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Correcting peak deformation in Rosetta’s
ROSINA/DFMS mass spectrometer
Johan de Keyser, Federik Dhooghe, Andrew Gibbons, Kathrin Altwegg, Hans
Balsiger, Jean-Jacques Berthelier, Christelle Briois, Ursina Calmonte, Gael
Cessateur, Eddy Equeter, et al.
To cite this version:
InternationalJournalofMassSpectrometry393(2015)41–51
ContentslistsavailableatScienceDirect
International
Journal
of
Mass
Spectrometry
j o ur na l ho me p a g e : w w w . e l s e v i e r . c o m / l o c a t e / i j m s
Correcting
peak
deformation
in
Rosetta’s
ROSINA/DFMS
mass
spectrometer
J.
De
Keyser
a,b,∗,
F.
Dhooghe
a,
A.
Gibbons
a,c,
K.
Altwegg
d,e,
H.
Balsiger
d,
J.-J.
Berthelier
f,
Ch.
Briois
g,
U.
Calmonte
d,
G.
Cessateur
a,
E.
Equeter
h,
B.
Fiethe
i,
S.A.
Fuselier
j,
T.I.
Gombosi
k,
H.
Gunell
a,
M.
Hässig
d,
L.
Le
Roy
e,
R.
Maggiolo
a,
E.
Neefs
h,
M.
Rubin
d,
Th.
Sémon
daSpacePhysicsDivision,BelgianInstituteforSpaceAeronomy,Ringlaan3,B-1180Brussels,Belgium
bCenterforPlasmaAstrophysics,KatholiekeUniversiteitLeuven,Celestijnenlaan200B,B-3001Heverlee,Belgium
cQuantumChemistryandPhotophysicsLaboratory,UniversitéLibredeBruxelles,Av.F.D.Roosevelt50,B-1050Brussels,Belgium dPhysikalischesInstitut,UniversityofBern,Sidlerstr.5,CH-3012Bern,Switzerland
eCenterforSpaceandHabitability,UniversityofBern,Sidlerstr.5,CH-3012Bern,Switzerland fLATMOS/IPSL-CNRS-UPMC-UVSQ,4Av.deNeptuneF-94100,Saint-Maur,France
gLaboratoiredePhysiqueetChimiedel’Environnementetdel’Espace,CNRS&Univ.d’Orléans,3AAv.delaRechercheScientifique,45071Orléans,France hEngineeringDivision,BelgianInstituteforSpaceAeronomy,Ringlaan3,B-1180Brussels,Belgium
iInstituteofComputerandNetworkEngineering(IDA),TUBraunschweig,Hans-Sommer-Straße66,D-38106Braunschweig,Germany jDepartmentofSpaceScience,SouthwestResearchInstitute,6220CulebraRoad,SanAntonio,TX78228,USA
kDepartmentofAtmospheric,OceanicandSpaceSciences,UniversityofMichigan,2455Hayward,AnnArbor,MI48109,USA
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:Received4August2015
Receivedinrevisedform14October2015 Accepted14October2015
Availableonline23October2015 PACS: 82.80.Ms 95.55.Pe 95.55.Ym 95.75.Pq MSC: 49M15 90C53 90C90 65K10 Keywords: Massspectrometry Planetaryinstrumentation Dataanalysis Cometatmosphere Rosetta
a
b
s
t
r
a
c
t
TheDoubleFocusingMassSpectrometer(DFMS),partoftheROSINAinstrumentpackageaboardthe EuropeanSpaceAgency’sRosettaspacecraftvisitingcomet67P/Churyumov-Gerasimenko,experiences minordeformationofthemasspeaksinthehighresolutionspectraacquiredform/Z=16,17,andtoa lesserextent18.Anumericaldeconvolutiontechniquehasbeendevelopedwithatwofoldpurpose.A firstgoalistoverifywhetherthemostlikelycauseoftheissue,alackofstabilityofoneoftheelectric potentialsintheelectrostaticanalyser,canindeedbeheldresponsibleforit.Thesecondgoalistocorrect forthedeformation,inviewoftheimportantspecieslocatedaroundthesemasses,andtoallowastandard furthertreatmentofthespectraintheautomatedDFMSdataprocessingchain.
©2015TheAuthors.PublishedbyElsevierB.V.ThisisanopenaccessarticleundertheCCBY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/).
∗ Correspondingauthorat:SpacePhysicsDivision,BelgianInstituteforSpace Aeronomy,Ringlaan3,B-1180Brussels,Belgium.Tel.:+3223730368.
E-mailaddress:Johan.DeKeyser@aeronomie.be(J.DeKeyser).
1. Introduction
DFMSisthehighresolutiondoublefocusingmassspectrometer oftheROSINAinstrument[1]onboardtheRosettaspacecraftofthe EuropeanSpaceAgency.Rosettaisvisitingcomet 67P/Churyumov-Gerasimenko.TheDFMSmassspectrometer(Fig.1)hasbeenbuilt withthepurposeofmeasuringthecompositionofthecometary http://dx.doi.org/10.1016/j.ijms.2015.10.010
42 J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51
Fig.1. TheDFMSmassspectrometerinthecleanroombeforeinstallationon Rosetta.Theinstrumententranceisundertheclosedcoverontheright;thedetector headistotheleft.Theelectronicsboxisatthebottom.
Fig.2. AschematicdrawingofthearchitectureoftheDFMSmassspectrometer showingtheinstrumententrancewiththeionsource,thetransferoptics,the elec-trostaticanalyser,thesectormagnet,thezoomsystem,andthedetectors[1].
atmosphere.Itcandetectcometaryneutralsandionsinthemass rangeof13–150amu/e.Intheformercasetheneutralsflowinto theinstrument,wheretheymaybeionisedwithorwithout accom-panyingfragmentationuponbombardmentwith45eVelectrons. Inthelattercase,positivecometaryionsareattractedbysetting agridinfrontoftheinstrumententranceatanegativepotential, whilethenegativespacecraftpotentialalsofacilitatestheingestion ofions.Theionsareelectrostaticallyaccelerateduponleavingthe source.Theanalysersection(Fig.2)consistsofthetransferoptics, anelectrostaticanalyserandasectormagnet,followedbyazoom system,allowingtheinstrumenttoworkinalowandahighmass resolutionmode(LRandHRmode),theHRmodeofferinga fac-torof6.4improvementinresolutionascomparedtotheLRmode. Thezoomsystemconsistsofahexapoleplustwoquadrupoles.The hexapolecanbeusedtorotate thefocalplane,whilethe com-binationoftwo quadrupolesallowstoincreasetheimagescale. Theactualzoomfactorvaries between5.0and 6.6becausethe quadrupolepotentialsareadaptedasafunctionofthe accelerat-ingpotential[2].DFMSfeaturesthreedifferentdetectors,ofwhich thecombinationofamicrochannelplate(MCP)withalinearCCD (theLinearElectronDetectorArrayorLEDAchip,whichfor redun-dancyreasonsfeaturestworowsofchargecollectinganodes)is beingusedmostoften[3,4].TheanalogCCDoutputisdigitizedby ananalog-to-digitalconverter(ADC)providinganumberofcounts perpixel,whichlateristranslatedintoanumberofdetectedions.
TheDFMS-MCP/LEDAcombinationoffersdetailedviewsofsections ofthemassrangecenteredaroundacommandedmass.Themass resolutionactuallyachievedisaroundm/m=800inLRmodeand 5000inHRmode,wheremisthefullwidthathalfmaximum ofthemasspeaks.Thehighresolutionmode,inparticular,offers interestingprospectsfordistinguishingisotopesandestablishing isotoperatios[5,6].Earlyscientificresults[7–10]confirmthehigh massresolutioncapabilityoftheinstrument.
WhileDFMSoperates successfully,aproblemhasbeen spot-tedwiththeinstrumentoperatinginneutralmodeforHRspectra atmass-over-chargeratiosofm/Z=16,17,andtoalesserextent 18amu/e;thisproblemisalsomarginallypresentintheLRspectra atm/Z=16and17.Theproblemconsistsofanabnormal broaden-ingand/ordeformationofthemasspeaks.Fig.3showsHRspectra forcommandedmassesm/Z=16amu/e(upperhalfofthefigure) andm/Z=17amu/e(lowerhalf)fromrowA(top)andB(bottom) obtainedon2014-08-2202:10:40and02:11:08(red♦), 2014-10-2017:44:13and17:44:47(green◦),and2014-12-2511:17:34and 11:18:04(blue䊐).Allspectrawereacquiredwithahighelectron emissioncurrent(200A)intheDFMSionsource.Thecurvesgive therawADCcountscollectedduring20safterremovaloftheLEDA offset(pixelandread-outnoise)asafunctionofthedetectorpixel number.Theshape ofthedeformedpeaksslowlychanges with time.Withinasinglespectrumthepeakshapeisslightlydifferent foreachmasspeak,andtherealsoaresomedifferencesbetween rowAandB.Peakpositionsalsochangewiththepropertiesofthe massanalyser,forinstance,duetothevariationofmagnetstrength withtemperature.
Themostlikelyexplanationofferedthusfarisaproblemwith theinstrumentoptics.Theelectricpotentialsatwhichtheinner andouterplatesoftheelectrostaticanalyserareset(asafunction ofcommanded mass)arebuiltfroma coarseanda fine poten-tial.Betweenm/Z=15and16amu/ethereisamajorstepinthe coarsepotential,requiringthefinepotentialtobeatitshighest valueform/Z=16amu/eandprogressivelysmalleratsubsequent masses,andthusclosetoitsdesignlimits.Theworkinghypothesis isthatthefinepotentialthenfluctuatesaroundthedesiredvalue. Thespectrathereforearedeformed,andthisismostpronounced intheHRspectra.
Thegoalofthepresentpaperis(1)tomodelthepeak defor-mationsoastoverifywhetheritiscompliantwiththeworking hypothesis,and(2)toofferawaytodeconvolvethespectrasothat theycanbeprocessedafterwardsbythenormalDFMSdata process-ingchain.Thisisparticularlyrelevantinviewoftheimportanceof thespeciesdetectedatm/Z=16–17amu/eforcometarychemistry.
2. Theoriginofthepeakdeformationeffect
ThissectionfirstbrieflyreviewshowDFMSmassspectraof neu-tralspeciesareobtainedwiththeMCP/LEDAdetector.Afterthat, thenatureofthedeformationisdiscussed.
2.1. DFMSmassspectraforneutralgas
DFMSismountedonthecomet-facingsideofRosettawithits 20◦×20◦fieldofviewacceptingtheoutflowingcometarygas. Neu-tralmoleculescandirectlyflowintotheion sourcewhere they arebombardedwithelectronsthatareemittedbyafilamentand acceleratedthrougha45Vpotential.Afractionofthemoleculesis ionisedorbrokenupintochargedfragments.Theseareaccelerated byamass-dependentaccelerationvoltageVaccel.Theanalyserhas
J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51 43
spatiallyseparated,afterwhichtheenergyslitselectsthedesired energyrange.Thekineticenergyoftheionsenteringtheanalyseris (ignoringtheinitialionenergyintheionsource)theenergygained duringacceleration
1 2m
v
2=ZeV accel.
Theionsfollowacirculartrajectorywithradiusriftheyexperience aconstantradialacceleration
a=
v
r =2 2ZeVaccelmr
towardsthecirclecenter.Suchaconstantaccelerationisprovided inthecircularelectrostaticanalysersectionbytheelectricfieldset bythedifferencebetweentheinnerandouterelectrostaticanalyser platepotentialsVouterandVinner,
EESA=
Vouter−Vinner
R ,
whereRisthewidthoftheanalyserchannel.Witha=ZeEESA/m,
theradiusofcurvatureoftheiontrajectoryis r= 2VaccelR
Vouter−Vinner
.
Thenominaldesignoftheelectrostaticanalyserissuchthatr=rESA,
thatis,thecurvatureradiusoftheionsmatchesthecurvatureofthe
circularanalyser.Ifallisnominal,onlyionswithinagivenenergy rangearoundZeVaccelarriveattheendofthecircularsection
with-outhittingthewalls,regardlessoftheirmass.Notealsothatthe energyofthoseionsdoesnotchange.Anenergyslitattheexitof theanalysernarrowsdowntheenergyrangeevenmore(nominal energy±1%).Atthesametime,theexitvelocitiesoftheparticles havebecomemorepreciselyaligned.Themagneticsectorwitha fieldBandaradiusrmagnetthensortstheionsaccordingtom/Z.
Ideally,ionswiththecommandedmassm/Zwillhitthecenterof thedetectorasdictatedby
m Ze = r2 magnetB2 2Vaccel .
TheDFMSopticsallowforahighmassresolutionmodebyselecting adifferentslitafterthetransferopticsandbyusinga quadrupole-basedzoomsystem.Also,toincreasethesensitivityforheavyions (m/Z≥70amu/e)forwhichVaccelislowaccordingtotheabove
for-mula,apost-accelerationisappliedbyplacingthefrontsideofthe MCPatalowerpotentialsothattheionsgainadditionalenergy beforehittingtheMCP. The MCPconsistsof two microchannel plateswithnarrowchannelsinachevronshape.Anincomingion producesa cascadeofelectrons,theintensityofwhichdepends ontheionenergyandonthepotentialdifferencebetweentheMCP frontandbacksides[3].Theresultingelectroncascadethenhitsthe 2-row512-pixelLEDAchip[4].TheLEDAanalogmeasurementsare
44 J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51
convertedtoadigitalsignal,andareobtainedasADCcountsasa functionofLEDApixelnumberforbothLEDArows.TheMCP/LEDA detectorthusrecordsamassspectrumforanm/Zintervalaround theCM.Allparticleswiththesamem/Zproduceamasspeakwith afinitewidthduetotheremainingspreadinenergyand/or veloc-ityoftheionsastheyexittheanalysersection,due tothesize oftheMCPmicrochannels,andalsoduetothefinitewidthofthe electroncascaderecordedbytheLEDA foreachionincidenton theMCP,whichdependsontheMCPandLEDApixelsizesandthe MCP-LEDAseparation.Itturnsoutthatmasspeakscanbe repre-sentedbyaGaussianatthenominalionm/Zandahalf-widthof about6LEDApixels,combinedwithasecondGaussiancentered atthesamem/Z,with∼1/6thoftheamplitudeandawidththatis ∼2.5timeswider.Typically,anumberofseparateshort-duration exposuresisaccumulatedatthesameCM,inordertoproducea spectrumwhileaveragingoutnoise.TheADCcountsneedtobe correctedfortheoffsetduetopixelandread-outnoiseintheLEDA, fortheoverallMCPgainfactor,andforthepixel-dependentgain differencesmainlyduetounevenMCPaging.Bytakingintoaccount theinstrumentsensitivitiesandthefragmentationpatternsinthe ionsource,onemayderiveneutralcometgasdensities[see,e.g., thediscussionin12].Forverification,atleastforthemajorspecies (H2O,CO,CO2),across-calibrationcanbeperformedwiththe
den-sitymeasuredbytheCOPSnudegaugeand/orwiththeRTOFmass spectrometer[1].
2.2. Peakdeformation
AssumethatthereisanerrorıEESAintheelectricfieldapplied
intheanalyserduetoanill-setvoltage.Ifthiserrorissmall,anion inafirstapproximationstillfollowsacirculartrajectory,butwith aslightlymodifiedradius
r=r+ır=r
1−ıEESA EESA .Thischangeinradialpositionoftheionsuponleavingtheanalyser propagatesfurtherdownthemagneticsectorandthezoomsystem. Thus,theconsequenceofaslightchangeintheanalyserpotentials isaproportionallyslightdisplacementofthemassspectrainLR mode,andamorepronounceddisplacementinHRmodeasthe effectismagnifiedbythezoomoptics.Thisdisplacementresultsin anapparentchangeofmass.
Let us examine what happens if the analyser electric field, insteadofbeingsteady,fluctuatesoveralimitedrange.Asan exam-ple,considerthefluctuationinthepositionofthemasspeakstobe oftheform
ım=m(sint−ˇcos2t) (1)
wherem is aparameter characterisingthefluctuation ampli-tude,andwhereˇisadimensionlessparameter.Theapparentmass shiftsbetweenm(−1+ˇ)andm(1+ˇ)whiletheaveragevalue remainszero.Astimeprogresses,theLEDAdetectoraccumulates chargescorrespondingtothetypicaldouble-Gaussianmasspeaks, whiletheshiftchangescontinuously. Thisleadsto“blurred” or “deformed”masspeaks.
Forˇ=0thefluctuationissinusoidalwithamplitudem.Fig.4, leftcolumn,showsthewaveform,thedistributionofım,andthe resultingmasspeakshapefortwodifferentratiosofthe double-Gaussianpeakwidths(w1 isthewidthoftheprimaryGaussian,
whilethewidthofthesecondary oneistakenw2=2.5w1)
rel-ativetothefluctuationamplitude,w1/m=1.28and0.2;these
ratios correspond to typical LR and HR mode spectra, respec-tively.For a sinusoidal fluctuation,theım/mdistributioncan beapproximatedby a binarydistribution at±1. Depending on theratiow1/m, thisresultsin a broadenedpeak or a double
peak. For thecase ˇ=0.2, shown in Fig.4, middle column,the masspeaksarenowpeakswithashoulderorasymmetric dou-ble peaks, and again thedistribution is dominated by the two extremeamplitudes.AmorecomplicatedcaseisshowninFig.4, rightcolumn, for ˇ=0.6.The ım/mdistributionis now dom-inated bythree values, andthemass peaksare deformedeven more.
WhilethetimevariationsoftheimposedVinnerandVouterare
notknown,theymustchangemorerapidlythanthetimeneeded tocollectaspectrum,andwithinalimitedrange.Whateverthe precisewaveform,onecanconcludethatthedeformedpeakshapes observedintheLRandHRspectra(doublepeaks,shoulders,...)can indeedbeexplainedbythiseffect.Moreover,itisclearthatonecan approximatesuchdeformedpeaksbyacombinationofjustafew doubleGaussians.
3. Deconvolutiontechnique
Thepresenceofthepeakdeformationeffectistroublesomeas itdegradesthemassresolution. Itmakesitdifficulttoevaluate thepresenceofminorspecies,especiallyifdeformedpeaks over-lap.Italsopreventstheapplicationofthenormaldatatreatment chain.Thispaperthereforeintroducesatechniquethatiscapable ofremovingthepeakdeformationeffect.
3.1. Problemformulation
The DFMS signal, afteroffset removal, mass calibration and detectorgaincorrection,providesthenumberofionsthathitthe MCP/LEDAduringtheexposureintheformofaspectrumf(m)ina massinterval[mbegin,mend].Priortoprocessingsuchaspectrum,
theremainingnoiselevelfthresholdisdetermined.
AnumberofionswithmassesMk,k=1,...,K,areknowntobe
foundinthegivenmassinterval.Wedistinguishbetween“basic” and“additional”ions(K=K+K).A“basic”ionhasa masspeak thatis (atleastpartially)unaffectedbyother overlappingmass peaks,sothatthereisnocontributionfromotherionsinan inter-val[mk,start,mk,stop] aroundMk. Foran“additional”ion nosuch
intervalisavailable.Thisisthecase,forinstance,foranionwhose masspeakformsasmallcontributioninthewingsofadominant species.
Let also the non-deformed peak shape G(;w1,w2,˛), the
aforementioneddouble-GaussianresponseoftheMCP/LEDA detec-tor,begivenasafunctionof,thedifferencefromthenominal ionmass.ThenormalisationG(0;w1,w2,˛)=1isused.Thispeak
shapeisconsideredtobethesamewhateverthemass,sothatthe masspeakduetoionswithmassMkinanon-deformedspectrum
isgivenby
kG(m−Mk;w1,w2,˛),withktheheightofthepeak.GivenaGaussian g(;w)=e−w22
withhalf-widthw,thedouble-Gaussianresponseiswrittenas G(;w1,w2,˛)=(1−˛)g(;w1)+˛g(;w2), (2)
where0≤˛<1andw2>w1.Thewidthsw1andw2,andthe
rela-tivecontribution˛ofthesecondGaussiantotheresponse,areto bedeterminedinthecourseoftheprocess.
J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51 45
Fig.4.SyntheticdeformedpeakshapesbasedonthefluctuationprofileofEq.(1).Left,middle,andrightcolumnsareforˇ=0,0.2,and0.6,respectively.Fromtoptobottom: Waveformofthemassshiftım/masafunctionoftimet,theprobabilitydistributionP(ım/m)ofthemassshift,andtheresultingmasspeakshapesforw1/m=1.28 and0.2,respectively,correspondingtoDFMSpeakshapesatlowandhighmassresolution.
changeacrossthespectrum.Thefollowingformisadoptedherefor representingthepeakshapearoundmassMk:
Pk(m;{j},{j},w1,w2,˛,)= J
j=1 jG(m−mkj(j,);w1,w2,˛) (3) withthenormalisationjj=1.ThisexpressesPkasalinearcom-binationofJdouble-Gaussians withcoefficients j,all withthe
samew1,w2,and˛parameters.Thedouble-Gaussiansarelocated
atmassesmkj=Mk+s(Mk,)j,where s(Mk,)= 1+
Mk−mmid mrange 2 1+M1−mmid mrange 2,with mmid=(mbegin+mend)/2 and mrange=(mend−mbegin)/2. The
factors(Mk,)isintroducedtoallowavariablespacingbetween
thecontributingdouble-Gaussians.It isassumed thatthereis a quadraticallyincreasingdispersionawayfromthecenterofthe spectrum,determinedbyparameter>0.Forthefirstbasicmass M1thefactoriss(M1,)=1andthusmkj=Mk+j,i.e.,thejexpress
therelativepositionsofthecontributingdouble-Gaussianstothe mass associated withthe deformedpeak P1. For all otherions
thepeakisconstructedbyproportionallysqueezingthe double-Gaussians togetheror positioning them farther apart, resulting
innarrowerorbroaderdeformedpeaks.Note,however,thatthe widthsoftheunderlyingdouble-Gaussiansdonotchange.Thisis compatiblewiththeideathatchangesintheelectrostaticanalyser electricfieldsdonotmodifythebeam-formingcharacteristicsof theinstrumentbutonlyleadtoadisplacementofthebeam.
Ifthedeformedpeakshapesareknown,theobservedspectrum canbemodelledas fmodel(m)= K
k=1 kPk(m;{j},{j},w1,w2,˛,) (4)withthe
kgivingthecontributionofeachoftheKions.Correctingthepeak deformationthenamountstosolvingan optimisationproblem:Minimisethediscrepancybetweenf(m)and fmodel(m)bydeterminingtheoptimalparametervalues.First,there
are theintensities
1,...,K ofthe deformedpeaks atmasses˜
M1,..., ˜MK.Notethat,becauseofpossibleminorerrorsinthemass
calibration, thesemassesmaydifferslightly fromthegivenion massesM1,...,MKandmustbeconsideredunknown.Next,there
aretheunknownmassdeviations1,...,Jandthe
correspond-ingcontributions1,...,J,togetherwithparameter,thatdefine
thedeformedpeakshapeandhowitchangesacrossthespectrum. Notethatwechoose ˜M1=M1;otherwisetherewouldbean
ambi-guityindefiningthej.Finally,onehastheparametersw1,w2and
46 J. De Keyser et al. / International Journal of Mass Spectrometry 393 (2015) 41–51
Fig.5.DeformedpeakshapecorrectionforHRspectraatm/Z=16on2014-10-2019:54:20.Thepanelsshowthecalibratedspectruminblue,withthemodelfitresultaftereachstepoftheoptimisationprocessingreen,as explainedintheAppendix.Thebottompanelgivesthecorrectedspectrum.Thepeakscorrespondto32S2+,16O+,14NH
2+,and12CH4+,inorderofincreasingmass;theirpositionsareindicatedbytheverticaldashedlines.The
J. De Keyser et al. / International Journal of Mass Spectrometry 393 (2015) 41–51 47
Fig.6.DeformedpeakshapecorrectionforHRspectraatm/Z=17on2014-10-2019:54:50.Thepanelsshowthecalibratedspectruminblue,withthemodelfitresultaftereachstepoftheoptimisationprocessingreen,as explainedintheAppendix.Thebottompanelgivesthecorrectedspectrum.Thepeakscorrespondto16OH+and14NH
3+inorderofincreasingmass;theirpositionsareindicatedbytheverticaldashedlines.Theverticalsolidlines
48 J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51
Table1
IonsandmassesinHRspectraatm/Z=16.
Ion Mass(amu/e)
32S2+ 15.9855 16O+ 15.9944 14NH 2+ 16.0182 12CH 4+ 16.0308
succeedsinsolvingthisoptimisationproblem,onecanconstruct thedeconvolvedspectrum
fdeconvolved(m)= K
k=1
kG(m−mk;w1,w2,˛). (5) Integratingthetotaldetectedsignalunderthedeformedpeakfor anisolatedionkyields k +∞ −∞ Pk(m)dm=k J j=1 j +∞ −∞ G()d =k +∞ −∞ G()d,thatis,itisexactlyidenticaltothesignalunderthedeconvolved peak,asitshouldbe.Notethatchangingthespacingofthe con-tributingdouble-Gaussiansasspecifiedbyhasnoinfluenceon thetotalareaunderthedeformedpeak.
Theoptimisationproblemsketchedaboveisdifficulttosolvefor threereasons.First,theretypicallyarealargenumberofdegrees offreedom.Second,theproblemisnonlinear.Finally,theremay bea numberofsuboptimallocalminima. Tomake theproblem tractable,itisnecessarytobreakitdownintoanumberofsimpler steps.TheAppendixdescribesindetailhowthisproblemcanbe tackled.
3.2. Results
Fig.5showstheHRm/Z=16spectrumobtainedbyDFMSon 2014-10-2019:54:20forLEDArowA(left)androwB(right).We considerthreebasic ions,16O+,12CH
4+ and 14NH2+,inorder of
decreasingimportance,andoneadditionalion,32S2+.Themasses
oftheseionsaregiveninTable1.Thecalibratedspectrumafterthe usual(automated)approximatemasscalibration,afterremovalof theLEDAoffsetandapplyingthegainandthepixelgaincorrection, andafterenhancingthemassresolution4×(asexplainedinthe
Appendix),isgiveninthefigurepanelsasabluecurve.Thethree majorionsappearasdoublepeakswiththepeaktothelow-mass sidelowerthantheoneatthehigh-massside,oraspeakswitha strongshoulderonthelow-massside:whilethedeformedpeakfor
16O+nearthecenterlookslikeasinglepeakwithashoulder,the
signatureof12CH
4+totherightisadoublepeak.Themaximum
noiselevelisgivenbythehorizontaldashedline.
Theresultofthefirstoptimisationstep(firstpanel,greencurve) isaninitialapproximationofthepeakshapeofthefirstbasicspecies
16O+ withinthegiven interval demarcatedbythesolid vertical
lines;only2double-Gaussiansareused.Thesecondpanelgivesthe resultofthesecondoptimisationstepinwhichthisapproximation isusedtomodelthethreebasicspeciesinthethreedemarcated intervals,bydeterminingtheparameterthatdescribeshowthe peakshapechangesacrossthespectrum.Thethirdpanelshowsthe outputofanimproveddeterminationofthedeformedpeakshape, wheremoredouble-Gaussians areintroduced(onemorein this case).Inthefourthpanelthisfinaldeformedpeakshapeisusedto alsomodeltheadditionalspecies.Thecorrectedspectrumisgiven astheblackcurveinthebottompanel.
Table2
ResultsforHRspectraatm/Z=16on2014-10-2019:54:20.
Subpeak RowA RowB
(amu/e) (amu/e) 1 −0.0003 0.26234 0.0003 0.30929 2 0.0026 0.73614 0.0003 0.00093 3 0.0030 0.00152 0.0034 0.68978 Ion M˜ (amu/e) (ions/s) ˜ M (amu/e) (ions/s) 32S2+ 15.9863 9.0 15.9866 5.7 16O+ 15.9944 1282.5 15.9944 1280.8 14NH 2+ 16.0178 31.9 16.0171 34.4 12CH 4+ 16.0302 135.9 16.0291 139.4 Parameter w1 0.00161amu/e 0.00190amu/e w2 0.00403amu/e 0.00456amu/e ˛ 0.1071 0.0768 2.5490 3.6713 Table3
IonsandmassesinHRspectraatm/Z=17.
Ion Mass(amu/e)
16OH+ 17.0022
14NH
3+ 17.0260
Table2liststheparametersthatareretrievedforbothLEDA rows.Typically,w1islargerforrowBthanforrowA;thisisbelieved
tobeduetoslightdifferencesinthefocussingoftheion beam. Hence,rowAisoftenpreferredfordataanalysissinceityieldsa bet-termassresolution.Atthesametime,˛islowerforrowB.Forboth rowsitseemsthatthedeformedpeaksarealreadywelldescribed byonly2doubleGaussians.ForrowA,99.8%ofthesignalis cap-turedbythem,andforrowBmorethan99.9%.Overall,theresults forrowAandBarequitesimilar,leadingtoaquantitative assess-mentoftheimportanceofthefourionsrelativetothemaximum noiselevelfthreshold∼1.5ions/s,aboutthesameforbothrows;note
thattheexposurelastedabout20s.Theendresultrevealsthe con-tributionfrom32S2+.ForrowAanisolated32S2+peakisseen,while
forrowBitformsabumponthelow-massflankofthe16O+peak.
Thisismostlyduetothelargerw1andw2forrowB;thedifference
inthe32S2+peakintensityis30–40%.Thevaluesfortheotherpeaks
differonlybyafewpercent.
Analogously,Fig.6showstheHRm/Z=17spectrumobtained byDFMSon2014-10-2019:54:50(bluecurve),rightaftertheone for m/Z=16. We consideronly 2 basicions, namely16OH+ and
Table4
ResultsforHRspectraatm/Z=17on2014-10-2019:54:50.
Subpeak RowA RowB
J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51 49 14NH
3+inorderofdecreasingimportance,andnoadditionalions; themassesarelistedinTable3.Theoptimisationprocedureis sim-plerthanforthem/Z=16case.Thefigurepanelsshowtheresultsof thesuccessiveoptimisationsteps.Themodelreconstructionofthe deformedspectrumisshowninthefourthpanel,whilethebottom panelgivesthedeconvolvedspectrum.Table4liststheparameters forbothLEDArows.Thecharacteristicparametersw1,w2,˛and
arefoundtobelargelysimilartothoseinTable2.Theintensities
obtainedfromrowsAandBforbothspeciesdifferagainbyonlya fewpercent.4. Discussionandconclusion
TheDoubleFocusingMassSpectrometer(DFMS)ontheRosetta spacecraftisplaguedbyminordeformationofthemasspeaksin thehighresolutionspectraaroundm/Z=16and17.Theshapeof thedeformationslowlychangeswithtime.
Themostlikelycauseisanunstableelectricpotentialinthe elec-trostaticanalyser.Modellingsuggeststhatsuchelectricpotential variationswouldleadtoanapparentshiftofthepeaksonthe detec-torwithoutmodifyingtheactualbeam-formingpattern,atypical double-Gaussianshape.Oneexpectsthatthepeaksobservedafter accumulatingobservationsovera certainperiodof timecanbe approximatedbyalinearcombinationofafewdouble-Gaussians. Infact,two double-Gaussiansoftenseem tocapture99%ofthe signalormore,indicatingthatthepotentialessentiallyalternates betweentwovalues.Byexamininghowthedeformedpeakshape changesacrossthespectrum,ithasbeenpossibletoconfirm,at leasttofirstorder,thatthebeampatternindeedisonlyshifted withoutchangingitsshape.Theanalysispresentedheretherefore appearstocorroboratetheconclusionthatadeviationofthe elec-tricpotentialintheelectrostaticanalyserisindeedthecauseofthe problem.
Atthesametimetheanalysissuggestsatechniqueforcorrecting thepeakdeformation.Analgorithmhasbeendevelopedand imple-mented,andtheresultsforhighresolutionspectraatm/Z=16and 17lookpromising.Inthisway,theprocessingofsuchspectracan beeasilyincorporatedintheDFMSdataanalysischain.Thisgives accesstoafewimportantions,inparticular16O+and16OH+,that
playaroleinthewaterchemistry,whichisessentialfor under-standingthecomposition ofcometary atmospheres.Also, some ionssuchas32S2+becomedetectable,whiletheywouldotherwise
havebeenmissed.Thetypicaldifferencesindouble-Gaussianpeak shapebetweenrowAandBareconsistentlyfoundintheresultsat bothmasses.Theintensitiesobtainedfrombothrowsdifferonly byafewpercent,exceptinthecaseofminorionssuperimposed ontheflanksofamajorpeak,wheretheresultsaremoresensitive. Thereareafewcaveats.First,thetechniquerequiresasufficiently goodmasscalibrationofthegivenspectrum.Also,itishinderedif thepixelgaincorrectionisnotsufficientlyaccurate,sincethatmay affectthepeakshape.Inpractice,theseproblemscanappropriately bedealtwith.
Theunstableelectricpotentialissuethathasbeenstudiedhere forDMFSmassspectrainneutralmodeatm/Z=16and17,will lead todeformationsin thespectraat those masses in theion modeaswell.Thesemaybe,however,muchhardertocorrectsince theshapeoftheenergydistributionoftheparticlesisnotapriori known(contrarytothedouble-Gaussianpeakshapeobtainedin neutralmode).
Acknowledgements
The authors thank the following institutions and agencies, which supportedthis work: Work atBIRA-IASB was supported by the Belgian Science Policy Office via PRODEX/ROSINA PEA 90020andanAdditionalResearchersGrant(MinisterialDecreeof
2014-12-19),aswellasbytheFondsdelaRechercheScientifique grantPDRT.1073.14“Comparativestudyofatmosphericerosion”. WorkatUoBwasfundedbytheStateofBern,theSwissNational ScienceFoundation,andbytheEuropeanSpaceAgencyPRODEX Program.WorkatSouthwestResearchinstitutewassupportedby subcontractno.1496541fromtheJetPropulsionLaboratory.This workhasbeencarriedoutthankstothesupportoftheA*MIDEX project(n◦ANR-11-IDEX-0001-02)fundedbythe“Investissements d’Avenir” FrenchGovernmentprogram, managedby theFrench NationalResearchAgency(ANR).ThisworkwassupportedbyCNES grantsatLATMOSandLPC2E.WorkattheUniversityofMichigan wasfundedbyNASAundercontractJPL-1266313.Theresultsfrom ROSINAwouldnotbepossiblewithouttheworkofthemany engi-neers,technicians,andscientistsinvolved inthemission,inthe Rosettaspacecraft,andintheROSINAinstrumentteamoverthe past20yearswhosecontributionsaregratefullyacknowledged.We thankherewiththeworkofthewholeESA/Rosettateam.Rosetta isanESAmissionwithcontributionsfromitsmemberstatesand NASA. All ROSINA data are available on request until theyare releasedtothePSAarchiveofESAandtothePDSarchiveofNASA.
Appendix. Optimisationprocess
Thisappendixdescribesindetailhowtheoptimisationproblem discussedinthispaperisactuallysolved.
Preprocessingstep
Themass-calibratedandgain-correctedmassspectrumf(m)is knownatasetofdiscretepoints(mi,fi).However,itisclearthat
theunderlyingfunctionfiscontinuouslydifferentiable.Toexploit thisinformationtothefullest,thespectrumisinterpolatedtoa 4×bettermassresolutionusingcubicsplineinterpolation.While thismayseemtoincreasetheamountofcomputationalwork,it leadstoasmootherbehaviourofthetargetfunctionsinthe opti-misationproblemsoutlinedbelowandthustobetterconvergence properties.Itismostappropriatetoperformtheinterpolationon logf.
Step1
Inafirststep,theshapeofthedeformedpeakaroundM1
(usu-allythemostpronounced peakin thespectrum)isdetermined approximatelyasalinearcombinationofJ0double-Gaussians.This
isachievedbyminimisingfunction
F2 1 =
i ˇi⎡
⎣
fi− J0 j=1 jG(mi−(M1+j);w1,w2,˛)⎤
⎦
2 ,wherethesumrunsoverallmeasurementpoints(mi,fi)thatare
withintheunperturbedintervalmi∈[m1,start,m1,stop]andthatare
abovethenoiselevelfi>fthreshold,andwheretheparameterstofit
arew1,w2,˛,{j}and {j}.Thefactor ˇi istheweighting
fac-torthatisassociatedtoeachmeasurement.Choosingˇi=1would
amounttofittingthemeasurementsinabsoluteterms;giventhe highdynamicrangeofthemeasurements(upto3–4decades)one wouldfitthetipofthedeformedpeak,butnotitsflanks. Choos-ingˇi=1/fi2wouldfitthemeasurementsinrelativeterms,which
placesequalweightsonthetipsandtheflanksofthepeaks.Here, theintermediatechoiceˇi=1/fiismade,or,inordertoignoredata
belowthenoisethreshold, ˇi= fi
f2
i +fthreshold2
50 J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51
Theproblemissimplifiedbyfixingw2=2.5w1,mainlytoavoid
situationswithmultiple localminima. We firstsolvethe prob-lemwithasingledouble-Gaussian,J0=1,thusapproximatingthe
deformedpeakwithanon-deformedone;thisisaproblemin1,
1,w1and˛.Wethenprogressivelyadddouble-Gaussiansandtry
toimproveontheoverallfit.Ineachstep,theinitialvaluesforthe minimisationarefoundbyre-using˛|J0 =˛|J0−1,bytakingw1|J0 =
w1|J0−1(J0−1)/J0,andbyadoptingj|J0 =j|J0−1,j=1,...,J0−1
andlocatingJ0wheretheresidualoftheapproximationremains
largest.
Sincethesystem
∂
F21/
∂
j=0,j=1,...,J0 islinear,onefindstheoptimalvaluesofthejforanygivensetof{j},w1,and˛
fromsolvingtheoverdeterminedlinearsystem
J0
j=1 Aijj=bi with Aij =ˇiG(mi−(M1+j);w1,w2,˛), bi=ˇifi.This system is solved in a least-squares sense by making use ofthegeneralised inverseoftherectangularcoefficient matrix. Thissystemisoverdetermined onlyif onekeepsJ0 low; ifnot,
oneis“overfitting”theproblem.Oneshoulddefinitelyneveruse moredouble-Gaussiansthanthenumberofpixelsoverwhichthe deformedpeakissmearedout,andthatnumberisquitelimited (maximum∼10).AnotherreasontolimitJ0istokeepthe
compu-tationalcostdown.ItturnsoutthatusingonlyJ0=2isalreadyavery
goodchoice.InviewoftheresultsfoundinFig.4(leftcolumn),this suggeststhattheoscillatingelectricfieldisactuallybetter repre-sentedbyasquarewavethanasinusoidalone.
Afterthefittingprocessends,thecoefficientsarenormalised, j= j
jj ,sothattheycanbeusedintheexpressionforthepeakshapeof Eq.(3).
Step2
Inthesecondstep,wedeterminetheparameter.Thisisdone byapplying thepeak shape foundin thefirst step toall basic ions;ifonlyonebasicionmassisgiven,parametervalue=0is adopted.Thevalueofcanonlybeestablishedwhile simultane-ouslydetermining ˜Mkand
kforallbasicions.Thetargetfunctiontobeminimisedis F2 2=
i ˇifi− K k=1 kPk(mi;{j},{j},w1,w2,˛,) 2 ,
where {j}, {j}, w1, w2, and ˛ are the values obtained
from the previous step. The sum runs over all points mi∈
k=1,...,K[mk,start,mk,stop]forwhichthemeasuredsignalisabove
thenoiselevel.Thesameweightingfactorˇiisusedasbefore.
Forgivenand ˜Mk,onecanfindthe
kfromthelinearsystem∂
F22/
∂
k=0,k=1,...,K.TheoverdeterminedsystemisgivenbyAij =ˇiPk(m;{j},{j},w1,w2,˛,),
bi=ˇifi.
Attheendofthisstep,aninitialrepresentationofthedeformed peakandhowitchangesacrossthespectrumisestablished.
Step3
Inthethirdstepthedeformedpeakshapeisimprovedbyadding double-Gaussianstotherepresentation.Atthesametime,the val-uesofw1,w2(whichisnownolongertiedtothatofw1),˛and
areimproved.Thesetof{j}and{j}isprogressivelyextended
andoptimised,andalso{ ˜Mk}and{
k}arefine-tuned.Thisisdonewhilerepeatedlyfitting
F2 3=F22+
⎛
⎝
j j−1⎞
⎠
2 +c w2/w1 2.50 −1 2overthesamesetofpointsasinstep2.Thefirstadditionalterm inthetargetfunctionservestoensurethenormalisationofthej
(ifnot,thesolutionisnotuniquelydefinedandtheoptimisation problemisboundnottoconverge).Thesecondadditionalterm, with0≤c1,guidesthevalueofw2relativetow1inorderto
reg-ularisetheproblem,whereadefaultvaluew2/w1=2.50isused.In
theexpressionforthedeformedpeakshapethenumberof double-GaussiansisprogressivelyincreasedtoafinalvalueJ≤J0;avalue
ofonlyJ=3isusedroutinely.Notethatthisoptimisationprocess againcanbenefitfromestablishingthevaluesof
kfromanoverde-terminedlinearsystemforgivenvaluesofallotherparameters. Thisthirdstepiscomputationallydemandingsincemostofthe problemparametersaretobeoptimisedsimultaneously.Thegoal ofstep1and2isexactlytoprovideagoodinitialsolutionforthebig optimisationproblemofstep3.First,givenagoodinitialsolution, theamountofworkneededtofindtheoptimumremainslimited. Second,sincetheproblemissononlinear,agoodinitialsolutionin theneighbourhoodoftheglobaloptimumisaprerequisitetofind thatglobaloptimumwithoutgettingstuckinsomelocalminimum. Step4
Theresultfromthepreviousstepisanaccuraterepresentation ofthedeformedpeaksandhowtheychangeacrossthespectrum. Thiscannowbeusedtofitthefulldeformedspectrum,including alsotheadditionalions.Thetargetfunctionis
F2 4=
i ˇifi− K k=1 kPk(mi;{j},{j},w1,w2,˛,) 2
wherethesumnowrunsoverallKionsandoverallpoints(mi,fi)in
thespectrum.Theunknownsarethe ˜Mk(except ˜M1=M1)and
k;allotherquantitiesaregiven.Again,foranysetofvalues{ ˜Mk}one
canobtainthe
kfromtheoverdeterminedlinearsystemalreadyusedinstep2. Postprocessingstep
Asalreadyoutlined,oncealltheparametershavebeen com-puted, it is possible to determine the deconvolved spectrum fdeconvolvedaccordingtoEq.(5),interpolatedbacktotheoriginal
massscale.Thecorrectedspectrumisdefinedas fcorrected=(fdeconvolved+fnoise)+(1−)f,
thatis,alinearcombinationofthedeconvolvedspectrum(adding theaveragenoiselevel)andtheobservedspectrum,wherevaries between0and 1dependingonhowmuch theobservationsare abovethenoiselevel;here,thechoice
J.DeKeyseretal./InternationalJournalofMassSpectrometry393(2015)41–51 51
Optimisationtechnique
Theoptimisationtechniqueusedisacombinationofa stochas-ticsearchmethodthatprobestheenvironment ofacurrentset ofparametervalues,andtheBroyden–Fletcher–Goldfarb–Shanno algorithm[13,14]thatstartsasasteepestdescenttechniqueand progressivelyevolvestotheNewtonalgorithmasitcollects infor-mationabouttheHessianofthetargetfunctionneartheoptimum. Toimprovethenumericalbehaviour,theoptimisationparameters arejudiciouslyrescaled.
Theoptimisationstrategyalsoallowstoimposeboundsonsome oftheparameters.Ifaparameterpshouldnotexceedalimitvalue p*,thetargetfunctionF(p)ismodifiedinto
F(p)=F(min{p,p∗))[1+(max{p−p∗,0})2
],
sothatF(p)≡F(p)insidethealloweddomain,andF(p)>F(p*)
out-side.Inpractice,suchboundshavebeenintroducedsothat 0.50w0≤ w1 ≤2w0,
1.25w0≤ w2 ≤5w0,
0.075≤ ˛ ≤0.30, 0≤ .
Furthermore,precautionshavebeentakentokeepall ˜Mkcloseto
thecorrespondingMk,andtokeepallj≥0and
k≥0. AppendixA. SupplementarydataSupplementarydataassociatedwiththisarticlecanbefound,in theonlineversion,athttp://dx.doi.org/10.1016/j.ijms.2015.10.010 References
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