CENPA Center for Experimental Nuclear Physics and Astrophysics ! 1 - - PowerPoint PPT Presentation

cenpa
SMART_READER_LITE
LIVE PREVIEW

CENPA Center for Experimental Nuclear Physics and Astrophysics ! 1 - - PowerPoint PPT Presentation

Dark matter search results from DAMIC at SNOLAB Alvaro E. Chavarria University of Washington CENPA Center for Experimental Nuclear Physics and Astrophysics ! 1 Outline Charge-coupled devices to search for dark matter. Response of


slide-1
SLIDE 1

Dark matter search results from DAMIC at SNOLAB

!1

CENPA

Center for Experimental Nuclear Physics and Astrophysics

Alvaro E. Chavarria

University of Washington

slide-2
SLIDE 2

Outline

  • Charge-coupled devices to search for dark matter.
  • Response of DAMIC CCDs to signal and backgrounds.
  • DAMIC at SNOLAB.
  • DM-e scattering search (results).
  • WIMP search (status).

!2

slide-3
SLIDE 3

Charge coupled device

!3

Device is “exposed,” collecting charge until user commands readout

x y

±

Ionizing particle Free charge carriers Fully depleted substrate

Pixel array

15 µm 675 µm

z x x z y σxy σxy ~ z

Silicon band-gap: 1.2 eV Mean energy for 1 e-h pair: 3.8 eV Standard fabrication in semiconductor industry and easy cryogenics (~100 K)

slide-4
SLIDE 4

5 10 15 20 25 30 Energy measured by pixel [keV] 30 25 20 15 10 5 50 pixels 4180 4190 4200 4210 4220 1280 1290 1300 1310 1320 1330 Muon

α

Electron Low-energy candidates

Perfomance

!4

26 − 13 − 13 26 1 10

2

10

3

10

Energy / eV

! = 5.9 eV = 1.6 e- Pixel charge distribution particle identification and background characterization Very low noise and dark current lowest dark current ever measured in a silicon detector: 5x10-22 A/cm2 (at 140 K)

15x15 µm2 pixels

slide-5
SLIDE 5

Detector response

!5

/ pixels

xy

σ 0.2 0.4 0.6 0.8 1 1.2 1.4 Energy / keV 5 5.2 5.4 5.6 5.8 6 6.2 6.4 6.6 6.8 7 20 40 60 80 100 120 140 160 180 200

from front and back

α

Mn K

Front Back

]

ee

Ionization signal [keV

1 −

10 1 10 )

ee

k(E) / k(5.9 keV 0.96 0.98 1 1.02 1.04 1.06 1.08

X-rays Optical photons

x [pix] 1380 1400 1420 1440 1460 y [pix] 1580 1585 1590 1595 1600 1605 1610 1615 Ionization [keVee] >6 2 4

z reconstruction with X rays and cosmic rays CCD linearity down to 40 eVee with

  • ptical photons
slide-6
SLIDE 6

]

nr

[keV

r

E

1 10

]

ee

[keV

e

E

1 −

10 1 10

Dougherty (1992) Gerbier et al. (1990) Zecher et al. (1990) Be (2016)

9

Sb-

124

Antonella (2016) Lindhard, k=0.15

/ ndf

2

  • Prob

0.74 (0.06)

  • 1

f 0.01

  • 0.63

(0.3)

  • 1

f 0.02

  • 1.94

f(3.2) 0.02

  • 0.61

y offset 1.0

  • 1.4

]

ee

[keV

e

E

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

]

  • 1

)

ee

Number of nuclear recoils [(10 eV

200 400 600 800 1000

142 / 154 Best-fit with Monte Carlo spectrum Data - full BeO

Nuclear recoil response

PRD94 082007

!6

Single-recoil spectrum very similar to signal from 3 GeV WIMP. End-point = 3.2 keVr Calibration down to 60 eVee

  • Detector response calibrated with 24

keV neutrons from 9Be(γ,n) reaction.

  • By comparing data and Monte Carlo

spectra, ionization efficiency was measured to be lower than predicted by Lindhard model.

  • Also validates diffusion model at low

energies.

/ pixels

xy

σ 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.005 0.01 0.015 0.02 0.025

Simulation SbAl + FullBe

Monte Carlo reproduces σxy distribution at low energies

Number of events per bin Data <0.15 keVee Simulation

slide-7
SLIDE 7

!7

Energy [keV] 5 6 7 8

1x10 1x1

5510 5515 5520 5525 5530 5535 5540 5545 1640 1660 1680 1700 1720 1740

Pixels can be readout in “groups” and the total charge estimated in a single measurement. Less pixels but same noise per pixel! 3x3 1x1

55Fe from back:

Data shows clear improvement in energy resolution Loss of x, y and z information α-β coincidence

Flexibility in readout

slide-8
SLIDE 8

SNOLAB Installation

!8

16 Mpix CCD Copper module Kapton signal cable Poly- ethylene Lead

  • J. Zhou

6 cm 5.8 g VIB Lead block Cu box with CCDs Kapton signal cable Cu vacuum vessel

slide-9
SLIDE 9

Current status

!9

  • 7 CCDs in stable data taking since 2017

(1 CCD sandwiched in ancient lead).

  • 40 g target mass.
  • Operating temperature of ~140K.
  • Exposure for image: 8h and 24h 


(each image acquisition is followed by a “blank” exposure).

  • 7.6 kg-day of data for background

characterization in 1x1 format.

  • 13 kg-day of data collected for DM

search in 1x100 format.

  • Since Jan 2019, resumed background run

and detector studies (e.g., 125 K

  • peration for lower leakage current) in

preparation for DAMIC-M.

slide-10
SLIDE 10

!10

Pixel distribution of 200 g-d of data in 100 ks exposures Bulk leakage current at the level

  • f 2 e- mm-2 d-1 at ~140 K

CCD 1 CCD 2 CCD 3 CCD 4 CCD 5 CCD 6 CCD 7

  • Select CCDs with constant

leakage current.

  • Compare pixel distribution to

leakage-only hypothesis + signal from DM-e interactions. (Before 4 e- mm-2 d-1 at 105 K)

Leakage current analysis

slide-11
SLIDE 11

DM-e results

!11

arXiv:1907.12628

Best exclusion limit for the absorption of hidden photons with masses 1-10 eV/c2 Best exclusion limits for the scattering of dark matter particles with masses <5 MeV/c2

slide-12
SLIDE 12

!12

WIMP Search

ΔLL = ℒn - ℒs

Gauss signal + flat noise flat noise

  • Remove pedestal and subtract correlated noise.
  • Mask defects: repeating patterns in images.
  • Select images with expected noise profile.
  • Perform a log-likelihood fit for a signal in a moving

window across the image.

Example of one event E = 0.14 keV, σ = 0.5 ΔLL = -130

For every event we have its statistical significance ΔLL above noise, its amplitude (E, energy) and its spread (σx proportional to z)

slide-13
SLIDE 13

Noise rejection

!13

  • We introduce leakage current on the blank (zero-exposure) images

using a simple Poisson model.

  • We run the full cluster extraction to obtain the ΔLL profile for “noise”

clusters.

  • Select a ΔLL value that removes all noise and calculate the event

selection efficiency.

10% efficiency at 50 eVee analysis threshold

dLL dLL

slide-14
SLIDE 14

Background model

!14

0.2 0.4 0.6 0.8 1 1.2 1.4 ]

ee

Energy [keV 0.2 0.4 0.6 0.8 1 1.2 [pixels]

x

σ

Comparison of Back Exponential and WIMP Signal

=0.5 keV α Back Surface Exponential,

  • 2

WIMP Signal, M=2 GeV c

0.2 0.4 0.6 0.8 1 1.2 1.4 ]

ee

Energy [keV 0.2 0.4 0.6 0.8 1 1.2 [pixels]

x

σ 0.5 1 1.5 2 2.5 3 3.5 4

Background model

  • Background model constructed from full particle tracking + detector response

Monte Carlo. Two-D (E, σx) fit to data above 6 keVee with constraints from known radioactive contaminants. D. Baxter’s presentation from yesterday!

  • Dominant systematic uncertainty are radioactive contaminants on the back of

the active region, e.g., implanted 210Pb or 3H migration. Reconstructed depth allows to distinguish from WIMP signal.

Back Front ~5 d.r.u.
 Bulk

22Na

slide-15
SLIDE 15

Expected sensitivity

!15

  • Independent 2D unbinned likelihood fit with background model + WIMP

signal to search for dark matter.

  • Free parameters included in background model to account for

systematic uncertainties.

  • Analysis in its final stages.

Results soon!

  • We use latest background

model and full analysis to generate expected sensitivity.

  • Potential for discovery of

WIMPs with masses 1–2 GeV/c2.

  • Result can exclude a significant

fraction of CDMS II-Si.

slide-16
SLIDE 16

Conclusions

!16

  • DAMIC at SNOLAB has demonstrated CCDs as an excellent

technology for dark matter direct detection.

  • Extensive understanding of CCD response and backgrounds

for an experiment with potential for discovery.

  • Best results for DM scattering with masses <5 MeV/c2.
  • WIMP search data campaign complete. Exposure of 13 kg-d

under analysis. Expect results soon.

  • Particularly good sensitivity for WIMPs with 1-2 GeV/c2.
  • Next step in the program: DAMIC-M. See P. Privitera talk

later today.

slide-17
SLIDE 17

DAMIC Collaboration

Thank you!

!17