'Sloan digital sky survey' diaporamas de présentation

Fast N-Body Algorithms for Massive Datasets

Fast N-Body Algorithms for Massive Datasets. Alexander Gray Georgia Institute of Technology. Is science in 2007 different from science in 1907?. Instruments. [ Science , Szalay & J. Gray, 2001]. Is science in 2007 different from science in 1907?. Instruments. Data: CMB Maps.

1.67k views • 143 slides

Title

Title Space Weathering on Main Belt Asteroids Robert Jedicke - Institute for Astronomy David Nesvorny - Southwest Research Institute Jedicke Nature Paper Jedicke et al. (2004) Nature 429 (6989), 275-277. Nesvorny Icarus Paper submitted to Icarus The S-Complex Conundrum

1.22k views • 71 slides

Chapter 23 Probabilistic Language Processing

777 views • 62 slides

Petascale Data Intensive Computing

Petascale Data Intensive Computing. Alex Szalay The Johns Hopkins University. Living in an Exponential World. Scientific data doubles every year caused by successive generations of inexpensive sensors + exponentially faster computing Changes the nature of scientific computing

661 views • 52 slides

Making the Sky Searchable: Fast Geometric Hashing for Automated Astrometry

Making the Sky Searchable: Fast Geometric Hashing for Automated Astrometry. Sam Roweis, Dustin Lang & Keir Mierle University of Toronto David Hogg & Michael Blanton New York University. Basic Problem. I show you a picture of the night sky. You tell me where on the sky it came from. ?.

626 views • 50 slides

Efficient Algorithms for Non-Parametric Clustering With Clutter

Efficient Algorithms for Non-Parametric Clustering With Clutter. Weng-Keen Wong Andrew Moore. Problems From the Physical Sciences. Minefield detection (Dasgupta and Raftery 1998). Earthquake faults (Byers and Raftery 1998). Problems From the Physical Sciences. (Pereira 2002).

625 views • 48 slides

The Data Deluge and the Grid

The Data Deluge and the Grid. The Data Deluge The Large Hadron Collider The LHC Data Challenge The Grid Grid Applications GridPP Conclusion. Steve Lloyd Queen Mary University of London s.l.lloyd@qmul.ac.uk. The Data Deluge.

588 views • 44 slides

Algorithms for Distributed Supervised and Unsupervised Learning

Algorithms for Distributed Supervised and Unsupervised Learning. Haimonti Dutta The Center for Computational Learning Systems (CCLS) Columbia University, New York. About ME. BCSE from Jadavpur University, Kolkata MS from Temple University, PA

548 views • 38 slides

Minor Bits of the Solar System

Minor Bits of the Solar System. Asteroids, Comets and Meteoroids & Extrasolar Planets too!. Nucleus of Comet Wild2. ASTEROIDS: aka, Minor Planets. Smaller than planets, but many similarities

774 views • 37 slides

Complementary Probes of Dark Energy

487 views • 37 slides

Query, Analysis, and Visualization of Hierarchically Structured Data using Polaris

558 views • 35 slides

Sergei Shandarin

Quantitaive Morphology of the Cosmic Web. Sergei Shandarin. University of Kansas Lawrence. Outline. Introduction: What is Cosmic Web? Physics of structure formation Field statistics vs. Object statistics Shapes of superclusters and voids, percolation, genus Minkowski functionals

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Great Surveys: Spectral and Temporal Frontiers

Great Surveys: Spectral and Temporal Frontiers Adam Aaardvark-Zulkarni, Department of Astronomy or Adam Zulkarni-Aardvark, Department of Physics, California Institute of Technology Some Well known Adages

561 views • 29 slides

(Rare) Category Detection Using Hierarchical Mean Shift

(Rare) Category Detection Using Hierarchical Mean Shift. Pavan Vatturi (vatturi@eecs.oregonstate.edu) Weng-Keen Wong (wong@eecs.oregonstate.edu). 1. Introduction. Applications for surveillance, monitoring, scientific discovery and data cleaning require anomaly detection

458 views • 29 slides

Strategies for Processing Ad Hoc Queries on Large Data Warehouses

Strategies for Processing Ad Hoc Queries on Large Data Warehouses. Kurt Stockinger CERN John Wu & Arie Shoshani Lawrence Berkeley National Lab. Outline. Motivation for designing our own software Many large scientific data warehouses need to process ad hoc queries Lack of efficient indices

817 views • 24 slides

Strategies for Processing Ad Hoc Queries on Large Data Warehouses

Strategies for Processing Ad Hoc Queries on Large Data Warehouses. Presented by Fan Wu Instructor: Prof. Elke Rundensteiner April 8, 2004. Outline. Motivation for designing software Many large scientific data warehouses need to process ad hoc queries Lack of efficient indices

442 views • 24 slides

Microsoft Technical Computing Modeling the world with greater fidelity

284 views • 16 slides

D ata I ntensive C loud C omputing

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403 views • 12 slides

Improvement of Moderate Redshift Quasar Surveys Utilizing Infrared and Optical Data

Improvement of Moderate Redshift Quasar Surveys Utilizing Infrared and Optical Data. Ashley Stewart, Shelly Bursick, Julia Kennefick University of Arkansas S.George Djorgovski, Eilat Glikman Caltech. Introduction: What is a Quasar ? Bright centers of active galaxies.

216 views • 1 slides