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E−2.7
Charged particles with a Non Thermal Spectrum
Goal: the mechanism that produce these particles.
Different quest than looking for experimental signatures that confirms/rejects a given theory, but with the same goal.
E− 3
E−3. 3
Second knee
E− 3
Sources are hidden by the magnetic fields
Spectral Features: knee, ankle, second knee?
Chemical composition and its dependence with energy
Anisotropies at different energies.
• X-Ray, Gamma Ray observations
• Neutrino Astronomy
Direct
Indirect
Lots of Particles 1000 / m2 /sec
High energy 108 – 1010 eV
Particles very rare 1/m2/year - 1/km2/century
Extremely High Energy1016 – 1021 eV
Secondary particles make it to the ground
Particles less plentiful 1/m2/sec - 1/m2/year
Very High Energy1010 – 1015 eV
Secondary particles do not make it to the ground
ACE 1m2
TRACER 4m2
Auger 3000km2
How do we measure this radiation?
De
cre
ase
in t
he
info
rma
tion
ri
chn
ess
The high energy tail of the Cosmic Ray spectrum (E> 1019 eV)
Extragalactic origin
As
tro
ph
ys
ica
l c
an
did
ate
sE
xo
tic
sc
en
ari
os
Topological defects, new interactions, massive particles decay, violation of Lorentz invariance….
γ=2.7
J. Cronin
Pion photoproduction
p + γ2.7 K → N + π
for Ep > 5 10 19 eV
Interaction length ≈ 6 Mpc
Energy loss ≈ 20 %/interaction
nearby sources (<50 Mpc)
Caveats (I): the particle horizon/ GZK effect
There is no containment volume (the galaxy), so the observed spectra should be the source spectra.
But, the spectral index is far from the Non-Linear Shock Acceleration predictions.
Cosmological evolution and GZK cutoff change the slope of the spectra
The higher the energy the closer the source.
1019 eV 1020 eV
Caveats (II): the spectral shape
ϒ≈4
M 21
Caveats (III) Do we expect anisotropies? First requirement.
1019 eV
1020 eV
Simulations of Large scale Structure Formation to study the build up of magnetic fields through magnetohydrodynamical amplification from a seed at high redshift.
Dolag et al, JCAP 0501:009,2005
Cosmic Rays will propagate mostly through voids, so we should be in the balistic regime.
However, other calculations seem to be in disagreement: deflections can be as large as 100.
Sigl et al, Nucl. Phys. Proc. Suppl. 136: 224-233,2004
The departure from isotropy depends on:The density of CR sources.The distribution of sources in the sky.The statistics of the experiment.
Sources distributed anisotropically?
AGN (z < 0.02)
IRAS galaxies (z < 0.02)
Sources distributed isotropically?
Auger N+S 2014
Source density 10-5 Mpc-3
Auger N+S 2030
Source density 10-3 Mpc-3 Note: we need a redshift cutoff, if
not the universe is very isotropic
Caveats (III) Do we expect anisotropies? Second requirement.
We expect anisotropy at some level
Particle horizons decrease with energy, above 1019.7 eV below 100 Mpc:
The number of observable sources decreases. The distribution of matter below 100 Mpc is anisotropic (filaments, clusters..., the cosmic web).
If the sources resemble/follow the distribution of matter, anisotropy is expected at some level, even if we have less than one event per source.
Somewhere in this energy range a transition from Galactic to Extagalactic origin is predicted. But where?
Caveats (IV): What do we know about the chemical composition?
The Detector: Pierre Auger Observatory
Fluorescence Detector
• E + longitudinal development
• Time ≈ direction
• ≈ 10% duty cycle
300-400 nm light from de-excitation of atmospheric nitrogen
(fluorescence light) ≈ 4 γ’s / m /electron
1019 eV 1010 e
Surface Detector
• Shower size ≈ E
• Time ≈ direction
• 100% duty cycle
Cross-calibration, improved resolution, control of systematic errors
14
The Observatory
Surface Array 1600 detector stations 1.5 km spacing 3000 km2
Fluorescence Detectors 4 Telescope enclosures 6 Telescopes per
enclosure 24 Telescopes total
Tank with antenna pointing to one of the communication towers.
Three tanks aligned in the middle of the Pampa
Checking the Energy Scale: SD+Shower universality
Model independent parameterization of Ground signals
Constant Number of events for equal exposure bins
Only possible if we know the average X
max as a function of energy!!
DG
S(1000,Θ=38)= 38.9 ± 1.4 (stat) ±2.0 (sys)
At a reference energy of 1019 eV
SD+Shower Universality
Hybrid
S(1000,Θ=38)= 50.0 ± 3 (stat) ±11 (sys)
They do differ by 30%
Cross checks with Hybrid Events
Eevent
=f x EFD
Θ X
max
S(1000)
Observables
f=1 FD scalef=1.3 SD scale
f=1.3
SEM
can be predicted from
the observables and substracted out to the measured S(1000) .
Collateral benefit: learn about hadronic models at these energies?
A preliminary study indicates 40% more muons than model prediction. But it could be a factor of two.
Knee
LHCf and Totem will help in this issue
Chemical Composition: uncertainty in Hadronic model predictions
Transition
Inherent degeneracy between hadronic models and Chemical composition. The data in the fluctuations (not model dependent) combined with N
μ measurents will help.
Moreover there is a correlation with nearby matter distribution...
Correlations with AGNs in VC catalagueAngular scale: 3 degreesAGN distance cut: 75 MpcEnergy threshold: 57 EeVSignificance after a prescription: 1.7 x 10-3
Raw significance of the statistical test used: 10-5
Millenium Simulation
But, what does it mean this result in the flow chart of identifying the mechanisms that produces the highest energy particles in nature?:
The UHECR sky is anisotropicCorrelation with the distribution of nearby matter.Identification of the sources.Identification of the mechanism that accelerate these particles.
The mentioned results mixed these 3 items.
We almost double the data since the last report to the community. These statistics will help to know where we are.