Astroteilchenphysik in Deutschland - Status und ... · The most significant excess in the observed...
Transcript of Astroteilchenphysik in Deutschland - Status und ... · The most significant excess in the observed...
Direkte und indirekte Suche nach Dunkler Materie
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Astroteilchenphysik in Deutschland - Status und Perspektiven
Karlsruhe, 30. Sept/1. Okt. 2014
Thomas Schwetz-Mangold
Woraus besteht die Dunkle Materie?
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Evidence for Dark Matter from cosmology Cosmic microwave background
ΛCDM fit using CMB+BAO Planck, 1303.5076
baryons: Ωbh2 = 0.02214± 0.00024
CDM: Ωch2 = 0.1187± 0.0017
DE: ΩΛ = 0.692± 0.010
H0 h = 0.6780± 0.0077
⇒ ΩBΩM
= 0.186± 0.0034
“normal” matter (baryons) can provide only about 19% of the total matterin the universe!
T. Schwetz 24
ΛCDM Fit an CMB + BAOPlanck, 1303.5076
68% Dunkle Energie
27% Dunkle Materie
5% Atome
axino
keV ν
?
Dunkle Materie an der TeV-Skala
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ΩDM ≈ 2× 10−37cm2
σannihv≈ 0.23
Lee, Weinberg, 1977 Bernstein, Brown, Feinberg, 1985 Scherrer, Turner, 1986
“typischer” Annihilationswirkungsquerschnitt:
σannihv ∼g4
2πm2 6× 10−37cm2
g
0.1
4 m
100GeV
−2
• “Weakly Interacting Massive Particle” (WIMP)
• Zusammenhang mit neuer Physik and TeV-Skala?
Experimentelle Suche nach WIMPs
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DM DM
SM SM
Experimentelle Suche nach WIMPs
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DM DM
SM SM
indirekte Suche
PAMELA, FERMI, AMS-2, HESS, IceCube
Experimentelle Suche nach WIMPs
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DM DM
SM SM
indirekte Suche Beschleuniger
PAMELA, FERMI, AMS-2, HESS, IceCube
LHC
Experimentelle Suche nach WIMPs
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DM DM
SM SM
indirekte Suche Beschleuniger
direkte SuchePAMELA, FERMI, AMS-2, HESS, IceCube
LHC
XENON, LUX, CDMS, Edelweiss, DAMA, CoGeNT, CRESST, PICASSO, COUPP,...
Inhalt:• indirekte Suche nach DM
kurze Kommentare zu - 10 GeV Gamma Exess vom gal. Zentrum- 130 GeV FERMI Gamma-Line- Positronanteil in kosmischer Strahlung
• direkte Suche nach DM- Überblick über derzeitige Situation- Status der DM Interpretation von DAMA und CDMS-Si- DM-Halo unabhängige Methoden
• beschränke mich auf WIMPs- z.B.: keine Zeit für 3.5 keV X-ray Linie (warme DM, z.B. steriles Neutrino)
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subjektive Selektion an Themen!
Indirekte Suche nach WIMPs
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DM DM
SM SM
Indirekte Suche nach WIMPs
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DM DM
SM SM
today @ freeze-out
Indirekte Suche nach WIMPs
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DM DM
SM SM
today @ freeze-out
• Wirkungsquerschnitt heute entspricht dem “thermalen” nur für s-Wellen Prozesse (v-unabhängig)
• p-Wellen-Annihilation: σv ~ v2 ⇒@ freeze-out: v2 ~ T/m ~ 0.05 c2 heute: v ~ 10-3 c
FERMI dwarf spheroidials
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10−22
10−23
10−24
10−25
10−26
σv
(cm
3s−
1)
e+e−
Observed Limit
Median Expected
68% Containment
95% Containment
10−22
10−23
10−24
10−25
10−26
σv
(cm
3s−
1)
µ+µ−
101 102 103
Mass (GeV/c2)
10−22
10−23
10−24
10−25
10−26
σv
(cm
3s−
1)
τ+τ−
uu
bb
101 102 103
Mass (GeV/c2)
W+W−
FIG. 5. Constraints on the dark matter annihilation cross section at 95% CL derived from acombined analysis of 15 dwarf spheroidal galaxies assuming an NFW dark matter distribution(solid line). In each panel bands represent the expected sensitivity as calculated by repeatingthe combined analysis on 300 randomly-selected sets of blank fields at high Galactic latitudes inthe LAT data. The dashed line shows the median expected sensitivity while the bands representthe 68% and 95% quantiles. For each set of random locations, nominal J-factors are randomizedin accord with their measurement uncertainties. Thus, the positions and widths of the expectedsensitivity bands reflect the range of statistical fluctuations expected both from the LAT data andfrom the stellar kinematics of the dwarf galaxies. The most significant excess in the observed limitsoccurs for the bb channel between 10GeV and 25GeV with TS = 8.7 (global p-value of p ≈ 0.08).
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Ackermann, 1310.0828
Limit an den DM Annihilationsquerschn.von γ-Strahlung von der kombinierten Analyse von 15 dwarf spheroidial Galaxien
“thermale Xsec” für DM masse ~ 10 GeV
FERMI γ Exess vom galaktischem Zentrum
• GeV excess robust and highly statistically significant
• with a spectrum, angular distribution, and overall nor- malization that is in good agreement with that predicted by simple annihilating dark matter models.
• the signal is very well fit by a 31-40 GeV dark matter particle annihilating to b b with an annihilation cross section of σv = (1.4 − 2.0) × 10−26 cm3/s
• angular distribution of the excess is approximately spherically symmetric and centered around the dynamical center of the Milky Way
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Hooper, Goodenough, 2009, 2010; many more
e.g.: Daylan et al., 1402.6703:
FERMI γ Exess vom galaktischem Zentrum
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Hooper, Goodenough, 2009, 2010; many more
e.g.: Daylan et al., 1402.6703:
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FIG. 14: The quality of the fit (χ2, over 25-1 degrees-of-freedom) for various annihilating dark matter models to the spectrumof the anomalous gamma-ray emission from the Inner Galaxy (as shown in Fig. 5) as a function of mass, and marginalizedover the value of the annihilation cross section. In the left frame, we show results for dark matter particles which annihilateuniquely to bb, cc, ss, light quarks (uu and/or dd), or τ+τ−. In the right frame, we consider models in which the dark matterannihilates to a combination of channels, with cross sections proportional to the square of the mass of the final state particles,the square of the charge of the final state particles, democratically to all kinematically accessible Standard Model fermions, or80% to τ+τ− and 20% to bb. The best fits are found for dark matter particles with masses in the range of ∼20-40 GeV andwhich annihilate mostly to quarks.
FIG. 15: The range of the dark matter mass and annihilation cross section required to fit the gamma-ray spectrum observedfrom the Inner Galaxy, for a variety of annihilation channels or combination of channels (see Fig. 14). The observed gamma-rayspectrum is generally best fit by dark matter particles with a mass of ∼20-40 GeV and that annihilate to quarks with a crosssection of σv ∼ (1− 2)× 10−26 cm3/s.
VII. IMPLICATIONS FOR DARK MATTER
In this section, we use the results of the previous sec-tions to constrain the characteristics of the dark matterparticle species potentially responsible for the observedgamma-ray excess. We begin by fitting various dark mat-ter models to the spectrum of the gamma-ray excess asfound in our Inner Galaxy analysis (as shown in Fig. 5).In Fig. 14, we plot the quality of this fit (χ2) as a function
of the WIMP mass, for a number of dark matter annihila-tion channels (or combination of channels), marginalizedover the value of the annihilation cross section. Giventhat this fit is performed over 25-1 degrees-of-freedom,a goodness-of-fit with a p-value of 0.05 (95% CL) cor-responds to a χ2 of approximately 36.8. We take anyvalue less than this to constitute a “good fit” to the InnerGalaxy spectrum. Excellent fits are found for dark mat-ter that annihilates to bottom, strange, or charm quarks
thermal Xsec
• Galaktisches Zentrum ist eine komplizierte Region (Astrophysik)
• “Exess” abhängig vom Untergrundmodell (kosmische Strahlung im gal. Zentr.)
• keine charakteristische spektrale Signatur
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FERMI γ Exess vom galaktischem Zentrum
• Limits an DM Interpretation von anderen Kanälen (Antiprotonen, Radiowellen, Positronen)
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FERMI γ Exess vom galaktischem Zentrum
Bringmann, Vollmann, Weniger, 1406.6027
Andere “DM-Signale” • FERMI γ-Linie vom galaktischem Zentrum bei
~130 GeV
• zu stark im Vergleich zu typischem Loop-Annihilationsquerschn.
• Signifikanz sinkt
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Weniger, 1303.1798
Bringmann et al., 2012; Weniger, 2012
• Positronanteil in der kosm. Strahlung
• DM-Interpretation benötigt sehr großen Annihilationsquerschnitt (“Boostfaktor” 100~1000)
• In Widerspruch zu Limits in anderen Kanälen (Antiproton, γ-Strahlung,...)
• Astrophysikalische Erklärungen (Pulsare)
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Andere “DM-Signale”
PAMELA, AMS-II (Vortrag v. Andreas Obermeier)
Direkte Suche nach Dunkler Materie
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DM DM
SM SM
Direkte Suche nach Dunkler Materie
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DM DM
SM SM
Direkte Suche - Signatur
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dN
dER∝ ρDM
mDM
v>vmin
d3vdσ
dERvf⊕(v, t)
f⊕(v, t) = f(v + v⊙ + v⊕(t))
Ereignisse / keV :
exponentielles Spektrum jährliche Modulation
Direkte Suche - Status
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CoGeNT
CDMSSi
CRESST
DAMA
XENON10
CDMSLT
KIMS
CDMSGe
XENON100LUX
10. 100 10001045
1044
1043
1042
1041
1040
1039
mΧ GeV
ΣSIcm2
• testen Wirkungsquerschn. ~ 10-45 cm2
• Parameterraum motiviert durch WIMP-Argument (thermal freeze-out)modellabhängig!
Bozorgnia, Catena, Schwetz, 2013Vortrag von Teresa Marrodan
σStreuung < 10-45 cm2 ↔ σAnnih. ~10-36 cm2?
WIMP-Argument vs direkte Suche
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Beispiel: Higgsportal mit fermionischer DM χ1
Λ1(χχ)(H†
H)
WIMP-Argument vs direkte Suche
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Beispiel: Higgsportal mit fermionischer DM χ
χ
χH
SM
SM
χ χ
(A,Z)
H
Annihilation: Streuung:
1
Λ1(χχ)(H†
H)
18
• Ausgeschlossen durch XENON, LUX
• s-Kanal Resonanz bei mχ ≈ mH/2
• pseudo-skalares Higgs-Portal
Lopez-Honorez, TSM, Zupan, 12 1
Λ5(χγ5χ)(H
†H)
1
Λ1(χχ)(H†
H)
WIMP-Argument vs direkte Suche
Hinweise für ein ~10 GeV WIMP?
• DAMA: hoch-signifikantes Signal für jährliche Modulation
• CDMS-Si: 3 Ereignisse, P=0.19% LH-test
• CoGeNT: Ereignis-Überschuss bei niedrigen Energien
• CRESST-II: mehr Ereignisse als nach Untergrundmodell erwartet (~4σ)
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CoGeNT
20
!"#$%&'()*+,)-.+/01+1'+123+4"1"+
Background model is good fit to the data
see also, Aalseth et al., 1401.6234; Davis, McCabe, Boehm, 1405.0495
Bellis, Collar, Fields, Kelso, talk at Astroparticle 2014, Amsterdam
CRESST
21
5
FIG. 5. WIMP parameter space for spin-independent (∼A2)WIMP-nucleon scattering. The 90% C.L. upper limit (solidred) is depicted together with the expected sensitivity (1σC.L.) from the background-only model (light red band). TheCRESST 2σ contour reported in [3] is shown in light blue.The dash-dotted red line refers to the reanalyzed data fromthe CRESST commissioning run [22]. Shown in green are thelimits (90% C.L.) from Ge-based experiments: SuperCDMS(solid)[7], CDMSlite (dashed) [23] and EDELWEISS (dash-dotted) [24]. The parameter space favored by CDMS-Si [4]is shown in light green (90% C.L.), the one favored by Co-GeNT (99% C.L. [2]) and DAMA/Libra (3σ C.L. [25]) inyellow and orange. The exclusion curves from liquid xenonexperiments (90% C.L.) are drawn in blue, solid for LUX [6],dashed for XENON100 [5]. Marked in grey is the limit fora background-free CaWO4 experiment arising from coherentneutrino scattering, dominantly from solar neutrinos [26].
masses and, thus, to clarify the nature of the higher massmaximum (M1). This will be the subject of a blind anal-ysis of additional data collected during the currently on-going run.
The improved performance of the upgraded detectormanifests itself in a significantly improved sensitivity ofCRESST-II for very low WIMP masses. This can beseen by comparing the current limit (solid red line) usingthe data of a single detector to the one obtained fromthe reanalyzed commissioning run data (dash-dotted redline) [22]. For WIMP masses below 3 GeV/c2 CRESST-II probes new regions of parameter space, previously notcovered by other direct dark matter searches.
The sensitivity for light WIMPs can be improved infuture runs by further reducing the background level andenhancing the detector performance. Such improvementsare realistic and substantial gains in sensitivity for lowWIMP masses are possible, even with a moderate targetmass.
ACKNOWLEDGEMENTS
This work was supported by funds of the German Fed-eral Ministry of Science and Education (BMBF), the Mu-nich Cluster of Excellence (Origin and Structure of theUniverse), the Maier-Leibnitz-Laboratorium (Garching),the Science and Technology Facilities Council (STFC)UK, as well as the Helmholtz Alliance for AstroparticlePhysics. We gratefully acknowledge the work of MichaelStanger from the crystal laboratory of the TU Munich.We are grateful to LNGS for their generous support ofCRESST, in particular to Marco Guetti for his constantassistance.
[1] DAMA Collaboration, R. Bernabei et al., Eur. Phys. J.C 73 (2013), arXiv:1308.5109.
[2] CoGeNT Collaboration, C. E. Aalseth et al., Phys. Rev.D 88, 012002 (2013), arXiv:1208.5737.
[3] CRESST Collaboration, G. Angloher et al., Eur. Phys.J. C 72 (2012), arXiv:1109.0702.
[4] CDMS-II Collaboration, R. Agnese et al., Phys. Rev.Lett. 111, 251301 (2013), arXiv:1304.4279.
[5] XENON100 Collaboration, E. Aprile et al., Phys. Rev.Lett. 109, 181301 (2012), arXiv:1207.5988.
[6] LUX Collaboration, D. S. Akerib et al., Phys. Rev. Lett.112, 091303 (2014).
[7] SuperCDMS Collaboration, R. Agnese et al., Phys. Rev.Lett. 112, 241302 (2014).
[8] CRESST Collaboration, G. Angloher et al., Astropart.Phys. 31, 270 (2009), arXiv:0809.1829.
[9] CRESST Collaboration, G. Angloher et al., As-tropart.Phys. 23, 325 (2005), arXiv:astro-ph/0408006.
[10] A. Erb and J.-C. Lanfranchi, CrystEngComm 15, 2301(2013).
[11] A. Münster et al., JCAP 2014, 018 (2014),arXiv:1403.5114.
[12] R. Strauss, (to be published).[13] M. Kiefer et al., AIP Conference Proceedings 1185, 651
(2009).[14] W. Moses, S. Payne, C. W.-S, G. Hull, and B. Reuter,
IEEE Transactions on Nuclear Science 55, 1049 (2008).[15] R. F. Lang et al., (2009), arXiv:0910.4414.[16] C. Cozzini et al., Phys. Rev. C 70, 064606 (2004),
arXiv:nucl-ex/0408006.[17] M. Kiefer, Improving the Light Channel of the CRESST-
II Dark Matter Detectors, PhD thesis, Technische Uni-versität München, 2012.
[18] R. B. Firestone, C. Baglin, and S. Y. F. Chu, Table of
isotopes: 1998 update with CD-ROM (Wiley, New York,NY, 1998).
[19] R. Strauss et al., (2014), arXiv:1401.3332, accepted forpublication in Eur.Phys.J. C (2014).
[20] S. Yellin, Phys. Rev. D 66 (2002),arXiv:physics/0203002.
[21] J. D. Lewin and P. F. Smith, Astropart. Phys. 6, 87(1996).
[22] A. Brown, S. Henry, H. Kraus, and C. McCabe, Phys.Rev. D 85, 021301 (2012), arXiv:1109.2589.
Angloher et al., 1407.3146
Vortrag von Raimund Strauss
• “possible excess over background discussed for the previous run (from 2009 to 2011) is not confirmed”• Interessantes Limit für kleine DM Masse
DAMA modulation & CDMS-Si
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3
FIG. 2. Ionization yield versus recoil energy in all detectorsincluded in this analysis for events passing all signal criteriaexcept (top) and including (bottom) the phonon timing crite-rion. The curved black lines indicate the signal region (-1.8σand +1.2σ from the mean nuclear recoil yield) between 7 and100 keV recoil energies for detector 3 in Tower 4, while thegray band shows the range of charge thresholds across de-tectors. Electron recoils in the detector bulk have yield nearunity. The data are colored to indicate recoil energy ranges(dark to light) of 7–20, 20–30, and 30–100 keV to aid theinterpretation of Fig. 3.
of data taking (∼24 hours ).In yield, events were required to be within +1.2σ and
−1.8σ from the mean of the nuclear recoil yield. Can-didate events were also required to have phonon pulsetiming consistent with a nuclear recoil. In order to takeadvantage of the fact that the timing parameters arebetter measured at high energies, the phonon timingdata-selection cut was optimized in three energy bins:7–20 keV, 20–30 keV, and 30–100 keV [23]. Fig. 1 showsthe nuclear-recoil efficiency i.e., the estimated fraction ofnuclear recoils at a given energy that would be acceptedby these signal criteria, measured using nuclear recoilsfrom 252Cf calibration. The abrupt changes in efficiencyare due to the different detector thresholds and changesto the timing cuts in the three energy bins. Signal ac-ceptance was measured using nuclear recoils from 252Cfcalibration. After applying all selection criteria, the ex-posure of this analysis is equivalent to 23.4 kg-days overa recoil energy range of 7–100 keV for a WIMP of mass10 GeV/c2.
Neutrons from cosmogenic or radioactive processescan produce nuclear recoils that are indistinguishablefrom those from an incident WIMP. Simulations of therates and energy distributions of these processes usingGEANT4 [24] lead us to expect < 0.13 false candidateevents (90% confidence level) in the Si detectors fromneutrons for this exposure with all efficiencies included.
A greater source of background is the misidentifica-tion of surface electron recoils, which may suffer from re-duced ionization yield and thus contribute events to the
4 2 0 2 4 6 810
5
0
5
10
15
20
25N
orm
aliz
ed Y
ield
Normalized Timing
FIG. 3. Normalized ionization yield (standard deviationsfrom the nuclear recoil band centroid) versus normalizedphonon timing parameter (normalized such that the medianof the surface event calibration sample is at -1 and the cutposition is at 0) for events in all detectors from the WIMP-search data set passing all other selection criteria. The blackbox indicates the WIMP candidate selection region. The dataare colored to indicate recoil energy ranges (dark to light) of7–20, 20–30, and 30–100 keV. The thin red curves on the bot-tom and right axes are the histograms of the data, while thethicker green curves are the histograms of nuclear recoils from252Cf calibration data; both are normalized to have the samearbitrary peak value.
WIMP-candidate region; these events are termed “leak-age events”. Prior to looking at the WIMP-candidateregion (unblinding), the expected leakage was estimatedusing the rate of single scatter events with yields consis-tent with nuclear recoils from a previously unblinded Sidataset [25] and the rejection performance of the timingcut measured on low-yield multiple-scatter events from133Ba calibration data. Two detectors used in this anal-ysis were located at the end of detector stacks, so scatterson their outer faces could not be tagged as multiple scat-ters. The rate of surface events on the outer faces of thesetwo detectors were estimated using their single-scatterrates from a previously unblinded dataset presented in[25] and the multiples-singles ratio on the interior de-tectors. The final pre-unblinding estimate for misidenti-fied surface electron-recoil event leakage into the signalband in the eight Si detectors was 0.47+0.28
−0.17(stat.) events.This initial leakage estimate informed the decision to un-blind. After unblinding, we developed a Bayesian es-timate of the rate of misidentified surface events basedupon the performance of the phonon timing cut mea-sured using events near the WIMP-search signal region[21, 25]. Multiple-scatter events below the electron-recoilionization-yield region from both 133Ba calibration andthe WIMP-search data were used as inputs to this model.Because the WIMP-search sample is sparser comparedto the calibration data, the combined estimates are moreheavily weighted towards the calibration data leakage es-timates. Additionally the leakage estimate is corrected
DAMA/LIBRA
CDMS1304.4279
...in Widerspruch zu Limits vonCDMS / XENON / LUX
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CoGeNT
CDMSSi
CRESST
DAMA
XENON10
CDMSLT
KIMS
CDMSGe
XENON100LUX
10. 100 10001045
1044
1043
1042
1041
1040
1039
mΧ GeV
ΣSIcm2
4 6 8 10 12 14 16 18 20 22 24
1042
1041
1040
1039
mΧ GeV
ΣSIcm2
Bozorgnia, Catena, Schwetz, 2013
Spin-unabhängige WW
...in Widerspruch zu Limits vonCDMS / XENON / LUX
23
CoGeNT
CDMSSi
CRESST
DAMA
XENON10
CDMSLT
KIMS
CDMSGe
XENON100LUX
10. 100 10001045
1044
1043
1042
1041
1040
1039
mΧ GeV
ΣSIcm2
4 6 8 10 12 14 16 18 20 22 24
1042
1041
1040
1039
mΧ GeV
ΣSIcm2
Bozorgnia, Catena, Schwetz, 2013
Spin-unabhängige WW
abh. von - Teilchenphysik- Astrophysik
Modifizierte DM-Kern Wechselwirkung?
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Bsp: negative Interferenz von WW an Neutron und Proton:
-1.2 -1 -0.8 -0.6fn / fp
10-4
10-3
10-2
10-1
A2 ef
f / A
2
-1.2 -1 -0.8 -0.6
Si
Na
Ge
I
Xe
F
Cl
CoGeNT
CDMSSiCDMSGe
DAMA
XENON10
CDMSLT
KIMS
XENON100
LUX
CRESST
10. 100 10001042
1041
1040
1039
1038
1037
1036
mΧ GeVΣSIcm2
fnfp
= −0.7
Modifizierte DM-Kern Wechselwirkung?
24
Bsp: negative Interferenz von WW an Neutron und Proton:
• Inelastische Streuung• leichte Austauschteilchen• elektromagnetische WW
Weitere Beispiele für exotische Wechselwirkungen:
-1.2 -1 -0.8 -0.6fn / fp
10-4
10-3
10-2
10-1
A2 ef
f / A
2
-1.2 -1 -0.8 -0.6
Si
Na
Ge
I
Xe
F
Cl
CoGeNT
CDMSSiCDMSGe
DAMA
XENON10
CDMSLT
KIMS
XENON100
LUX
CRESST
10. 100 10001042
1041
1040
1039
1038
1037
1036
mΧ GeVΣSIcm2
fnfp
= −0.7
DM-Halo unabhängiger Vergleich von Experimenten
25
Working in vmin space Fox, Kribs, Tait 1011.1910; Fox, Liu, Weiner, 1011.1915
dNdER
=ρχσ0|F (ER)|2
2mχµ2 η(vmin) with η(vmin) ≡
v>vmin
d3vf⊕(v)
v
consider now
2mχµ2
σ0|F (ER)|2dNdER
= ρχ η(vmin)
r.h.s. is independent ofexperiment (target nucleus)
fix DM mass, transform observedspectrum into function of vminusing the l.h.s. andvmin =
ERmA/(2µ2)
comparison of experimentspossible without specifying r.h.s.
T. Schwetz 22
Dark Matter direct detection
colliding a DM particle (mχ ∼ 100 GeV) with a nucleus(mA ∼ 100 GeV) and DM velocity: v ∼ 10−3c ⇒ non-relativistic
(elastic) recoil energy: ER =2µ2v2
mAcos2 θlab∼ 10 keV
µ ≡ mχmA/(mχ + mA)
minimal DM velocity required to produce recoil energy ER :
vmin =
ERmA2µ2
T. Schwetz 5
Fox, Kribs, Tait, 2010Fox, Liu, Weiner, 2010
26
DM-Halo unabhängiger Vergleich von Experimenten
LUXSuperCDMSDAMACDMSSi
300 400 500 600 700 800024681012
vmin kms
105keV1kg1day1
mΧ12 GeV
Bozorgnia, Schwetz, in prep.
s. auch Gelmini, Gondolo, Kahlhöfer, McCabe,...
27
DM-Halo unabhängiger Vergleich -CDMS-Si versus LUX / SuperCDMS
Bozorgnia, Schwetz, in prep.
LUX LUX
SuperCDMS
SuperCDMS
dashed : Method 1solid : Method 2
5 10 15 20 25 30 35 400.001
0.0050.010
0.0500.100
0.5001.000
mΧ GeV
Probability
gemeinsame Wahrscheinlichkeit für 3 Ereignisse in CDMS-Si und die LUX / SuperCDMS Ergebnisse
berücksichtigt Energie-Information der 3 Si-Ereignisse
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DM-Halo unabhängiger Vergleich -DAMA versus LUX / SuperCDMS / ...
Bozorgnia, Schwetz, in prep.
gemeinsame Wahrscheinlichkeit für Modulationsampl. in DAMA (3. Bin) und die LUX / SuperCDMS Ergebnisse
LUX
LUX
SuperCDMS
SuperCDMS
solid : trivial bounddashed : ve expansion
5 10 15 201010
109
108
107
106
105
mΧ GeV
Probability
5 10 15 20mχ (GeV)
10-1210-1110-1010-910-810-710-610-510-410-310-2
Prob
abili
ty
3
4
5
6
7
Stan
dard
dev
iatio
ns
SIMPLE (SD)SIMPLE (IV)
CDMS LT (IV)
CDMS Si (IV) XE100 (SI)
XE10 (SI)
CDMS LT (SI)
CDMS Si (IV)
XE10 (SI)
solid: general halo, dashed: symmetric halo
Herrero-Garcia, Schwetz, Zupan, 2012
Entwicklung d. Modulation in ve
Zusammenfassung• WIMP-Hypothese wird von allen Seiten getestet
(direkte / indirekte Suchen + LHC)
• mögliche DM Signale, indirekt:- 10 GeV Exess vom galaktischen Zentrum- (130 GeV Linie, Positronanteil)
• mögliche DM Signale, direkt:- DAMA, CDMS-Si (in starkem Widerspruch zu Limits von LUX, XENON, CDMS, ...)
• Die kommenden Jahre werden spannend!
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