• Aucun résultat trouvé

Galactic cosmic rays propagation and dark matter indirect detection

N/A
N/A
Protected

Academic year: 2022

Partager "Galactic cosmic rays propagation and dark matter indirect detection"

Copied!
58
0
0

Texte intégral

(1)

Galactic cosmic rays propagation and dark matter indirect detection

Timur Delahaye

(2)

2/58

Dark matter

(3)

3/58

Dark matter detection

Tf~m

χ/20 t ~ 10-8 s

(4)

4/58

Outline

Recent data

Cosmic ray propagation

Electrons and positron

γ rays

(5)

5/58

Pamela

Adriani et alii Nature 2009

(6)

6/58

Former expectations

(7)

7/58

Fermi & ATIC

(8)

With the courtesy of 8/58

Florent Dubois

HESS

(9)

9/58

Cosmic ray propagation

(10)

10/58

Cosmic ray propagation

(11)

11/58

Cosmic ray propagation

Primary Primary

(12)

12/58

Cosmic ray propagation

Primary Primary

(13)

13/58

Cosmic ray propagation

Secondary Secondary

(14)

14/58

Cosmic ray propagation

Escaping Escaping

(15)

15/58

Cosmic ray propagation

t ∂ J =Q

  x , E ,t = d 4 N d 3 x d E

JE =bloss - DEE E

J =V c − K ∇ 

(16)

16/58

Cosmic ray propagation

t −∇⋅ K ∇ −V c 

∂E bloss − DEE E =Q  x , E ,t + boundary conditions

(17)

Diffusion parameters

Maurin et alii ApJ 2001

(18)

18/58

Energy losses

Adiabatic expansion Bremsstrahlung

Inverse Compton Ionisation

Synchrotron

(19)

19/58

Energy losses

(20)

20/58

Secondary positrons (and electrons)

(21)

21/58

Propagation influence

 T.D,. Lineros,  et alii

 A&A 2009

(22)

22/58

Proton flux influence

 T.D,. Lineros,  et alii

 A&A 2009

(23)

23/58

Cross­section influence

 T.D,. Lineros,  et alii

 A&A 2009

(24)

24/58

Secondary e+

(25)

25/58

Primary sources

e+

Pulsar

e­ γ e­

p α ν

SNR

γ

?

DM

e+ e­ p p

γ ν

(26)

26/58

Source term

Q E = v

m

2 f E

Q E =

m

f E

(27)

27/58

Source term

Q E = v

m

2 f E

Q E =

m

f E

(28)

28/58

Dark matter distribution

(29)

29/58

Dark matter distribution

 T.D,. Lineros,  Donato, 

Fornengo,  & 

Salati

 PRD 2008

(30)

30/58

Source term

Q E = v

m

2 f E

Q E =

m

f E

(31)

31/58

Annihilation channel

(32)

32/58

Annihilation channel

 T.D,. Lineros,  Donato, 

Fornengo,  & 

Salati

 PRD 2008

(33)

33/58

Boost factor

Particle physics

Sommerfeld effect

Resonances

Cosmology

Non­thermal production

Modification of cosmology

Astrophysics

Clumps

Caustics

(34)

34/58

Clumps

Via Lactea 2

Diemand et alii

(35)

35/58

A nearby clump

 Brun, T.D,. 

Diemand, Profumo 

& Salati  PRL 2009

(36)

36/58

Antiprotons

 Maurin, 

Donato, Brun,  T.D,. & Salati  PRL 2008

(37)

37/58

Dark matter problems

Dark matter can explain the data

Boost factor

Antiproton data

BUT

Naturalness ?

(38)

38/58

A deeper look at astrophysical  electrons and positrons

(39)

39/58

Primary sources

e+

Pulsar

e­ γ e­

p α ν

SNR

γ

?

DM

e+ e­ p p

γ ν

(40)

40/58

Astrophysical sources

Q  x , E ,t =Q0 E− eE /Ec x−xst −t s

(41)

41/58

Distant sources

(42)

42/58

Nearby sources

+ radio 

brightness and  spectral index

 T.D., Lineros,  Lavalle et alii.

 A&A in press

(43)

43/58

Results: e+

 T.D., Lineros,  Lavalle et alii.

 A&A in press

(44)

44/58

Results:  e­

 T.D., Lineros,  Lavalle et alii.

 A&A in press

(45)

45/58

Results: e­ + e+

 T.D., Lineros,  Lavalle et alii.

 A&A in press

(46)

46/58

Results: efraction

 T.D., Lineros,  Lavalle et alii.

 A&A in press

(47)

47/58

Recent data

Astrophysical sources can account for all  recent data

There is too much freedom to dismiss a dark  matter interpretation nevertheless

(48)

48/58

γ rays : a new hope

 for dark matter?

(49)

49/58

Inverse Compton and dark matter

Boehm, T.D. & Silk,  submitted to PRL

(50)

50/58

π0 sky

Fiasson, T.D., Salati, 

& Pohl, in prep.

(51)

51/58

Other γ ray components

Bremsstrahlung

Inverse Compton

Synchrotron

electrons

(52)

52/58

Conclusions

Fast analytical methods allow to size all  sources of uncertainties in current 

understanding of cosmic rays.

Recent data can be explained by 

astrophysical sources without fine tuning the  parameters and Dark matter explanation 

seems unnatural.

Dark matter indirect detection is promising  but difficult.

(53)

53/58

Bonus

(54)

54/58

Proton flux

(55)

55/58

Proton flux

(56)

56/58

Proton flux

(57)

57/58

Proton flux

(58)

58/58

Local sources

Références

Documents relatifs

For the evaluation of the CRAND production rate from the Main Rings, the fluxes corresponding to the radial distances of the rings are most impor- tant, therefore we marked the

In the first part, I give an overview of the dark matter indirect detection in gamma-ray studies we have undertaken. After introducing the topic and some experimental highlights,

effect of stellar winds in the disk; the energy loss term ˙p (a spatial dependence is implicit), which is very important for the transport of electrons and positrons (inverse

Preliminary studies of this improved analysis looking for neutrino produced by annihilation of Dark Matter inside the Sun performed on the ANTARES data set collected between 2007

Nous avons utilisé le logiciel SYMBOLS-2000 pour la simulation du circuit électrique équivalent de ce capteur SYMBOLS-2000 est un logiciel de simulation pour la modélisation Bond

We perform a likelihood analysis to derive constraints on the reionization model parameters for a given DM scenario using the Planck determination of the inte- grated optical depth

The second result is that the kinetic energy of rotation of a ball resulting from the compactification of a galactic sized system is enormous, more than thirteen times its own mass

Here, we look at one habitability- related consequence of a weak planetary magnetic field, namely the enhanced flux of galactic cosmic-ray (GCR) particles to the planetary