Enhancing HST Spectral Products · 1) Make Combined 1D Spectral Products Available and create the...

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Nov 18 2013 Nov 18 2013 Enhancing HST Spectral Products Alessandra Aloisi & “HST Spectroscopic Legacy Working Group”

Transcript of Enhancing HST Spectral Products · 1) Make Combined 1D Spectral Products Available and create the...

Page 1: Enhancing HST Spectral Products · 1) Make Combined 1D Spectral Products Available and create the Pipeline to do it – Part 1 • Ulmate purpose of this acvity is to combine 1D spectroscopic

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Nov 18 2013

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

spectroscopicdatainthearchive.11/18/13 4

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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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