Parallel Visualization of the Sloan Digital Sky Survey DR6
نویسندگان
چکیده
The new generation astronomy digital archives cover large area of the sky at fine resolution in many wavelengths from ultraviolet through optical and infrared. For instance, one of these projects the Sloan Digital Sky Survey is creating a detailed catalog covering more than a quarter of the sky with images measured with five different filters. The size of the data set can be measured in terabytes. These archives enable astronomers to explore the data for their research. However, virtually walking through these huge data sets also enables to visualize the beauty of the Universe and raises problems which can be interesting for people related to computer graphics. In this paper we present a technique for parallel visualization of large-scale scattered astrophysical data that has wide-spectrum photometric property. Our method performs sort-last parallel particle rendering using hierarchical, static data distribution; and its performance scales up linearly by increasing the number of the rendering nodes. It also enables setting the color matching function in the rendering phase and as well as altering the distance calculation formulae that calculates spatial coordinates from the redshift – all interactively.
منابع مشابه
A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data
We present and describe a catalog of galaxy photometric redshifts (photo-z’s) for the Sloan Digital Sky Survey (SDSS) Data Release 6 (DR6). We use the Artificial Neural Network (ANN) technique to calculate photo-z’s and the Nearest Neighbor Error (NNE) method to estimate photo-z errors for ∼ 77 million objects classified as galaxies in DR6 with r < 22. The photo-z and photo-z error estimators a...
متن کاملA Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
We present and describe a catalog of galaxy photometric redshifts (photo-z’s) for the Sloan Digital Sky Survey (SDSS) Data Release 6 (DR6). We use the Artificial Neural Network (ANN) technique to calculate photo-z’s and the Nearest Neighbor Error (NNE) method to estimate photo-z errors for ∼ 77 million objects classified as galaxies in DR6 with r < 22. The photo-z and photo-z error estimators a...
متن کاملDiscovery of Four New Lensing Systems by Clusters in the Sdss Dr6
We report the discovery of 4 new strong lensing systems by visual inspection of the Sloan Digital Sky Survey images of galaxy clusters in Data Release 6 (SDSS DR6). Two of them show Einstein rings, and the others show tangential giant arcs. These arcs or rings have large angle separations of > 8 from the bright central galaxies and show blue color compared to the red cluster galaxies. In additi...
متن کاملDiscovery of Strong Lensing Clusters in the Sdss Dr6
We discovered strong gravitational lensing in 4 galaxy clusters by visual inspection of the Sloan Digital Sky Survey images in Data Release 6 (SDSS DR6). Two of them show the Einstein rings, and the other two show tangential giant arcs. These arcs or rings have large angle separations of > 8 from the bright central galaxies. The lensed images in general are bluer than cluster member galaxies. T...
متن کاملGalaxy Clusters Identified from the Sdss Dr6 and Their Properties
Clusters of galaxies in most previous catalogs have redshifts z ≤ 0.3. Using the photometric redshifts of galaxies from the Sloan Digital Sky Survey Data Release 6 (SDSS DR6), we identify 39,716 clusters in the redshift range 0.05 < z < 0.6 with more than eight luminous (Mr ≤ −21) member galaxies. Cluster redshifts are estimated accurately with an uncertainty less than 0.022. The contamination ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of WSCG
دوره 16 شماره
صفحات -
تاریخ انتشار 2008