SOLAR WIND IRON ISOTOPIC ABUNDANCES: RESULTS FROM SOHO/CELIAS/MTOF KM. Ipavich*, J.A. Paquette*, P. Bochsler1^, S.E. Lasley* and P. Wurzf "Department of Physics, University of Maryland, College Park, MD, USA 20742 ^ Physikalisches Institut der Universitdt Bern, Switzerland, CH3012 Abstract. The MTOF sensor uses time of flight measurements in a harmonic potential region to identify elements and isotopes in the solar wind with excellent mass resolution. The combination of MTOF's large bandwidth electrostatic deflection system and the 3-axis stabilized orientation of SOHO results in excellent counting statistics. We report relative abundances of the iron isotopes with mass 54, 56 and 57 amu. Since these isotopes are chemically identical, we expect little fractionation either in the solar wind or in the instrument, resulting in relatively small estimated uncertainties. Our results agree, within the measurement uncertainties, with terrestrial values. INTRODUCTION (CELIAS) Experiment [4] on the Solar Heliospheric Observatory (SOHO) spacecraft. CELIAS uses three timeof-flight (TOF) sensors to make composition measurements. MTOF has unprecedented mass resolution and collection power for solar wind composition studies, and can identify rare elements and isotopes that were previously not resolvable from more abundant neighboring species, or were not previously observable at all. Observations of rare elements and isotopes in the solar wind are important because they help determine how neutral atoms in the relatively cool photosphere become the highly ionized atoms in the corona and then ultimately the supersonic plasma we call the solar wind. The results will also help establish the isotopic composition of the primordial solar nebula. The good agreement of photospheric and meteoritic abundances [1] for a wide range of refractory and moderately volatile elements are consistent with a common origin of solar and planetary matter. The Sun is considered to contain a largely unfractionated sample of matter from the protosolar nebula; hence knowledge of solar composition can reveal the composition of the local interstellar medium some 4.6 Gy ago, and as well shed light on the chemical and isotopic evolution of planetary matter [2]. The solar wind composition is expected to be that of the solar outer convective zone, differing only as a result of possible fractionation processes. Elemental composition is subject to the well-known fractionation process ordered by the first ionization potential [3], reflecting the separation of neutrals and ions in the upper chromosphere; the magnitude of this fractionation is of order 3 or so in the slow solar wind. Isotopic composition is, however, not subject to this fractionation process; typical isotopic fractionation is expected to be at the percent level. The Mass Time-of-Flight Spectrometer (MTOF) is one of four sensors (CTOF, MTOF, STOP, SEM) comprising the Charge, Element, Isotope Analysis System INSTRUMENTATION The Mass Time-Of-Flight (MTOF) sensor of the CELIAS investigation is actually two subsensors. The MTOF/Main is the primary unit, providing elemental and isotopic abundance measurements of heavy ions in the solar wind. The MTOF/Proton Monitor is an auxiliary unit designed to measure the solar wind proton parameters. Both units are housed within a common structure which also contains the low voltage power converter, the high voltage power supplies, the analog electronics, and the digital electronics. The MTOF Main Sensor The MTOF Main Sensor (illustrated in Figure 1) is a high-mass (M/AM w 100) resolution system that provides unprecedented solar wind composition data over a wide range of solar wind conditions. The high sensitivity of MTOF allows for the first time an accurate determi- CP598, Solar and Galactic Composition, edited by R. F. Wimmer-Schweingruber © 2001 American Institute of Physics 0-7354-0042-3/017$ 18.00 121 WAVE E/Q selection SOLAR SOLAE WIND WIND ION E, E Q, M techniques. MTOF also generates a 2 to 3 order of magnitude improvement in counting statistics, thanks to: (a) the fact that SOHO always looks in the the solar solar direction direction (unlike the spinning WIND spacecraft); spacecraft); and (b) a novel entrance deflection system with a very wide bandwidth (400% vs. the more typical 5% in other solar wind instruments), requiring only a few voltage steps to to cover cover the the entire energy-per-charge distribution of the solar wind. As a consequence of the very wide deflection deflection system dispassband, MTOF cannot determine the charge state distribution of solar wind ions. The MASS and MTOF sensors were designed designed and and fabricated by the University of Maryland; their entrance deflection systems were built by the the University University of of Bern, Bern, which also provided the primary calibration facility facility for these instruments. UV Trap Carbon Foil CP n Io M e- ns Io TOF α M/Q* a St M rt CP THE THE MTOF MTOF TOF TOF SYSTEM SYSTEM The heart of the MTOF sensor is the time-of-flight time-of-flight High Mass Resolution Spectrometer (HMRS). The prinprincipal of operation of the HMRS is based on the fact fact that the time of flight t of an ion of mass M is proportional to ^M/q* M q in the presence of an electric field field that that increases increases linearly with distance. Here q* q is is the the ion's ion’s charge charge after after penetrating a thin carbon foil. Hence, the measurement for individual individual of t gives unambiguous values of M/q* M q for field is produced by a combiions. The required electric field nation of of aa hyperbolic set at at aa large nation hyperbolic plate plate set large positive positive voltage voltage VHH (typically (typically 20 V 20 to to 25 25 kV) kV) and and aa V-shaped V-shaped plate plate at at ground ground potential. The high potential. The high mass mass resolution resolution of of the the MTOF MTOF sensor sensor is due due to is to the the fact fact that that tt is is independent independent of of the the ion ion energy energy and the the angle angle at at which and which the the ion ion enters enters the the HMRS HMRS electric electric field. The value of VH determines the maximum ion enenfield. The value of VH determines the maximum ion ergy that can be deflected by the electric field, but ergy that can be deflected by the electric field, but does does not affect affect the not the mass mass resolution. resolution. Since Since tt can can be be measured measured with the fraction of nanosecond, high with the precision precision of of aa fraction of aa nanosecond, high mass resolution mass resolution is is achieved. achieved. Figure Figure 22 displays displays aa specspectrum, where where the trum, the TOF TOF has has been been converted converted into into mass mass units, units, near the the mass near mass range range of of iron. iron. The practical The practical implementation implementation of of the the HMRS HMRS requires requires an accurate measurement of t and the an accurate measurement of t and the conversion conversion of of multiply-charged solar solar wind multiply-charged wind ions ions into into singly-charged singly-charged ions. This This is accomplished with ions. is accomplished with aa combination combination of of mimicrochannel plate (MCP) detectors and a thin carbon crochannel plate (MCP) detectors and a thin carbon foil foil at the the entrance at entrance to to the the HMRS HMRS electric-field electric-field region. region. Ions Ions passing through the foil undergo a large number passing through the foil undergo a large number of of colcollisions with lisions with the the carbon carbon atoms, atoms, resulting resulting in in some some energy energy loss, moderate scattering, and loss, moderate scattering, and charge charge exchange. exchange. As As aa reresult of the charge exchange, ions with initial charge sult of the charge exchange, ions with initial charge state state emerge from from the the foil foil with with charge charge state state q*, qq emerge q , where where q* q isis typically 0 or +1. As the ions leave the foil they also typically 0 or +1. As the ions leave the foil they also proproduce secondary secondary electrons electrons that duce that are are deflected deflected to to aa "Start" “Start” MCP assembly assembly that MCP that generates generates aa start start signal signal for for the the timetime- Neutrals TOFa/E*/M α E*/M TOF N eutral M Neutral MCP CP F.I. / UMD MTOF FIGURE 1.1. Schematic Schematic of of the the MTOF MTOF (Mass (Mass Time of Flight) FIGURE Instrument. Solar Solar wind wind ions ions enter enter through through an an energy/charge energy/charge Instrument. filter (the (the WAVE) WAVE) and and pass pass through through aa carbon carbon foil, foil, leaving leaving them them filter . They withaacharge charge state state qcf. They then then enter enter aa region region where where aa special special with electric field field bends bends those those with with qq* > 00 down down to to aa microchannel microchannel electric plate. For For an an ion ion of of mass mass M, M, the the time time of of flight flight in in this this region plate. region is is ∝ M q . nation of of the the abundances abundances of of many many of of the the elements elements and and nation isotopes in the solar wind. The MTOF sensor consists of isotopes in the solar wind. The MTOF sensor consists of the Wide-Angle, Variable Energy/charge (WAVE) passthe Wide-Angle, Variable Energy/charge (WAVE) passbanddeflection deflection system system and and the the time-of-flight time-of-flight High-Mass High-Mass band Resolution Spectrometer (HMRS). Resolution Spectrometer (HMRS). MTOF owes owes its its excellent excellent mass mass resolution resolution capability capability MTOF to aa specially specially designed designed electric electric field field configuration configuration in in to its time-of-flight time-of-flight region. region. An An ion’s ion's time-of-flight time-of-flight through through its this region region isis independent independent of of its its initial initial energy energy or or angle. angle. this Sub-nanosecond TOF measurements translate into mass Sub-nanosecond TOF measurements translate into mass resolutions of a fraction of an AMU. resolutions of a fraction of an AMU. A prototype prototype of of the the MTOF MTOF sensor, sensor, known known as as MASS, MASS, A was flown on the WIND spacecraft (launched about was flown on the WIND spacecraft (launched about aa year before before SOHO), SOHO), and and was was able able to to identify identify aa number number year of elements and isotopes for the first time. The MTOF of elements and isotopes for the first time. The MTOF sensor incorporates a number of enhancements over its sensor incorporates a number of enhancements over its prototype, including position-sensing and signal ampliprototype, including position-sensing and signal amplitude measurements, measurements, and and improved improved background-rejection background-rejection tude 122 16Feb96 to 19Feb96 HPS=18.1 kV 16Feb96 to 19Feb96 HPS=18.1kV 11 ch/bin, eh/bin, Pos>0.5, Pos>0.5, Weq=9.8kV, Weq=9.8kV, Vf=0 V£=0kV kV MTOF The The MTOF MTOFProton ProtonMonitor MonitorSubSensor SubSensor The TheMTOF MTOFProton ProtonMonitor Monitor(PM) (PM)isisdesigned designedtotomeameasure the solar wind proton bulk speed, density sure the solar wind proton bulk speed, densityand andtherthermal mal speed. speed. The The bulk bulkspeed speed(and, (and,totoa alesser lesserextent, extent,the the thermal thermalspeed) speed)isisnecessary necessarytotothe theevaluation evaluationofofdata datafrom from the the main main MTOF MTOFsensor. sensor.The ThePM PMisisdescribed describedinindetail detail elsewhere elsewhere[5]. [5]. SOHO/CELIAS 1000 1000- counts MAXIMUM MAXIMUMLIKELIHOOD LIKELIHOODTECHNIQUE TECHNIQUE I The Thecounting countingrates ratesininaaseries seriesofofTime TimeofofFlight FlightChannels Channels were simulated using a maximum likelihood were simulated using a maximum likelihoodtechnique. technique. In Inthis thistechnique, technique,the thesimulated simulatedcount countrate rateinina aparticular particular channel was taken as the mean, µ i , of a Poisson distribuchannel was taken as the mean, ///, of a Poisson distribution. Assuming that this Poisson distribution is the parent tion. Assuming that this Poisson distribution is the parent distribution from which the measurements were derived, distribution from which the measurements were derived, the probability that any given number of counts N i was the probability that any given number of counts Nj was observed in that channel is 100 observed in that channel is 51 52 53 54 55 56 57 58 59 60 61 60 61 PPi i µNi i e Ni ! e µi m w ~ The probability that the measured TOF spectrum was Mass The probability that the measured TOF spectrum was observed, given the assumptions in the simulation, is observed, given the assumptions in the simulation, is simply the product of the probabilities for each channel: simply the product of the probabilities for each channel: FIGURE 2. Observed solar wind mass spectrum accumuFIGURE Observed solar lated over a2.3 day period in 1996wind mass spectrum accumu- lated over a 3 day period in 1996 PTot of-flight analysis. The “stop” signal for particles with q of-flight analysis.atThe "stop" large signalarea for particles withasq* > 0 is generated a second “Ion” MCP >sembly 0 is generated at a second large area "Ion" MCP aslocated behind the ground surface of the electric sembly located ground of thesignal electric 0, the “stop” is field region; for behind particlesthewith q = surface field region; with q* = 0, the "stop" signal is generated byfor theparticles “Neutral” MCP. generated by thefor"Neutral" The anodes all three MCP. MCPs provide not only the The anodes for all three provide not onlythat the required timing signals, but MCPs also amplitude signals required timing signals, but also amplitude signals that are pulse height-analyzed by the electronics. These amare pulsesignals height-analyzed by information the electronics. These amplitude provide some about particle plitude signals provide some information about particle mass and energy. In addition, the Neutral and Ion MCP mass and energy. In addition, position the Neutral and Ion MCP anodes provide 1-dimensional information. The anodes The Neutralprovide position1-dimensional is a measure ofposition the solarinformation. wind ion’s flow Neutral is a measure of the useful solar wind ion's flow directionposition in the solar ecliptic plane, for interpretadirection the solar ecliptic plane, usefulusfor interpretation of theindata. The Ion position allows to determine tion of the data. The Ion position allows us to determine the E q of an ion, and is also useful for rejecting backthe E/q of an ion, and is also useful for rejecting background events. ground events. The entire HMRS is maintained at a ‘floating’ voltage, entire HMRS at asolar 'floating' VFThe , in the range -5 tois+5maintained kV. For high wind voltage, speeds, VF, in the range -5 to +5 kV. Forions highsosolar a positive VF decelerates heavy thatwind they speeds, can be adeflected positive by VF the decelerates heavy ionsand so detected that they by canthe be hyperbola voltage deflected hyperbola voltage detectedVby the Ion MCP.by Forthe low solar wind speedsand a negative F will Ion MCP. For low before solar wind speedsthe a negative VF and will accelerate the ions they reach carbon foil, accelerate the ionsthe before they reach thedetection carbon foil, and thereby improve efficiency of their in the thereby improve the efficiency of their detection in the HMRS. HMRS. ∏ Pi The goal of is to maximize this probability by altering goal of is maximize this probability by altering theThe parameters oftothe model function, thus altering the the parameters of the model function, thus altering the µi . In practice, it is easier and equivalent to deal with the fa. In practice, it is easier and equivalent to deal with the natural log of this expression: natural log of this expression: lnPTot ∑ Ni lnµi µi lnNi ! i A constrained minimization routine (E04KDF from constrained minimization routine (E04KDF from theA NAG Library; see [6]) was used to minimize the negthe NAG Library; see [6]) was used to minimize the negative logarithm of the probability (equivalent to maxiative logarithm of the probability (equivalent to maximizing the positive logarithm.) mizing the positive logarithm.) The model function used had 24 parameters. Fourteen The model function used 24 parameters. Fourteen of these were the heights of had the peaks corresponding to of these48, were of the corresponding masses 49, the andheights 52-63. Of the peaks remaining 10, two de-to masses a48, 49, background, and 52-63. Of thewere remaining two described linear two needed 10, to convert scribed a linear background, two were needed to convert from mass to time of flight channel, two were associfrom mass to time of flight channel, two were associated with peaks caused by electronic “ringing” and the ated with peaks caused by electronic "ringing" and the remaining 4 described the shape and width of the peaks. remaining described shape was and awidth of theasympeaks. The form of4 the model the function modified The form of the model function was a modified asymmetric Lorentzian: metric Lorentzian: A 1 X X0 Γn where A is the amplitude (in counts) for each of the 14 where A isand theXamplitude (inlocation counts) (in for time each of of flight the 14 mass values, 0 is the peak mass values, and XQ is the peak location (in time of flight 123 SOHO/CELIAS/MTOF SOHO/CELIAS/MTOF SOHO/CELIAS/MTOF channel channelnumber) number)that thatisisisderived derivedfrom fromthe themass massvalues. values. channel number) that derived from the mass values. The exponent, n, and the half width at half The exponent, n, and the half width at half maximum, The exponent, n, and the half width at half maximum, maximum, Γ, arethe thesame samefor forall allspecies, species,but butare areallowed allowedto to be be F,Γ,are are the same for all species, but are allowed to be different on either side of the peak. different on either side of the peak. different on either side of the peak. Interstream Interstream---DOY DOY304 304to to308(08UT) 308(08UT)1998 1998 Interstream DOY 304 to 308(08UT) 1998 Positions Positions>>>0.4 0.4 Vsw: Vsw:400 400km/s km/s Positions 0.4 Vsw: 400 km/s Measured Measured Counts Counts Simulated Simulated Counts Counts 1000 1000 OBSERVATIONS OBSERVATIONS OBSERVATIONS 700 700 SoHO/CELIAS/MTOF SoHO/CELIAS/MTOF SoHO/CELIAS/MTOF 500 500 300 300 15 15 10 10 5 100 100 10 10 46 46 48 48 50 50 52 52 54 54 56 56 58 58 60 60 62 62 64 64 66 66 68 68 Mass(amu) (amu) Mass Mass (amu) FIGURE4. 4. Mass Mass spectrum spectrum accumulated accumulated during during the the shaded shaded FIGURE FIGURE 4. Mass spectrum accumulated time period indicated in Figure 3. The fit from the maximum time period indicated in Figure 3. The fit from the maximum time period indicated in 3. The fit likelihoodtechnique techniqueisisindicated indicated by by the the solid solid line. line. likelihood likelihood technique ProtonMonitor Monitor Proton Proton Monitor Interstream Interstream Time Time Period Period 600 600 400 400 Counts Counts The Themass massspectrum spectrumdisplayed displayedin inFigure Figure222was wasaccumuaccumuThe mass spectrum displayed in Figure was accumulated latedover overaaa333day daytime timeperiod periodin inFebruary February1996 1996during lated over day time period in February 1996 during whichtime timethe thesolar solarwind windwas wasof ofaaanondescript nondescriptinterinterwhich which time the solar wind was of nondescript interstreamtype. type.The Themaximum maximumlikelihood likelihoodtechnique techniquewas wasapapstream stream type. The maximum likelihood technique was appliedto derivethe theabundance abundanceratios ratiosof ofthe theFe Feisotopes. isotopes. plied plied totoderive derive the abundance ratios of the Fe isotopes. Theseabundance abundanceratios ratiosare arethen thencorrected correctedby bythe theratios ratiosof of These These abundance ratios are then corrected by the ratios of instrument efficiencies for these isotopes. The efficiency instrument efficiencies for these isotopes. The efficiency instrument efficiencies for these isotopes. The efficiency correctionsdepend dependweakly weaklyon onthe thesolar solarwind windspeed speedand and corrections corrections depend weakly on the solar wind speed and temperature, the deflection system and hyperbolic plate temperature, the deflection system and hyperbolic plate temperature, the deflection system and hyperbolic plate voltagesettings, settings,and andthe theincident incidentcharge chargestate statedistribudistribuvoltage voltage settings, and the incident charge state distributionsof theFe Feions, ions,and andwere werein therange rangeof of1% 1%to to4% 4% tions tions ofofthe the Fe ions, and were ininthe the range of 1% to 4% forthe thetime timeintervals intervalsselected selectedfor forthis thispaper. paper. for for the time intervals selected for this paper. Thesolar solarwind windbehavior behaviorduring duringanother anotherinterstream interstream The The solar wind behavior during another interstream time period is shown in Figure 3. The mass spectrum time time period period isis shown shown inin Figure Figure 3.3. The The mass mass spectrum spectrum accumulated during this time interval is displayed in accumulated accumulated during during this this time time interval interval isis displayed displayed inin Figure 4. Figure Figure4.4. larwind windspeed speedwas was between between 380 380 and and 400 400 km/s km/s were inlar lar wind speed was between 380 and 400 km/s were were inincluded. This was done in order to minimize the variation cluded. cluded. This This was was done done in in order order to to minimize minimize the the variation variation ofthe therelative relativeefficiencies. efficiencies. of of the relative efficiencies. Solar Wind Speed Solar Wind Speed (km/s) (km/s) Proton Density Proton Density (1/cm^3) (1/cm^3) RESULTS RESULTS RESULTS 5 54 56 54Fe56 Theefficiency-corrected efficiency-correctedratios ratiosderived derivedfor for Fe and The /Fe Fe and The efficiency-corrected ratios derived forFe Fe54 57 56 57 Fe56 56 in the 4 intervals discussed above are preFe 57 Fe Fe in Fe /Fe in the the 44 intervals intervals discussed discussed above above are are presented in in Figure Figure 555 and and Figure Figure 6, 6, respectively. respectively. In In each sented sented in Figure and Figure 6, respectively. In each each figure the terrestrial value from [7] is indicated by the figure figure the the terrestrial terrestrial value value from from [7] [7] isis indicated indicated by by the the solid horizontal line. solid solid horizontal horizontal line. line. Theresults resultsaveraged averagedover overall all 44 4 time time periods are shown The The results averaged over all time periods periods are areshown shown in Table 1, along with the accepted terrestrial values in in Table Table 1,1, along along with with the the accepted accepted terrestrial terrestrial values values from [7]. [7]. Oetliker Oetliker et et al. al. [8] [8] derived solar wind Fe isofrom from [7]. Oetliker et al. [8] derived derived solar solar wind wind Fe Fe isoisotopic ratios using the Wind/MASS sensor. Their results topic ratios ratios using using the the Wind/MASS Wind/MASS sensor. sensor. Their Their results topic have larger uncertainties but are in agreement with the have larger larger uncertainties uncertainties but but are are in in agreement agreement with with the the have present work. They obtained a value (in percent) of 8.5 present work. work. They They54obtained obtained value (in (in percent) percent) of of 8.5 8.5 present aa value 56 (+0.5, -2.2) for Fe54 Fe56 and an upper limit of 5% for (+0.5, -2.2) for Fe Fe54/Fe limit of 5% 5% for for (+0.5, -2.2) for Fe 56 and an upper limit 57 56 Fe Fe56 56 . Fe5757/Fe Fe Fe .. The Fe isotope ratios in Table 1 are, within the meaThe Fe Fe isotope isotope ratios ratios in in Table Table 11 are, are, within within the the meameaThe surement uncertainties, consistent with no fractionation surement uncertainties, uncertainties, consistent consistent with with no no fractionation fractionation surement of Fe isotopes in the solar wind. They are however also of Fe Fe isotopes isotopes in in the the solar solar wind. wind. They They are are however also also of consistent with a modest fractionation effect. A mass deconsistent with with aa modest modest fractionation fractionation effect. effect. A A mass mass dedeconsistent pendent isotopic fractionation has been reported for Ne, pendent isotopic isotopic fractionation fractionation has has been been reported reported for for Ne, Ne, pendent Mg and Si [9], with the heavier isotope depleted in the Mg and and Si Si [9], [9], with with the the heavier heavier isotope isotope depleted depleted in in the the Mg slow solar wind. The average magnitude of this effect slow solar solar wind. wind. The The average average magnitude magnitude of of this this effect effect slow 0 0 100 100 80 80 60 60 40 Thermal Speed 40 Thermal Speed (km/s) 20 (km/s) 20 4 4 2 2 0 0 -2 -2 N/S Flow Angle (deg) -4 N/S Flow Angle (deg) -4 301 302 303 304 305 306 307 301 302 303 304 (28 305Oct306 306 307 301 302 303 305 307 DOY 304 1998 to 5 Nov) DOY 1998 1998 (28 (28 Oct Oct to to 55 Nov) Nov) DOY 308 308 308 309 309 309 FIGURE 3. Solar wind behavior during a typical interstream FIGURE Solarwind windbehavior behaviorduring during aatypical typical interstream interstream FIGURE 3.3. Solar time period. timeperiod. period. time In addition to the two individual time periods disIn addition addition toto the the two two individual individual time time periods periods disdisIn cussed above, mass spectra have also been obtained for cussed above, above,mass mass spectra spectra have have also also been been obtained obtained for for cussed two 12-month time periods (April 1996 to March 1997 two 12-month 12-month time time periods periods (April (April 1996 1996 to to March March 1997 1997 two and March 1997 to March 1998). For both 12-month and March March 1997 1997 toto March March 1998). 1998). For For both both 12-month 12-month and periods, only those 5-minute intervals in which the soperiods, only only those those 5-minute 5-minute intervals intervals inin which which the the sosoperiods, 124 SOHO/CELIAS/MTOF SOHO/CELIAS/MTOF SOHO/CELIAS/MTOF SOHO/CELIAS/MTOF 8.0 4.0 4.0 8.0- Fe57/Fe56 Fe57/Fe56 Fe54/Fe56 Fe54/Fef>6 7.5 7.5- Fe57/Fe56 (%) Fe54/Fe56 (%) 3.0 3.0- 7.0 7.0- I Terrestrial Terrestrial 2.0 2 -° 6.5 6.5Terrestrial Terrestrial 1.0 1.0- 6.0 6.01996 1996 047-050 047-050 Vsw=380 5.5 Vsw=380 5.5- IT Apr 1996Apr 1996Mar 1997 Mar 1997 Vsw=390 Vsw=390 I Mar 1997 Mar 1998 1997 Mar Mar 1998 Vsw=390 1998 1998 304-308 304-308 Vsw=400 I IT Vsw=390 Fe54 54 1996 1996 047-050 047-050 Vsw=380 Vsw=400 0.0 0.0 Fe56 56 Fe Fe Isotopic Isotopic Ratio Ratio (in (inpercent) percent) Fe /Fe 57 Fe56 Fe 56 Fe57/Fe This This Work Work 66.8 8 ±0.4 04 Terrestrial Terrestrial* 6.37 6.37 22.5 5 ±0.5 05 2.31 2.31 Vsw=390 1998 1998 304-308 304-308 Vsw=400 Vsw=390 Vsw=400 I I Fe56 56 FIGURE FIGURE 6. 6. The The derived derived ratios ratios of of Fe to to Fe obtained obtained during during 44 distinct distinct time time intervals. intervals. The The error error bars bars denote denote 1-σ 1-a uncertainties. uncertainties. The The terrestrial terrestrial value value isis indicated indicated by by the the solid solid horizontal horizontal line. line. TABLE TABLE 1. 1. Iron Iron Isotopic Isotopic Abundance Abundance Ratios Ratios Fe56 56 IT Mar 1997 Mar 1998 1997 Mar Mar 1998 Vsw=390 Fe5757 FIGURE FIGURE 5. 5. The The derived derived ratios ratios of of Fe to to Fe obtained obtained during during 44 distinct distinct time time intervals. intervals. The The error error bars bars denote denote 1-σ 1-a uncertainties uncertainties and and are are dominated dominated by by systematic systematic effects. effects. The The terrestrial terrestrial value value isis indicated indicated by by the the solid solid horizontal horizontal line. line. Fe5454 Vsw=380 Apr 1996Apr 1997 1996Mar Mar 1997 Vsw=390 Beard and Johnson, 1999 Beard and Johnson, 1999 was was reported reported to to be be approximately approximately 1.4% 1.4% per per amu. amu.The TheFe Fe isotopic measurements reported here were all obtained isotopic measurements reported here were all obtained from from such such slow slow solar solar wind windflows. flows. The Thefractionation fractionationeffect effect from [9] would predict an enhancement ofofsome 2.8% for from [9] would predict an enhancement some 2.8% for 54 54Fe56 56 relative to the unfractionated solar composiFe Fe /Fe relative to the unfractionated solar composition, tion, aa result result also also consistent consistent with with our our observed observed enhanceenhance 6 % above the terrestrial ment of about (7 ment of about (7 ± 6)% above the terrestrialvalue. value. The The current current uncertainties uncertainties in in the the isotope isotope ratios ratios prepresented in this paper are dominated by systematic sented in this paper are dominated by systematiceffects. effects. One of One such such effect effect isis the the lack lack of of knowledge knowledge of the the precise precise 56 56 at TOF values that shape of the TOF spectrum of Fe shape of the TOP spectrum of Fe at TOP values that are are far far from from the the most most probable probable value. value. We Weare are attempting attempting to improve our knowledge of the response to improve our knowledge of the response in in the the wings wings of the TOF distribution by calibrating the MTOF of the TOP distribution by calibrating the MTOF spare spare instrument instrument at at an an accelerator accelerator facility facility atat the the University University of of Bern Bern [10]. [10]. The The derived derived mass mass distribution distributioncan canalso alsobe beimimproved proved by by carefully carefully correcting correcting for for the the effects effects caused caused by by 125 “electronic "electronic walk”, walk", in in which which different different amplitude amplitudesignals signals create slightly different times of flight. create slightly different times of flight. There There isis also also aa very small but statistically significant variation in very small but statistically significant variation in the the TOF TOP with with the the residual residual ion ion energy energy (which (which can can be be deterdetermined mined from from the the MCP MCP position position measurement) measurement) and and also also with instrument temperature. We estimate that correcting with instrument temperature. We estimate that correcting for for all all of of the the above aboveeffects effects will willdecrease decreaseour ouruncertainty uncertainty in the iron isotope ratios by perhaps a factor in the iron isotope ratios by perhaps a factor of oftwo. two.ItItisis also planned to examine the Fe isotope ratios in also planned to examine the Fe isotope ratios in higher higher speed speed solar solar wind wind flows. flows. ACKNOWLEDGMENTS ACKNOWLEDGMENTS We We are are grateful grateful to to all all the the individuals individuals who who participated participated in the design, the construction, and the in the design, the construction, and the calibration calibration of of CELIAS/MTOF. CELIAS/MTOF. This This research researchwas wassupported supportedby byNASA NASA grants grants NAG5-7678 NAG5-7678and andNAG5-9282. NAG5-9282. REFERENCES REFERENCES 1. Anders, E., and Grevesse, N., Geochimica et Anders, E., and Grevesse, N., Geochimica et Cosmochimica Acta, 53, 197–214 (1989). 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