Handling data cubes in VO
Malte.Marquarding at csiro.au
Malte.Marquarding at csiro.au
Fri Dec 16 05:24:49 PST 2005
Hi all,
And there is always RVS, which handles n-dim cubes, with reordering axes,
profile plotting etc.
People have used it to view 1.8GB cubes which are based in Australia and were
viewed in the US.
We are doing some tweaking to some of the initial functions to spedd up
loading, but currently to view the cube initially it tkaes about 1.5min to
load. I am working on an optimisation to get this down to about 45sec.
Well you can use it or leave it, but tools exist.
RVS idevelopment is currently frozen as there is no VO funding in Australia
for these purposes, we hope to continue development through GRID funding.
Cheers,
Malte.
ps http://www.vo.atnf.csiro.au
On Thursday 15 December 2005 22:02, Anita Richards wrote:
> Dear Doug et al.,
>
> This is very good news, that progress is being made. I have copied this
> (see below for original message)
> to several people in RadioNet and elsewhere interested in 3-D data access
> (so apols if you get this twice).
>
> I do have a few comments (which relate to some of Doug's notes):
>
> * In the near future the MERLIN archive may contain datacubes.
>
> * Dimensions:
>
> a)
> Depending on the instrument, even for RA-Dec-wavelength-related cubes, the
> 3rd axis is only linear in the correct units and the correct convention
> (as expanded at great length by Greisen et al.2003ASPC..295..403G)
>
> b)
> At some point we are going to want to extend the model to other
> combinations - transposed cubes, cubes with time as the 3rd axis, cubes
> with completely non-linear sampling (e.g. continuum images at 1.4, 1.6, 5,
> 7, 22 GHz...), the polarization example given etc.
>
> c)
> There are also 4+D datasets (e.g. the standard MERLIN image has 4 axes -
> RA, Dec, Freq, Stokes).
>
> If our first model is aimed at case a) only, we should not make it
> impossible to extend to b) and c) later (and other cases e.g non-image
> data...)
>
> * I have downloaded fits files of several Gb from various places in
> Europe, to JBO, and also transfered data cubes to/from Mexico. Hence it
> is not unfeasible to have VO access to cubes.
>
> * I do agree, however, that it is very desirable to offer services which
> produce diagnostic plots and offer cut-outs (selected by the user on the
> basis of the diagnostics) (or even more sophisticated tools), at the data
> centre - this could be achieved by a combination of the current JIVE and
> MERLIN software/prototypes for some data, for example.
>
> * 2D visualisation can be useful for some data - my experience is mainly
> with masers and HI absorption - interferometry data - e.g. the spectrum
> from the visibilities or the cube; the moments of the cube... sometimes
> these are indeed not useful, usually because of a few channels being
> dynamic range limited or background continuum or lack of resolution in one
> dimension - but we need sufficient variety of use cases to cover the
> commonest cubes likely to be available in the near future.
>
> Other points:
>
> + There is a prototype Aladin which allows selection and visualisation of
> a cube using a slider - very neat!
>
> + A python-based scripting language, parseltongue, is being developed by
> RadioNet (cf van Langevelde talk and Kettenis poster at ADASS) and I ahve
> used this to write a layer between AstroGrid and AIPS which extracts
> images from uv data on demand. This was amazingly easy to impliment
> considering the pain of doing such a thing previously using POPS,
> shell-scripts, perl, CGI... At present, parseltongue is specialised for
> talking to classic AIPS but it could drive any software package (e.g.
> pyraf already exists) and could be used to provide the sort of on-demand
> cut-outs and other extractions Doug mentioned.
>
> Anyway, I am delighted with this announcment and I would like to be
> involved.
>
> best wishes
> a
>
>
>
> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> Dr. Anita M. S. Richards, AstroGrid Astronomer
> MERLIN/VLBI National Facility, University of Manchester,
> Jodrell Bank Observatory, Macclesfield, Cheshire SK11 9DL, U.K.
> tel +44 (0)1477 572683 (direct); 571321 (switchboard); 571618 (fax).
>
> On Wed, 14 Dec 2005, Doug Tody wrote:
> > A small group of us met to discuss how to handle data cubes in VO,
> > prompted by a query from Arecibo on how to publish data from an upcoming
> > HI survey to the VO. The conclusions from the meeting are summarized
> > below.
> >
> > In short, since a data cube is a type of regularly-gridded pixel array it
> > is probably best handled as an image by extending SIA to handle 3D
> > images. Whole image access is generally impractical since the cubes are
> > so large; 2D slices are occasionally useful but are generally not
> > adequate for analysis. Hence the most common type of access is likely to
> > be a 3D subset of the cube data, produced either as a cutout or by
> > resampling. Since cubes can be very large they may actually be stored as
> > multiple data files in an archive, with the cutout generated from pieces
> > of multiple files. In the case of fully processed cubes from a radio
> > survey the Z-axis of the cube is most likely to be some form of velocity,
> > hence the ability to query by velocity (relative to some specified
> > reference frame) is important.
> >
> > A typical use-case would be for the user to use a tool such as the Karma
> > kpvslice, running interactively on the user workstation, to visualize
> > data coming from a 3D cutout or resampling service running remotely on
> > the data server. VO-Client tools could be used to locate and retrieve
> > the data.
> >
> > Comments on this analysis are welcome. One conclusion is that it is a
> > priority to address 3D data in the next version of SIA. - Doug
> >
> >
> > ---------- Forwarded message ----------
> > Date: Wed, 14 Dec 2005 12:56:18 -0700 (MST)
> > From: Doug Tody <dtody at nrao.edu>
> > To: Roy Williams <roy at cacr.caltech.edu>
> > Cc: Steven Gibson <gibson at naic.edu>, John Benson <jbenson at nrao.edu>,
> > Arnold Rots <arots at head.cfa.harvard.edu>
> > Subject: Re: VO for exposing Arecibo data
> >
> > For the record, some notes from our meeting:
> >
> > o SGPS (ATCA/Parkes) and CGPS are some good current examples of
> > radio spectral data cube data of the sort we need to deal with.
> >
> > Interestingly, at NRAO we don't have much in the way of data cubes
> > to publish to the VO. It is more common to have "multi-band"
> > data with 3-4 samples (e.g., Stokes I, Q, U) in the Z image axis.
> > These are represented as 3D FITS images but a really more multi-band
> > data than a true 3D observation (in SIA we would probably represent
> > them as 3-4 2D images forming a logical group). Spectral line
> > data from VLA/VLBA, or OTF scans from GBT can produce cubes,
> > but at present generally only the PI sees this data.
> >
> > Most radio cube data we are likely to need to deal with has XY
> > as the spatial axes and Z as the spectral axis. Most commonly
> > the observable is velocity in some defined standard of rest.
> > Frequency or wavelength is also seen but mainly for observational
> > data. (Hence being able to query by velocity is quite important
> > for this data).
> >
> > o In general true 3D cubes from modern instruments are impractical to
> > retrieve over the network.
> >
> > o By far the most important form of access appears to be some form of
> > cutout. We can either cut out a smaller 3D cube, or dimensionally
> > reduce the data to produce 2D slices aligned to the image axes.
> > The ability to resample or reproject the data is also important.
> > Both of these cases represent 3D generalizations of what is
> > already done in SIA.
> >
> > o 2D visualization of cubes is not generally very useful. The most
> > common use case is to pull out a smaller 3D cube and visualize
> > or analyze it locally using 3D tools such as Karma etc. provide.
> >
> > o The ability to handle 3D data should be a priority for the next
> > version of SIA. Cube data is most naturally dealt with as a type
> > of "image" data.
> >
> > o There are use cases where cubes with time on the Z axis are also
> > important (the spectral axis and the time axis can both have
> > arbitrarily many samples, as can the spatial axes).
> >
> >
> > - Doug
--
Malte Marquarding - Scientific Computing Group
Australia Telescope National Facility
Radiophysics Laboratory, PO Box 76, Epping, Australia, 1710
Phone: (+61) 2 9372 4485 (work)
(+61) 421 805 164 (mobile)
email: Malte.Marquarding at csiro.au
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