Data: 07.12.2016

Palestrante: Dr. Mario Juric (University of Washington/LSST)

Link: https://youtu.be/5TSqScVn5T4

Resumo: The LSST will deliver two primary classes of data products: the near-real time stream of alerts to changes in the sky (so called “Level 1” products), and the annual, systematics limited, reprocessing of the entire data sets (so called “Level 2” products, the “Data Releases”). The scale of both of these products, but especially Level 2 (~few petabytes), will stress the ability of the users to download and analyze on their laptop. The LSST is therefore building a system to make it possible to perform some of the visualization and data analysis remotely. This environment, currently envisioned to be based on well known tools such as JupyterHub, will enable users to engage in interactive analysis (or run their analysis codes) at the LSST data center. Through it, the users will have access to fast database space, file storage, as well as a medium-scale computing cluster. In this talk, I will discuss our plans for such an environment — a “data space” in which research with LSST data could be performed, and added value (“Level 3”) data products created.