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IUGG 2007. Runaway Relativistic Electron Avalanche Seeding Brant Carlson Nikolai Lehtinen, Umran Inan Space, Telecommunications and Radioscience Laboratory Electrical Engineering Department Stanford University, Stanford, California 94305 http://www-star.stanford.edu/~vlf/. Outline.
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IUGG 2007 Runaway Relativistic Electron Avalanche Seeding Brant Carlson Nikolai Lehtinen, Umran Inan Space, Telecommunications and Radioscience Laboratory Electrical Engineering Department Stanford University, Stanford, California 94305 http://www-star.stanford.edu/~vlf/
Outline • Runaway Relativistic Electron Avalanche (RREA) • Context, physics. • RREA seeding • Seed sources • Seed efficiency • Results / Conclusions
Context Runaway Relativistic Electron Avalanche (RREA): • Large-scale E-field-driven avalanche, low threshold electric field. • Energetic e-, e+, . Important for • Terrestrial Gamma-ray Flashes? • Sprites? • Lightning Initiation?
Dynamic friction on e- in air data from ICRU (1984)
Electric field in air, with seed E RREA electrons photons seed e-
Seeding Issues Seed sources: Cosmic rays, cosmic ray air showers. Concerns: • Relative direction? • Energy effects? • Particle type? downstream upstream low energy high energy
Main Questions • What are available seeds? • How do they behave? • What does this tell us about RREA in the atmosphere?
What are available seeds? air showers Cosmic rays W.-M. Yao et al., J. Phys. G 33, 1 (2006)
CR secondary distributions • Air shower simulations (AIRES) • Range of Epri, pri. • Secondary distributions • histogram over z in x, y, E, for e-, e+,, . What particles are caught by a sphere of radius R in a time t at alt. z? library energetic particle distrib.
Energetic particle distributions What about fluctuations? (100 sets)
Seed behavior, efficiency GEANT simulations (various type, direction, etc.) • propagate seed for 100 ns. • track secondaries for 20 ns. • count secondary (avalanche) electrons. • repeat, average. E low energy high energy
Seed behavior, efficiency Energy, particle species effects
Seed behavior, efficiency Direction, energy, particle species effects
Summary CR primary distrib. + Air shower sims. energetic particle distributions. With seeding efficiency calculations, effective seeding as function of alt. Effective seeding is large (thousands), Fluctuations are small (< 3x), unless A t is small (< 10 km2s).
Preliminary conclusions If A dt > 10 km2 s (many seeds, small fluctuations) • Continuous seeding. • RREA presence tracks E-field presence. • TGF emission should track E-field presence. (QES, EMP mechanisms fall in this regime) If A dt < 10 km2 s, • Fluctuations relevant (single high-energy CRs) • Average flux still relevant. …further research is ongoing.
References Handbook of Geophysics and the Space Environment, A. S. Jursa, Ed., Air Force Systems Command, U.S. Air Force ; Springfield, VA, 1985. W.-M. Yao et al., J. Phys. G 33, 1 (2006) GEANT4 website: http://geant4.web.cern.ch/geant4/ AIRES website: http://www.fisica.unlp.edu.ar/auger/aires International Commission on Radiation Units and Measurement, Stopping powers for electrons and positrons, ICRU Rep. 37.