Indirect Dark Matter Searches Torsten Bringmann, University of - - PowerPoint PPT Presentation

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Indirect Dark Matter Searches Torsten Bringmann, University of - - PowerPoint PPT Presentation

TeV Particle Astrophysics 2010, Paris, 19 - 23 July Indirect Dark Matter Searches Torsten Bringmann, University of Hamburg Outlook Introduction Messengers for indirect DM searches Gamma rays Antimatter ... Multiwavelength/-messenger


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SLIDE 1

Torsten Bringmann, University of Hamburg

TeV Particle Astrophysics 2010, Paris, 19 - 23 July

Indirect Dark Matter Searches

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Outlook

Introduction Messengers for indirect DM searches

Gamma rays Antimatter ...

Multiwavelength/-messenger approach How far can we get? Direct vs. indirect searches Summary

2

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SLIDE 3

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Dark matter

3 credit: WMAP

Existence by now (almost) impossible to challenge!

electrically neutral non-baryonic cold ‒ dissipationless and negligible free- streaming effects collisionless ΩCDM = 0.233 ± 0.013 (WMAP)

(dark!) (BBN) (structure formation) (bullet cluster)

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SLIDE 4

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Dark matter

3 credit: WMAP

Existence by now (almost) impossible to challenge!

electrically neutral non-baryonic cold ‒ dissipationless and negligible free- streaming effects collisionless ΩCDM = 0.233 ± 0.013 (WMAP)

(dark!) (BBN) (structure formation) (bullet cluster)

WIMPS are particularly good candidates:

well-motivated from particle physics

[SUSY, EDs, little Higgs, ...]

thermal production “automatically” leads to the right relic abundance

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SLIDE 5

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The WIMP “miracle”

4

y

  • i-

e lic

The number density of Weakly Interacting Massive Particles in the early universe:

(thermal average)

dnχ dt + 3Hnχ = −σv

  • n2

χ − n2

χeq

  • χχ → SM SM

nχeq

time increasingσv a3nχ

Fig.: Jungman, Kamionkowski & Griest, PR’96

σv:

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SLIDE 6

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The WIMP “miracle”

4

y

  • i-

e lic

The number density of Weakly Interacting Massive Particles in the early universe:

(thermal average)

dnχ dt + 3Hnχ = −σv

  • n2

χ − n2

χeq

  • χχ → SM SM

nχeq

time increasingσv a3nχ

Fig.: Jungman, Kamionkowski & Griest, PR’96

σv:

“Freeze-out” when annihilation rate falls behind expansion rate

Relic density (today):

for weak-scale interactions!

(→ a3nχ ∼ const.)

Ωχh2 ∼ 3 · 10−27cm3/s σv ∼ O(0.1)

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SLIDE 7

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Freeze-out = decoupling !

5

WIMP interactions with heat bath of SM particles:

χ

SM (annihilation)

χ

SM

χ

(scattering)

χ

SM SM

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SLIDE 8

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Freeze-out = decoupling !

5

WIMP interactions with heat bath of SM particles:

χ

SM (annihilation)

χ

SM

χ

(scattering)

χ

SM SM chemical decoupling

Ωχ

Tcd ∼ mχ/25

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SLIDE 9

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Freeze-out = decoupling !

5

WIMP interactions with heat bath of SM particles:

χ

SM (annihilation)

χ

SM

χ

(scattering)

χ

SM SM kinetic decoupling

Mcut

Tkd ∼ mχ/(102..105)

chemical decoupling

Ωχ

Tcd ∼ mχ/25

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SLIDE 10

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Freeze-out = decoupling !

5

WIMP interactions with heat bath of SM particles:

χ

SM (annihilation)

χ

SM

χ

(scattering)

χ

SM SM kinetic decoupling

Mcut

Tkd ∼ mχ/(102..105)

chemical decoupling

Ωχ

Tcd ∼ mχ/25

  • T. Bringmann, 2009

mχ [GeV] Mcut/M

Higgsino (Zg < 0.05) mixed (0.05 ≤ Zg ≤ 0.95) Gaugino (Zg > 0.95)

K I J∗ F∗

50 100 500 1000 5000 10−4 10−6 10−8 10−10 10−12

no “typical” , but model-dependent

Mcut ∼ 10−6M⊙

a window into the particle-physics nature of dark matter!

TB, NJP ’09

size of smallest subhalos

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Strategies for DM searches

6

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Strategies for DM searches

6

all complementary!

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

7

! " e

+

DM DM ! e p

_

+

DM has to be (quasi-)stable against decay... … but can usually pair-annihilate into SM particles Try to spot those in cosmic rays of various kinds i) absolute rates

regions of high DM density

ii) discrimination against other sources

low background; clear signatures

The challenge:

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

8

! " e

+

DM DM ! e p

_

+

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SLIDE 15

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

8

! " e

+

DM DM ! e p

_

+

Gamma rays: Rather high rates No attenuation when propagating through halo No assumptions about diffuse halo necessary Point directly to the sources: clear spatial signatures Clear spectral signatures to look for

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

8

! " e

+

DM DM ! e p

_

+

Gamma rays: Rather high rates No attenuation when propagating through halo No assumptions about diffuse halo necessary Point directly to the sources: clear spatial signatures Clear spectral signatures to look for

maybe most important!

Clear spectral signatures

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Gamma-ray flux

9

The expected gamma-ray flux [GeV-1cm-2s-1sr-1] from a source with DM density is given by

ρ

dΦγ dEγ (Eγ, ∆ψ) = σvann 8πm2

χ

  • f

Bf dN f

γ

dEγ ·

  • ∆ψ

dΩ ∆ψ

  • l.o.s

dℓ(ψ)ρ2(r)

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Gamma-ray flux

9

The expected gamma-ray flux [GeV-1cm-2s-1sr-1] from a source with DM density is given by

ρ

dΦγ dEγ (Eγ, ∆ψ) = σvann 8πm2

χ

  • f

Bf dN f

γ

dEγ ·

  • ∆ψ

dΩ ∆ψ

  • l.o.s

dℓ(ψ)ρ2(r)

particle physics mχ σvann Bf N f

γ

: total annihilation cross section : WIMP mass : branching ratio into channel : number of photons per ann. f

(50 GeV mχ 5 TeV)

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SLIDE 19

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Gamma-ray flux

9

The expected gamma-ray flux [GeV-1cm-2s-1sr-1] from a source with DM density is given by

ρ

dΦγ dEγ (Eγ, ∆ψ) = σvann 8πm2

χ

  • f

Bf dN f

γ

dEγ ·

  • ∆ψ

dΩ ∆ψ

  • l.o.s

dℓ(ψ)ρ2(r)

astrophysics ∆ψ : angular res. of detector D : distance to source

for point-like sources:

  • D2∆ψ

−1 d3r ρ2(r)

particle physics mχ σvann Bf N f

γ

: total annihilation cross section : WIMP mass : branching ratio into channel : number of photons per ann. f

(50 GeV mχ 5 TeV)

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SLIDE 20

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Gamma-ray flux

9

The expected gamma-ray flux [GeV-1cm-2s-1sr-1] from a source with DM density is given by

ρ

dΦγ dEγ (Eγ, ∆ψ) = σvann 8πm2

χ

  • f

Bf dN f

γ

dEγ ·

  • ∆ψ

dΩ ∆ψ

  • l.o.s

dℓ(ψ)ρ2(r)

astrophysics ∆ψ : angular res. of detector D : distance to source

for point-like sources:

  • D2∆ψ

−1 d3r ρ2(r)

particle physics mχ σvann Bf N f

γ

: total annihilation cross section : WIMP mass : branching ratio into channel : number of photons per ann. f

(50 GeV mχ 5 TeV)

{

high accuracy spectral information

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SLIDE 21

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Gamma-ray flux

9

The expected gamma-ray flux [GeV-1cm-2s-1sr-1] from a source with DM density is given by

ρ

dΦγ dEγ (Eγ, ∆ψ) = σvann 8πm2

χ

  • f

Bf dN f

γ

dEγ ·

  • ∆ψ

dΩ ∆ψ

  • l.o.s

dℓ(ψ)ρ2(r)

astrophysics ∆ψ : angular res. of detector D : distance to source

for point-like sources:

  • D2∆ψ

−1 d3r ρ2(r)

particle physics mχ σvann Bf N f

γ

: total annihilation cross section : WIMP mass : branching ratio into channel : number of photons per ann. f

(50 GeV mχ 5 TeV)

{

high accuracy spectral information

{

large uncertainty in normalization

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Halo profiles

10

CDM N-body simulations Fits to rotation curves? Λ ρEinasto(r) = ρs e− 2

a[( r a) α−1]

ρNFW = c r(a + r)2

ρBurkert = c (r + a)(a2 + r2)

ρiso = c (a2 + r2)

rather stable result conflicting observational claims (NB: observation of stars)

  • (α ≈ 0.17)
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SLIDE 23

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Halo profiles

10

CDM N-body simulations Fits to rotation curves? Λ ρEinasto(r) = ρs e− 2

a[( r a) α−1]

ρNFW = c r(a + r)2

ρBurkert = c (r + a)(a2 + r2)

ρiso = c (a2 + r2)

rather stable result conflicting observational claims (NB: observation of stars)

  • Situation a bit unclear; effect of baryons?

(But could also lead to a steepening of the profile!)

Difference in annihilation flux several orders

  • f magnitude for the galactic center

Situation much better for e.g. dwarf galaxies

(α ≈ 0.17)

see talks by

  • C. Frenk &
  • A. Zentner
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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Substructure

11 Fig.: Bergström, NJP ’09

Indirect detection effectively involves some averaging: N-body simulations: The DM halo contains not only a smooth component, but a lot of substructure!

ΦSM ∝ ρ2

χ = (1 + BF)ρχ2

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SLIDE 25

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Substructure

11 Fig.: Bergström, NJP ’09

important to include realistic value for !

Mcut

“Boost factor”

each decade in Msubhalo contributes about the same depends on uncertain form of microhalo profile ( ...) and (large extrapolations necessary!)

cv

dN/dM

e.g. Diemand, Kuhlen & Madau, ApJ ’07

Indirect detection effectively involves some averaging: N-body simulations: The DM halo contains not only a smooth component, but a lot of substructure!

ΦSM ∝ ρ2

χ = (1 + BF)ρχ2

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

DM annihilation spectra

12

π0 → γγ

0.001 0.01 0.1 0.1 1 1 10 100 1000 0.02 0.05 0.2 0.5

x = E/mχ dNγ/dx

Secondary photons from fragmentation

mainly from result in a rather featureless, model-independent spectrum

Bertone et al., astro-ph/0612387

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

DM annihilation spectra

12

π0 → γγ

Line signals from

necessarily loop suppressed: smoking-gun signature

χχ → γγ, γZ, γH

O(α2)

Bergström, Ullio & Buckley, ApJ ’98

0.5% 1% 2% mB(1) = 800 GeV (energy resolution as indicated)

1 2 3 4 0.78 0.78 0.79 0.80 0.81

Eγ [TeV] dΦ/dEγ [10−8 m−2 s−1 TeV−1]

Bergström, TB, Eriksson & Gustafsson, JCAP ’05

0.001 0.01 0.1 0.1 1 1 10 100 1000 0.02 0.05 0.2 0.5

x = E/mχ dNγ/dx

Secondary photons from fragmentation

mainly from result in a rather featureless, model-independent spectrum

Bertone et al., astro-ph/0612387

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

DM annihilation spectra

12

π0 → γγ

Internal bremsstrahlung (IB)

whenever charged final states are present: characteristic signature (details model-dependent!) usually dominant at high energies

O(α)

Birkedal, Matchev, Perelstein & Spray, hep-ph/0507194

TB, Bergström & Edsjö, JHEP ’08

Line signals from

necessarily loop suppressed: smoking-gun signature

χχ → γγ, γZ, γH

O(α2)

Bergström, Ullio & Buckley, ApJ ’98

0.5% 1% 2% mB(1) = 800 GeV (energy resolution as indicated)

1 2 3 4 0.78 0.78 0.79 0.80 0.81

Eγ [TeV] dΦ/dEγ [10−8 m−2 s−1 TeV−1]

Bergström, TB, Eriksson & Gustafsson, JCAP ’05

0.001 0.01 0.1 0.1 1 1 10 100 1000 0.02 0.05 0.2 0.5

x = E/mχ dNγ/dx

Secondary photons from fragmentation

mainly from result in a rather featureless, model-independent spectrum

Bertone et al., astro-ph/0612387

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

mSUGRA spectra

13

focus point region (mχ = 1926 GeV)

0.01 0.1

x = Eγ/mχ x2dN γ,tot/dx

Total Secondary gammas Internal Bremsstrahlung

0.4 0.6 0.8 1 0.001 1 0.2

BM4

bulk region (mχ = 141 GeV)

x = Eγ/mχ x2dN γ,tot/dx

Total Secondary gammas Internal Bremsstrahlung

0.4 0.6 0.8 1 1 0.01 0.1 0.2

I’

.

coannihilation region (mχ = 233 GeV)

0.01 0.1

x = Eγ/mχ x2dN γ,tot/dx

Total Secondary gammas Internal Bremsstrahlung

0.4 0.6 0.8 1 0.001 1 10 0.2

BM3

funnel region (mχ = 565 GeV)

x = Eγ/mχ x2dN γ,tot/dx

Total Secondary gammas Internal Bremsstrahlung

0.4 0.6 0.8 1 1 0.01 0.1 0.2

K’

.

(benchmarks taken from TB, Edsjö & Bergström, JHEP ’08 and Battaglia et al., EPJC ’03)

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Comparing DM spectra

14

(Very) pronounced cut-off at Further features at slightly lower energies Could be used to distinguish DM candidates! Eγ = mχ

0.2 0.4 0.6 0.8 1.0 1.2 0.001 0.01 0.1 1

x = Eγ/mχ

x2dN/dx

B M 3 – c

  • a

n n i h i l a t i

  • n

( 2 3 ) BM4 – focus point (10.9) I ’ – b u l k ( 3 . 6 ) K ’ – f u n n e l

TB, PoS ’08

Example: mSUGRA benchmarks (assume energy resolution of 10%)

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SLIDE 31

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Comparing DM spectra

14

(Very) pronounced cut-off at Further features at slightly lower energies Could be used to distinguish DM candidates! Eγ = mχ

Bergström et al., ’06

Example: Higgsino vs KK-DM (about same mass; assume ) ∆E = 15%

Eγ[TeV] E2

γ d(σv)γ/dEγ [10−29cm3s−1TeV]

10 102 103 0.1 0.5 1 2

Higgsino B(1)

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

IB: total flux enhancement

15

IB contributions important at high energies this is where Air Cherenkov Telescopes are most sensitive!

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

IB: total flux enhancement

15

IB contributions important at high energies this is where Air Cherenkov Telescopes are most sensitive! Example: Dwarf galaxies

IB boosts effective sensitivity by a factor of up to ~10 CTA could see a DM signal from Willman 1 for a large class of models (less optimistic prospects for Draco)

∆E/E = 10%

TB, Doro & Fornasa, JCAP ’09 Cannoni et al., PRD ’10

TB, Doro & Fornasa, JCAP ’09

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

IB: total flux enhancement

15

IB contributions important at high energies this is where Air Cherenkov Telescopes are most sensitive! Example: Dwarf galaxies

IB boosts effective sensitivity by a factor of up to ~10 CTA could see a DM signal from Willman 1 for a large class of models (less optimistic prospects for Draco)

∆E/E = 10%

TB, Doro & Fornasa, JCAP ’09 Cannoni et al., PRD ’10

TB, Doro & Fornasa, JCAP ’09

important to include also for other targets!

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Galactic center

brightest DM source in sky large background contributions

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Galactic center

brightest DM source in sky large background contributions

Galactic halo

good statistics, angular information galactic backgrounds?

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SLIDE 38

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Galactic center

brightest DM source in sky large background contributions

Dwarf Galaxies

DM dominated, M/L~1000 fluxes soon in reach!

Galactic halo

good statistics, angular information galactic backgrounds?

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SLIDE 39

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Galactic center

brightest DM source in sky large background contributions

DM clumps

easy discrimination (once found) bright enough?

Dwarf Galaxies

DM dominated, M/L~1000 fluxes soon in reach!

Galactic halo

good statistics, angular information galactic backgrounds?

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Extragalactic background

DM contribution from all z background difficult to model

Galactic center

brightest DM source in sky large background contributions

DM clumps

easy discrimination (once found) bright enough?

Dwarf Galaxies

DM dominated, M/L~1000 fluxes soon in reach!

Galactic halo

good statistics, angular information galactic backgrounds?

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SLIDE 41

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Where to look

16

Diemand, Kuhlen & Madau, ApJ ’07

Extragalactic background

DM contribution from all z background difficult to model

Galaxy clusters

cosmic ray contamination better in multi-wavelength?

Galactic center

brightest DM source in sky large background contributions

DM clumps

easy discrimination (once found) bright enough?

Dwarf Galaxies

DM dominated, M/L~1000 fluxes soon in reach!

Galactic halo

good statistics, angular information galactic backgrounds?

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Sensitivities

17

−10

50 h 5 σ 10 events

Energy [ TeV ]

MAGIC II GLAST (1 yr) GLAST (5 yrs) 1 C.U. 0.001 C.U. VERITAS MAGIC

−11 −12 −13 −14

stereo

Integral flux limit [ 1 / (s cm ) ]

2

H.E.S.S.

10 0.01 0.1 1 10 100 9−tel. at 2000 m 10 10 10 10 41−tel. system 4 large + 85

Bernlöhr et al., ’07

Ground-based

large eff. Area (~km2) small field of view lower threshold 40 GeV

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Sensitivities

17

−10

50 h 5 σ 10 events

Energy [ TeV ]

MAGIC II GLAST (1 yr) GLAST (5 yrs) 1 C.U. 0.001 C.U. VERITAS MAGIC

−11 −12 −13 −14

stereo

Integral flux limit [ 1 / (s cm ) ]

2

H.E.S.S.

10 0.01 0.1 1 10 100 9−tel. at 2000 m 10 10 10 10 41−tel. system 4 large + 85

Bernlöhr et al., ’07

Ground-based

large eff. Area (~km2) small field of view lower threshold 40 GeV

  • Space-borne

small eff. Area (~m2) large field of view upper bound on resolvable Eγ

(from the LAT webpage)

Fermi

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive!

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SLIDE 45

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

Fermi - Clusters, 1002.2239

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive!

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

Fermi - Clusters, 1002.2239 Fermi - line search, 1002.2239

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive!

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SLIDE 47

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

Fermi - Clusters, 1002.2239 Fermi - line search, 1002.2239 Fermi - dwarfs, 1001.4531

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive!

slide-48
SLIDE 48

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

Fermi - Clusters, 1002.2239 Fermi - line search, 1002.2239 Fermi - dwarfs, 1001.4531 VERITAS - dwarfs, 1006.5955

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive!

slide-49
SLIDE 49

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Status

18

Fermi - Clusters, 1002.2239 Fermi - line search, 1002.2239 Fermi - dwarfs, 1001.4531 VERITAS - dwarfs, 1006.5955

So far no (unambiguous) DM signals seen… … but indirect searches start to be very competitive! For more details, see talks by:

S.Murgia, B. Cañadas (Fermi), M. Vivier (VERITAS), ...

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

19

! " e

+

DM DM ! e p

_

+

slide-51
SLIDE 51

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Indirect DM searches

19

! " e

+

DM DM ! e p

_

+

Charged cosmic rays: GCRs are confined by galactic magnetic fields After propagation, no directional information is left Also the spectral information tends to get washed out Equal amounts of matter and antimatter focus on antimatter (low backgrounds!)

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Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

slide-53
SLIDE 53

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.)

slide-54
SLIDE 54

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.) Diffusion coefficient, usually D ∝ β(E/q)δ

slide-55
SLIDE 55

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.) Diffusion coefficient, usually D ∝ β(E/q)δ convection

slide-56
SLIDE 56

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.) Diffusion coefficient, usually D ∝ β(E/q)δ convection energy losses

slide-57
SLIDE 57

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.) Diffusion coefficient, usually D ∝ β(E/q)δ convection energy losses diffusive reacceleration

K ∝ v2

ap2/D

slide-58
SLIDE 58

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Propagation

20

Little known about Galactic magnetic field distribution Random distribution of field inhomogeneities propagation well described by diffusion equation

  • ∂ψ

∂t − ∇ · (D∇ − vc)ψ + ∂ ∂pblossψ − ∂ ∂pK ∂ ∂pψ = qsource

  • ften set to 0

(stationary conf.) Diffusion coefficient, usually D ∝ β(E/q)δ convection energy losses diffusive reacceleration

K ∝ v2

ap2/D

Sources (primary & secondary)

slide-59
SLIDE 59

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Analytical vs. numerical

21

How to solve the diffusion equation?

slide-60
SLIDE 60

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Analytical vs. numerical

21

How to solve the diffusion equation? Numerically

3D possible any magnetic field model realistic gas distribution, full energy losses computations time-consuming “black box” + + + ‒ ‒

Strong, Moskalenko, …

DRAGON

Evoli, Gaggero, Grasso & Maccione

e.g.

slide-61
SLIDE 61

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Analytical vs. numerical

21

How to solve the diffusion equation? Numerically

3D possible any magnetic field model realistic gas distribution, full energy losses computations time-consuming “black box” + + + ‒ ‒

Strong, Moskalenko, …

DRAGON

Evoli, Gaggero, Grasso & Maccione

e.g.

(Semi-)analytically

Physical insight from analytic solutions fast computations allow to sample full parameter space

  • nly 2D possible

simplified gas distribution, energy losses + + ‒ ‒ e.g. Donato, Maurin, Salati, Taillet, ...

2h

R = 20kpc

ISM

L 1kpc

vc

slide-62
SLIDE 62

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

E.g. secondary antiprotons

22

Propagation parameters of two-zone diffusion model strongly constrained by B/C This can be used to predict fluxes for other species:

Maurin, Donato, Taillet & Salati, ApJ ’01

(K0, δ, L, va, vc)

TB & Salati, PRD ’07

slide-63
SLIDE 63

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

E.g. secondary antiprotons

22

Propagation parameters of two-zone diffusion model strongly constrained by B/C This can be used to predict fluxes for other species:

Maurin, Donato, Taillet & Salati, ApJ ’01

(K0, δ, L, va, vc)

TB & Salati, PRD ’07

excellent agreement with new data: BESSpolar 2004 PAMELA 2008

  • Adriani et al., PRL ’10

Abe et al., PRL ’08

slide-64
SLIDE 64

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

E.g. secondary antiprotons

22

Propagation parameters of two-zone diffusion model strongly constrained by B/C This can be used to predict fluxes for other species:

Maurin, Donato, Taillet & Salati, ApJ ’01

(K0, δ, L, va, vc)

very nice test for underlying diffusion model!

TB & Salati, PRD ’07

excellent agreement with new data: BESSpolar 2004 PAMELA 2008

  • Adriani et al., PRL ’10

Abe et al., PRL ’08

slide-65
SLIDE 65

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Antiprotons

23

Rather straightforward to handle:

no significant astrophysical sources for completely diffusion dominated

p 10 GeV

¯ p

Uncertainties in flux from DM annihilation much larger than for secondaries!

slide-66
SLIDE 66

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Antiprotons

23

Rather straightforward to handle:

no significant astrophysical sources for completely diffusion dominated

p 10 GeV

¯ p

Uncertainties in flux from DM annihilation much larger than for secondaries!

TB & Salati, PRD ’09

up to ~200 from DM profile

slide-67
SLIDE 67

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Antiprotons

23

Rather straightforward to handle:

no significant astrophysical sources for completely diffusion dominated

p 10 GeV

¯ p

Uncertainties in flux from DM annihilation much larger than for secondaries!

TB & Salati, PRD ’09

up to ~200 from DM profile

TB & Salati, PRD ’09

up to ~40 from range of propagation parameters compatible with B/C

slide-68
SLIDE 68

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Antiprotons

24

TB & Salati, PRD ’09

‒ Cannot be used to

discriminate between DM candidates...

slide-69
SLIDE 69

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Antiprotons

24

TB & Salati, PRD ’09

‒ Cannot be used to

discriminate between DM candidates...

+ …but are quite efficient

in settings constraints!

light SUSY DM non-standard DM profile proposed by deBoer DM explanations for the PAMELA excess “Evidence” for DM seen in Fermi data towards the GC ... e+/e−

Donato et al., PRL ’09 Bottino et al., PRD ’98+05 Bergström et al., JCAP ’06 TB, 0911.1124

slide-70
SLIDE 70

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Positrons

25

Excess in cosmic ray positron data has triggered great excitement: Are we seeing a DM signal ???

Energy (GeV)

0.1 1 10 100

))

  • (e

! )+

+

(e ! ) / (

+

(e ! Positron fraction

0.01 0.02 0.1 0.2 0.3 0.4

Muller & Tang 1987 MASS 1989 TS93 HEAT94+95 CAPRICE94 AMS98 HEAT00 Clem & Evenson 2007 PAMELA

Adriani et al., Nature ’09

(> 500 citations since 10/08!)

slide-71
SLIDE 71

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

SUSY DM and PAMELA

26

Neutralino annihilation helicity suppressed:

σv ∝ m2

m2

χ

slide-72
SLIDE 72

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

SUSY DM and PAMELA

26

Neutralino annihilation helicity suppressed:

σv ∝ m2

m2

χ

αem π

slide-73
SLIDE 73

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

SUSY DM and PAMELA

26

Neutralino annihilation helicity suppressed:

σv ∝ m2

m2

χ

Bergström, TB & Edsjö, PRD ’08

Surprisingly hard spectra possible if dominates!

first attempt to connect PAMELA to DM

HEAT PAMELA

Ee+ [GeV]

e+/(e+ + e−)

Bergstr¨

  • m, Bringmann & Edsj¨
  • (2008)

background

BM3 (mχ=233 GeV) BM5’ (mχ=132 GeV)

5 10 20 50 100 200 0.01 0.02 0.05 0.1 0.2

χχ → e+e−γ

αem π

slide-74
SLIDE 74

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

SUSY DM and PAMELA

26

Neutralino annihilation helicity suppressed:

σv ∝ m2

m2

χ

but: enormous boost factors needed w.r.t. thermal cross section...

Bergström, TB & Edsjö, PRD ’08

Surprisingly hard spectra possible if dominates!

first attempt to connect PAMELA to DM

HEAT PAMELA

Ee+ [GeV]

e+/(e+ + e−)

Bergstr¨

  • m, Bringmann & Edsj¨
  • (2008)

background

BM3 (mχ=233 GeV) BM5’ (mχ=132 GeV)

5 10 20 50 100 200 0.01 0.02 0.05 0.1 0.2

χχ → e+e−γ

αem π

slide-75
SLIDE 75

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Other DM explanations

27

By now, a large number of further DM-related attempts to explain the PAMELA data has appeared on the market Subsequent data seem to confirm the excess Model-independent analysis:

strong constraints on hadronic modes from data favoured large boost factors generic ‒

Bergström, Edsjö & Zaharijas, PRL ’09

¯ p

χχ → e+e− or µ+µ−

O(103)

slide-76
SLIDE 76

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Other DM explanations

27

By now, a large number of further DM-related attempts to explain the PAMELA data has appeared on the market Subsequent data seem to confirm the excess Model-independent analysis:

strong constraints on hadronic modes from data favoured large boost factors generic ‒

Bergström, Edsjö & Zaharijas, PRL ’09

highly non-conventional DM models needed!

¯ p

χχ → e+e− or µ+µ−

O(103)

slide-77
SLIDE 77

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Other DM explanations

27

By now, a large number of further DM-related attempts to explain the PAMELA data has appeared on the market Subsequent data seem to confirm the excess Model-independent analysis:

strong constraints on hadronic modes from data favoured large boost factors generic ‒

Bergström, Edsjö & Zaharijas, PRL ’09

Besides: DM by far not the only explanation... highly non-conventional DM models needed!

¯ p

χχ → e+e− or µ+µ−

O(103)

slide-78
SLIDE 78

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Astrophysical sources

28

Propagation uncertainties not the main problem:

secondaries ~ 2-4 primaries ~ 5

Delahaye et al., A&A ’09 Delahaye et al., PRD ’08

slide-79
SLIDE 79

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Astrophysical sources

28

Propagation uncertainties not the main problem:

secondaries ~ 2-4 primaries ~ 5

Delahaye et al., A&A ’09 Delahaye et al., PRD ’08

i.e. much better than for primary antiprotons: for , energy loss is dominant must be locally produced (~ kpc) very difficult to explain PAMELA data without primary component

slide-80
SLIDE 80

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Astrophysical sources

28

Propagation uncertainties not the main problem:

secondaries ~ 2-4 primaries ~ 5

Delahaye et al., A&A ’09 Delahaye et al., PRD ’08

but: many good astrophysical candidates for primary sources in the cosmic neighbourhood!

pulsars

  • ld supernova remnants

GRB Large arm/interarm difference in SN rate effect of SNR on near dense cloud

Ioka, 0812.4851 Shaviv, Nakir & Piran, PRL ’09 Fujita, Kohri, Yamazaki & Ioka, PRD ’09 Blasi, PRL ’09 Blasi & Serpico, PRL ’09 Grasso et al., ApP ’09 Yüksel, Kistler & Stanev, PRL ’09 Profumo, 0812.4457 Malyshev, Cholis & Gelfand, PRD ’09

i.e. much better than for primary antiprotons: for , energy loss is dominant must be locally produced (~ kpc) very difficult to explain PAMELA data without primary component

slide-81
SLIDE 81

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Astrophysical sources

28

Propagation uncertainties not the main problem:

secondaries ~ 2-4 primaries ~ 5

Delahaye et al., A&A ’09 Delahaye et al., PRD ’08

but: many good astrophysical candidates for primary sources in the cosmic neighbourhood!

pulsars

  • ld supernova remnants

GRB Large arm/interarm difference in SN rate effect of SNR on near dense cloud

Ioka, 0812.4851 Shaviv, Nakir & Piran, PRL ’09 Fujita, Kohri, Yamazaki & Ioka, PRD ’09 Blasi, PRL ’09 Blasi & Serpico, PRL ’09 Grasso et al., ApP ’09 Yüksel, Kistler & Stanev, PRL ’09 Profumo, 0812.4457 Malyshev, Cholis & Gelfand, PRD ’09

i.e. much better than for primary antiprotons: for , energy loss is dominant must be locally produced (~ kpc) very difficult to explain PAMELA data without primary component

see talk by

  • S. Sarkar
slide-82
SLIDE 82

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Multi-messenger approaches

29

So far: DM solution maybe not most natural ‒ but at least an (exciting!) possibility...

slide-83
SLIDE 83

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Multi-messenger approaches

29

So far: DM solution maybe not most natural ‒ but at least an (exciting!) possibility... In order to disentangle these possibilities (astro- physical vs. DM), cleaner spectral signatures are needed

wait for upcoming higher statistics experiments ???

slide-84
SLIDE 84

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Multi-messenger approaches

29

More promising ‒ and probably anyway needed ‒ is the combination of different detection channels! So far: DM solution maybe not most natural ‒ but at least an (exciting!) possibility... In order to disentangle these possibilities (astro- physical vs. DM), cleaner spectral signatures are needed

wait for upcoming higher statistics experiments ???

slide-85
SLIDE 85

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

“A theory of dark matter”

30

Arkani-Hamed, Finkbeiner, Slatyer & Weiner, PRD ’09

idea: introduce new force in dark sector, with

large annihilation rates (Sommerfeld enhancement) later decay:

mφ 1 GeV

a)

χ χ φ φ φ ... mφ ∼ GeV

φ φ φ

χ χ

φ → e+e− or µ+µ− (kinematics!)

slide-86
SLIDE 86

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

“A theory of dark matter”

30

Arkani-Hamed, Finkbeiner, Slatyer & Weiner, PRD ’09

idea: introduce new force in dark sector, with

large annihilation rates (Sommerfeld enhancement) later decay:

mφ 1 GeV

a)

χ χ φ φ φ ... mφ ∼ GeV

φ φ φ

χ χ

φ → e+e− or µ+µ− (kinematics!)

but: strong constraints from (IB) and radio (synchroton)!

γ

Bertone, Bergström, TB, Edsjö & Taoso, PRD ’09

slide-87
SLIDE 87

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Galactic diffuse emission

31

A more conservative approach relies only on local

  • bservations and quantities
  • 4
  • 3
  • 2
  • 1

1 2 3 4 z [kpc] 10

  • 4

10

  • 3

10

  • 2

10

  • 1

10 !e [MeV cm

  • 2 s
  • 1sr
  • 1]

~ "

2 (arbitrary normalization)

D M e C R p r i m a r y secondary at source secondary in ISM Ee = 200 GeV R = 8 kpc

Regis & Ullio, PRD ’09

Φe

slide-88
SLIDE 88

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Galactic diffuse emission

31

A more conservative approach relies only on local

  • bservations and quantities
  • 4
  • 3
  • 2
  • 1

1 2 3 4 z [kpc] 10

  • 4

10

  • 3

10

  • 2

10

  • 1

10 !e [MeV cm

  • 2 s
  • 1sr
  • 1]

~ "

2 (arbitrary normalization)

D M e C R p r i m a r y secondary at source secondary in ISM Ee = 200 GeV R = 8 kpc

Primary/secondary astrophysical source localized at z=0

Regis & Ullio, PRD ’09

Φe

slide-89
SLIDE 89

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Galactic diffuse emission

31

A more conservative approach relies only on local

  • bservations and quantities
  • 4
  • 3
  • 2
  • 1

1 2 3 4 z [kpc] 10

  • 4

10

  • 3

10

  • 2

10

  • 1

10 !e [MeV cm

  • 2 s
  • 1sr
  • 1]

~ "

2 (arbitrary normalization)

D M e C R p r i m a r y secondary at source secondary in ISM Ee = 200 GeV R = 8 kpc

Primary/secondary astrophysical source localized at z=0 DM contribution extended

Regis & Ullio, PRD ’09

Φe

slide-90
SLIDE 90

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Galactic diffuse emission

31

A more conservative approach relies only on local

  • bservations and quantities
  • 4
  • 3
  • 2
  • 1

1 2 3 4 z [kpc] 10

  • 4

10

  • 3

10

  • 2

10

  • 1

10 !e [MeV cm

  • 2 s
  • 1sr
  • 1]

~ "

2 (arbitrary normalization)

D M e C R p r i m a r y secondary at source secondary in ISM Ee = 200 GeV R = 8 kpc

Primary/secondary astrophysical source localized at z=0 DM contribution extended handle on this by Fermi/Planck !?

Regis & Ullio, PRD ’09

Φe

slide-91
SLIDE 91

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Galactic diffuse emission

31

A more conservative approach relies only on local

  • bservations and quantities
  • 4
  • 3
  • 2
  • 1

1 2 3 4 z [kpc] 10

  • 4

10

  • 3

10

  • 2

10

  • 1

10 !e [MeV cm

  • 2 s
  • 1sr
  • 1]

~ "

2 (arbitrary normalization)

D M e C R p r i m a r y secondary at source secondary in ISM Ee = 200 GeV R = 8 kpc

Primary/secondary astrophysical source localized at z=0 DM contribution extended handle on this by Fermi/Planck !?

Regis & Ullio, PRD ’09

10

1

10

2

10

3

10

4

10

5

10

6

E [MeV] 10

  • 5

10

  • 4

10

  • 3

10

  • 2

E

2 J [Mev cm

  • 2 s
  • 1 sr
  • 1]

CR total EGB DM! DM! DMe

  • < l < 360
  • 50
  • < b < 60
  • IC+FSR emission from DM

component could be seen against diffuse background Φe

slide-92
SLIDE 92

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Diffuse -ray constraints

32

Borriello, Cuoco & Miele, PRL ’09

Already EGRET data in some tension with annihilating WIMP explanation of PAMELA Prediction for Fermi: even decaying DM could be excluded!

γ

slide-93
SLIDE 93

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Diffuse -ray constraints

32

Borriello, Cuoco & Miele, PRL ’09

Already EGRET data in some tension with annihilating WIMP explanation of PAMELA Prediction for Fermi: even decaying DM could be excluded!

102 103 104 1023 1024 1025 1026 1027 mΧ GeV Τdec sec

FERMI 10° 20° FERMI Gal. Poles Isotropic

Cirelli, Panci & Serpico, 0912.0663

After 1yr Fermi PAMELA +Fermi +Hess

ψ → µ+µ−, Einasto

τdec[s]

mψ [GeV]

γ

slide-94
SLIDE 94

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Multi-Wavelength

33

E.g. the Galactic Center: An interesting target for multi-wavelength searches! Gamma rays not necessarily most constraining!

Regis & Ullio, PRD ’08 _ _ _ _ _ _ __

_

10

8

10

10

10

12

10

14

10

16

10

18

10

20

10

22

10

24

10

26

10

28

!![Hz] 10

  • 17

10

  • 15

10

  • 13

10

  • 11

10

  • 9

! S"!#![erg s

  • 1 cm
  • 2]

10

  • 6

10

  • 4

10

  • 2

10 10

2

10

4

10

6

10

8

10

10

10

12

10

14

E [eV] EGRET HESS CHANDRA VLT Narayan et al.

Melia & Falcke

J1746-2851 J1745-290

10

1

10

2

10

3

10

4

M! [GeV] 10

  • 28

10

  • 26

10

  • 24

10

  • 22

"v [cm

3s

  • 1]

VLA (D configuration) G L A S T C T A

Nsp b - b _

VLA (LaRosa et al)

excluded by IR/NIR/XR !

slide-95
SLIDE 95

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

How far can we go?

34

Impressive improvements of direct detection limits in recent years! Potential of indirect searches not yet fully capitalized:

small eff. areas (Fermi) relatively short observation times (HESS, VERITAS, MAGIC, …)

CTA will have a greatly improved performance, but has many interesting (astrophysical) targets to observe

access to observation time will continue to be an issue

slide-96
SLIDE 96

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

How far can we go?

34

Impressive improvements of direct detection limits in recent years! Potential of indirect searches not yet fully capitalized:

small eff. areas (Fermi) relatively short observation times (HESS, VERITAS, MAGIC, …)

What could a dedicated future dark matter indirect detection experiment achieve?

Let’s think BIG…!

CTA will have a greatly improved performance, but has many interesting (astrophysical) targets to observe

access to observation time will continue to be an issue

slide-97
SLIDE 97

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes

slide-98
SLIDE 98

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

slide-99
SLIDE 99

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

Best achievable energy threshold?

slide-100
SLIDE 100

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

  • “5@5”
slide-101
SLIDE 101

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

  • “5@5”
slide-102
SLIDE 102

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

aim at Ethr

DMA ≈ 10 GeV

(cf. “5@5”)

Best achievable energy threshold?

slide-103
SLIDE 103

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

Dedicated for DM searches aim at tobs

DMA = 5000 h 5 y

aim at Ethr

DMA ≈ 10 GeV

(cf. “5@5”)

Best achievable energy threshold?

slide-104
SLIDE 104

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

Dedicated for DM searches

Science fiction?

aim at tobs

DMA = 5000 h 5 y

aim at Ethr

DMA ≈ 10 GeV

(cf. “5@5”)

Best achievable energy threshold?

slide-105
SLIDE 105

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

The Dark Matter Array

35

Focus on a CTA-like design with a large array of Cherenkov Telescopes aim at Aeff

DMA ∼ 10 × Aeff CTA 10 km2

Dedicated for DM searches

Science fiction?

aim at tobs

DMA = 5000 h 5 y

aim at Ethr

DMA ≈ 10 GeV

(cf. “5@5”)

Best achievable energy threshold?

Maybe… But should be investigated further!

slide-106
SLIDE 106

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

36

MSSM+mSUGRA scan: ~106 models, 3 WMAP, all collider bounds OK

σ

preliminary!

  • allowed

CDMS excl. SuperCDMS XENON 1t

6 5 4 3 2 1 1 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5

Bergström, Bringmann & Edsjö 2010

log10ΣvmΧ2 1030cm3s1GeV2

log10ΣSI pb

(Bergström, TB & Edsjö, in prep.)

slide-107
SLIDE 107

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

36

MSSM+mSUGRA scan: ~106 models, 3 WMAP, all collider bounds OK

σ

preliminary!

10 orders of magnitude often “missing” in exclusion plots from direct detection! {

  • allowed

CDMS excl. SuperCDMS XENON 1t

6 5 4 3 2 1 1 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5

Bergström, Bringmann & Edsjö 2010

log10ΣvmΧ2 1030cm3s1GeV2

log10ΣSI pb

(Bergström, TB & Edsjö, in prep.)

slide-108
SLIDE 108

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

36

MSSM+mSUGRA scan: ~106 models, 3 WMAP, all collider bounds OK

σ

preliminary!

10 orders of magnitude often “missing” in exclusion plots from direct detection! { CTA/DMA:

assume that angular resolution is good enough to distinguish HESS source from GC; take Fermi background model

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 6 5 4 3 2 1 1 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5

Bergström, Bringmann & Edsjö 2010

log10ΣvmΧ2 1030cm3s1GeV2

log10ΣSI pb

CTA DMA

5y

(Bergström, TB & Edsjö, in prep.)

slide-109
SLIDE 109

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

36

MSSM+mSUGRA scan: ~106 models, 3 WMAP, all collider bounds OK

σ

preliminary!

10 orders of magnitude often “missing” in exclusion plots from direct detection! { CTA/DMA:

assume that angular resolution is good enough to distinguish HESS source from GC; take Fermi background model

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW BF10 6 5 4 3 2 1 1 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5

Bergström, Bringmann & Edsjö 2010

log10ΣvmΧ2 1030cm3s1GeV2

log10ΣSI pb

CTA DMA

5y

(Bergström, TB & Edsjö, in prep.)

slide-110
SLIDE 110

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

36

MSSM+mSUGRA scan: ~106 models, 3 WMAP, all collider bounds OK

σ

preliminary!

10 orders of magnitude often “missing” in exclusion plots from direct detection! { CTA/DMA:

assume that angular resolution is good enough to distinguish HESS source from GC; take Fermi background model

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW adiab. contr. 6 5 4 3 2 1 1 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5

Bergström, Bringmann & Edsjö 2010

log10ΣvmΧ2 1030cm3s1GeV2

log10ΣSI pb

CTA DMA

5y

(Bergström, TB & Edsjö, in prep.)

slide-111
SLIDE 111

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

5y

slide-112
SLIDE 112

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

mixed neutralinos: well suited for direct searches

}

5y

slide-113
SLIDE 113

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

pure Higgsinos: accessible by indirect searches (DMA!) mixed neutralinos: well suited for direct searches

}

5y

slide-114
SLIDE 114

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

high-mass Gauginos: more difficult, but indirect searches OK for favorable DM distributions pure Higgsinos: accessible by indirect searches (DMA!) mixed neutralinos: well suited for direct searches

}

5y

slide-115
SLIDE 115

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

high-mass Gauginos: more difficult, but indirect searches OK for favorable DM distributions pure Higgsinos: accessible by indirect searches (DMA!) mixed neutralinos: well suited for direct searches

}

5y

NB! Sommerfeld effect important in this region not yet included...

slide-116
SLIDE 116

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Direct vs. indirect detection

37

  • allowed

CDMS excl. SuperCDMS XENON 1t Fermi CTA DMA

GC, NFW no boost 100 1000 6 5 4 3 2 1 1 2 3 4 5 6

Bergström, Bringmann & Edsjö 2010

mΧ GeV

log10 Zg1Zg

preliminary! (Bergström, TB & Edsjö, in prep.)

high-mass Gauginos: more difficult, but indirect searches OK for favorable DM distributions pure Higgsinos: accessible by indirect searches (DMA!) mixed neutralinos: well suited for direct searches

}

5y

NB! Sommerfeld effect important in this region not yet included...

  • LHC

(Bruch ’10)

slide-117
SLIDE 117

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Conclusions and Outlook

38

DM detection really “around the corner”?

So far, we have (probably) not seen a real signal but indirect detection experiments seriously start to probe the parameter space of realistic WIMP models

slide-118
SLIDE 118

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Conclusions and Outlook

38

DM detection really “around the corner”?

So far, we have (probably) not seen a real signal but indirect detection experiments seriously start to probe the parameter space of realistic WIMP models

Direct detection experiments, and the LHC, will also (continue to) close in on the nature of DM

make use of complementarity of the different approaches - synergy!

slide-119
SLIDE 119

Torsten Bringmann, University of Hamburg ‒ Indirect Dark Matter Searches

Conclusions and Outlook

38

DM detection really “around the corner”?

So far, we have (probably) not seen a real signal but indirect detection experiments seriously start to probe the parameter space of realistic WIMP models

Direct detection experiments, and the LHC, will also (continue to) close in on the nature of DM

make use of complementarity of the different approaches - synergy!

A dedicated DM experiment like the “Dark Matter Array” could

fully exploit the potential of indirect searches (especially when combined with multiwavelength/-messenger techniques) cover a large part of the parameter space that neither direct nor accelerator searches could hope to reach!