A5084051003- Advanced Statistical Methods and Models
- Spectroscopy and Chemometric Analyses
- Galaxies: Formation, Evolution, Phenomena
- NMR spectroscopy and applications
- Astronomy and Astrophysical Research
- Statistical Methods and Applications
- Gamma-ray bursts and supernovae
- Material Dynamics and Properties
- Theoretical and Computational Physics
- Impact of Light on Environment and Health
- Advanced Thermodynamics and Statistical Mechanics
- Clay minerals and soil interactions
- Astronomical Observations and Instrumentation
- Fractal and DNA sequence analysis
- Stellar, planetary, and galactic studies
- Zeolite Catalysis and Synthesis
- Remote Sensing in Agriculture
Carnegie Mellon University
2003-2006
National Energy Technology Laboratory
2005
We present a catalog of 100,563 unresolved, UV-excess (UVX) quasar candidates to g=21 from 2099 deg^2 the Sloan Digital Sky Survey (SDSS) Data Release One (DR1) imaging data. Existing spectra 22,737 sources reveals that 22,191 (97.6%) are quasars; accounting for magnitude dependence this efficiency, we estimate 95,502 (95.0%) objects in quasars. Such high efficiency is unprecedented broad-band surveys This ``proof-of-concept'' sample designed be maximally efficient, but still has 94.7% completeness g
Abstract We investigated the evolution of fractions late-type cluster galaxies as a function redshift using one largest, most uniform samples available. The sample consisted 514 clusters in range $0.02 \leq z\leq 0.3$ from Sloan Digital Sky Survey “Cut and Enhance” galaxy catalog. This catalog was created single automated cluster-finding algorithm applied to data telescope, with accurate CCD photometry, thus minimizing selection biases. used four independent methods analyze fraction....
I present here a review of past and multi-disciplinary research the Pittsburgh Computational AstroStatistics (PiCA) group. This group is dedicated to developing fast efficient statistical algorithms for analysing huge astronomical data sources. begin with short multi-resolutional kd-trees which are building blocks many our algorithms. For example, quick range queries n-point correlation functions. will new results from use Mixture Models (Connolly et al. 2000) in density estimation...