head 1.1; access; symbols; locks http:1.1; strict; comment @# @; expand @b@; 1.1 date 2004.06.03.14.36.50; author MarkusDolensky; state Exp; branches; next ; desc @none @ 1.1 log @Reqs for accessing and matching PNes by Adorf @ text @ࡱ> M bjbj== ",WWvl 8B N $(2~ ( : ((((((("* B,(   ( ( b  ( (g&0( r C4 v '$((0('-p -(Data download and matching for Planetary Nebulae a potential GAVO-AVO project Requirements Analysis HMA (GAVO), V1.0, 26-05-2004 Summary: The AVO team has suggested to the GAVO team to implement a classifier suitable for classifying planetary nebulae (PNe). The classifier needs to be fed with quasi-SEDs of the PNe which need to be assembled from several catalogues. GAVO has implemented a download & matcher tool, which constructs SEDs from multiple catalogues, and feeds them in the ClassX classifier. The GAVO team might modify or re-implement the existing data download and matching tool so that it queries several relevant catalogues, assembles a list of quasi-SEDs, and feeds the latter to the SED-classifier under construction. This document describes the requirements for such a tool. Background The Vizier service at CDS offers a catalogue of 1312 galactic PNe (Kerber et al. 2003). The goal of the classification project is to classify all these PNe. The task requires querying a catalogue (the PNe list), uploading a source list to several catalogues (GSC2, 2MASS, and DENIS) for matching, carrying out a fuzzy spatial join between the match lists returned, assembling a quasi-SED for each plausible match. The table of quasi-SEDs is supposed to be submittable to an SED-classifier (Adorf 2004a). The ClassX download, matching and classification tool The GAVO-team has implemented a fuzzy spatial matcher that is usable for identifying (i.e. classifying) ROSAT sources. The matcher starts with a query, which produces an input list of ROSAT sources. This list is uploaded to Vizier at CDS where it is matched with the sources in each of several indicated catalogues (e.g. 2MASS). The match lists returned are joined and each match candidate is evaluated using a metric indicating the plausibility of the match. As a result, a quasi-SED is constructed, which is submitted to a remote ClassX classification service. A data download & matching tool for PNe A download and fuzzy matcher tool similar to the one described could be useful for assembling quasi-SEDs for the PNs from distributed published catalogues. In case of the PNe-classification project, the following catalogues need to be queried: Coordinates of Galactic planetary nebulae, GSC2 (Guide Star Catalogue 2), 2MASS (2 Micron All-Sky Survey), and DENIS (Deep Near Infrared Survey of the Southern Sky). All catalogues are available via Vizier at CDS. Other data download and matcher applications GAVO is considering implementing a data download and matching tool in the context of a planned collaboration with the Astro-Wise team at the Universitaetssternwarte Muenchen. The requirements are similar to those for the PNe data download & matcher tool. Likewise, one of the science drivers originally collected by GAVO calls for a data download and matcher tool for assembling SEDs of AGNs. The similarities between these requirements might warrant a common code base. Dataflow The data flow for the envisaged PNe data download & matcher tool is depicted in  REF _Ref73269569 \h Figure 1.  Figure  SEQ Figure \* ARABIC 1: Dataflow for the download and matching tool. The user specifies a query, which may comprise the whole catalogue of PNe. The input source list is uploaded to the GSC2, 2MASS and DENIS catalogues available through VizieR at CDS. The resulting match lists are joined in a deterministic matcher. Using the positional uncertainties a fuzzy match metric is computed which allows a judgment concerning the plausibility of the match. The output of the tool is a list of quasi-SEDs that may be submitted to the SED-classifier described elsewhere (Adorf 2004a). Input The user specifies a query describing the PNe to be processed. Additionally, a kappa-value may be prescribed which is used for kappa-sigma clipping (pruning) in the fuzzy matching process. Output The tool produces a table of match candidates with PN ID, sky-position and associated astrometric uncertainties, The GSC2 position and associated astrometric uncertainties, optical magnitudes and associated photometric uncertainties the 2MASS position and associated astrometric uncertainties, J, H, and K magnitudes and associated photometric errors, and the JHK photometric quality flag (Qflag), the DENIS position and associated astrometric uncertainties, I, J, K magnitudes and associated photometric errors Responsibilities It would be the responsibility of the GAVO team to modify or re-implement the probabilistic matcher and provide AVO with access to its functionality, so that the fuzzy matching algorithm implemented by GAVO could be used in the process of generating the observed quasi-SEDs. It would be the responsibility of the AVO team to define any requirements so that the data download and matcher tool could become part of the AVO-demo in early 2005. Open questions In which form should the output be produced? E.g. CSV files, VOTables? How can the data download & matcher tool be interfaced to the SED classifier? E.g. via a locally stored file that is uploaded to the classifier? Should we be thinking of a true SOAP-based Web service instead of/in addition to a REST Web service based on HTTP GET/POST and XML protocols? Should we be thinking of BPEL (Mantell 2003, Kossmann & Leymann 2004)? Can/should the existing ClassX download and matcher tool be modified, or re-written? References Adorf, H.-M., 2004a, An SED Classifier for Planetary Nebulae a GAVO-AVO project, Requirements Analysis and Project Plan Adorf, H.-M., 2004b, GAVO-AstroWise collaboration proposal External fuzzy matcher, 2004-05-24, V1.1 Kerber, F, Mignani, R.P. Guglielmetti, F., Wicenec, A., 2003, Coordinates of Galactic planetary nebulae, VizieR On-line Data Catalog: J/A+A/408/1029. Originally published in: 2003 Astronomy & Astrophysics 408, 1029K Kossmann, D., Leymann, F., Web Services, Informatik Spektrum 27 (2), p. 117 Mantell, K., 2003, From UML to BPEL Model driven architecture in a Web services world German Astrophysical Virtual Observatory  FILENAME Data download and matching requirements.doc Page  PAGE 2 of  NUMPAGES 3 Pfrx?WX`   *+,-/W]#&   56\]j{56U\] mHnHujU jUmHsH6]5\CJaJmH sH mH sH =1Pf(T% [ T U  T  & F  s & F xvT U >?   W]#W&7hKL & F & F$a$L{Huvwx 0^`0 & F  & F 0^`0 1h/ =!"#$%{DyK  _Ref73269569ZDd9pIIp  C LA4figures\fuzzy matcher.jpgR5対݀ J-frFj5対݀ J-fJFIF``C    $.' 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