Detecting dark matter annihilation at the ground EAS

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Detecting dark matter annihilation at the ground EAS detectors X. J. Bi (IHEP) 2006.

Detecting dark matter annihilation at the ground EAS detectors X. J. Bi (IHEP) 2006. 6. 14

Candidates of the cold dark matter • There are dozens of theoretical models in

Candidates 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. • such as neutralinos, KK states, Mirror particles … The WIMP miracle: for typical gauge couplings and masses of order the electroweak scale, wimph 2 0. 1 (within factor of 10 or so)

Thermal history of the WIMP (thermal production) At T >> m, At T <

Thermal history of the WIMP (thermal production) At T >> m, At T < m, At T ~ m/20, 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. The relic density of dark matter is determined by solving the Boltzmann equation. Thermal equilibrium abundance

Detection of WIMP • Direct detection of WIMP at terrestrial detectors via scattering of

Detection of WIMP • Direct detection of WIMP at terrestrial detectors via scattering of WIMP of the detector material. • Indirect detection looks for the annihilation products of WIMPs, such as the neutrinos, gamma rays, positrons at the ground/space-based experiments c _ p g e+ n c indirect detection c c Direct detection

Indirect detection • Flux is determined by the products of two factors • The

Indirect detection • Flux is determined by the products of two factors • The first factor is the strength of the interaction, determined completely by particle physics • The second factor is by the distribution of DM • The factor is enhanced at the clumps of DM, such as at the GC, subhalos, or at the core of Sun and Earth. • The flux depends on both the astrophysics and the particle aspects.

Effects of non-thermal production Lin et al. , PRL 86, 954 (2001) annihilation cross

Effects of non-thermal production Lin et al. , PRL 86, 954 (2001) annihilation cross section • Large • Help to solve the HEAT, EGRET exotic signal by DM annihilation, while the annihilation signal is too small if they are produced thermally. ~ 1/< vi> ~ 1/(4 m 2 – m. A, H 2)2 too big too small Region for nonthermal prod ~ 10 A, H l/q Large tan : m ~ m. A, H/2

Enhancement by clumpy dark matter • The fluxes of the annihilation products are proportional

Enhancement by clumpy dark matter • The fluxes of the annihilation products are proportional to the annihilation cross section and the DM density square. Fluxes are greatly enhanced by clumps of DM. • The Galactic center and center of subhalos have high density. There are 5%~10% DM of the total halo mass are enclosed in the clumps. o The following characters make subhalos more suitable for DM detection: • GC is heavily contaminated by baryonic processes. • Structures in CDM from hierarchically, i. e. , the smaller objects form earlier and have high density. • Subhalos may be more cuspy profile than the GC. • Mass is more centrally concentrated when an object is in an environment with high density. o

Distribution of the subhalos • N-body simulation (MNRAS 352, 535 (2004) ) gives the

Distribution of the subhalos • N-body simulation (MNRAS 352, 535 (2004) ) gives the probability for a subhalo of the mass m and at the position r with M, host mass, rcl =0. 14 rvirial andα=-1. 9 • The tidal effect will strip the particles beyond a tidal radius, • We get the distribution as

Profiles of the subhalos • Two generally adopted DM profiles are the Moore and

Profiles of the subhalos • Two generally adopted DM profiles are the Moore and NFW profiles • They have same density at large radius, while different slope as r->0 NFW: Moore:

Concentration parameter of subhalos • The are determined by the virial mass and concentration

Concentration parameter of subhalos • The are determined by the virial mass and concentration parameter. For larger C, the DM is more centrally concentrated. • A semi-analytic model: the collapse epoch is determined by the collapsing time of a fraction of the object mass, σ(M*=FM)=δsc; The concentration parameter is determined by another free parameter c(M, z)=K(1+zc)/(1+z). We have taken a standard scale invariant spectrum and the cosmological parameter as in the figure. From the figure, the concentration parameter decreases with the virial mass.

g-rays from the subhalos Reed et al, MNRAS 35 7, 82(2004) g-rays from subhalos

g-rays from the subhalos Reed et al, MNRAS 35 7, 82(2004) g-rays from subhalos source y sun GC g-rays from smooth bkg

g-ray sources from the subhalos Bullock et al. , MNRAS 32 1, 559(2001 )

g-ray sources from the subhalos Bullock et al. , MNRAS 32 1, 559(2001 ) g-rays from subhalos g-rays from smooth bkg

Statistical result • The curves are due to different author’s simulations. • The threshold

Statistical result • The curves are due to different author’s simulations. • The threshold is taken as 100 Ge. V. • The susy factor is taken an optimistic value for neutralino mass between 500 Ge. V and 1 Te. V. • Results are within the field of view of ARGO. X. J. Bi, Nucl. Phys. B 741, 83 (2006)

Gamma ray detection from DM annihilation Complementary capabilities HAWC~0. 04 ICRAB angular resolution duty

Gamma ray detection from DM annihilation Complementary capabilities HAWC~0. 04 ICRAB angular resolution duty cycle area field of view ground-based ACT EAS good fair low high large small large energy resolution good my estimate fair space-based Pair good high small large+ can reorient good, with smaller systematic uncertainties

Search the subhalos at different detectors • Simulation can not predict the position of

Search the subhalos at different detectors • Simulation can not predict the position of subhalos we can only look for subhalos with high sensitivity and large field of view detectors. • Satellite-based experiments, GLAST,AMS 02, have large field of view, high identification efficiency of g/P, while small effective area ~1 m 2 , low threshold energy. • EAS ARGO/MILAGRO/HAWC observatories, have large field of view, (low identification efficiency of g/P), while large effective area ~104 -105 m 2 , high threshold energy and high sensitivity. • Cerenkov telescopes have high angular resolution, high identification efficiency of g/P, large effective area ~104 m 2 , small filed of view.

ASg and ARGO: (High Duty cycle, Large ~100 Ge. V F. O. V) ~Te.

ASg and ARGO: (High Duty cycle, Large ~100 Ge. V F. O. V) ~Te. V 中意合作 ARGO 实验RPC大厅 中日合作 AS γ 实验区闪烁体探测器阵列 ARGO hall, floored by RPC. Half installed. Here comes the two experiments hosted by YBJ observatory. One is call ASg, a sampling detector covering 1% of the area and have been operated for 15 years. The other full coverage one is called ARGO, still under installation. ASg use scintillation counter and ARGO use RPC to detector the arrival time and the number of secondary particles, with which the original direction and energy of CR particle can be restored. ASg has a threshold energy at a few Te. V while ARGO down to about 100 Ge. V. Both experiment have the advantages in high duty cycle and large field of view. Because for both of the experiments there is only one layer of detector, it is very difficult to separate the g ray shower from CR nuclei showers. Working in the similar energy range on mountain Jemez near Los Alamos, by using water cherenkov technique, MILAGRO has two layer of PMT, which enable it a rather good capability to separate g ray from background. Though it locates in a low altitude, has a smaller effective area, it has similar sensitivity to ASg experiment. To combine this technique with high altitude would greatly improve the sensitivity of our current EAS experiments.

Sensitivity study of ARGO X. X. Zhou et al. , ICRC 29 th We

Sensitivity study of ARGO X. X. Zhou et al. , ICRC 29 th We adopt the simulated effective area of ARGO, assuming a constant angular resolution of 1°and energy threshold of 100 Ge. V.

Sensitivity at ARGO(95%C. L. )

Sensitivity at ARGO(95%C. L. )

Sensitivity study of HAWC G. Sinnis et al. , astroph/0403096 We adopt the simulated

Sensitivity study of HAWC G. Sinnis et al. , astroph/0403096 We adopt the simulated effective area of HAWC, assuming a constant angular resolution of 1°and taking energy threshold of 100 Ge. V.

Sensitivity at HAWC (95%C. L. )

Sensitivity at HAWC (95%C. L. )

Summary • Flux of gamma rays from the subhalos of the Milky Way halo

Summary • Flux of gamma rays from the subhalos of the Milky Way halo is calculated. • Sensitivity of the ground EAS detectors, ARGO/HAWC, is studied. We find it is possible to detect the DMA signals (or put constraint on the SUSY parameter space) by these detectors. • Non-thermal production and steep central cusp of the subhalos can help to enhance the DMA signals.