Seeking dark matter at the interface ofcollider physics, astrophysics and cosmology

2017.02.25

2016.12.04

MAWATARI, Kentarou
馬渡 健太郎PPP2017, Kyoto - 2017.07.31

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from July/16

Kentarou Mawatari (Osaka U.)

LHC Dark Matter Working Group(LHC DM WG)

PPP2017, Kyoto - 2017.07.31

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Kentarou Mawatari (Osaka U.)

PPP2017, Kyoto - 2017.07.31

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Kentarou Mawatari (Osaka U.)

4

Looking for dark matter• If dark matter has non-direct searchgravitational interactions
with ordinal matter, we canobserve it directly and/or
indirectly.

collider search• Indeed, many types of dark

matter search experiments
are currently on-going allover the world.

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indirect search

Kentarou Mawatari (Osaka U.)

Dark matter Venn diagram
LHC
XMASS
ILC
LUX
Particle physics
CEPC colliders, direct detection XENON
FCC…

Fermi-LAT
AMS-02
Super-K
IceCube…

PPP2017, Kyoto - 2017.07.31

darkmatter
Astrophysics
cosmic rays

Cosmology
CMBgravitational lens/wave

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WMAP
Planck
LIGO
KAGRA
LISA
…

Kentarou Mawatari (Osaka U.)

Dark matter searches at LHC Run-I:
top-down (e.g. Supersymmetry)

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Kentarou Mawatari (Osaka U.)

Dark matter searches at LHC Run-I:
bottom-up (Effective field theory)
missing-energy search• employed contact interaction operators inEFTs (effective field theories).

•The signal is determined by the Lorentz
structure, the DM mass, and the overall
coupling (or the cutoff scale).
easy interpretation to non-collider DMsearches
EFT validation; M★ ≦ (LHC accessible energy)

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Kentarou Mawatari (Osaka U.)

Dark matter searches at LHC Run-I:
bottom-up (Effective field theory)• employed contact interaction operators inEFTs (effective field theories).

•The signal is determined by the Lorentz
structure, the DM mass, and the overall
coupling (or the cutoff scale).
easy interpretation to non-collider DM
searches1502.01518

EFT validation; M★ ≦ (LHC accessible energy)

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Kentarou Mawatari (Osaka U.)

since 2015/12

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10 /30Kentarou Mawatari (Osaka U.)…

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Constraints from LHC, direct, and indirect searches

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DM searches at LHC Run-II
LHC DM WG 1507.00966• is employing simplified DM models.
•The signal is determined by themediator type, the DM and mediator
masses, and the two couplings.

s-channel mediator

Richer phenomenology
Interpretations to non-collider DM
searches are complicated.
t-channel mediator
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s-channel simplified DM models• Simplified DM models (s-channel):- spin-1 mediator- spin-0 mediatorspin-1 mediator• The signal is determined by- the mediator type (V, A, S, P)- the DM and mediator masses- the two couplings
PPP2017, Kyoto - 2017.07.31

LHC DM WG [1507.00966, 1603.04156]

14 /30spin-0 mediator👉 Top-philic DM models
Kentarou Mawatari (Osaka U.)

Signatures of simplified DM models
LHC DM WG [1507.00966, 1603.04156][ATLAS 1604.01306]

missing-energy search
direct detection
relic density
indirect detection
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Signatures of simplified DM models
LHC DM WG [1507.00966, 1603.04156]

missing-energy search
direct detection

mediator searchrelic density
indirect detection
PPP2017, Kyoto - 2017.07.31

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A comprehensive approach to DM studies: simplified top-philic models[1605.09242, JHEP]
52 pages, 23 figs, 8 tables

Arina
Backovic
Heisig"Kraemer"
MaltoniConte, Fuks, Guo#Martini,Vryonidou
Mawatari#HespelPellen"

X=DM
Y=mediator
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BSM phenomenology workflow• take a BSM model (symmetry, particle contents,…), i.e. Lagrangian• derive the Feynman rules Model provider• draw Feynman diagrams for our interesting processes
Matrix-element
computetheamplitude(squared)•Generator• generate parton-level events
DM physics tool
• parton-shower/hadronisation Shower Monte-Carlo programs
DM annihilation
Detector simulation tool
detectoreffect•
DM-N cross section• analysis Recasting tool
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BSM phenomenology workflow• take a BSM model (symmetry, particle contents,…), i.e. Lagrangian• derive the Feynman rules FeynRules• draw Feynman diagrams for our interesting processes
MadGraph• compute the amplitude (squared)• generate parton-level events
micrOMEGAs
parton-shower/hadronisation Herwig, Pythia, Sherpa•
MadDM• detector simulation Fastjet, Delphes• analysis GAMBIT, Checkmate, FastLim, MadAnalysis
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MC tools for Run-2 DM searches
LHC DM WG [1507.00966]

Backovic, Kramer, Maltoni, Martini, KM, Pellen [1508.05327, EPJC]
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FeynRules
MadDM
MG5aMC
micrOMEGAs
PythiaDelphes
MadAnalysis5

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LHC(8TeV) constraints for top-philic DM

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MET + a top-quark pair (NLO)./bin/mg5_aMC>import model DMsimp_s_spin0>generate p p > t t~ xd xd~ [QCD]>output>launch

NLO
predictions
reduce thetheoreticaluncertainty.
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Mono-jet (LO loop-induced)./bin/mg5_aMC>import model DMsimp_s_spin0>generate p p > j xd xd~ [QCD]>output>launchComplementarity between
the different searches.

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Resonance search constraints
Extension of thesearch range isdesirable.

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Relic vs. Direct detection vs. LHC

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13TeV MET constraints on top-philic DM

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PPP2017, Kyoto - 2017.07.31

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Spin-2 mediated simplified DM models
Gravity-mediated DM:
Lee, Park, Sanz [1306.4107, 1401.5301]
Rueter, Rizzo, Hewett [1706.07540]

Kraml, Laa, KM,Yamashita [1701.07008, EPJC]

analyses can constrain• Whichthe model at the LHC ?
analyses can provide the• Whichbest constraint ?
we find some interesting• Can
parameter space ?
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Summary and outlook• 暗黒物質探索(collider + non-collider)のための系統的シミュレーションフレームワークが発展している。

- LHC Dark Matter Working Group- EFT Simplified models UV-completed models (e.g. SUSY)• 高次補正の重要性- 信頼できる生成断面積、理論の不定性の縮小• 一つのDMモデルを多角的に攻める。
• Recasting/reinterpretation の重要性
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