Title: Looking for signals from dark matter annihilation
1Looking for signals from dark matter annihilation
2Outline
- Introduction - Dark matter production and
annihilation - Status of dark matter detection
- Diffuse gamma excess and its explanation
- Our new result
- Result of positron excess
- conclusion
3Cosmology/astrophysics/particle physics
4H. Baer, A. Belyaev, T. Krupovnickas, J.
OFarrill, JCAP 0408005,2004
- mSUGRA or CMSSM simplest (and most constrained)
model for supersymmetric dark matter - R-parity conservation, radiative electroweak
symmetry breaking - Free parameters (set at GUT scale) m0, m1/2, tan
b, A0, sign(m) - 4 main regions where neutralino fulfills WMAP
relic density - bulk region (low m0 and m1/2)
- stau coannihilation region m? ? mstau
- hyperbolic branch/focus point (m0 gtgt m1/2)
- funnel region (mA,H ? 2m?)
- (5th region? h pole region, large mt ?)
However, general MSSM model versions give more
freedom. At least 3 additional parameters m, At,
Ab (and perhaps several more)
5Evidences cluster scale
- Cluster contains hot gas which is at hydro static
equilibrium. Its temperature follows, - However, X-ray emission measures the temperature
and M/Mvisible20
6Evidences cluster scale
- Weak lensing measures the distortion of images of
background galaxies by the foreground cluster,
which measures the cluster mass. - Sunyaev-Zeldovich distortion measures the
distortion of CMB passing through cluster, which
measure the temperature of the gas and therefore
the mass of the cluster. - other measurements
7Evidences galaxy scale
- From the Keplers law,
for r much larger than the luminous terms, you
should have v?r-1/2 However, it is flat or rises
slightly.
- The most direct evidence of the existence of
dark matter.
Corbelli Salucci (2000) Bergstrom (2000)
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10Evidences cosmological scale
- WMAP measures the anisotropy of CMB, which
includes all relevant cosmological information. A
global fit combined with other measurements gives
(SN, LSS) the cosmological - paramters precisely.
- ?mh20.135-0.009
- ?m0.27-0.04
-
Spergel et al 2003
11Non-baryonic DM
From BBN and CMB, it has ?Bh20.02-0.002.
Therefore, most dark matter should be
non-baryonic. ?DMh20.113-0.009
Non-baryonic dark matter dominates the matter
contents of the of the Universe.
12Energy budget of the universe
13Candidates of the cold dark matter
- There are dozens of theoretical models in the
literature - Weakly Interacting Massive Particles (WIMPs) as
thermal relics of Big Bang is a natural candidate
of CDM-independently proposed by particle
physics. - such as neutralinos, KK states, Mirror particles
The WIMP miracle for typical gauge couplings and
masses of order the electroweak scale, Wwimph2 ?
0.1 (within factor of 10 or so)
14Thermal history of the WIMP (thermal production)
Thermal equilibrium abundance
At T gtgt m, At T lt m, At T m/22,
,decoupled, relic density is inversely
proportional to the interaction strength
For the weak scale interaction and mass scale
(non-relativistic dark matter particles)
, if
and
WIMP is a natural dark matter candidate giving
correct relic density (proposed trying to solve
hierarchy problem).
15Detection of WIMP
- Indirect detection DM increases in Galaxies,
annihilation restarts(??2) ID looks for the
annihilation products of WIMPs, such as the
neutrinos, gamma rays, positrons at the
ground/space-based experiments - Direct detection of WIMP at terrestrial detectors
via scattering of WIMP of the detector material.
indirect detection
Direct detection
16Status of dark matter search
- Direct detection (null results)
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18Indirect detection
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20Diffuse gamma rays of the MW
- COS-B and EGRET (20keV30GeV) observed diffuse
gamma rays, measured its spectra. - Diffuse emission comes from nucleon-gas
interaction, electron inverse Compton and
bremsstrahlung. Different process dominant
different parts of spectrum, therefore the large
scale nucleon, electron components can be
revealed by diffuse gamma.
21Diffuse gamma rays of the MW
- COS-B and EGRET (20keV30GeV) observed diffuse
gamma rays, measured its spectra. - Diffuse emission comes from nucleon-gas
interaction, electron inverse Compton and
bremsstrahlung. Different process dominant
different parts of spectrum, therefore the large
scale nucleon, electron components can be
revealed by diffuse gamma.
22GeV excess of spectrum
- Based on local spectrum gives consistent gamma in
30 MeV500 MeV, outside there is excess. - Harder proton (electron) spectrum explain diffuse
gamma, however inconsistent with antiproton and
positron measurements.
23- Hard proton or electron injection index
24Gamma rays by annihilation
- Monoenergetic line
- Continuous spectrum
A smoking gun of DM ann. The flux is suppressed
due to loop production.
Neutralinos in the dark halo can annihilate into
gamma rays and contribute to the diffuse gamma.
The existence of the minihalos will enhance the
flux.
25Contribution from DM
26Fit the spectrum
Enhancement by substructures
Adjust the propagation parameters
27Is the dark matter interpretation of the EGRET
gamma excess compatible with antiproton
measurements ?
- Astro-ph/0602632
- Lars Bergstr\"om, Joakim Edsj\"o, Michael
Gustafsson
28Our result - The SUSY factor
We scan in the SUSY parameter space to find a
suitable spectrum and large flux. The integrated
flux due to different threshold energy. Points
are different SUSY model
29With and without subhalos
30The first generation object
- Diemand, Moore Stadel, 2005
- Depending on the nature of the dark matter for
neutralino-like dark matter, the first structures
are mini-halos of 10-6 M?. - There would be zillions of them surviving and
making up a sizeable fraction of the dark matter
halo. - The dark matter detection schemes may be quite
different!
31Contributions from different mass ranges of
subhalos
32Calculate cosmic rays
- Adjust the propagation parameters to satisfy all
the observational data and at the same time
satisfy the EGRET data after adding the dark
matter contribution
33Results of different regions
34Our result
35HEAT and positron excess
- HEAT found a positron excess at 8 GeV
- Positron is diffused by GM and lost the
information of direction.
B100-1000
36Enhancement by subhalos
- The average density (for annihilation) is
improved with subhalos. - The corresponding positron flux is improved.
37Result
- The positron fraction can be explained
38Uncertainties in positron flux
- Large uncertainties from propagation
- Uncertainties by the realization of the subhalos
distribution.
39Conclusion
- The direct/indirect detection of DM is
complementary to the collider search of DM.
Multi-messenger approach to final solution of DM
problem. - Taking the contribution from DM annihilation into
account the EGRET data can be explained
perfectly. (Without DM it is difficult to explain
the GeV excess even there are large uncertainties
of cosmic ray propagation). - EGRET data requires the neutralino mass be in the
range 4050 GeV and DM distribution be very
cuspy. Our result is consistent with the
antiproton flux. - Existence of subhalos also help to explain the
positron excess. It also need very cuspy subhalos.
40Problems related with dark matter
- What particle form dark matter?
- Is there one or many spices of dark matter
particles? - What are the dark matters quantum numbers?
- How and when was it produced?
- How to explain the observed value of ?
- How is dark matter distributed?
- The role in structure formation How does
structure form? - The two sides are closely related The nature
certainly affect the structure formation, ex.
hot, cold and warm are different, interacting,
decaying dark matter have implications in
structure formation. - The evidences come from gravitational effects,
which however shed no light on the nature of DM.
On the study of effects other than gravity, we
will show latter that particle physics and
astrophysics/cosmology are closely related.
41cosmology CMB, LSS, lensing Astrophysics, high
energy gamma, neutrino
Dark matter
Particle physics
Collider physics
42From de Boer
43Neutrinos from the sun or the earth
- Density at the solar center is determined by the
scattering, insensitive to the local density - The present data gives
- constraints on the
- parameter space
- IceCube can cover most
- paramter space