Enhancing HST Spectral Products · 1) Make Combined 1D Spectral Products Available and create the...
Transcript of Enhancing HST Spectral Products · 1) Make Combined 1D Spectral Products Available and create the...
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EnhancingHSTSpectralProducts
AlessandraAloisi
&
“HSTSpectroscopicLegacyWorkingGroup”
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Introducingthe“HSTSpectroscopicLegacyWorkingGroup”
• TheHSLWGwasformedtostudytherecommendaBonsstemmingfromthe“EnhancingtheLegacyofHSTSpectroscopy”WorkshopheldatSTScIonNov15‐16,2012.
• PrimaryGoalsoftheHSLWG:- OpBmizeHST'simpactoncurrentandfuturespectroscopicresearch
(bothnewandarchival)byidenBfyingthemostproducBveandfeasible(inbothatechnicalandresources‐requiredsense)archivalimprovementsfromthesuggesBonsgeneratedbytheWorkshop,fordevelopmentandimplementaBonwithina2yearhorizon.
- EnsureintheprocessthattheHSTfinalarchivewillhavethequality,content,andtoolstosupportneedsofthesciencecommunityunBlnextUV/opBcalspectroscopicmissionislaunched,adecadeormoreinthefuture.
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OverviewoftheProcess
• Membershipofthegroupisasfollows:AlessandraAloisi(chair)JerryKrissAzaleeBostroemCris8naOliveiraKenCarpenterRachelOstenStefanoCasertano(co‐chair)LouStrolgerScoCFlemingJeffValen8AndrewFoxRickWhite
• TheHSLWGfirstidenBfiedthemainthreadsfromWorkshopwithaneyetowardfindingthemostusefulandfeasibleonesfromamongthelargenumberofrecommendaBonsproducedbytheparBcipants.
• 5majorareasofdiscussionweresingledoutandexplored:a. Combiningspectrab. Spectraltoolsthatarealreadyavailablebutpeoplearenotawareofc. (ExtracBngmulB‐objectspectraautomaBcally)d. ExtracBnginformaBonfromspectrae. TargetinformaBonandclassificaBon
• FinalrecommendaBonswerepresentedtotheHSTMissionOfficeinJuly2013.
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RecommendaBons–Part1
IdenBfiedfollowingtasksasprioriBesfornext~2years(orderedfromhighesttolowest
priority):
1. Makecombined1Dspectralproductsavailableandcreatethepipelinetodoit(developtheequivalentofASTRODRIZZLEforspectroscopy)• Shouldbedoneincrementallybyincreasingthedifficulty/complexityof
the1DspectroscopicdatathatarehandledbythecombinaBonprocess.
• Severalpipelinesalreadyexist(developedbyindividualsorscienceteams)andcanbeusedtofacilitatedesignandrequirementsforamoregenericpipeline.
2. VisualizaBontoolsforspectra• ManytoolswithdifferentfuncBonsalreadyexistspreadthroughout
MAST,HLA,andVO.• PurposeofthisacBvityistoconsolidateexisBngtoolsintotheArchive
Portal.• Toolswillallowforaquicklookandbasicmeasurementsofthe
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RecommendaBons–Part2
3. SearchtooltoselectsourcesbasedontheirclassificaBon• ShouldbedynamicandintegratedintotheArchivePortal.
• ClassificaBoncouldbedonestarBngfromHSTprogramID,PIkeywordsandabstractandevolvingintosomethingmoresophisBcated(e.g.,catalog‐basedclassificaBon,crowdsourcing,etc.).
4. ToolforfeatureidenBficaBonandmeasurement(developtheequivalentofasourceextractorforspectra)• ReliesonclassificaBonofspectroscopicsourcesforcomplete
implementaBon.• MayrequiremulBpleopBonstohandledifferenttypesofdata(emission/
absorpBon,bands,forests;highS/Nvs.lowS/N;highzvs.lowz,conBnuumstructure).
• ShouldbefullyintegratedintotheArchivePortal.
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RequestedFeedback
• Wouldyouusethetoolsandthehigh‐levelspectralproductsthatweareproposingtodevelop?Ifso,how?
• Doyouagreewiththeprioritylist?• Issomethingmajormissingfromourlist?• Anythingelsethatweshouldtakeintoaccount?
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Back‐upSlides
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1)MakeCombined1DSpectralProductsAvailableandcreatethePipelinetodoit–
Part1• UlBmatepurposeofthisacBvityistocombine1Dspectroscopicdata
together.Inordertodosoaspectroscopicpipelineisrequired.• AnexampleoftheadvantageofcombiningspectratakenwithdifferentCOS
selngsisillustratedbelow.CombinedHST/COSspectrumoftheSeyfert1galaxyMrk509fromKrissetal.(2011,A&A,534,41).TheblackcurveshowsthesinglespectrumofonewavelengthseZngproducedbytheCOSpipeline.TheredcurveshowsthecombinedspectrumusingallfourcentralwavelengthseZngs(thisisnotcurrentlydonebyCALCOS).Thethinnercurvesshowtherespec8vesignal‐to‐noisera8osofthesinglespectrumandthecombinedspectrum.
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1)MakeCombined1DSpectralProductsAvailableandcreatethePipelinetodoit–
Part2
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• Highpriority,butwillrequire~2years• Taskshouldbedoneincrementallybyincreasingthe
difficulty/complexityofthe1DspectroscopicdatathatarehandledbythecombinaBonprocess.
• Severalpipelinesalreadyexist(developedbyindividualsorscienceteams)andcanbeusedtofacilitatedesignandrequirements.– TypicallyexisBngpipelinesaretailoredtospecificsciencegoals.– Amoregeneraldesignisrequired.– ThewriBngofthepipelineshouldbedoneinsteps:
• Thetoolcanstartasanoff‐linetoolmanuallytriggeredtocreatenewhigh‐levelproductsforourownHSTdataintotheHLA.Thiswillallowustogetsomethingquicklyandwithhighvisibility.
• ItcouldevolveintopartoftheDMSprocessing.• UlBmatelyitcouldbecomeastand‐alonetoolofferedtothe
community,similarlytoanASTRODRIZZLEforspectroscopy.
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1)MakeCombined1DSpectralProductsAvailableandcreatethePipelinetodoit–
Part3
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• ForcombinaBonof1Dhomogeneousdata(HSTsimilarinstrumentandresoluBon):– Phase1(6months,FY2014‐Q3,Q4):designandrequirements
– Phase2(18months,throughFY2016‐Q2):developmentandtesBng
– Phase3(parBallyoverlappingwithPhase2,conBnuingeffort):implementaBon,dataprocessingandingesBon
• ForcombinaBonofheterogeneousdata,add50%ormore– couldbepartlydoneinparallel
• Forextendedsources,theseconddimensionneedstobeadded(2Dspectroscopy).
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2)VisualizaBonToolsforSpectra–Part1• PurposeofthisacBvityistoconsolidatetheexisBngvisualizaBontoolsfor
spectraintotheArchivePortal.• AlotoftoolswithdifferentfuncBonsalreadyexistspreadthroughoutMAST,
HLA,andVO(seefiguresbelow):– ExisBngtoolsareOKforaquicklookandsomebasicmeasurements.– ExisBngtoolsneedimprovementstobecomemoreuserfriendlyandformoreindepthanalysis.– EverythingshouldbeconsolidatedintothePortal.– TimeframeisdrivenbyintegraBonintothePortal.
1739.52 , 2.918646e-14
Central Line: 1 Coadd(totalcolumns):
1 Xmin: 1443.87 X
max: 1739.87 Reset Zoom
X Axis Units: WCS Units Smooth(width in 1 Y 2.926729e-16 Y 3.380351e-14 Y %
Z0I60109T GHRS G140L (exposure) FAIRALL9MAST preview
ExamplesofExis8ngVisualiza8onSo_ware.HSTspectraofQSOFairall9areshownwiththreeexis8ngonlinetools.Toolsandfunc8onalityneedtobeintegratedintotheArchivePortalandadver8sed.
VOSpectool(ESA)downloadandmanipulatespectraldatafromVOarchives
HLASpectrumViewermeasureabsorpBonandemissionlines
MASTSpectralPlotcomparedatafrommulBplespectrographsonsameaxes(quicklook)
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2)VisualizaBonToolsforSpectra–Part2
• Medium‐highpriority,mostlybasedonadaptaBonofexisBngtools.
• Weenvisionallthesetoolsasweb‐based.• Thetoolswillallowforaquicklookandbasicmeasurementsofthespectroscopicdataavailableinthearchive.
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3)SearchTooltoselectSourcesbasedontheirClassificaBon–Part1
• MainfocusofthiseffortiscreaBonofadynamicsearchtoolintegratedintothePortalthatwillselecttargetsbasedonsomekindofclassificaBonofthesources.– applicabletoallHST
data(imagingandspectroscopy).
– basedonVOlexicon.• Mediumpriority,may
bringsomeresultsinlessthanayear. KeywordsusedtodescribethetargetsinthePhase
IIoftheHSTapprovedspectroscopicprograms(COS,STIS,FOS,GHRS).
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3)SearchTooltoselectSourcesbasedontheirClassificaBon–Part2
• ClassificaBonofsourcescouldbeapproachedinanincrementalway:– HSTprogramIDs(aswellasPIkeywordsandproposal
abstracts)alreadyassociatedtoliterature.• Keywordscouldbeeasilyextractedforeachsourceintheprogram,evenifthisprocessisnotquiterigorousandwillresultinsomefalseposiBves.
– HSTdatasets(inaddiBontoprogramIDs,PIkeywords,andabstractproposals)arecurrentlybeingassociatedtoliterature.• Thisisanongoingeffortstartedacoupleofyearsago.• Largeback‐log(~11,000papers)needstobecleared.• HigherprioritycouldbegiventoHST(COS,STIS,FOS,GHRS)spectroscopy(~3,100papers).
– Futuredevelopmentscouldincludecatalog‐basedclassificaBon,crowdsourcingoftheclassificaBon,bererdefiniBonofthetargetkeywordsinthePhaseII.
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4)ToolforFeatureIdenBficaBonandMeasurement(DeveloptheEquivalentofSourceExtractorforSpectra)
Part1
• PurposeofthisacBvityistodeveloptoolsthatallowforfeatureidenBficaBonandmeasurementsonspectra.– ToolswouldbeintegratedintotheArchivePortal.
• Mediumpriority,partlybasedonadaptaBonofexisBngtools.• Similarlytowhatalreadydone,e.g.,forabsorpBonlinesinquasarsof
theSDSS(seefigurebelow).
AutomatedfiZngofquasarspectrumwithautomateddetec8onofabsorp8onlinesillustratedinFig.1fromZhu&Menard(2013,ApJ,770,130).Thetoppanelshowsthebestfitnonnega8vematrixfactoriza8on(NMF)quasarmodelfromSDSSDR7ploCedontheobservedspectrum.Dividingthisoutleavesanormalizedspectrumwithbroadresidualstructures(2ndpanel).MedianfilteringthisspectrumproducestheboCompanel,whichisthensearchedautoma8callyforabsorp8onlines.
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4)ToolforFeatureIdenBficaBonandMeasurement(DeveloptheEquivalentofSourceExtractorforSpectra)
Part2
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• MayrequiremulBpleopBonstohandledifferenttypesofdata(emission/absorpBon,bands,forests;highS/Nvs.lowS/N;highzvs.lowz,conBnuumstructure).– taskcanbestartedanyBme,butreliesonclassificaBonofthespectroscopicsourcesforcompleteimplementaBon.
• Usefultoolmaybeobtainedin~1year.• Effortcurrentlybudgetedinsecondyear.
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OtherAreasofPossibleInterest
• MulB‐ObjectSpectralExtracBonandCharacterizaBon(e.g.,Grisms).– Notchampionedwithinworkinggroup.– Maybebestledbyinstrumentteams(e.g.,WFC3+JWSTinstrumentteams).
• ToolstovisualizeandanalyzeBmedependence.– Commonframeworkyettobeestablished.
• HSTdatainmeta‐catalogs.– E.g.,NEDdoesnotshowHSTdataconsistently.
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