Документ взят из кэша поисковой машины. Адрес
оригинального документа
: http://www.adass.org/adass/proceedings/adass03/O6-4/O6-4.html
Дата изменения: Sat Aug 14 03:10:52 2004 Дата индексирования: Tue Oct 2 07:45:16 2012 Кодировка: |
Until recently, many astronomers regarded reducing radio astronomy data as an unnatural art. Yet pipelines and other user-friendly tools are now common. Most astronomers make some use of radio data such as in identifying galaxy types from the spectral energy distribution or probing obscured star-forming regions. Public access data are at last becoming accessible, albeit usually via the individual observatory web sites. The next step for VOs and data providers is to supply final data products from any registered archive via a single interface. The responses to our questionnaire to interferometry observatories show that pipelined data reduction up to the production of images is possible for fixed-element cm-wave telescopes such as
The data models and tools required are being developed in the context of setting international standards for VOs, to provide a basis for the next generation of interferometers. The IVOA hosts the radiovo@ivoa.net mailing list (open to anyone interested) and the radiovo archive.
Raw interferometry data consists of a series of complex visibilties
which need to be calibrated and Fourier transformed to produce an
image. A single observation
can produce a range of resolutions (obtained by weighting the data or
combining data from different arrays); minimum beam size and maximum
sensitivity to extended emission are mutually incompatible. Moreover,
the potential field of view is typically or
pixels. The best way to meet user requirements is to extract
tailor-made products on demand from calibrated visibility data. Even
so, the data volume and visualisation can be daunting, for example
multi-epoch 3D monitoring of SiO masers in 512 spectral channels, two
transitions and full polarization (Diamond & Kemball 2003). The product may not even be a image, but extracted
spectra, a radio light
curve of an X-ray binary, or the more specialised time
series required for pulsar astrophysics.
Calibrated visibility data is the prime product for some
applications such as gravitational lens modelling. It may be the only
product for interferometers with a
small number of elements such as in the optical and IR (see e.g. Monnier 2003).
The questionnaire identified a range of user requirements. Astronomers want a full data processing history but only a small minority want to do it themselves (however this possibility should always be open). Most astronomers want a final product, commonly but not exclusively an image. On-the-fly imaging will allow the full extent of archives to be used such as the MERLIN prototype (Fig. 1).
Interferometry is by definition a high-resolution science but two surveys covering substantial fractions of the sky, WENSS and NVSS are already available via their host observatories and Aladin. The first substantial multi-wavelength spectral data-cube survey to become accessible via Aladin will be the CGPS. The complementary and more traditional approach is to provide catalogues of pointings and source properties. Almost all open-access interferometers now provide on-line lists of observations. However there are two significant obstacles:
At present, the MERLIN archive can be accessed by three routes; the MERLIN web page, via Vizier/Aladin and via the prototype AstroGrid registry. VO searches and automatic updating (harvesting) will be implimented. This relies on accurate metadata consistent with global standards. An IVOA working group is developing a radio interferometry data model. It is likely that most data providers will need a specialised data model for internal use. This should provide parameters needed by a generalised model (such as IDHA or the SIAP and SSA protocols) for providing data for users. For example, the factors determining the field of view (integration time, channel width, primary beam etc.) may have observatory-specific names and algorithms but the VO just needs to know the availability and quality of data in a given region.
![]() |
Colina, L., Alberdi, A., Torrelles, J. M., Panagia, N., & Wilson, A. S. 2001, ApJ, 553, L19
Diamond, P. J. & Kemball, A. J. 2003, ApJ, 599, 1372
Monnier, J. D. 2003, Reports of Progress in Physics, 66, 789
Richards A. M. S., Garrington S. T. G., Reynolds C. & Allen M. G. 2003 in The Scientific Promise of the SKA, Oxford, 2002, ed. Kramer M. & Rawlings S. http://www.jb.man.ac.uk/ska/oxfordfull.pdf
Schwarz, J. 2004, this volume, 643
Scott, S. L. 2004, this volume, 768
Smirnov, O. 2004, this volume, 18