Abstract
Atmospheric photoelectrons are central to the production of planetary ionospheres. They are created by photoionization of the neutral planetary atmosphere by solar EUV and soft X-ray irradiance. They provide the energy to heat the thermosphere. Thermalized photoelectrons permeate magnetospheres creating polarization electric fields and plasma waves as they interact with ions to maintain charge neutrality. Energetic photoelectrons (>1 eV) have a distinctive energy spectral shape as first revealed in data from the Atmosphere Explorer satellites. Energetic photoelectrons escaping the ionosphere follow local magnetic fields illuminating the planet's magnetic topology. Current models using state-of-the-art EUV observations accurately capture their production and transport. However, in spite of 60 years of space research the electron thermalization processes occurring below 1 eV at low altitudes in planetary thermospheres are not understood quantitatively. Results from event analysis of data from the Mars Atmosphere and Volatile Evolution (MAVEN) mission are not consistent with current models of photoelectron thermalization. The lack of quantitative understanding reflects the complexity of the physics and the lack of a large data base of simultaneous neutral, ion, and electron densities and temperatures in lower planetary thermospheres.
Introduction
Electrons in the atmosphere were investigated by Chapman () and by early radio scientists who inferred the existence of an ionized region surrounding the Earth created by the absorption of radiation from the sun. Early observations of the solar EUV irradiance (e.g., Rense, ) and atmospheric photoelectrons (e.g., Hinteregger et al., ) demonstrated the need for simultaneous, space based, observations of key ionospheric parameters over all local times and latitudes. NASA addressed this need in the early 1970's with the Atmosphere Explorer (AE) -C, -D, and -E satellites (Dalgarno et al., ). The AE satellites provided calibrated measurements of the solar EUV flux, the neutral atmosphere, and ionized components including atmospheric photoelectrons. These data supported the explosion of thermospheric research summarized in Schunk and Nagy (2009).
Current and planned NASA missions investigating planetary thermosheres are focused on understanding energy transport but do not directly address energy transfer associated with electron thermalization. The measurement techniques required to observe energetic (>1 eV) and thermalized (<10,000 °K) photoelectrons have improved since AE. However, there is no systematic investigation of simultaneous in-situ electron fluxes spanning the energy range between energetic electrons measured by particle detectors and thermal electrons, measured by Langmuir probes or radars.
I participated in the Atmosphere Explorer mission at the beginning of my career and the Mars Atmosphere and Volatile Evolution (MAVEN) mission to the Martian thermosphere near the end. Here I provide my perspective on observations and models of production, transport, and thermalization of atmospheric photoelectrons. Because of space limitations I'll focus primarily on published observations. The selection of data and models discussed is representative, not complete. Specifically, we do not address the optical observations such as those from NASA's GOLD satellite that use and test models of photoelectron production and transport (e.g., Solomon et al., 2020).
Observations
Figure 1 shows an overview of atmospheric photoelectron observations and selected model outputs from the AE (Dalgarno et al., , inset panel B), Fast Auroral SnapshoT (FAST, Carlson et al., , inset panel C), and the MAVEN (Jakosky et al., , panel A) satellites. The AE and FAST satellites sampled the Earth's ionosphere; the MAVEN satellite sampled the Martian ionosphere. Each panel shows electron flux in units of (cm2-s-sr-eV)−1 as a function of energy in units of eV. The MAVEN data shown in panel A cover the energy range from 0.01 to 1,000 eV and the flux range from 1 to 1025 (cm2-s-sr-eV)−1, spanning both the thermal and energetic ranges. Panels B and C span sub sets of these ranges as indicated by the broad colored lines along the respective axes. In the next few paragraphs the data in Figure 1 are discussed in the order they were acquired, i.e., AE, FAST, and then MAVEN.
Figure 1
The AE-E data in panel B are reproduced from Doering et al. (
Above 60 eV the signal in panel B is dominated by instrument noise. Winningham et al. (1989) extended the energy range of photoelectron observations to ~1,000 eV using a more sensitive electron spectrometer with coarser energy resolution. Thousand-eV photoelectrons are produced by the solar soft X-ray flux near 1 nm. Winningham et al. pointed out that the existing observations of the solar flux in the EUV and soft X-ray ranges were inconsistent with their photoelectron observations. This point will be addressed in the section addressing models below.
The data in panel C of Figure 1 are the daily averaged photoelectron flux measurements acquired above 1,000 km during apogee passes of the FAST satellite equatorward of the auroral zone on April 14, 2008 reproduced from Peterson et al. (
Figure 2

Photoelectron energy flux energy-time (top) and angle-time (bottom) spectrograms from the FAST satellite on April 14, 2008, in units of (cm2-s-sr)−1, are shown by the color bars. Electron pitch angle β in the range 0–180 is related to the angle shown as β = min(ϕ, 360 − ϕ) where ϕ is the angle shown.
Note that the photoelectron flux in the source cone in units of (cm2-s-sr-eV)−1 above the ionosphere is independent of altitude because of magnetic focusing associated with the source cone formation, as the width of the source cone decreases while the area of the magnetic flux tube increases with increasing altitude. The narrow bands near 90 and 270° come from photoelectrons produced on the spacecraft surface. The vertical bands between 19:20 and 19:25 UT are the noise signal produced by energetic ring current particles that penetrate instrumental shielding.
Peterson et al. (
The data in Figure 1, Panel A span 25 orders of magnitude in flux and 5 orders of magnitude in energy. They include thermal electrons with temperatures of <1 eV or 1.16 · 104 °K. The electron data below 3 eV were obtained at Mars from the Langmuir Probe and Waves (LPW) instrument on MAVEN (Andersson et al.,
Global Information Obtained From Localized Photoelectron Observations
The energetic photoelectron energy spectrum is non-thermal and distinct from those found in the solar wind or the magnetosheath. The extremely intense solar He 30.4 nm irradiance produces narrow peaks in the 20–30 eV range that are easily detected by instruments with sufficient energy resolution, as shown in panel B of Figure 1. Above ~60 eV the energy spectrum decreases by almost an order of magnitude corresponding to a decrease in the solar irradiance spectra at ~15 nm. At higher energies (~500 eV) emission peaks have been detected in the photoelectron spectra at Mars (Mitchell et al.,
These distinct features in the photoelectron energy spectra allow investigators to use them to trace magnetic field lines, determine global magnetic topology, determine spacecraft potential, infer potential drops along magnetic field lines, and monitor variations in solar extreme ultraviolet (EUV) irradiance. Coates et al. (
Models of Photoelectron Production, Transport, and Thermalization
Initial comparisons of AE photoelectron fluxes and those calculated from AE neutral density and solar EUV measurements were presented by Nagy et al. (
The major differences between data and models of energetic photoelectrons now arise from the variability of the solar EUV irradiance, uncertainties in the observed or modeled neutral density from the Mass Spectrometer and Incoherent Scatter (MSIS) model (Hedin et al.,
Thermalization of Energetic Photoelectrons
Thermalized photoelectrons permeate planetary ionospheres and magnetospheres creating polarization electric fields (e.g., Axford,
Thermal electrons are created when photoelectron energy is transferred to ions and electrons. There have been too few simultaneous observations of thermal neutral, ion, and electron temperatures in the high-density region of a planetary thermosphere to confirm or refute the assumptions associated with photoelectron thermalization processes included in current models. However, recent results from the MAVEN spacecraft (Hanley et al.,
Discussion
The production and transport of energetic atmospheric photoelectrons are well-understood and accurately captured by current models using state-of-the-art EUV observations. Techniques have been developed to use the unique energy spectral shape of energetic photoelectrons to tease out details of planetary magnetic topology. However, in spite of 60 years of observations, the processes thermalizing photoelectrons at low altitudes in planetary thermospheres are not quantitatively understood. This lack of progress reflects the complexity of the physics and the lack of a data base of simultaneous neutral, ion, and electron temperatures at low altitudes to guide model development.
Current models of photoelectron thermalization are based on the heat equation which quantifies balance of electron heating and cooling (e.g., Matta et al.,
Although the data base of incoherent radar ion and electron temperatures is vast, we are unaware of a large-scale data base of simultaneously obtained electron, ion, and neutral temperatures obtained in the Earth's thermosphere at densities ~ >1012 cm−3. Such in-situ observations at Earth appear to be possible from satellites at altitudes as low as 100 km (neutral densities ~1014 cm−3 and fractional ionization of ~10−9) using state-of-the-art- instruments and innovative spacecraft (Sarris et al., 2020; Palmroth et al.,
Maven data and analysis show that current one-dimensional codes which use Maxwellian temperatures, empirical ion and electron temperature profiles, and relatively poorly determined cross sections do not adequately account for energy transfer between ions, neutrals, and electrons at the low temperatures and low altitudes below those that have been sampled on Earth and Mars. Deeper insights into the thermalization will require new observations and models. Relevant observations can be made from satellites and rockets as noted above. They can also be made in laboratory plasma chambers (Koepke,
Statements
Author’s note
This paper summarizes what I've learned about thermal and energetic atmospheric photoelectrons since I first began investigating them in 1973. This paper examines the source of thermalized photoelectrons, demonstrates that we do not yet have a quantitative understanding of the thermalization process, and suggests how progress can be made.
Data availability statement
All datasets presented in this study are included in the article/supplementary material.
Author contributions
The author confirms being the sole contributor of this work and has approved it for publication.
Acknowledgments
WKP thanks Gwen Hanley for sharing her preliminary ion temperature observations from the MAVEN spacecraft, Phil Richards for re-igniting my interest in atmospheric photoelectrons, and Andrew Yau and Mark Koepke for insightful comments on an early version of this paper.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AnderssonL.ErgunR. E.DeloryG. T.ErikssonA.WestfallJ.ReedH.et al. (2015). The Langmuir Probe and Waves (LPW) instrument for MAVEN. Space Sci. Rev.195, 173–198. 10.1007/s11214-015-0194-3
2
AxfordW. I. (1968). The polar wind and the terrestrial helium budget. J. Geophys. Res. Sp. Phys. 73, 6855–6859. 10.1029/JA073i021p06855
3
BorisovN.NielsenE. (2005). Excitation of plasma waves by unstable photoelectron and thermal electron populations on closed magnetic field lines in the Martian ionosphere. Ann. Geophys. 23, 1249–1258. 10.5194/angeo-23-1249-2005
4
BougherS. W.PawlowskiD.BellJ. M.NelliS.McDunnT.MurphyJ. R.et al. (2015). Mars global ionosphere-thermosphere model: solar cycle, seasonal, and diurnal variations of the mars upper atmosphere. J. Geophys. Res. Planets120, 311–342. 10.1002/2014JE004715
5
CarlsonC. W.McFaddenJ. P.ErgunR. E.TemerinM.PeriaW.MozerF. S.et al. (1998b). FAST observations in the downward auroral current region: Energetic upgoing electron beams, parallel potential drops, and ion heating. Geophys. Res. Lett. 25, 2017–2020. 10.1029/98GL00851
6
CarlsonC. W.PfaffR. F.WatzinJ. C. (1998a). The Fast Auroral SnapshoT (FAST) mission. Geophys. Res. Lett. 25, 2013–2016. 10.1029/98GL01592
7
ChamberlinP. C.WoodsT. N.CrotserD. A.EparvierF. G.HockR. A.WoodraskaD. L. (2009). Solar cycle minimum measurements of the solar extreme ultraviolet (EUV) spectral irradiance on April 14, 2008. Geophys. Res. Lett. 36:L05102. 10.1029/2008GL037145
8
ChamberlinP. C.WoodsT. N.EparvierG. F. (2007). Flare Irradiance Spectral Model (FISM): daily component algorithms and results. Space Weather5:S07005. 10.1029/2007SW000316
9
ChapmanS. (1931). The absorption and dissociative or ionizing effect of monochromatic radiation in an atmosphere on a rotating earth. Proc. Phys. Soc. London43, 26–45, 483–501. 10.1088/0959-5309/43/5/302
10
CoatesA. J.TsangS. M. E.WellbrockA.FrahmR. A.WinninghamJ. D.BarabashS.et al. (2011). Atmospheric photoelectrons: comparing Venus, Earth, Mars, and Titan. Planet. Space Sci.59, 1019–1027. 10.1016/j.pss.2010.07.016
11
CooperC. M.GekelmanW. (2013). Termination of a magnetized plasma on a neutral gas: the end of the plasma. Phys. Rev. Lett. 110:265001. 10.1103/PhysRevLett.110.265001
12
DalgarnoA.HansonW. B.SpencerN. W.SchmerlingE. R. (1973). The atmosphere explorer mission. Radio Sci.8, 263–266. 10.1029/RS008i004p00263
13
DoeringJ. P.PetersonW. K.BostromC. O.PotemraT. A. (1976). High resolution daytime photoelectron energy spectra from AE-E. Geophys. Res. Lett. 3, 129–131. 10.1029/GL003i003p00129
14
HanleyK. G.MitchellD. L.McFaddenJ. P.FowlerC. M.StoneS. W.PilinskiM.et al. (2020). “ temperature profiles measured by MAVEN STATIC,” in P049-06 presented at 2020 Fall Meeting, AGU, 1-17 Dec (San Francisco, CA). 10.5194/epsc2020-349
15
HedinA. E.SalahE.EvandJ. V.ReberC. A.NewtonG. P.SpencerN. W.et al. (1977). A global thermospheric model based on mass spectrometer and incoherent scatter data, MSIS 1. N2 density and temperature. J. Geophys. Res. 82, 2139–2147. 10.1029/JA082i016p02148
16
HerouxL.HintereggerH. E. (1978). Aeronomical reference spectrum for solarUV below 2000A°. J. Geophys. Res. 8, 5305–5308. 10.1029/JA083iA11p05305
17
HintereggerH. E.DamonK. R.HallL. A. (1959). Analysis of photoelectrons from solar extreme ultraviolet. J. Geophys. Res. 64, 961–969. 10.1029/JZ064i008p00961
18
JakoskyB. M.LinR. P.ZurekR. (2015). The Mars Atmosphere and Volatile Evolution (MAVEN) mission. Space Sci. Rev. 195, 3–48. 10.1007/s11214-015-0221-4
19
KhazanovG. V.GlocerA.ChuM. (2020). The formation of electron heat flux in the region of diffuse aurora. J. Geophys. Res.125:e2020JA028175. 10.1029/2020JA028175
20
KoepkeM. E. (2008). Interrelated laboratory and space plasma experiments. Rev. Geophys. 46:RG3001. 10.1029/2005RG000168
21
KozyraJ. U.ShelleyE. G.ComfortR. H.BraceL. H.CravensT. E.NagyA. F. (1987). The role of ring current O+ in the formation of stable auroral red arcs. J. Geophys. Res. 92, 7487– 7502. 10.1029/JA092iA07p07487
22
LeeJ. S.DoeringJ. P.BostromC. O.PotemraT. A. (1978). Measurement of the daytime photoelectron energy distribution from AE-E with improved energy resolution. Geophys. Res. Lett. 5, 581–583. 10.1029/GL005i007p00581
23
LeeJ. S.DoeringJ. P.PotemraT. A.BraceL. H. (1980a). Measurements of the ambient photoelectron spectrum from Atmosphere Explorer: I. AE-E measurements below 300 km during solar minimum conditions. Planet. Sp. Sci. 28, 947–971. 10.1016/0032-0633(80)90058-6
24
LeeJ. S.DoeringJ. P.PotemraT. A.BraceL. H. (1980b). Measurements of the ambient photoelectron spectrum from Atmosphere Explorer: II. AE-E measurements from 300 to 1000 km during solar minimum conditions. Planet. Sp. Sci. 28, 973–996. 10.1016/0032-0633(80)90059-8
25
MattaM.GalandM.MooreL.MendilloM.WithersP. (2014). Numerical simulations of ion and electron temperatures in the ionosphere of Mars: multiple ions and diurnal variations. Icarus227, 78–88. 10.1016/j.icarus.2013.09.006
26
McFaddenJ. P.KortmannO.CurtisD.DaltonG.JohnsonG.AbiadR.et al. (2015). MAVEN SupraThermal and Thermal Ion Composition (STATIC) instrument. Space Sci. Rev. 195,199–256. 10.1007/s11214-015-0175-6
27
McGranaghanR.KnippD. J.SolomonS. C.FangX. (2015). A fast, parameterized model of upper atmospheric ionization rates, chemistry, and conductivity. J. Geophys. Res. Space Phys.120, 4936–4949. 10.1002/2015JA021146
28
MitchellD. L.LinR. P.RèmeH.CriderD. H.CloutierP. A.ConnerneyJ. E. P.et al. (2000). Oxygen Auger electrons observed in Mars' ionosphere. Geophys. Res. Lett. 27, 1871–1874. 10.1029/1999GL010754
29
MitchellD. L.MazellC.SauvaudJ.-A.ThocavenJ.-J.RouzaudJ.FedorovA.et al. (2016). The MAVEN Solar Wind Electron Analyzer (SWEA). Space Sci. Rev.200, 495–528. 10.1007/s11214-015-0232-1
30
NagyA. F.DoeringJ. P.PetersonW. K.TorrM. R.BanksP. M. (1977). Comparison between calculated and measured photoelectron fluxes from Atmosphere Explorer C and E. J. Geophys. Res. 82, 5099–5103. 10.1029/JA082i032p05099
31
PalmrothM.GrandinM.SarrisT.DoornbosE.TourgaldisS.AikioA.et al. (2021). Lower-thermsphere-ionosphere (LTI) quantities: current status of measuring techniques and models. Ann. Geophys. 49, 189–237. 10.5194/angeo-39-189-2021
32
PetersonW. K.AnderssonL.ErgunR.ThiemannE.PilinskiM.ThallerS.et al. (2020). Subsolar electron temperatures in the lower Martiionosphere. J. Geophys. Res.125:e2019JA027597. 10.1029/2019JA027597
33
PetersonW. K.DoeringJ. P.PotemraT. A.BraceL. H.HeelisR. A.HansonW. B. (1977b). Measurement of magnetic field aligned potential differences using high resolution conjugate photoelectron energy spectra. Geophys. Res. Lett. 4, 373–376. 10.1029/GL004i009p00373
34
PetersonW. K.DoeringJ. P.PotemraT. A.McEntireR. W.BostromC. O. (1977a). Conjugate photoelectron fluxes observed on Atmosphere Explorer C. Geophys. Res. Lett. 4, 109–112. 10.1029/GL004i003p00109
35
PetersonW. K.StavrosE. N.RichardsP. G.ChamberlinP. C.WoodsT. N.BaileyS. M.et al. (2009). Photoelectrons as a tool to evaluate spectral variations in solar EUV irradiance over solar cycle timescales. J. Geophys. Res. 114:A10304. 10.1029/2009JA014362
36
PetersonW. K.WoodsT. N.ChamberlinP. C.RichardsG. P. (2008). Photoelectron flux variations observed from the FAST satellite. Adv. Space Res. 42, 947–956. 10.1016/j.asr.2007.08.038
37
PetersonW. K.WoodsT. N.FontenlaJ. M.RichardsP. G.ChamberlinP. C.SolomonS. C.et al. (2012). Solar EUV and XUV energy input to thermosphere on solar rotation time scales derived from photoelectron observations. J. Geophys. Res. 117:A05320. 10.1029/2011JA017382
38
RenseW. A. (1953). Intensity of Lyman-alpha line in the solar spectrum. Phys. Rev. 91,229–302. 10.1103/PhysRev.91.299
39
RichardsP. G.BuonsantoM. J.ReinischB. W.HoltJ.FennellyJ. A.ScaliJ. L.et al. (2000). On the relative importance of convection and temperature on the behavior of the ionosphere in North America during January 6–12, 1997. J. Geophys. Res. 105, 12763–12776. 10.1029/1999JA000253
40
RichardsP. G.PetersonK. W. (2008). Measured and modeled backscatter of ionospheric photoelectron fluxes. J. Geophys. Res. 113:A08321. 10.1029/2008JA013092
41
RichardsP. G.TorrD. G. (1984). An investigation of the consistency of ionospheric measurements of the photoelectron flux and solar EUV flux. J. Geophys. Res. 89, 5625–5635. 10.1029/JA089iA07p05625
42
RichardsP. G.WoodsT. N.PetersonW. K. (2006). HEUVAC: a new high resolution solar EUV proxy model. Adv. Sp. Res. 37, 315–322. 10.1016/j.asr.2005.06.031
43
SarrisT. E.TalaatE. R.PalmrothM.DandourasI.ArmandilloE.KervalishviliG.et al. (2020). Daedalus: a low-flying spacecraft for in situ exploration of the lower thermosphere–ionosphere. Geosci. Instrum. Method. Data. Syst. 9, 153–191. 10.5194/gi-9-153-2020
44
SchunkR.NagyA. (2009). Ionospheres: Physics, Plasma Physics, and Chemistry (2nd ed., Cambridge Atmospheric and Space Science Series). Cambridge: Cambridge University Press. 10.1017/CBO9780511635342
45
SolomonS. C.AnderssonL.BurnsA. G.EastesR. W.MartinisC.McClintockW. E.et al. (2020). Global scale observations and modeling of far ultraviolet airglow during twilight. J. Geophys. Res.125:e2019JA027645. 10.1029/2019JA027645
46
SolomonS. C.HaysP. B.AbreuJ. V. (1988). The auroral 6300A emission: observations and modeling. J. Geophys. Res. 93, 9867–9882. 10.1029/JA093iA09p09867
47
WeberT.BrainD.XuS.MitchellD.EspleyJ.HalekasJ.et al. (2020). The influence of interplanetary magnetic field direction on Martian crustal magnetic field topology. Geophys. Res. Lett.47:e2020GL087757. 10.1029/2020GL087757
48
WinninghamJ. D.DeckerD. T.KozyraJ. U.NagyA. F.JasperseJ. R. (1989). Energetic (>60 eV) atmospheric photoelectrons. J. Geophys. Res. 94, 15335–15348. 10.1029/JA094iA11p15335
49
WoodsT. N.ChamberlinP. C.PetersonW. K.MeierR. R.RichardsP. G.StricklandD. J.et al. (2008). XUV Photometer System (XPS): improved solar irradiance algorithm using CHIANTI spectral models. Solar Phys. 250, 235–267. 10.1007/s11207-008-9196-6
50
WoodsT. N.EparvierF. G.BaileyS. M.ChamberlinP. C.LeanJ.RottmanG. J.et al. (2005). The solar EUV Experiment (SEE): mission overview and first results. J. Geophys. Res. 110:A01312. 10.1029/2004JA010765
51
XuS.WeberT.MitchellD. L.BrainD. A.MazelleC.DiBraccioG. A.et al. (2019). A technique to infer magnetic topology at Mars and its application to the terminator region. J. Geophys. Res.124, 1823–1842. 10.1029/2018JA026366
Summary
Keywords
photoelectrons, thermalization, ionization, ionosphere, Mars, Earth
Citation
Peterson WK (2021) Perspective on Energetic and Thermal Atmospheric Photoelectrons. Front. Astron. Space Sci. 8:655309. doi: 10.3389/fspas.2021.655309
Received
18 January 2021
Accepted
10 March 2021
Published
09 April 2021
Volume
8 - 2021
Edited by
Joseph Eric Borovsky, Space Science Institute, United States
Reviewed by
Nickolay Ivchenko, Royal Institute of Technology, Sweden; Roger Varney, SRI International, United States
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© 2021 Peterson.
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*Correspondence: W. K. Peterson bill.peterson@lasp.colorado.edu
This article was submitted to Space Physics, a section of the journal Frontiers in Astronomy and Space Sciences
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