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    Cosmology and Astrophysics - SDSS     

The Sloan Digital Sky Survey (SDSS) is the largest spectroscopic survey ever undertaken. The SDSS will be the key datasource of cosmological structure for the next two decades. It combines optical imaging and spectroscopy, tracking nearby asteroids to distant quasars, using a 2.5m telescope located in New Mexico. Imaging data is obtained with a wide-field camera; the data are automatically processed and selected objects are targeted for spectroscopy. Depth information from galactic redshifts are used to make a 3-D map. The SDSS will have images from over 100 million objects, including more than a hundred thousand quasars, and spectra from a million galaxies. The second phase, SDSS-II, has began in fall 2005 with two additions to the original Legacy Survey. The Sloan Extension for Galactic Underpinning and Evolution (SEGUE) targets stars in the Galaxy, and the Sloan Supernova Survey observes supernovae at high redshift. LANL has been an SDSS associate member since 2001 and is a full member of SDSS-II.

Research areas pursued at LANL include the SEGUE Open Cluster Survey (SOCS) and studies of star formation. One of my major projects is the determination of cosmological parameters from the Lyman-alpha forest measured from 6,000 SDSS quasars at high redshift. Together with Salman Habib (T-8), Lam Hui (Columbia), Adam Lidz (Harvard), Michael Rauch (Carnegie), and Wallace Sargent (Caltech) we have developed a new approach to constrain the amplitude and slope of the mass power spectrum. This new approach, which is based on measuring the one-point probability distribution function, allows us to obtain tight constrains on cosmological parameters from the SDSS quasar spectra. The picture is in the upper left corner shows myself in the SDSS mirror.

Publications

  1. Tightening Constraints from the Ly-a Forest with the Flux Probability Distribution Function,
    A. Lidz, K. Heitmann, L. Hui, S. Habib, M. Rauch, and W. L. W. Sargent, ApJ in press, astro-ph/0505138
Related Links
  1. The Sloan Digital Sky Survey
  2. Sloan Computational Cosmology Porject


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