Consequences of a XENONnT/LZ signal for the LHC and thermal dark - - PowerPoint PPT Presentation

consequences of a xenonnt lz signal for the lhc and
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Consequences of a XENONnT/LZ signal for the LHC and thermal dark - - PowerPoint PPT Presentation

Consequences of a XENONnT/LZ signal for the LHC and thermal dark matter production in collaboration with S. Baum, R. Catena, J. Conrad, K. Freese [arXiv:1709.06051, 1712.07969] Martin B. Krauss Partikeldagarna 2018 October 13 th , 2018 Lund


slide-1
SLIDE 1

Consequences of a XENONnT/LZ signal for the LHC and thermal dark matter production

in collaboration with S. Baum, R. Catena, J. Conrad, K. Freese [arXiv:1709.06051, 1712.07969] Martin B. Krauss Partikeldagarna 2018 October 13th, 2018 Lund

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SLIDE 2

Overview

After potential DM discovery, what can we learn about DM properties? XENONnT will start 2019 LHC Run 3 planned start in 2020, 300 fb−1 in 2022 Assuming O(100) XENONnT events in 2021 (˜20 ton×year exposure)

(just below current limits)

Non-relativistic EFT and simplified DM models as framework

→ What predictions can be made for LHC Run 3 monojet (and dijet) searches? → Is a discovery compatible with thermal production? → Using complementarity in DM searches, what can we learn about DM properties? (mass, couplings, spin,...)

1 / 15

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SLIDE 3

Simplified models & EFT

ˆ O1 = 1χ1N ˆ O3 = i ˆ SN ·

  • ˆ

q mN × ˆ v⊥

ˆ O4 = ˆ Sχ · ˆ SN ˆ O5 = i ˆ Sχ ·

  • ˆ

q mN × ˆ v⊥

  • 1N

ˆ O6 =

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ q mN

  • ˆ

O7 = ˆ SN · ˆ v⊥1χ ˆ O8 = ˆ Sχ · ˆ v⊥1N ˆ O9 = i ˆ Sχ ·

  • ˆ

SN × ˆ q mN

  • ˆ

O10 = i ˆ SN · ˆ q mN 1χ ˆ O11 = i ˆ Sχ · ˆ q mN 1N ˆ O12 = ˆ Sχ ·

  • ˆ

SN × ˆ v⊥ ˆ O13 = i

  • ˆ

Sχ · ˆ v⊥ ˆ SN · ˆ q mN

  • ˆ

O14 = i

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ v⊥ ˆ O15 = −

  • ˆ

Sχ · ˆ q mN ˆ SN × ˆ v⊥ · ˆ q mN

  • ˆ

O17 = i ˆ q mN · S · ˆ v⊥1N ˆ O18 = i ˆ q mN · S · ˆ SN

[Fitzpatrick et al., 2012]

i i 2 / 15

slide-4
SLIDE 4

Simplified models & EFT

ˆ O1 = 1χ1N ˆ O3 = i ˆ SN ·

  • ˆ

q mN × ˆ v⊥

ˆ O4 = ˆ Sχ · ˆ SN ˆ O5 = i ˆ Sχ ·

  • ˆ

q mN × ˆ v⊥

  • 1N

ˆ O6 =

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ q mN

  • ˆ

O7 = ˆ SN · ˆ v⊥1χ ˆ O8 = ˆ Sχ · ˆ v⊥1N ˆ O9 = i ˆ Sχ ·

  • ˆ

SN × ˆ q mN

  • ˆ

O10 = i ˆ SN · ˆ q mN 1χ ˆ O11 = i ˆ Sχ · ˆ q mN 1N ˆ O12 = ˆ Sχ ·

  • ˆ

SN × ˆ v⊥ ˆ O13 = i

  • ˆ

Sχ · ˆ v⊥ ˆ SN · ˆ q mN

  • ˆ

O14 = i

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ v⊥ ˆ O15 = −

  • ˆ

Sχ · ˆ q mN ˆ SN × ˆ v⊥ · ˆ q mN

  • ˆ

O17 = i ˆ q mN · S · ˆ v⊥1N ˆ O18 = i ˆ q mN · S · ˆ SN

[Fitzpatrick et al., 2012]

LχGq = i ¯ χ / Dχ − mχ ¯ χχ − 1 4 G′ µν Gµν + 1 2 m2 GGµGµ − λG 4 (GµGµ)2 + i¯ q / Dq − mq ¯ qq − λ3 2 ¯ χγµχGµ − λ4 ¯ χγµγ5χGµ − h3(¯ qγµq)Gµ − h4(¯ qγµγ5q)Gµ . 2 / 15

slide-5
SLIDE 5

Simplified models & EFT

ˆ O1 = 1χ1N ˆ O3 = i ˆ SN ·

  • ˆ

q mN × ˆ v⊥

ˆ O4 = ˆ Sχ · ˆ SN ˆ O5 = i ˆ Sχ ·

  • ˆ

q mN × ˆ v⊥

  • 1N

ˆ O6 =

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ q mN

  • ˆ

O7 = ˆ SN · ˆ v⊥1χ ˆ O8 = ˆ Sχ · ˆ v⊥1N ˆ O9 = i ˆ Sχ ·

  • ˆ

SN × ˆ q mN

  • ˆ

O10 = i ˆ SN · ˆ q mN 1χ ˆ O11 = i ˆ Sχ · ˆ q mN 1N ˆ O12 = ˆ Sχ ·

  • ˆ

SN × ˆ v⊥ ˆ O13 = i

  • ˆ

Sχ · ˆ v⊥ ˆ SN · ˆ q mN

  • ˆ

O14 = i

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ v⊥ ˆ O15 = −

  • ˆ

Sχ · ˆ q mN ˆ SN × ˆ v⊥ · ˆ q mN

  • ˆ

O17 = i ˆ q mN · S · ˆ v⊥1N ˆ O18 = i ˆ q mN · S · ˆ SN

[Fitzpatrick et al., 2012]

LχGq = i ¯ χ / Dχ − mχ ¯ χχ − 1 4 G′ µν Gµν + 1 2 m2 GGµGµ − λG 4 (GµGµ)2 + i¯ q / Dq − mq ¯ qq − λ3 2 ¯ χγµχGµ − λ4 ¯ χγµγ5χGµ − h3(¯ qγµq)Gµ − h4(¯ qγµγ5q)Gµ .

[Dent et al., 2015]

2 / 15

slide-6
SLIDE 6

Simplified models & EFT

ˆ O1 = 1χ1N ˆ O3 = i ˆ SN ·

  • ˆ

q mN × ˆ v⊥

ˆ O4 = ˆ Sχ · ˆ SN ˆ O5 = i ˆ Sχ ·

  • ˆ

q mN × ˆ v⊥

  • 1N

ˆ O6 =

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ q mN

  • ˆ

O7 = ˆ SN · ˆ v⊥1χ ˆ O8 = ˆ Sχ · ˆ v⊥1N ˆ O9 = i ˆ Sχ ·

  • ˆ

SN × ˆ q mN

  • ˆ

O10 = i ˆ SN · ˆ q mN 1χ ˆ O11 = i ˆ Sχ · ˆ q mN 1N ˆ O12 = ˆ Sχ ·

  • ˆ

SN × ˆ v⊥ ˆ O13 = i

  • ˆ

Sχ · ˆ v⊥ ˆ SN · ˆ q mN

  • ˆ

O14 = i

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ v⊥ ˆ O15 = −

  • ˆ

Sχ · ˆ q mN ˆ SN × ˆ v⊥ · ˆ q mN

  • ˆ

O17 = i ˆ q mN · S · ˆ v⊥1N ˆ O18 = i ˆ q mN · S · ˆ SN

[Fitzpatrick et al., 2012]

LχGq = i ¯ χ / Dχ − mχ ¯ χχ − 1 4 G′ µν Gµν + 1 2 m2 GGµGµ − λG 4 (GµGµ)2 + i¯ q / Dq − mq ¯ qq − λ3 2 ¯ χγµχGµ − λ4 ¯ χγµγ5χGµ − h3(¯ qγµq)Gµ − h4(¯ qγµγ5q)Gµ . 2 / 15

slide-7
SLIDE 7

Simplified models & EFT

ˆ O1 = 1χ1N ˆ O3 = i ˆ SN ·

  • ˆ

q mN × ˆ v⊥

ˆ O4 = ˆ Sχ · ˆ SN ˆ O5 = i ˆ Sχ ·

  • ˆ

q mN × ˆ v⊥

  • 1N

ˆ O6 =

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ q mN

  • ˆ

O7 = ˆ SN · ˆ v⊥1χ ˆ O8 = ˆ Sχ · ˆ v⊥1N ˆ O9 = i ˆ Sχ ·

  • ˆ

SN × ˆ q mN

  • ˆ

O10 = i ˆ SN · ˆ q mN 1χ ˆ O11 = i ˆ Sχ · ˆ q mN 1N ˆ O12 = ˆ Sχ ·

  • ˆ

SN × ˆ v⊥ ˆ O13 = i

  • ˆ

Sχ · ˆ v⊥ ˆ SN · ˆ q mN

  • ˆ

O14 = i

  • ˆ

Sχ · ˆ q mN ˆ SN · ˆ v⊥ ˆ O15 = −

  • ˆ

Sχ · ˆ q mN ˆ SN × ˆ v⊥ · ˆ q mN

  • ˆ

O17 = i ˆ q mN · S · ˆ v⊥1N ˆ O18 = i ˆ q mN · S · ˆ SN

[Fitzpatrick et al., 2012]

LχGq = i ¯ χ / Dχ − mχ ¯ χχ − 1 4 G′ µν Gµν + 1 2 m2 GGµGµ − λG 4 (GµGµ)2 + i¯ q / Dq − mq ¯ qq − λ3 2 ¯ χγµχGµ − λ4 ¯ χγµγ5χGµ − h3(¯ qγµq)Gµ − h4(¯ qγµγ5q)Gµ .

[Dent et al., 2015]

2 / 15

slide-8
SLIDE 8

Benchmark points from direct detection

Direct detection can only constrain Meff ≡ 0.1 Mmed √gqgDM . Assume XENONnT(/LZ) detects O(100) (S1) signal events with an exposure of ε = 20ton × year → Calculate Meff for various combinations of couplings and mediators. Operators with larger supression ↓ smaller Meff

Benchmark points

Spin 0 DM Op. gq gDM Meff [GeV] 1 h1 g1 14564.484 1 h3 g4 10260.217 7 h4 g4 4.509 10 h2 g1 10.706 Spin 1/2 DM Op. gq gDM Meff [GeV] 1 h1 λ1 14564.484 1 h3 λ3 7255.068 4 h4 λ4 147.354 6 h2 λ2 0.286 7 h4 λ3 3.188 8 h3 λ4 225.159 10 h2 λ1 10.706 11 h1 λ2 351.589 Spin 1/2 DM Op. gq gDM Meff [GeV] 1 h1 b1 14564.484 1 h3 b5 10260.216 4 h4 ℜ(b7) 188.302 4 h4 ℑ(b7) 3.215 5 h3 ℑ(b6) 6.946 7 h4 b5 4.509 8 h3 ℜ(b7) 287.728 9 h4 ℑ(b6) 3.674 10 h2 b1 10.706 11 h3 ℑ(b7) 223.794 3 / 15

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SLIDE 9

Impact on LHC monojet searches

Translating the O(100) XENONnT

events into regions in the Mmed-σ plane

Mediator necessarily couples to quarks.

→ Can be produced in pp collisions

Can decay into pair of DM particles

(ET

miss)

Initial state radiation (e.g., gluon)

→ jet in detector

Gµ ¯ q q DM DM g gq gDM

Current Limits and projections

For 12.9 fb−1 integrated luminosity → monojet limit σ × A ≈ 40 fb (Event level with selection cuts). For projections after Run 3 we consider scaling with L and √ L.

4 / 15

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SLIDE 10

Monojet predictions

2000 4000 6000 8000 10000 10-10 10-8 10-6 10-4 10-2 1 102 10-10 10-8 10-6 10-4 10-2 1 102 Mmed/GeV ×A/fb

spin 0 DM

  • ˆ

O1(h1, g1)

  • ˆ

O1(h3, g4) spin 1 2 DM

  • ˆ

O1(h1, λ1)

  • ˆ

O1(h3, λ3)

  • ˆ

O4(h4, λ4)

  • ˆ

O8(h3, λ4)

  • ˆ

O11(h1, λ2) spin 1 DM

  • ˆ

O1(h1, b1)

  • ˆ

O1(h3, b5) Limits and projections —— current limit

  • - -

projected sensitivity 300 fb−1 ( √ L) —— projected sensitivity 300 fb−1 (L)

Combining spectral information from direct detection with the discovery or lack of discovery of a monojet signal at the LHC can provide important information about the nature of the DM and mediator.

5 / 15

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SLIDE 11

DM thermal production

DM in the early Universe in thermal equilibrium DM + DM ⇆ SM + SM .

Boltzmann equation

˙ n + 3Hn = −σvMøl(n2 − n2

eq)

with the thermally averaged annihilation cross-section σvMøl = ∞ dǫ K(x, ǫ) σvlab and x = m T .

6 / 15

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SLIDE 12

Results for scalar DM

Simplified models corresponding to spin 0 DM.

ˆ

O7(h4, g4) and ˆ O10(h2, g1) not compatible with the thermal production mechanism for any value

  • f Mmed.

ΩDMh2 much smaller than observed. ˆ

O1(h1, g1) and ˆ O1(h3, g4) generate values for ΩDMh2 which are in general too large

For Mmed ∼ 100 GeV

→ resonant production of DM → compatible with observed relic density AND XENONnT/LZ signal

O1(h1,g1) O10(h2,g1) O1(h3,g4) O7(h4,g4)

50 100 150 200 250 300 10 20 30 40 Mmed/GeV xf

O1(h1,g1) O10(h2,g1) O1(h3,g4) O7(h4,g4)

50 100 150 200 250 300 10-6 0.001 1 1000 106 Mmed/GeV ΩDMh2

7 / 15

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SLIDE 13

Fermionic DM

O1(h1,λ1) O10(h2,λ1) O11(h1,λ2)

50 100 150 200 250 300 10-6 0.001 1 1000 106 Mmed/GeV ΩDMh2

O1(h3,λ3) O4(h4,λ4) O7(h4,λ3) O8(h3,λ4)

50 100 150 200 250 300 10-6 0.001 1 1000 106 Mmed/GeV ΩDMh2

Vector DM

O1(h1,b1) O10(h2,b1) O1(h3,b5) O7(h4,b5)

50 100 150 200 250 300 10-6 0.001 1 1000 106 Mmed/GeV ΩDMh2

O5(h3,ℑ(b6)) O9(h4,ℑ(b6)) O8(h3,ℜ(b7)) O4(h4,ℜ(b7)) O11(h3,ℑ(b7)) O4(h4,ℑ(b7))

50 100 150 200 250 300 10-7 10-5 0.001 0.100 10 1000 Mmed/GeV ΩDMh2

8 / 15

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SLIDE 14

Dependence on mDM and number of signal events

mDM 50 GeV 100 GeV 200 GeV

200 400 600 800 1000 10-5 0.01 10 Mmed/GeV DMh2

signal events 150 50 10

50 100 150 200 250 300 10-6 0.001 1 1000 Mmed/GeV ΩDMh2

9 / 15

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SLIDE 15

Dijet searches

Instead of pair of DM, mediator can

decay in pair of quarks → Pair of jets in the detector

Reconstuct mediator mass from jet

invariant mass mjj Dijet Simulation: WHIZARD (event generation) ↓ PYTHIA8 (hadronization) ↓ DELPHES (detector simulation) ↓ C++/ROOT (analysis)

[pb/TeV]

jj

/dm σ d

(13 TeV)

  • 1

36 fb

CMSPreliminary

Data Fit gg (2.0 TeV) qg (4.0 TeV) qq (6.0 TeV)

/ ndf = 38.9 / 39 = 1.0

2

χ Wide PF-jets > 1.25 TeV

jj

m | < 1.3 η ∆ | < 2.5, | η |

4

10

3

10

2

10 10 1

1 −

10

2 −

10

3 −

10

4 −

10

Dijet mass [TeV] Uncertainty (Data-Fit)

3 − 2 − 1 − 1 2 3 2 3 4 5 6 7 8

[CMS PAS EXO-16-056]

10 / 15

slide-16
SLIDE 16

Simulated Signal

10

2

10

= 0.050

q

mZp = 1.5 TeV, g

1 10

2

10

= 0.050

q

mZp = 2.0 TeV, g 1 −

10 1 10

= 0.050

q

mZp = 2.5 TeV, g 1 −

10 1

= 0.050

q

mZp = 3.0 TeV, g

10

2

10

3

10

= 0.100

q

mZp = 1.5 TeV, g

10

2

10

= 0.100

q

mZp = 2.0 TeV, g

1 10

2

10

= 0.100

q

mZp = 2.5 TeV, g

1 10

= 0.100

q

mZp = 3.0 TeV, g 2

10

3

10

= 0.175

q

mZp = 1.5 TeV, g

10

2

10

3

10

= 0.175

q

mZp = 2.0 TeV, g

10

2

10

= 0.175

q

mZp = 2.5 TeV, g

1 10

= 0.175

q

mZp = 3.0 TeV, g 2

10

3

10

4

10

= 0.250

q

mZp = 1.5 TeV, g

10

2

10

3

10

= 0.250

q

mZp = 2.0 TeV, g

10

2

10

= 0.250

q

mZp = 2.5 TeV, g

1 10

2

10

= 0.250

q

mZp = 3.0 TeV, g

11 / 15

slide-17
SLIDE 17

Dijet limits

preliminary 95% C.L. exclusion limits for vector mediator 36 fb−1(√s = 13 TeV)

12 / 15

slide-18
SLIDE 18

Limits for gχ = 0

preliminary

13 / 15

slide-19
SLIDE 19

Limits for gχ = 0

preliminary

13 / 15

slide-20
SLIDE 20

Limits for gχ = 0

preliminary

13 / 15

slide-21
SLIDE 21

Dijet discovery potential

300 fb−1 (LHC Run 3) preliminary 3000 fb−1 (HL-LHC)

14 / 15

slide-22
SLIDE 22

Conclusions

If DM is a WIMP → good chance of discovery with next generation of detectors Signal at XENONnT/LZ → valubale information beyond DM mass and interaction

strength

Predictions for DM searches at the LHC Test compatibility with thermal production mechanism For most models only resonant production possible (Mmed ≃ 2mDM.) Analysis will be extended to dijets (work in progress)

Using complimentarity in DM searches, we can learn more about DM properties (couplings,spin,...).

15 / 15

slide-23
SLIDE 23

Backup-Slides

slide-24
SLIDE 24

Model selection with XENONnT

Two types of spectra: Type A: maximum at E=0 (q=0) Type B: maximum at E=0 (q=0) Canonical SI and SD interactions are of type A. Use test statistic for model selection q0 = −2 ln

  • L(d |

Θ0, H0) L(d | Θa, Ha)

  • Assumptions:

neglect operator evolution and chiral EFT corrections, no charged mediators and universal quark-mediator couplings

slide-25
SLIDE 25

10000 pseudo-experiments each

slide-26
SLIDE 26

Dependence on mDM

mDM 50 GeV 100 GeV 200 GeV

2000 4000 6000 8000 10000 10-4 10-2 1 102 10-4 10-2 1 102 Mmed/GeV ×A/fb

mDM 10 GeV 30 GeV 50 GeV 200 GeV

2000 4000 6000 8000 10000 10-6 10-4 10-2 1 102 10-6 10-4 10-2 1 102 Mmed/GeV σ×A/fb mDM 10 GeV 30 GeV 50 GeV 100 GeV 200 GeV 2000 4000 6000 8000 10000 1 102 1 102 Mmed/GeV σ×A/fb

Regions in the Mmed − (σ × A) plane that are compatible with the detection of O(100) signal events at XENONnT for three representative simplified models, namely ˆ O1(h3, b5), ˆ O1(h1, b1) and ˆ O11(h1, λ2), and for the DM particle masses mDM = 10, 30, 50, 100 and 200 GeV. Where the cases mDM = 30 GeV and mDM = 100 GeV are omitted, they only marginally differ from the mDM = 50 GeV case.

slide-27
SLIDE 27

Comparison of the models ˆ O1(h1, g1) (left) and ˆ O10(h2, g1) (right)