Cosmic Rays at Extreme Energies The Pierre Auger Observatory

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Presentation transcript:

Cosmic Rays at Extreme Energies The Pierre Auger Observatory Ezio Menichetti Dip. di Fisica Sperimentale, Universita’ di Torino INFN, Sez. di Torino Lecture 2

EAS Detectors Long history, dating back to the ’60s AGASA HiRes Volcano Ranch (USA) – Sampling Haverah Park (UK) – Sampling SUGAR (Australia) - Sampling Yakutsk (Russia) - Sampling Fly’s Eye (USA) – Fluorescence AGASA HiRes

AGASA Akeno Giant Air Shower Array 111 scintillators + 27 muon det. Akeno, Japan 11 Super-GZK events Small Scale Clustering Constraints on Composition:  protons at UHEs. (“Classical” analysis based on Ne vs Nm)

HiRes - High Resolution Fly’s Eye Pioneers of FluorescenceTechnique Air fluorescence detectors HiRes 1 - 21 mirrors HiRes 2 - 42 mirrors Dugway, Utah, USA No Super-GZK flux No Small Scale Clustering Composition Change

EAS – Early History

Ground Array EAS sampled at ground by a number of detector stations Shower front Shower core hard muons EM shower

Particle Composition

Shower Development

Universality of EM Component Emax=25 MeV

The Muon Component

Tank: Signal Components  e  1 GeV 10 MeV 1.2m Pure Water 240 MeV 10 MeV ~track ~ energy

Tank: Light Emission by Muons photomultiplier 41° Retro-diffusing Walls Water When a particle travels faster than the velocity of light in water, Cerenkov light is emitted

Pulse Shape

Pulse Height from Muons Signal unit ~ 1 VEM ~ 94 ph.e.

Pulse Height for Calibration Most frequent signals ~ atmospheric muons . . A/D ratio - sliding average over 3 min of signals > 512

EAS Direction from Timing B.Rossi, 1953

Direction from Timing cDt d

Timing

Ground Array - LDF Lateral Distribution Function LDF Parametrization

Constant Intensity Cut Need to unfold the zenith angle dependence of the tank response to any given energy Assume isotropic flux at high energy: Expect same flux at all angles at any given E →Plot cumulative (i.e. N(S>S0) vs. S0 ) pulse height distribution for each q bin Normalize q=380 150 evts Relative tank response vs angle

Ground Array - Energy Measured signal density extrapolated to a reference point Typ. S(600m) to S(1000m) to minimize fluctuations Compare to Monte Carlo simulation Good linearity with Eprimary Results somewhat depending on : Primary interaction (physics) Composition (p vs. Iron) E range fixed by detector spacing Lot of fun for us accelerator physicists! Get energy from lateral density…

Ground Array - Composition Several tool available. All in all, looks like a tricky business… Just as an example: Signal rise time Iron nucleus: Less cascade steps before reaching   More ’s.  Less EM energy  Smaller muon rise time

Atmospheric Fluorescence Radiative De-excitation High energy electron N2 Molecule UV Photons Excited N2 Molecule Collision excitation N2 Molecule + Fluorescence light E.Menichetti – Bari, Aprile 2007

Fluorescence Yield Atmosphere working as a large scale calorimeter

A Recent Measurement

The Fly’s Eye Concept Fluorescence Light EAS Path Sensor Array

Fluorescence Detector Shower-detector plane Each PM seeing one segment of the shower  Sequence of fast pulses by adjacent PMs Impact point Photomultiplier array

Atmospheric Headaches - I Effect of Molecular (Rayleigh) Scattering ~18km h~7.5km =h/~0.41

Atmospheric Headaches - II Effect of Aerosol (Mie) Scattering ~20km h~1.2km =h/~0.06

Cherenkov Headaches Estimate of Cherenkov contamination Time (100ns bins) Photons (equiv 370nm) Estimate of Cherenkov contamination Total F(t) Direct Rayleigh aerosol

Fluorescence Detector Practical implementation of light collection (also in Auger) Pixel camera (Photomultipliers) Spherical mirror (Large ~ 10 m2!)

Fluorescence Detector PM current Signal formation: One PM, sequence of time slices

Fluorescence Detector Composition (Fly’s Eye) E=3.2 1020 eV (Fly’s Eye) p Xmax Fe Unique FD capability: Longitudinal profile

Comparison: GA vs. FD GA FD Sampling detector 100% duty cycle Large number of simple, modular elements Shower parameters from x-section Need reliable MCarlo simulation FD Integral calorimeter 10% duty cycle Small number of complex stations Shower parameters from full shower track Need good atmospheric monitoring+calibration

The Hybrid Concept FD: Measuring Etot & Longitudinal Profile SD: Sampling Lateral Profile at ground