496 research outputs found
Exploring the Time Domain With Synoptic Sky Surveys
Synoptic sky surveys are becoming the largest data generators in astronomy,
and they are opening a new research frontier, that touches essentially every
field of astronomy. Opening of the time domain to a systematic exploration will
strengthen our understanding of a number of interesting known phenomena, and
may lead to the discoveries of as yet unknown ones. We describe some lessons
learned over the past decade, and offer some ideas that may guide strategic
considerations in planning and execution of the future synoptic sky surveys.Comment: Invited talk, to appear in proc. IAU SYmp. 285, "New Horizons in Time
Domain Astronomy", eds. E. Griffin et al., Cambridge Univ. Press (2012).
Latex file, 6 pages, style files include
Using R-based VOStat as a low resolution spectrum analysis tool
We describe here an online software suite VOStat written mainly for the Virtual Observatory, a novel structure in which astronomers share terabyte scale data. Written mostly in the public-domain statistical computing language and environment R, it can do a variety of statistical analysis on multidimensional, multi-epoch data with errors.
Included are techniques which allow astronomers to start with multi-color data in the form of low-resolution spectra and select special kinds of sources in a variety of ways including color outliers. Here we describe the tool and demonstrate it with an example from Palomar-QUEST, a synoptic sky survey
Topic Maps as a Virtual Observatory tool
One major component of the VO will be catalogs measuring gigabytes and
terrabytes if not more. Some mechanism like XML will be used for structuring
the information. However, such mechanisms are not good for information
retrieval on their own. For retrieval we use queries. Topic Maps that have
started becoming popular recently are excellent for segregating information
that results from a query. A Topic Map is a structured network of hyperlinks
above an information pool. Different Topic Maps can form different layers above
the same information pool and provide us with different views of it. This
facilitates in being able to ask exact questions, aiding us in looking for gold
needles in the proverbial haystack. Here we discuss the specifics of what Topic
Maps are and how they can be implemented within the VO framework.
URL: http://www.astro.caltech.edu/~aam/science/topicmaps/Comment: 11 pages, 5 eps figures, to appear in SPIE Annual Meeting 2001
proceedings (Astronomical Data Analysis), uses spie.st
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys
We describe the development of a system for an automated, iterative,
real-time classification of transient events discovered in synoptic sky
surveys. The system under development incorporates a number of Machine Learning
techniques, mostly using Bayesian approaches, due to the sparse nature,
heterogeneity, and variable incompleteness of the available data. The
classifications are improved iteratively as the new measurements are obtained.
One novel feature is the development of an automated follow-up recommendation
engine, that suggest those measurements that would be the most advantageous in
terms of resolving classification ambiguities and/or characterization of the
astrophysically most interesting objects, given a set of available follow-up
assets and their cost functions. This illustrates the symbiotic relationship of
astronomy and applied computer science through the emerging discipline of
AstroInformatics.Comment: Invited paper, 15 pages, to appear in Statistical Analysis and Data
Mining (ASA journal), ref. proc. CIDU 2011 conf., eds. A. Srivasatva & N.
Chawla, in press (2011
Some Pattern Recognition Challenges in Data-Intensive Astronomy
We review some of the recent developments and challenges posed by the data
analysis in modern digital sky surveys, which are representative of the
information-rich astronomy in the context of Virtual Observatory. Illustrative
examples include the problems of an automated star-galaxy classification in
complex and heterogeneous panoramic imaging data sets, and an automated,
iterative, dynamical classification of transient events detected in synoptic
sky surveys. These problems offer good opportunities for productive
collaborations between astronomers and applied computer scientists and
statisticians, and are representative of the kind of challenges now present in
all data-intensive fields. We discuss briefly some emergent types of scalable
scientific data analysis systems with a broad applicability.Comment: 8 pages, compressed pdf file, figures downgraded in quality in order
to match the arXiv size limi
First case of strong gravitational lensing by a QSO : SDSS J0013+1523 at z = 0.120
We present the first case of strong gravitational lensing by a QSO : SDSS
J0013+1523, at z = 0.120. The discovery is the result of a systematic search
for emission lines redshifted behind QSOs, among 22298 spectra of the SDSS data
release 7. Apart from the z = 0.120 spectral features of the foreground QSO,
the spectrum of SDSS J0013+1523 also displays the OII and Hbeta emission lines
and the OIII doublet, all at the same redshift, z = 0.640. Using sharp Keck
adaptive optics K-band images obtained using laser guide stars, we unveil two
objects within a radius of 2 arcsec from the QSO. Deep Keck optical
spectroscopy clearly confirms one of these objects at z = 0.640 and shows
traces of the OIII, emission line of the second object, also at z = 0.640. Lens
modeling suggests that they represent two images of the same z = 0.640
emission-line galaxy. Our Keck spectra also allow us to measure the redshift of
an intervening galaxy at z = 0.394, located 3.2 arcsec away from the line of
sight to the QSO. If the z = 0.120 QSO host galaxy is modeled as a singular
isothermal sphere, its mass within the Einstein radius is M_E(r < 1 kpc) =
2.16e10 M_Sun and its velocity dispersion is sigma_SIS = 169 km/s. This is
about 1 sigma away from the velocity dispersion estimated from the width of the
QSO Hbeta emission line, sigma_*(M_BH) = 124 +/- 47 km/s. Deep optical HST
imaging will be necessary to constrain the total radial mass profile of the QSO
host galaxy using the detailed shape of the lensed source. This first case of a
QSO acting as a strong lens on a more distant object opens new directions in
the study of QSO host galaxies.Comment: 6 pages, 5 figures, accepted for publication in A&A Letters. Added
new Keck spectroscop
- …