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Tools for Astronomical Big Data

Tools for Astronomical Big Data

Tucson, Arizona, March 9-11, 2015

Program

Invited speakers in bold.

Monday, March 9, 2015
8:00-9:00 Registration/Continental Breakfast
9:00-9:15 Introductory Remarks
9:15-9:45 Alyssa Goodman (Harvard) Wide Data vs. Big Data
9:45-10:15 Carlos Scheidegger (University of Arizona) How do you look at a billion data points? Exploratory Visualization for Big Data
10:15-11:00 Break
11:00-11:20 Joshua Peek (STScI) Machine Vision Methods for the Diffuse Universe
11:50-2:00 Lunch
2:00-2:20 Elisabeth Mills (NRAO) Visualization and Analysis of Rich Spectral-Line Datasets
2:20-2:40 Brian Bue (JPL) Leveraging Annotated Archival Data with Domain Adaptation to Improve Data Triage in Optical Astronomy
2:40-3:10 Erzsébet Merényi (Rice) Knowledge Discovery from the Hyperspectral Sky
3:10-3:40 Break
3:40-4:10 Tamas Budavari (JHU) Streaming Algorithms for Optimal Combination of Images and Catalogues
4:10-4:30 Viviana Acquaviva (CUNY NYC College of Technology) Two applications of machine learning to data from galaxy surveys
4:30-4:50 Fred Moolekamp (Rochester) Toyz for Data Analysis
4:50 Adjourn, dinner on your own.
Tuesday, March 10, 2015
8:00-9:00 Continental Breakfast
9:00-9:30 Gautham Narayan (NOAO) Hunting the Rarest of the Rare: From PS1 to LSSTFred
9:30=10:00 Sarah Loebman (Michigan) MyMergerTree: A Cloud Service for Creating and Analyzing Galactic Merger Trees
10:00-10:20 Alessandra Aloisi (STScI) Enhancing the Legacy of HST Spectroscopy in the Era of Big Data
10:20-11:00 Break
11:00-11:20 Bryan Gaensler (Toronto) Wide-Field Radio Astronomy and the Dynamic Universe
11:20-11:40 Matias Kind (UIUC/NCSA) Probabilistic photometric redshift in the era of petascale astronomy
11:40-12:00 Yusra AlSayyad (Washington) Case study: Classifying High Redshift Quasars on the LSST-Reprocessed SDSS Stripe 82 Imaging
12:00-2:00 Lunch
2:00-2:20 Felipe Barrientos (Pontificia Universidad Catolica de Chile) Photometric classification of QSOs from RCS2 using Random Forest
2:20-2:40 Benjamin Weiner (Steward Observatory) Challenges in producing and using large spectroscopic and photometric redshift datasets
2:40-3:00 Matthew Graham (NOAO/Caltech) Characterizing the variable sky with CRTS
3:00-3:30 Jacek Becla (SLAC) Enabling Scalable Data Analytics for LSST and Beyond through Qserv
3:30-4:10 Break
4:10-4:30 Iraklis Konstantopoulos (Australian Astronomical Observatory) Will Your Hypercubes Eat My Asterozoa? Building a Versatile Data Archive for the SAMI IFU Galaxy Survey.
4:30-4:50 Angelle Tanner (Mississippi State) The StArchive: An Open Stellar Archive
4:50 Adjourn, dinner on your own
Wednesday, March 11, 2015
8:00-9:00 Registration/Continental Breakfast
9:00-9:30 Benjamin Williams (Washington) Reducing Large Imaging Data Sets on the Amazon Elastic Compute Cloud
9:30-9:50 Bruce Berriman (IPAC, Caltech) Creating A Multiwavelength Galactic Plane Atlas With Amazon Web
9:50-10:10 Arvind Gopu (Indiana) Trident: Custom Scalable Scientific Compute Archive and Analysis
10:10-10:30 Ignacio Sevilla (CIEMAT) Handling the Dark Energy Survey
10:30-10:50 Roberto Munoz (Pontificia Universidad Catolica de Chile) Efficient data reduction and analysis of DECam images in a multicore server
10:50 Coffee and Adjourn
 
NOAO

Tools for Astronomical Big Data is sponsored by the National Optical Astronomy Observatory (NOAO). NOAO is operated by the Association of Universities for Research in Astronomy (AURA), Inc. under cooperative agreement with the National Science Foundation.

AURA, inc. NSF

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