will hopefully inspire participants to bring their own big-data science questions to an integrated science platform such as Data Lab. Anytime prior to the hands-on session participants should register for Data Lab accounts (free) at https://datalab.noao.edu/ (click on "Sign Up") We only ask the name, email and affiliation. There is no need to install anything on your personal computer, as we will do everything in our integrated Jupyter notebook environment.


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