Set to launch in phases over the next four years, SciServer will deliver significant benefits to the scientific community by extending the infrastructure developed for SDSS astronomy data to many other areas of science. Led by Szalay, the team began work on SciServer in 2013 with funding from NSF's Data Infrastructure Building Blocks program. The SciServer team has spent the last two decades addressing these problems, first in astronomy and then in other areas of science.įrom SkyServer to SciServer: the new approach The result is that scientists work inefficiently and miss chances to grow their research projects in new directions.Ī variety of projects have developed approaches to preserving and managing datasets, but providing easy access so all researchers can compare, analyze and share them remains a problem. Yet another challenge is unequal access to data and expertise among researchers.Įven when individual datasets are well-preserved, the difficulty of combining data for joint analysis means that researchers miss opportunities for new insights. Another challenge is that most datasets are stored in an ad hoc manner with insufficient metadata for describing how the data should be interpreted and used. One major challenge in managing and extracting value from Big Data is simply preserving the data as file formats change and scientists retire. With each new tool, the community of users grew, leading to more and more scientific discoveries. To allow users-scientists, citizen scientists, students-to run longer-term analyses of the Sloan data, they created CasJobs, an online workbench where registered users can run queries for up to eight hours and store results in a personal "MyDB" database for later analysis. The site also includes classroom-ready educational activities that allow students to learn science using cutting-edge data. For instance, using the SkyServer website, anyone with a web browser can navigate through the sky, getting detailed information about stars or searching for objects using multiple criteria. The Johns Hopkins team created several online tools for accessing SDSS data. Today, the SDSS data exceeds 70 terabytes, covering more than 220 million galaxies and 260 million stars." "Within five years after SDSS began, we had nearly 200 million galaxies in our database. "When the SDSS began in 1998, astronomers had data for less than 200,000 galaxies," said Ani Thakar, an astronomer at Johns Hopkins who is part of the SciServer team. SciServer grew out of work with the Sloan Digital Sky Survey (SDSS), an ambitious, ongoing project to map the entire universe. SciServer's heritage: Big Data in astronomy "By building a common infrastructure, we can create data access and analysis tools useful to all areas of science."
Sdss astrometry online archive#
"SciServer will help meet the challenges of Big Data," said Alex Szalay of Johns Hopkins University, the principal investigator of the five-year NSF-funded project and the architect for the Science Archive of the Sloan Digital Sky Survey. As datasets grow exponentially, so do the problems and costs associated with accessing, reading, sharing and processing them.Ī new project called SciServer, supported by the National Science Foundation (NSF), aims to build a long-term, flexible ecosystem to provide access to the enormous data sets from observations and simulation. Every year, scientists in every field, from astronomy to zoology, make tremendous leaps in their ability to generate valuable data.īut all of this information comes at a price. We also used the redshift of G to predict the time delay between quasar images (43 +/- 5 d, A is leading).Big Data comes naturally to science. (5) We reconstructed the lensing mass from the new observational constraints on the relative astrometry. The observed inicrotensing chromaticity coincides with a sharp drop in the r-hand flux of B.
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with larger amplifications at shorter wavelengths. This mu(BA) indicates that B is amplified (relative to A) by a factor of about 3-5. (4) The continuum flux ratio was appropriately corrected to obtain the microiensing magnification ratio of the continuum mu(BA). They were used to constrain the macrolens flux ratio M-BA and dust extinction parameters. (3) We determined the flux ratio Bit for the cores of the emission lines in the two quasar spectra. (2) The spectrum of G is typical for early type galaxies, and we measured its redshift (0.609 +/- 0.001) for the first time. is separated by similar to 50 degrees from the previously determined value. as well as structure parameters for the light distribution of G. Our observations led to the following main results: (1) We obtained new accurate positions for B and G (relative to A). This consists of two images of a lensed quasar.
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We present deep I-band imaging (NOT-ALFOSC) and spectroscopic (GTC-OSIRIS) observations of the gravitational lens system SDSS 31339+1310.