Régis Haigron (Observatoire de Paris), Haigron, R. (1), Guibert, J. (1), Vétois, J. (1), Paillous, M. (1), Tajahmady, F. (1), Texier, P. (1), Toupet, P. (1), Normand, J. (2), Le Sidaner, P. (2)
(1) GEPI, Observatoire de Paris, UMR 8111 du CNRS, Université Paris-Diderot, 5, place Jules Janssen, 92195 Meudon, France
(2) DIO-VO, UMS 2201 du CNRS, Observatoire de Paris, 61 Av. de l'Observatoire, 75014, Paris, France
Image astrometry may be absent or suffer from weaknesses of various origins: telescope pointing, detector orientation, inaccuracies in the reference catalogue and/or the reduction process.
It is a common place to say that insufficient astrometric quality will compromise the value of a number of scientific outputs: object identification, proper motion determination, multi-wavelength/epoch studies, operations on images such as stacking for signal-to-noise improvement, subtraction for variable or moving object discovery and study, and many others.
We present ASTOOL which offers easy access to a set of astrometric tools using the VO compliant protocol UWS (Universal Worker Service).
ASTOOL is accessible via a standardized VO protocol, a dedicated java program, or through the VO-Paris Portal.
User's or remote images can be submitted to/all or part of/ the following steps:
- blind preliminary astrometric calibration,
- recalibration using one of the best sets of references available at the moment, with choice of the polynomial reduction;
- astrometric quality control of images of any origins;
- optimal reprojection of a set of images from different sources onto a selected common tangential plane system with choice of the centre and output resolution;
- co-addition and subtraction:
- calibrated catalogue extraction.
ASTOOL is a toolbox open to welcome additional tools .
Paper ID: P055