Direct and Indirect Dark Matter Detection in Models with a Well-Tempered Neutralino

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Direct and Indirect Dark Matter Direct and Indirect Dark Matter Detection Detection in Models with a Well-Tempered in Models with a Well-Tempered Neutralino Neutralino Eun-Kyung Park Florida State University in collaboration with H. Baer (FSU), A. Mustafayev (U. of Kansas) and X. Tata (U. of Hawaii) : JCAP 0701 (2007) 017

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Direct and Indirect Dark Matter Detection in Models with a Well-Tempered Neutralino. Eun-Kyung Park Florida State University in collaboration with H. Baer (FSU), A. Mustafayev (U. of Kansas) and X. Tata (U. of Hawaii) : JCAP 0701 (2007) 017. OUTLINE. Overview of the mSUGRA model - PowerPoint PPT Presentation

Transcript of Direct and Indirect Dark Matter Detection in Models with a Well-Tempered Neutralino

Page 1: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Direct and Indirect Dark Matter Detection Direct and Indirect Dark Matter Detection in Models with a Well-Tempered Neutralinoin Models with a Well-Tempered Neutralino

Eun-Kyung ParkFlorida State University

in collaboration withH. Baer (FSU), A. Mustafayev (U. of Kansas) and

X. Tata (U. of Hawaii) : JCAP 0701 (2007) 017

Page 2: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

OUTLINE

• Overview of the mSUGRA model

• Non-Universal Higgs Model (NUHM 1)

• Non-Universal Gaugino Masses * Mixed Wino Dark Matter (MWDM) * Bino-Wino Co-Annihilation scenario (BWCA) * Low M3 Dark Matter scenario (LM3DM)

• Direct detection cross sections

• Indirect detection rates

• Conclusions

Page 3: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Overview of the mSUGRA model

• Parameter Space :

• WMAP allowed Regions (Green colored regions): Region 1. stau coannihilation at low m0 Region 2. bulk region at low m0 and m1/2 – light sleptons (LEP2 excluded) Region 3. A-funnel – H, A resonance annihilation Region 4. HB/FP region at large m0 – mixed higgsino dark matter (MHDM)

• Limitation of mSUGRA : In most of the parameter space of the mSUGRA model, a value of neutralino relic density is beyond the WMAP bound Motivation for non-universal scalar and gaugino mass models Well-tempered neutralino* models : neutralino composition is adjusted to give the WMAP CDM relic density * N. Arkani-Hamed et al., Nucl.Phys.B741 (2006) 108

,, 2/10 mm

011.0

015.0

2 111.0 hCDM

)(,tan,,, 02/10 signAmm

Page 4: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Overview of Direct DM detections in mSUGRA

• Direct Dark Matter detection rates in the mSUGRA model

* Take * For both signs of - upper branch : HB/FP region (MHDM) - lower branch : stau coannihilation or A-funnel region • Models with a well-tempered neutralin

o Neutralino is typically of mixed bin

o-wino or mixed bino-higgsino state Enhanced direct detection rates d

ue to enhancement of neutralino annihilation rates

0,4.171 0 AGeVmt

Page 5: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Non-Universal Higgs Model (NUHM 1 model) H. Baer (FSU), A. Mustafayev (U. of Kansas), S. Profumo (Caltech),

A. Belyaev (MSU) and X. Tata (U. of Hawaii) : JHEP 0507 (2005) 046

• Parameter space:

• Allow take negative values

• Almost always 2 solutions for relic density• : A-funnel region for any • : HB/FP region for any and

tan

||)( 22

,, dudu HH mmsignm

0m0m

)(,tan,,,, 02/10 signAmmm

0m 2/1m

Page 6: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Non-Universal Gaugino Masses

• are gauginos of U(1), SU(2) and SU(3) respectively

• In mSUGRA : minimal gauge kinetic function equal gaugino masses at GUT scale :

• Motivation for non-universal gaugino mass models : * non-minimal in SUGRA models, e.g. in SUSY GUTs * various string models, e.g. KKLT model * extra-dim SUSY GUTs with gaugino mediated SUSY breaking, e.g. Dermisek-Mafi model

• Generally, the lightest neutralino mass eigenstate is determined by the content of the LSP

Here, W-ino, B

-ino and Higgsino

ABf

321 ,, MMM

ABf

2/1321 mMMM

200,75,24,1ABf )5(SU

)10(SU

Page 7: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Models with Non-Universal Gaugino Masses

• Several ways which can increase the annihilation rate of a bino LSP without gaugino mass universality

* by increasing the wino content of the LSP by reducing the ratio (MWDM) : - or - parameter space : * by allowing co-annihilation between high bino-like and wino-like state

s (BWCA scenario) : - and are of opposite sign - parameter space : * by increasing the higgsino content of the LSP by decreasing the gluin

o mass (LM3DM) : - - parameter space :

)(,tan,),(,, 0212/10 signAMorMmm

)(,tan,),(,, 0212/10 signAMorMmm

)(,tan,,,, 032/10 signAMmm

2/1321 mMMM

213 || MMM

2/1312 mMMM

12 /MM

1M 2M

Page 8: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Mixed Wino Dark Matter : JHEP 0507 (2005) 065

• As increases (decreases) past its mSUGRA value, becomes wino-like relic density decreases WMAP value is reached

1

~Z

)( 21 MM

2hCDM

Page 9: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Bino-Wino Co-Annihilation Scenario : JHEP 0512 (2005) 011

• As increases (decreases) past its mSUGRA value,

becomes wino-like (MWDM) or bino-like but (BWCA) Relic density decreases via bino-wino co-annihilation WMAP value is reached

|)|(|| 21 MM

1

~Z

|)|(|| 21 MM

2hCDM

~

1

~

2

~ZZ

mm

Page 10: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Low M3 Dark Matter Scenario : JHEP

0604 (2006) 041

• mSUGRA : is almost pure bino,

• LM3DM : is mixed higgsino-bino,

1

~Z

3.12 h

1

~Z

1

~Z

11.02 h

Page 11: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

• IsaRes Code (Baer-Belyaev-O’Farrill) : part of Isajet package • NUHM 1 : small case higgsino content of neutralino increa

sed (MHDM)• NUHM 1 : A-funnel case nearly pure bino• LM3DM : low M3 reduce gluino and squa

rk masses reduction of small enough to be MHDM • MWDM 1 upper edge : enhanced bino-wino mixing

and bino-wino-higgsino mixing lower edge : stau coannihilation or A-fun

nel mechanism bino-like• MWDM 2 :higgsino content of neutralino

reduced• BWCA 2 : essentially no mixing between

bino and wino state mainly bino-like

0mm

Direct detection scattering cross section JCAP 0701 (2007) 017

0mm

__

D

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Indirect Detection Rates : in progress

• DarkSUSY 4.1 : P. Gondolo et al, JCAP 0407 (2004) 008• - detection : via neutralino annihilation in the core of the Sun (IceCube) mixed bino-higgsino or bino-wino-higgsino DM lead to largest signals• - detection : via neutralino annihilation in the center of our Galaxy (GLAST) extremely sensitive to neutralino halo distribution

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Indirect Detection Rates : in progress

_

pe

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D

• Detection of antiparticles : via neutralino annihilation in the galactic halo• , - detection (Pamela) and - detection (GAPS)• Sensitive to assumption of halo profile with less clumpy halo distribution : less fluxes e.g. Burkert halo model

_

p e__

D

Page 14: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Conclusions

• Generally, in the mSUGRA model - predicted neutralino relic density is usually above of WMAP measurement - direct detection rates are pessimistically low

• Where the neutralino composition is adjusted to give the WMAP value, (Well-Tempered Neutralino models ) - neutralino is typically of the mixed bino-wino or mixed bino-higgsino states - enhanced neutralino annihilation rates direct detection scattering rates enhanced

• Asymptotic detectable cross section rates in models with a well-tempered neutralino provide targets that various direct CDM detection experiments should aim for.

• Models with significant higgsino components provide the largest signals at indirect detection experiments

• Unknown clumping of neutralino in our galacic halo and center yields a common uncertainty for indirect dark matter experiments

Page 15: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Indirect Detection Rates

Page 16: Direct and Indirect Dark Matter Detection  in Models with a Well-Tempered Neutralino

Dark Matter Density Profile Models

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LM3DM Scenario