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Detection of UHE Shower Cores by ANITA

Detection of UHE Shower Cores by ANITA. By Amir Javaid University Of Delaware. Topics. Rough event rate estimates Brief look at the shower Cores Detection of Shower cores by ANITA Summary of UD Monte Carlo Simulator for Shower core detection by ANITA Present status of UD Monte Carlo

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Detection of UHE Shower Cores by ANITA

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  1. Detection of UHE Shower Cores by ANITA By Amir Javaid University Of Delaware

  2. Topics • Rough event rate estimates • Brief look at the shower Cores • Detection of Shower cores by ANITA • Summary of UD Monte Carlo Simulator for Shower core detection by ANITA • Present status of UD Monte Carlo • Future Plans for a robust Monte Carlo simulator • Some preliminary results from Monte Carlo Simulator test runs • Search for a better Model for Antarctic topography

  3. Rough Event rate estimates above 1019eV for ANITA • Air Showers For one steradian around the vertical axis the Event Rateestimated for ANITA payload horizon ~ 1.5×1016cm2from the measured cosmic ray flux data is ~1400 events per day[1]. • Neutrinos For 2 π steradian the Event Rateestimated for ANITA horizon from the Waxman Bahcall flux model is~237 interactions per day[1]. [1] ftp://ftp.bartol.udel.edu/anita/amir/EventRate_analysis_V1.4.pdf

  4. 1 EeV primary proton shower footprint at South Pole for 10m2 area Brief look at the shower Cores (Corsika Simulation runs)

  5. Brief Look at the shower Cores (contd..) 1 EeV primary proton shower footprint at South Pole for 1m2 area

  6. Brief Look at the shower Cores (contd..) 1 EeV primary proton shower footprint at South Pole for 10cm2 area

  7. Brief look at the shower cores (contd ..) 150 PeV ~15% of Total Shower 15% of Energy is stored in a Shower Core of 10cm radius

  8. Detection of Shower cores by ANITA • Corsika Shower runs for energies above100PeV show that there may be a good amount of fraction of energy stored in the shower cores which may produce an Askaryan Pulse strong enough to be detected by ANITA. • Most suitable conditions for detection of air shower cores by ANITA are by detecting the Askaryan pulse moving downwards and reflecting back from the bed rock and reaching the payload. • The areas which may be more probable for the shower core detection are where the elevation is high and ice is thin. A rough estimate may be altitude above 1km and ice thickness below 1km.

  9. Detection of Shower cores by ANITA (contd ..) Area good for Shower core detection • Ice thickness Histogram (Bedmap)

  10. Detection of Shower cores by ANITA schematic

  11. Summary of UD Monte Carlo Simulator Goals • Produce parameterized shower core Askaryan pulses. • Ray trace them to the ANITA payload. • Check for the trigger at the payload • Calculate the Effective volume for the whole ANITA flight.

  12. Present Status of UD Monte Carlo Simulator • UD MC is in testing Stage. • For testing purpose AVZ parameterized Askaryan pulses are used. • It is based on the SADE0.1 MC by Shahid Hussain modified to fit the ANITA event Geometry. • It uses Bedmap for ice thickness, bedrock elevation and surface elevation. • Interpolation is used to fill the gaps in Bedmap data.

  13. Present Status of UD Monte Carlo Simulator (contd ..) • Uses Snell’s law for the ray tracing. • It assumes that the ice and bedrock surfaces are flat. Perfect reflection from bedrock and perfect transmission from ice/air surface. • Point detector model with orientation.

  14. Future Plans for a robust Monte Carlo simulator • Development of parameterization of Askaryan pulses from shower cores. • Use of Fresnel reflection and transmission. • Better model of surface roughness for bedrock and ice/air surface. • Better model for Ray tracing. • Realistic Detector and triggering model.

  15. Preliminary Results (UD MC) • For testing I have chosen a very simple case. • Detector position Latitude=-79.2993 deg , Longitude=-90o deg, Altitude=36986.5m • Event position & Energy Latitude=-78 deg, Longitude=-90 deg, depth=198.3m Energy=100PeV, Cherenkov Angle=55.85 deg • Plots The plots are created keeping the Detector and Event position const but changing the other parameters like orientation and energy.

  16. Test Run Results (contd..)

  17. Test Run Results (contd..)

  18. Test Run Results (contd..)

  19. Bedmap and interpolated Bedmap

  20. Search for a better Model for Antarctic topography • For modeling of the surface and bedrock roughness much high resolution Antarctic topographical models are needed. • One option is the Radarsat Antarctic Mapping (RAMP) Project Digital Elevation Model Version 2 available from The National Snow and Ice Data Center. • RAMP 1 km, 400 m, and 200 m DEM data are provided in ARC/INFO and binary grid formats, and the 1 km and 400 m DEMs are also available in ASCII format. • To compare with the Bedmap data I have plotted a slice of elevation data at 90 deg Longitude.

  21. Search for a better Model for Antarctic topography (contd..)

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