ObsCore update discussion : adding Axes information in Obscore table
Louys Mireille
mireille.louys at unistra.fr
Fri Apr 24 20:15:17 CEST 2015
Dear Markus, Dear DMers,
My comments below.
Any other points of views from the data providers' side?
Best wishes,
Mireille.
Le 16/04/2015 10:16, Markus Demleitner a écrit :
> Dear Data Modellers,
>
> I've not closely followed the discussion, so this may be a dumb
> question, but let me still ask it: What use cases is this to cover?
>
> Is it, in essence, "Give me all lightcurves/spectra/spectral
> cubes/polarisation images satisfying these conditions"? If so, then
> I have to say I feel
>
> On Wed, Apr 15, 2015 at 07:50:33PM +0200, Louys Mireille wrote:
>> * s_dim1, s_dim2 = the coverage in sampling elements ( pixels) for
>> each spatial axis
>> * em_dim = the coverage in spectral elements along the energy axis
>> * t_dim = the coverage in the time axis, as number of time bins
>> * pol_dim = the coverage in the polarization axis, as number of
>> polarization states
> is both a bit too much and a bit too little.
In the ObsTap protocol , you get the same column as query and as query
response .
It is important for the user ( human or client application) to get a
sense of richness from the discovered data set in terms of sampling
cells on all axes.
if s_dim1> 200 and s_dim2> 200 , I can derive that the discovered
dataset is rather rich enough in spatial dimension, and still manageable
for download.
if t_dim > 20, I may be interested in this time serie aspect: enough
time samples , or I may discard it : not enough time samples...
I admit there is some overlap , between pol_dim and pol_states , because
you can derive pol_dim from counting the number of slashes
the suggestion to expose the nature of axes as an ordered list , as a
simple concatenation of FITS WCS Ctype is not completely satisfactory
either:
long strings to parse , not really unique as a dataset can be packaged
in one N-D table or in a multi-extension FITS, and in this case , one
"axis_type" string is not
appropriate.
The advantage here is to stick to existing axes classes: s, em , t , pol
, and to provide a first guess on the size along these axes.
A richer description , that convey the number of arrays and the WCS
ctype, and axes ranks settings can then be provided in a second step.
--
Mireille Louys , Maître de conférences
Centre de Données ( CDS) Icube & Télécom Physique Strasbourg, Pôle API
Observatoire de Strasbourg 300, boulevard Sébastien Brant
11, Rue de l'Université CS 10413
67000 Strasbourg F - 67412 ILLKIRCH Cedex
http://astro.unistra.fr http://www.telecom-physique.fr
tel : 03 68 85 24 34
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