Evolution of the Universe, Particle Acceleration, and Cosmic Rays - - PowerPoint PPT Presentation
Evolution of the Universe, Particle Acceleration, and Cosmic Rays - - PowerPoint PPT Presentation
Evolution of the Universe, Particle Acceleration, and Cosmic Rays Particle Astrophysics Exercise Session #1 Erik Strahler 25/03/11 Plan Review important concepts Introduce new material Work through some examples Assign work
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Plan
- Review important concepts
- Introduce new material
- Work through some examples
- Assign work to be done at home
– First assignment due May 6th
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Overview
- Evolution of the Universe
– The FRW Metric – The decoupled radiation
- Cosmic Accelerators
– Interactions and reaction products
- Cosmic Rays
– Propagation and energy loss – Practical Methods: Monte Carlo Simulation
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Describing the Universe
- Einstein equation:
- +FLRW metric:
- Friedmann equation:
) ( ) ( 3 8
2 2 2 2
t R r t D R kc G R R H ⋅ = − = ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ = ρ π &
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Maximum size
- For a closed universe, what is the maximum size?
, 1 3 8
2 2 2 2
= + = − = ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ = R k R kc G R R H & & ρ π
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Maximum size
- For a closed universe, what is the maximum size?
, 1 3 8
2 2 2 2
= + = − = ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ = R k R kc G R R H & & ρ π
2 max 3 max 2 2 max
2 3 4 8 3 c GM R R M G c R = ⇒ = = ⇒ ρ π ρ π
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Exercise
- Find the total time to the big crunch assuming a
closed universe (k=1) and total M=1023 Msun (Msun= 2x1030 kg).
- You will need to make the substitution
- Show your work!
θ
2 2 2
tan 2 c c R GM = −
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CMB decoupling
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The Cooling Universe
- Expansion leads to dropping temperature (density)
- In general, particles are freely produced until kT
drops below their mass
– ~100 GeV: Quark-gluon Plasma – ~200 MeV-10MeV: Hadronization
- Most hadrons decay, leading to lots of e, p, γ, ν which freely
interact
– ~3 MeV: electron density is decreasing
- Neutrino freeze out
- BBN
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The Cooling Universe: 2
– ~13.6 eV: formation of neutral Hydrogen – ~.25 eV: sufficiently small electron density to stop reactions, and decouple photons
- Leads to CMB
- Start of matter dominated universe
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Evolution of Radiation
- At t~380,000s, photons are decoupled from matter
and evolve independently.
- Photons obey Bose-Einstein statistics and thus
have intensity given by Planck’s law for a black- body:
1 1 2 ) , (
2 3
− =
kT h
e c h T I
ν
ν ν
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Evolution of Radiation
- We can also write this in terms of the spectral
energy density, in units of the total energy / unit volume / unit frequency
1 1 8 ) , ( 4 ) , (
3 3
− = =
kT h
e c h T I c T u
ν
ν π ν π ν
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Exercises
- Using the previous information, determine the
relationship between the energy density of radiation and the temperature of the expanding universe.
- Use the above relationship to find a function
relating the photon number density to the temperature and use this to find the current value. Compare to the value shown in lecture.
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Cosmic Accelerators
- Variety of Sources
– Supernovae – Pulsars – AGN – GRBs – …
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General Mechanism
- Some central engine accelerates protons, typically
via repeated crossings of variable magnetic fields in shock fronts.
– Produces a spectrum following a power law of ~E-2
- Protons interacts with each other, and with
ambient or co-accelerated photons, electrons
- Creates high energy photons,
neutrinos
X p p X p → + → +γ
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Relativistic Kinematics
- 4-vectors which obey Lorentz transformations
have products that are invariants.
2 2 2 2 2 2 2 2 2
) ( , ) ( ) , , , ( ) ( ) , , , ( Q P PQ also c E P p p p c E P z y x ct ds z y x ct ds
z y x
+ − = ⇒ = − − − = ⇒ = p
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Example
- Calculate the minimum projectile energy in the
rest frame of the target for a pp interaction that produces π 0 (taking into account baryon and charge conservation!).
– mπ = 135 MeV – mp = 938.3 MeV
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Exercises
- Calculate the threshold photon energy in the
proton rest frame for the interaction , where the π+ mass is 139.6 MeV. Infer what X can be.
- In the subsequent decay , calculate
what fraction of the pion energy the neutrino takes (in the rest frame of the pion). mμ=105.7 MeV X p + → + π γ
μ
ν μ π + →
+ +
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Cosmic Rays at Earth
- Properties
- Lifetime
- Energy loss
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Energy Spectrum
- Primary CRs:
– 86% protons – 11% Helium ions – 1% heavy ions – 2% electrons
- Composition depends
- n energy
- Produced in
astrophysical sources
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Conceptual Question
- Most primary cosmic rays that interact in the
atmosphere are protons or heavy ions. Only about 2% are electrons. Should we therefore expect that a net positive charge exists on the Earth due to CR bombardment?
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Atmospheric Muons
- Example: What is the minimum energy required
for a cosmic-ray induced muon to reach the surface of the Earth (sea level) if it is produced at a height of 20 km?
– τμ = 2.2 μs – mμ = 105.7 MeV
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Atmospheric Muons
- Example: What is the minimum energy required
for a cosmic-ray induced muon to reach the surface of the Earth (sea level) if it is produced at a height of 20 km?
– τμ = 2.2 μs – mμ = 105.7 MeV
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Energy Losses
- Ionization and atomic excitation:
interactions with electrons in the media
– continuous process [mip: particles at the minimum of ionization 2 MeV/g/cm2]
- Radiative: discrete process and
stochastic
– Bremmsstrahlung: radiation emitted by an accelerated or decelerated particle through the field of an atomic nuclei – Pair production: μ+N → e+e- – Photonuclear : inelastic interaction of muons with nuclei, produces hadronic showers
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Energy Losses
- dE/dx = a(E)+b(E) E
– Ionization + stochastic losses (dominate above 1 TeV)
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Example: Energy Losses
- What is the range of a 100 GeV muon in rock?
– ρrock = 2.65 g / cm3 – a = 2 MeV / g / cm2 – b = 4.4x10-6 cm2 / g
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Example: Energy Losses
- What is the range of a 100 GeV muon in rock?
– ρrock = 2.65 g / cm3 – a = 2 MeV / g / cm2 – b = 4.4x10-6 cm2 / g
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Exercise
- Derive a general equation giving the remaining
energy of a muon after traversing a slant depth X if it had initial energy E0. Assume average energy losses apply. Describe the behavior of the resulting function for large and small depths and identify the transition point.
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Practical Methods: Monte Carlo
- Model a situation by randomly sampling from a
known (or approximated) underlying distribution
– Useful when exact, analytical results are too difficult to achieve – Also useful for achieving a statistical result
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MC: How to Achieve?
- First, we need to be able to uniformly generate
statistically independent values (typically in a range [0,1] )
- Next, map a probability distribution of our
variable of interest into a parameter that can be
- sampled. i.e. How do we determine random
values of x when we know f(x)?
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Inverse Transform Method
- If we have a PDF of form f(x) defined on
(normalized to 1), then its Cumalitive Distribution Function F(a) expresses the probability that x<a and is given by
- Now, U=F(X) is a random variable that occurs on the
interval [0,1]. We can generate random values from the CDF by finding X=F-1(U)
∞ < < ∞ − x
∫
∞ −
=
a
dx x f a F ) ( ) (
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Inverse Transform Method
Example
2 / 1 1 2 1 2
) ( 1 1 1 2 ) ( 1 2 ) ( U U F X X U x x x xdx x x F
- therwise
x x x f
x
= = = ⎟ ⎟ ⎟ ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎜ ⎜ ⎜ ⎝ ⎛ > ≤ ≤ = < = ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ≤ ≤ =
−
∫
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Exercise
- We’ve seen that cosmic ray fluxes can be characterized