head 1.1; access; symbols; locks http:1.1; strict; comment @# @; expand @b@; 1.1 date 2004.06.12.19.19.01; author MarkusDolensky; state Exp; branches; next ; desc @none @ 1.1 log @star group summary by Prusti @ text @ࡱ> 1A0( / 0LDTimes New Romanĩt\ )0tY 0 ` .  @@n?" dd@@  @@@@`` P     c $@@{uʚ;2Nʚ;g4=d=d )0h4ppp@@ <4!d!d 0$<4dddd 0$ <4BdBdy 0$? %  AVO demo need of science cases VO characteristics Summary of what the science problem is and likely outcome Rough outline of the workflow step involved in addressing the case Indication of key data resources required Indication of key algorithms required Projects AGB to PN transition (Garcia-Lario et al.) Multi wavelength and richness of features Discovery of new candidates Multi input data source CC diagrams for candidates, check against SIMBAD if new Data: in VizieR Algorithms: SED analysis tools (BB fitting, change of units, beam correction for extended sources, database of filters associated with standard UCDs, synthetic photometry, model fitting) Problems with AVO prototype: only default columns available, selection constraints (e.g. for 2MASS).+ZZ+h   ) u Projects AGB to PN transition (cont.) Cross-matching with SIMBAD interesting to search for object type classification and/or to recognize new sources not yet identified in the literature (to get object type, bibrefs etc.)&&  Projects Search for IR excess in bright stars (Sierra, Garcia-Lario et al.) Exploratory: find IR excess sources (young and old) Cross correlate list of stars with prediction for IR flux with stars with measured IR fluxes; find excess sources after eliminating variables Data: MSX (available), 2MASS (future, see problems) Algorithms: select, cross-correlate and plot large data sets Problems: AVO prototype (VOplot) not stable with >100,000 sources, cross-matching >10,000 sources does not workFCZZC#{,5UQ Projects Companions to PN central stars (Kerber et al.) Case with theory included Find the expected but unknown PN companions Take PN catalogue, cross-correlate with GSC 2MASS and DENIS, compare SED to high resolution model and deviations are companion hosting candidates Data: PN list, GSC, 2MASS, Denis (VizieR), filter curves Algorithms: automatic cross-matcher, classifier for SED vs. model comparison (in progress with GAVO)./ZvZ/v, v Projects Evolution of circumstellar disks in pre-main sequence stars (Solano et al.) Separate VO facility, not part of AVO demo tool Characterisation of proto-planetary disks Collection of observational data (SEDs); stellar physical parametre definition; model fitting Data resources: user data, INES, ISO, IRAS, 2MASS, Stromgren and Johnson photometry (all existing) Key algorithms: calibration of stellar parametres and model fitting (all existing).MZnZMn   b  ;      4 M !Projects Dust emission in the SMC from the diffuse medium to molecular clouds (Bot et al.) Sources are extended Gas to dust ratio as a function of metallicity in ISM and compare with stellar metallicity distribution Data: Radio data missing, CO data missing, (F)IR data OK Algorithms: simple image manipulation Convolution tool (to cope with different resolutions) Simple arithmetics: + - X / Pixel to pixel correlations.RZJZRJPF@@   &  Science Reference Mission 4The evolution of proto-planetary disks from initial conditions to planets The contribution of low and intermediate mass stars to the chemical evolution of galaxies The life cycle of dust The characteristics of the field stars Which star goes supernova next? IMF within 1kpc: from planetary to stellar masses 554  ` ` ̙33` 333MMM` ff3333f` f` f` 3>?" dd@@,|?" dd@@   " @@ ` n?" dd@@   @@@@``PR    @@ ` ` p>> f(    6޼ P  T Click to edit Master title style! !  0    RClick to edit Master text styles Second level Third level Fourth level Fifth level!     S  0 ``  >*  0\ `   @@*  00 `   @@*H  0޽h ? ̙33 Default Design  0,$(  ,r , S $P   r , S   H , 0޽h ? ̙33   $(   r  S ^P   r  S <_  H  0޽h ? ̙33  <0(  <x < c $fP   x < c $Tg  H < 0޽h ? ̙33  ($(  (r ( S \P   r ( S T  H ( 0޽h ? ̙33  $$(  $r $ S XDP   r $ S y  H $ 0޽h ? ̙33  8$(  8r 8 S DP   r 8 S +  H 8 0޽h ? ̙33  L0(  Lx L c $ P   x L c ${  H L 0޽h ? ̙33  @@0$(  0r 0 S "P   r 0 S #  H 0 0޽h ? ̙33r8  Pb!2'F%v- )N# + .( / 0LDTimes New Romanĩt\ )0tY 0 s Projects ProjectsScience Reference Mission  Fonts UsedDesign Template Slide TitlesPowerPoint Presentation '_xMarkus Dolenskystisoft PowerPointon@@p,\@@s@@pK<OG g  `E& &&#TNPP(2OMi & TNPP &&TNPP     c $@@{uʚ;2Nʚ;g4=d=d )0h4ppp@@ <4!d!d 0$<4dddd 0$ <4BdBdy 0$? %  AVO demo need of science cases VO characteristic Summary of what the science problem is and likely outcome Rough outline of the workflow step involved in addressing the case Indication of key data resources required Indication of key algorithms required Projects AGB to PN transition (Garcia-Lario et al.) Multi wavelength and richness of features Discovery of new candidates Multi input data source CC diagrams for candidates, check against SIMBAD if new Data: in VizieR Algorithms: SED analysis tools (BB fitting, change of units, beam correction for extended sources, database of filters associated with standard UCDs, synthetic photometry, model fitting) Problems with AVO prototype: only default columns available, selection constraints (e.g. for 2MASS).+ZZ+h   ) u Projects AGB to PN transition (cont.) Cross-matching with SIMBAD interesting to search for object type classification and/or to recognize new sources not yet identified in the literature (to get object type, bibrefs etc.)&&  Projects Search for IR excess in bright stars (Sierra, Garcia-Lario et al.) Exploratory: find IR excess sources (young and old) Cross correlate list of stars with prediction for IR flux with stars with measured IR fluxes; find excess sources after eliminating variables Data: MSX (available), 2MASS (future, see problems) Algorithms: select, cross-correlate and plot large data sets Problems: AVO prototype (VOplot) not stable with >100,000 sources, cross-matching >10,000 sources does not workFCZZC#{,5UQ Projects Companions to PN central stars (Kerber et al.) Case with theory included Find the expected but unknown PN companions Take PN catalogue, cross-correlate with GSC 2MASS and DENIS, compare SED to high resolution model and deviations are companion hosting candidates Data: PN list, GSC, 2MASS, Denis (VizieR), filter curves Algorithms: automatic cross-matcher, classifier for SED vs. model comparison (in progress with GAVO)./ZvZ/v, v Projects Evolution of circumstellar disks in pre-main sequence stars (Solano on behalf of SpanishVO) Separate VO facility, not part of AVO demo tool Characterisation of proto-planetary disks Collection of observational data (SEDs); stellar physical parametre definition; model fitting Data resources: user data, INES, ISO, IRAS, 2MASS, Stromgren and Johnson photometry (all existing) Key algorithms: calibration of stellar parametres and model fitting with data mining (all existing).]ZZ]   7   2  ;      4 M 2Projects Dust emission in the SMC from the diffuse medium to molecular clouds (Bot et al.) Sources are extended Gas to dust ratio as a function of metallicity in ISM and compare with stellar metallicity distribution Data: Radio data missing, CO data missing, (F)IR data OK Algorithms: simple image manipulation Convolution tool (to cope with different resolutions) Simple arithmetics: + - X / Pixel to pixel correlations.RZJZRJPF@@   &  Science Reference Mission 4The evolution of proto-planetary disks from initial conditions to planets The contribution of low and intermediate mass stars to the chemical evolution of galaxies The life cycle of dust The characteristics of the field stars Which star goes supernova next? IMF within 1kpc: from planetary to stellar masses 554 rzJ VJa( / 0LDTimes New Romanĩt\ )0tY 0 ` .  @@n?" dd@@  @@@@`` P     c $@@{uʚ;2Nʚ;g4=d=d )0h4ppp@@ <4!d!d 0$<4dddd 0$ <4BdBdy 0$? %  AVO demo need of science cases VO characteristic Summary of what the science problem is and likely outcome Rough outline of the workflow step involved in addressing the case Indication of key data resources required Indication of key algorithms required Projects AGB to PN transition (Garcia-Lario et al.) Multi wavelength and richness of features Discovery of new candidates Multi input data source CC diagrams for candidates, check against SIMBAD if new Data: in VizieR Algorithms: SED analysis tools (BB fitting, change of units, beam correction for extended sources, database of filters associated with standard UCDs, synthetic photometry, model fitting) Problems with AVO prototype: only default columns available, selection constraints (e.g. for 2MASS).+ZZ+h   ) u Projects AGB to PN transition (cont.) Cross-matching with SIMBAD interesting to search for object type classification and/or to recognize new sources not yet identified in the literature (to get object type, bibrefs etc.)&&  Projects Search for IR excess in bright stars (Sierra, Garcia-Lario et al.) Exploratory: find IR excess sources (young and old) Cross correlate list of stars with prediction for IR flux with stars with measured IR fluxes; find excess sources after eliminating variables Data: MSX (available), 2MASS (future, see problems) Algorithms: select, cross-correlate and plot large data sets Problems: AVO prototype (VOplot) not stable with >100,000 sources, cross-matching >10,000 sources does not workFCZZC#{,5UQ Projects Companions to PN central stars (Kerber et al.) Case with theory included Find the expected but unknown PN companions Take PN catalogue, cross-correlate with GSC 2MASS and DENIS, compare SED to high resolution model and deviations are companion hosting candidates Data: PN list, GSC, 2MASS, Denis (VizieR), filter curves Algorithms: automatic cross-matcher, classifier for SED vs. model comparison (in progress with GAVO)./ZvZ/v, v Projects Evolution of circumstellar disks in pre-main sequence stars (Solano on behalf of SpanishVO) Separate VO facility, not part of AVO demo tool Characterisation of proto-planetary disks Collection of observational data (SEDs); stellar physical parametre definition; model fitting Data resources: user data, INES, ISO, IRAS, 2MASS, Stromgren and Johnson photometry (all existing) Key algorithms: calibration of stellar parametres and model fitting with data mining (all existing).]ZZ]   7   2  ;      4 M 2Projects Dust emission in the SMC from the diffuse medium to molecular clouds (Bot et al.) Sources are extended Gas to dust ratio as a function of metallicity in ISM and compare with stellar metallicity distribution Data: Radio data missing, CO data missing, (F)IR data OK Algorithms: simple image manipulation Convolution tool (to cope with different resolutions) Simple arithmetics: + - X / Pixel to pixel correlations.RZJZRJPF@@   &  Science Reference Mission 4The evolution of proto-planetary disks from initial conditions to planets The contribution of low and intermediate mass stars to the chemical evolution of galaxies The life cycle of dust The characteristics of the field stars Which star goes supernova next? IMF within 1kpc: from planetary to stellar masses 554 ra ax 3 !"#$%&'()*+,-./2456789:;<=>?@@CDEFGHRoot EntrydO)+1OBCurrent User;/SummaryInformation( PowerPoint Document(xDocumentSummaryInformation81\` .  @@n?" dd@@  @@@@`` P     c $@@{uʚ;2Nʚ;g4=d=d )0h4ppp@@ <4!d!d 0$<4dddd 0$ <4BdBdy 0$? %  AVO demo need of science cases VO characteristic Summary of what the science problem is and likely outcome Rough outline of the workflow step involved in addressing the case Indication of key data resources required Indication of key algorithms required Projects AGB to PN transition (Garcia-Lario et al.) Multi wavelength and richness of features Discovery of new candidates Multi input data source CC diagrams for candidates, check against SIMBAD if new Data: in VizieR Algorithms: SED analysis tools (BB fitting, change of units, beam correction for extended sources, database of filters associated with standard UCDs, synthetic photometry, model fitting) Problems with AVO prototype: only default columns available, selection constraints (e.g. for 2MASS).+ZZ+h   ) u Projects AGB to PN transition (cont.) Cross-matching with SIMBAD interesting to search for object type classification and/or to recognize new sources not yet identified in the literature (to get object type, bibrefs etc.)&&  Projects Search for IR excess in bright stars (Sierra, Garcia-Lario et al.) Exploratory: find IR excess sources (young and old) Cross correlate list of stars with prediction for IR flux with stars with measured IR fluxes; find excess sources after eliminating variables Data: MSX (available), 2MASS (future, see problems) Algorithms: select, cross-correlate and plot large data sets Problems: AVO prototype (VOplot) not stable with >100,000 sources, cross-matching >10,000 sources does not workFCZZC#{,5UQ Projects Companions to PN central stars (Kerber et al.) Case with theory included Find the expected but unknown PN companions Take PN catalogue, cross-correlate with GSC 2MASS and DENIS, compare SED to high resolution model and deviations are companion hosting candidates Data: PN list, GSC, 2MASS, Denis (VizieR), filter curves Algorithms: automatic cross-matcher, classifier for SED vs. model comparison (in progress with GAVO)./ZvZ/v, v Projects Evolution of circumstellar disks in pre-main sequence stars (Solano on behalf of SpanishVO) Separate VO facility, not part of AVO demo tool Characterisation of proto-planetary disks Collection of observational data (SEDs); stellar physical parametre definition; model fitting Data resources: user data, INES, ISO, IRAS, 2MASS, Stromgren and Johnson photometry (all existing) Key algorithms: calibration of stellar parametres and model fitting with data mining (all existing).]ZZ]   7   2  ;      4 M 2Projects Dust emission in the SMC from the diffuse medium to molecular clouds (Bot et al.) Sources are extended Gas to dust ratio as a function of metallicity in ISM and compare with stellar metallicity distribution Data: Radio data missing, CO data missing, (F)IR data OK Algorithms: simple image manipulation Convolution tool (to cope with different resolutions) Simple arithmetics: + - X / Pixel to pixel correlations.RZJZRJPF@@   &  Science Reference Mission 4The evolution of proto-planetary disks from initial conditions to planets The contribution of low and intermediate mass stars to the chemical evolution of galaxies The life cycle of dust The characteristics of the field stars Which star goes supernova next? IMF within 1kpc: from planetary to stellar masses 554   0,$(  ,r , S $P   r , S   H , 0޽h ? ̙33  8$(  8r 8 S DP   r 8 S +  H 8 0޽h ? ̙33rR/ ^FJH ./6J( / 0LDTimes New Romanĩt\ )0tY 0 ` .  @@n?" dd@@  @@@@`` P   !"#$%&'()*+,-./023456789:Oh+'0 `h  PowerPoint Presentation Timo Prustitprusti28uMicrosoft PowerPointon@@B`@@s@@P܌OG g  `E& &&#TNPP(2OMi & TNPP &&TNPP    --- !---&G&w@@ C[wdw0- &Gy& --y@@H-- @@Times New Roman[wdw0- .42 WAVO demo need of science cases**+/.--yH-- @@Times New Roman[wdw0- . 2 R. .!2 vVO characteristic*    . . 2 ;R. .B2 ;v'Summary of what the science problem is !          . ."2 ovand likely outcome    !. . 2 R. .<2 v#Rough outline of the workflow step          . .62 vinvolved in addressing the case       . . 2 R. .E2 v)Indication of key data resources required         . . 2 ZR. .?2 Zv%Indication of key algorithms required          .--"System 0-&TNPP &՜.+,0,    On-screen ShowESAx6  Times New RomanDefault DesignAVO demo need of science cases Projects Projects Projects Project@