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Learning from Dark Matter direct detection Riccardo Catena Chalmers - - PowerPoint PPT Presentation

Learning from Dark Matter direct detection Riccardo Catena Chalmers University of Technology September 12, 2019 Measuring the local Dark Matter density at direct detection experiments Riccardo Catena Chalmers University of Technology


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Learning from Dark Matter direct detection Riccardo Catena Chalmers University of Technology

September 12, 2019

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Measuring the local Dark Matter density at direct detection experiments Riccardo Catena Chalmers University of Technology

September 12, 2019

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Overview

Local Dark Matter (DM) density, 𝜍loc, and DM-nucleon scattering cross section, 𝜏, are degenerate if the DM scattering rate only depends on their product dℛ dER = 𝜍loc m𝜓mT ∫

|v|>vmin

d3v |v|f (v, t) d𝜏 dER However, when DM is lighter than ∼ 0.5 GeV, spin-independent DM- nucleon scattering cross sections of the order of 10−36 cm2 are still ex- perimentally allowed For these cross section values, the DM velocity distribution becomes a function of the DM-nucleon scattering cross section (the so-called Earth- crossing efgect)

  • B. J. Kavanagh, R. Catena and C. Kouvaris, JCAP 1701 (2017) no.01, 012

This breaks the degeneracy between 𝜍loc and 𝜏

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Overview

If DM lies in this region of parameter space, can we simultaneously measure DM-nucleon scattering cross section and local DM density?

  • R. Agnese et al. [SuperCDMS Collaboration],
  • Phys. Rev. D 95 (2017) no.8, 082002
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Outline

Earth-crossing efgect Quantitative impact on the local DM velocity distribution Application: Extracting the local DM density from a future signal at direct detection experiments Summary

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Earth-crossing efgect

In the standard paradigm f = fhalo, where fhalo is the velocity distribution in the halo However, before reaching the detector, DM particles have to cross the Earth

Detector

The Earth-crossing of DM unavoidably distorts fhalo if DM interacts with nuclei, which implies f ≠ fhalo. I will refer to this distortion as Earth- crossing efgect

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Earth-crossing efgect

Two processes contribute to the Earth-crossing efgect; attenuation and defmection:

Detector

A B

(a) Attenuation

Detector

A B C

(b) Defmection

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Earth-crossing efgect

As a result, the DM velocity distribution at detector can be written as follows: f (v, 𝛿) = fA(v, 𝛿) + fD(v, 𝛿) fA and fD depends on the input fhalo, m𝜓, 𝜏, the Earth composition and 𝛿 = cos−1(⟨ ̂ v𝜓⟩ ⋅ ̂ rdet) Key observation: since 𝛿 depends on the detector position and on time, the same is true for f (v, 𝛿)

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Computing the attenuation term, fA

For DM particles crossing the Earth with velocity v, the survival probability is given by psurv(v) = exp [− ∫

AB

dℓ 𝜇(r, v)] The velocity distribution of particles enter- ing the Earth with velocity v is related to the free halo distribution f0(v) = fhalo(v) by fA(v, 𝛿) = f0(v) psurv(v)

Detector

A B

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Computing the defmection term, fD

Rate of particles entering an infjnitesimal inter- action region at C and scattering into the direc- tion v: [n𝜓 f0(v′) v′ ⋅ dS d3v′][ dpscat P(v′ → v) d3v] where dpscat = dℓ/[𝜇(r, v′) cos 𝛽]. The rate of defmected particles leaving the inter- action region with velocity v can also be written in terms of fD n𝜓 fD(v, 𝛿) v ⋅ dS d3v

Detector

A B C

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Computing the defmection term, fD

The contribution to fD(v, 𝛿) from the interaction point C, and velocities around v′ is fD(v, 𝛿) = dℓ 𝜇(r, v′) v′ v f0(v′)P(v′ → v) d3v′ The fjnal expression for fD is obtained by integrating over dℓ and d3v′. Multiplying f (v, 𝛿) = fA(v, 𝛿) + fD(v, 𝛿) by v2 = |v|2, and integrating over dΩv, one obtains the dark matter speed distribution at detector after Earth- crossing. Comments: v′/v determined by kinematics; fD depends upon 𝜏 through 𝜇 and P(v′ → v).

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Dark matter speed distribution at detector

  • B. J. Kavanagh, R. Catena and C. Kouvaris, JCAP 1701 (2017) no.01, 012

0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 ˜ f(v, γ) [10−3 km/s] Operator O1 − mχ = 0.5 GeV Free γ = 0 γ = π/2 γ = π 100 200 300 400 500 600 700 800 v [km/s] 0.7 0.8 0.9 1.0 1.1 ˜ f(v, γ)/f0(v) 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 ˜ f(v, γ) [10−3 km/s] Operator O8 − mχ = 0.5 GeV Free γ = 0 γ = π/2 γ = π 100 200 300 400 500 600 700 800 v [km/s] 0.5 0.6 0.7 0.8 0.9 1.0 1.1 ˜ f(v, γ)/f0(v) 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 ˜ f(v, γ) [10−3 km/s] Operator O12 − mχ = 0.5 GeV Free γ = 0 γ = π/2 γ = π 100 200 300 400 500 600 700 800 v [km/s] 0.4 0.6 0.8 1.0 1.2 ˜ f(v, γ)/f0(v)

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Earth-crossing efgect / position dependence

In the following, Npert = NfA+fD,𝜏 and Nfree = Nfhalo,𝜏

π 4 π 2 3π 4

π γ = cos−1(ˆ vχ · ˆ rdet) 0.6 0.7 0.8 0.9 1.0 1.1 1.2 Npert/Nfree mχ = 0.5 GeV O1 O8 O12

  • Atten. only

Atten.+Defl.

✛ ✛ ✛

Isotropic scattering Forward scattering Backward scattering

  • B. J. Kavanagh, R. Catena and C. Kouvaris, JCAP 1701 (2017) no.01, 012
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Earth-crossing efgect / time dependence

  • B. J. Kavanagh, R. Catena and C. Kouvaris, JCAP 1701 (2017) no.01, 012

6 12 18 24 time [hours] 0.9 1.0 1.1 1.2 Npert/Nfree LNGS (42.5◦ N)

  • Atten. only

Atten.+Defl. O1 O8 O12 6 12 18 24 time [hours] 0.9 1.0 1.1 1.2 Npert/Nfree CJPL (28.2◦ N) O1 O8 O12 6 12 18 24 time [hours] 0.8 0.9 1.0 1.1 1.2 Npert/Nfree INO (9.7◦ N) O1 O8 O12 6 12 18 24 time [hours] 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 Npert/Nfree SUPL (37.1◦ S) O1 O8 O12

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Comparison with the MC code DAMASCUS

  • T. Emken and C. Kouvaris, JCAP 1710 (2017) no.10, 031
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Comparison with the MC code DAMASCUS

  • T. Emken and C. Kouvaris, JCAP 1710 (2017) no.10, 031
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Reconstructing 𝜍loc and 𝜏 from a future signal

If DM lies in this region of parameter space, can we simultaneously measure DM-nucleon scattering cross section and local DM density?

  • R. Agnese et al. [SuperCDMS Collaboration],
  • Phys. Rev. D 95 (2017) no.8, 082002
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SLIDE 18

Reconstructing 𝜍loc and 𝜏: 1D profjle likelihood

  • R. Catena, T. Emken and B. Kavanagh, in preparation

5 10 15 20 σSI [pb] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 60 0.5 1 1.5 ρloc [GeV/cm3] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 60 2 4 6 8 10 12 σSI [pb] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 200 0.2 0.4 0.6 0.8 1 1.2 ρloc [GeV/cm3] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 200 4 4.5 5 5.5 6 6.5 σSI [pb] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 2000 0.35 0.4 0.45 0.5 ρloc [GeV/cm3] 0.2 0.4 0.6 0.8 1

Probability

Npert ∼ 2000

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Reconstructing 𝜍loc and 𝜏: 2D profjle likelihood

  • R. Catena, T. Emken and B. Kavanagh, in preparation

5 10 15 20 σSI [pb] 0.2 0.4 0.6 0.8 1 1.2 1.4 ρloc [GeV/cm3] Profile likelihood Npert ∼ 60 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 2 4 6 8 10 12 σSI [pb] 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 ρloc [GeV/cm3] Profile likelihood Npert ∼ 200 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 4 4.5 5 5.5 6 6.5 σSI [pb] 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5 0.52 ρloc [GeV/cm3] Profile likelihood Npert ∼ 2000 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

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Summary

Analytic and MC calculations of Earth-scattering efgects can be used to simultaneously extract local DM density and DM-nucleon scattering cross section from data For ∼ 60 signal events, the relative error on 𝜍loc is of a factor of 2; for ∼ 200 signal events is of about 50%; and for ∼ 2000 signal events is of about 10%