Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources

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dc.creatorNichol, R. C.
dc.creatorChong, S.
dc.creatorConnolly, A. J.
dc.creatorDavies, S.
dc.creatorGenovese, C.
dc.creatorHopkins, A. M.
dc.creatorMiller, C. J.
dc.creatorMoore, A. W.
dc.creatorPelleg, D.
dc.creatorRichards, G. T.
dc.creatorSchneider, J.
dc.creatorSzapudi, I.
dc.creatorWasserman, L.
dc.date2001-10-09
dc.date.accessioned2026-07-25T11:38:39Z
dc.descriptionI present here a review of past and present multi-disciplinary research of the Pittsburgh Computational AstroStatistics (PiCA) group. This group is dedicated to developing fast and efficient statistical algorithms for analysing huge astronomical data sources. I begin with a short review of multi-resolutional kd-trees which are the building blocks for many of our algorithms. For example, quick range queries and fast n-point correlation functions. I will present new results from the use of Mixture Models (Connolly et al. 2000) in density estimation of multi-color data from the Sloan Digital Sky Survey (SDSS). Specifically, the selection of quasars and the automated identification of X-ray sources. I will also present a brief overview of the False Discovery Rate (FDR) procedure (Miller et al. 2001a) and show how it has been used in the detection of ``Baryon Wiggles'' in the local galaxy power spectrum and source identification in radio data. Finally, I will look forward to new research on an automated Bayes Network anomaly detector and the possible use of the Locally Linear Embedding algorithm (LLE; Roweis & Saul 2000) for spectral classification of SDSS spectra.
dc.descriptionInvited talk at "Statistical Challenges in Modern Astronomy III" July 18-21 2001. 9 pages
dc.identifierhttps://arxiv.org/abs/astro-ph/0110230
dc.identifierhttp://arxiv.org/abs/astro-ph/0110230
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/4370
dc.subjectAstrophysics
dc.titleComputational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources
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