航天,航天器,航天器环境,空间辐射
isproportionaltosolaractivity(Wolfnumbers)(Nym-mik,1999b,c)andthat,whennormalizedtosolaractiv-ity,theeventsizedistributionfunctionisinvariantofsolaractivity(Nymmik,1999a,c).Theunderstandingimpliesthatneitherdi erencesinsolarcyclesnorre-movaloftheSEPoccurrencemomentfromsolarmaxi-mumorminimumcana ectreliablyboththeSEPeventoccurrencefrequencyandtheSEPeventsize(Nymmik,1999b).
3.Whatnaturegivesusandwhatwegetfrommeasurements3.1.Analysismethod
First,letthedi erencebedemonstratedbetweentheSEP uencecharacteristicsandtheirmeasuredcounter-partsthatarisefromthelimitationsofSEP uxmea-surementsagainstthegalacticbackground.Itisimportanttoemphasizethatthedistortionsintheparti-cle uencemodelcharacteristicsarisewhenthedatabaseisselectedbypeak uxsizes.
Withthispurpose,theprocessofrecordingasetofSEPeventsshouldbesimulatedmathematically.Thein-putSEPeventdistributionofP30MeVproton uencesistakentobeapower-lawfunction,whoseformhasbeendeterminedin(Nymmik,1999c)forSEPevents:
dN1.41
dUdT¼Const
UÀ3030Áexp
U;ð1Þ
Uc
whereUc=4Æ109protons/cm2describestheturno ofthefunctionsathigh uencesizes.
Conformingtothefunction(1),weusedtheMonte-CarlotechniquetoinfertherandomsizesoftheSEPeventproton uences.
Theeventcharacteristic,whichindicateswhetheraneventcanberecorded,isthepeakSEP uxFanditsex-cessoverthegalacticcosmicraybackground,ratherthantheevent uence.Theeventswithidentical uencesizesU30canhavebothlarge(theimpulsiveevents)andsmall(thegradualevents)peak uxsizes.Theexperi-mentaldataanalysis(Nymmik,1995)hasshownthatthespectralcoe cientCFofthepeakproton uxesisdistributedarounditsmeanvalue
hC¼0.008Á U30
Fiprotons=ðcm2106
srsMeVÞð2Þwiththemeansquaredeviationoflog-normaldistribu-tionr1gCF¼0.45.TheenergyspectraofP30MeVpro-tonsarebestdescribedbythepower-lawfunctionofparticlemomentum(orrigidityinthecaseofprotons)(seeMottletal.,2001;MottlandNymmik,2003b,forexample):
dF p Àc
dE
dE¼CFp;ð3Þ0whereb¼p=qp
¼p b
EðEþ2mc2Þ
isprotonmomentum;p2þðmc2Þ2
isrelativevelocity;p0=239MV(E=30MeV).
Thespectralindicesofthepower-lawspectrumforseparateeventswereproposedandwerecalculatedtoberandomanddistributedaroundmeanvalueÆcæ=5.8(lgÆcæ=0.76)withmeansquaredeviationoflognormaldistribution,r1gr=0.17.
Theabove-presentedformulaepermitustocalculatethe uencesandpeak uxesofprotonsforanyrandomSEPeventofrandomsizeU30andrandomspectralindexc.
Comparingthepeak uxesofdi erent-energypro-tonsfromdi erentSEPeventswiththegalacticcosmicray uxes,wecandeterminewhethertheSEPeventpar-ticlescanbeseparatedfromthegalacticbackgroundandwhetheragiveneventcanbeeliminatedfromtheanalysisbecauseitisinconsistentwiththeselectioncriterion.
3.2.Distortionofthedistributionfunction
Accordingtothedistribution(1),wegenerated104randomSEPeventswithU30P106.
EachofthecalculatedSEPeventdi erentialpeak uxenergyspectra(3)wasintegratedandcomparedwiththreethresholdvaluesasshowninFig.3forthe rst10eventsgenerated.Fig.3showstheintegralen-ergyspectraofpeakproton uxesfor10randomSEPeventswithsizeU30P106protons/cm2calculatedbytheMonte-Carlotechniqueintermsofthedistribution(2).The gureshowsalsotheintegralenergy
spectra