5 research outputs found
The VO-Neural project: recent developments and some applications
VO-Neural is the natural evolution of the Astroneural project which was
started in 1994 with the aim to implement a suite of neural tools for data
mining in astronomical massive data sets. At a difference with its ancestor,
which was implemented under Matlab, VO-Neural is written in C++, object
oriented, and it is specifically tailored to work in distributed computing
architectures. We discuss the current status of implementation of VO-Neural,
present an application to the classification of Active Galactic Nuclei, and
outline the ongoing work to improve the functionalities of the package.Comment: Contributed, Data Centre Alliance Workshops: GRID and the Virtual
Observatory, April 9-11 Munich, to appear in Mem. SAI
A web application for photometric redshift estimation
In the era of massive astronomical datasets, efficient identification of candidate
quasars and the reconstruction of their three dimensional
distribution in the Universe is a key
requirement for constraining some of the main
issues regarding the formation and evolution of
QSOs. A method for the determination of photometric
redshifts of QSOs based on multiwavelength
photometry and on a combination of data
mining techniques will be discussed. This procedure,
specifically suited for accompanying the candidate
selection method discussed in (D’Abrusco
et al. 2008), makes use of specific tools developed
under the EuroVO and NVO frameworks for data
gathering, pre-processing and mining, while relying
on the scaling capabilities of the computing
grid. This method allowed us to obtain photometric
redshifts with an increased accuracy (up to 30%)
with respect to the literature
The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community
Astronomical data are gathered through a very large number of heterogeneous
techniques and stored in very diversified and often incompatible data
repositories. Moreover in the e-science environment, it is needed to integrate
services across distributed, heterogeneous, dynamic "virtual organizations"
formed by different resources within a single enterprise and/or external
resource sharing and service provider relationships. The DAME/VONeural project,
run jointly by the University Federico II, INAF (National Institute of
Astrophysics) Astronomical Observatories of Napoli and the California Institute
of Technology, aims at creating a single, sustainable, distributed
e-infrastructure for data mining and exploration in massive data sets, to be
offered to the astronomical (but not only) community as a web application. The
framework makes use of distributed computing environments (e.g. S.Co.P.E.) and
matches the international IVOA standards and requirements. The integration
process is technically challenging due to the need of achieving a specific
quality of service when running on top of different native platforms. In these
terms, the result of the DAME/VO-Neural project effort will be a
service-oriented architecture, obtained by using appropriate standards and
incorporating Grid paradigms and restful Web services frameworks where needed,
that will have as main target the integration of interdisciplinary distributed
systems within and across organizational domains.Comment: 10 pages, Proceedings of the Final Workshop of the Grid Projects of
the Italian National Operational Programme 2000-2006 Call 1575; Edited by
Cometa Consortium, 2009, ISBN: 978-88-95892-02-
The VO-Neural project: recent developments and applications
Outline of the work performed in the framework of the VO-TECH european project