recent results of the cogent dark matter experiment · • geometry: low capacitance, low noise;...
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Recent results of the CoGeNT Dark Matter experiment
Michael G. MarinoCoGeNT Collaboration
Technische Universität München
Moriond EW 20125 Mar 2012
Michael G. Marino Moriond EW, 5 Mar 2012
Outline
• Physics
• CoGeNT - Experiment + Technology
• Analysis, recent results
2
Michael G. Marino Moriond EW, 5 Mar 20123
DM Signals
• Convincing signatures could include:
• Preferred scattering direction
• mass peak (non-WIMP)
• Annual rate modulation
P. Fisher
}sensitivity with P-PC/CoGeNT
Michael G. Marino
Point-Contact Detectors• P-type Point-Contact (P-PC)
• Geometry: low capacitance, low noise; long charge drift times
Luke et al., IEEE trans. Nucl. Sci. 36 , 926(1989).
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Michael G. Marino
Point-Contact Detectors• P-type Point-Contact (P-PC)
• Geometry: low capacitance, low noise; long charge drift times
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P-PC Detector Physics Reach
• Low noise, low threshold (< 1keV)
• Excellent energy resolution
• Low-energy physics (<1 - 10s keV)
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Aalseth, et al., PRL 101, 251301 (2008)
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Michael G. Marino
Dark Matter Limits
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CDMS, 612 kg-d
CoGeNT, 8.4 kg-d
CDMS Collaboration, arXiv:0912.3592; Aalseth, et al., PRL 101, 251301 (2008); DAMA Collaboration, EPJ C56 (2008), 333, arXiv:0804.2741Edelweiss-II, arXiv:1103.4070
DAMA, 820 kg-yr, 3σ allowed region
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Michael G. Marino
CoGeNTCoherent Germanium Neutrino Technology
(and then Dark Matter)
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• 1st detector - DM(Tunnel and Reservoir Plan, TARP)
PRL 101, 251301 (2008)
• 2nd detector (R&D) -Soudan
• 3rd (current) detector (DM) - Soudan PRL 106, (2011) 131301
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E. Fuller, J. OrrellMoriond EW, 5 Mar 2012
Michael G. Marino
NIM Crate
Detector Preamp
777 (fast)Amp
Spec (shaping)
Amp
NI Digitizer
High gain
Low gain
Low gain
High gain
Muon Veto
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What do we read out?
Only charge!
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t [ns]0 50 100 150 200 250 300 350
310!
AD
C
-0.01
-0.008
-0.006
-0.004
-0.002
0
0.002
0.004
0.006
0.008
Channel: 0, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
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0.004
0.006
0.008
0.01
0.012
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0.022
Channel: 2, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
0.01
0.02
0.03
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0.05
Channel: 4, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
0.01
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0.05
Channel: 5, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
-0.01
-0.008
-0.006
-0.004
-0.002
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0.006
0.008
Channel: 0, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
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0.004
0.006
0.008
0.01
0.012
0.014
0.016
0.018
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0.022
Channel: 2, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
0.01
0.02
0.03
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0.05
Channel: 4, Time (s): 1147.27
t [ns]0 50 100 150 200 250 300 350
310!
AD
C
0
0.01
0.02
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Channel: 5, Time (s): 1147.27
Time (μs)0 400
AD
C c
ount
s
Unshaped: Pulse-shape analysis
Shaped: Trigger, energy
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Even
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Energy (keV)2 4 6 8 10 12 14
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Energy (keV)1 1.5 2 2.5 3
Two energy channels
• Peaks in data arise from L-/K-electron-capture decays of cosmogenics
• Peaks are centered at the L/K characteristic energies of the daughter nuclei
Data output
Michael G. Marino
Analysis cuts
• Three cuts:
• Liquid Nitrogen fills
• Microphonics cuts - analyze ratios of shaped channels (Morales, et al., NIM A 321 (1992) 410)
• Rise-time cuts - Previous results indicated slow-pulse ‘contamination’
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Michael G. Marino
Rise-time vs. Energy
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Energy (keV)0 10 20 30 40 50 60 70 80
s)µ
10-9
0 R
iset
ime
(
0
1
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1
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510
Incomplete charge collection near the dead layer
t [ns]0 5000 10000 15000 20000 25000
Volta
ge (V
)
-0.03
-0.025
-0.02
-0.015
-0.01
-0.005
0
0.005
0.01
s): 1.164833, Amplitude (keV): 0.855480µRise time (
t [ns]0 5000 10000 15000 20000 25000
Cur
rent
(a.u
.)
-0.0014
-0.0012
-0.001
-0.0008
-0.0006
-0.0004
-0.0002
0
Savitzky-Golay Derivative Moriond EW, 5 Mar 2012
Michael G. Marino
Extracting Physics
• Energy spectrum (e.g. WIMP exclusion)
• PRL 106, (2011) 131301.
• Time (+ energy) spectrum, look for modulation
• Subtraction analysis (U Chicago)
• 2-D ML fit analysis (U Washington)
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Data set
• 4 Dec 2009 - 6 Mar 2011 (just before Soudan fire)
• 442 live days, 458 days span
• 3 periods of down time (lab-scheduled maintenance)
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Michael G. Marino
Time analysis
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• 2-D time vs. energy analysis across both channels
• Constrain L/K electron-capture peaks by their well-measured ratios
• Add floating oscillation PDF in low-energy channel
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Ev
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Low energy
Energy (keV)0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8
68Ge65Zn
All the rest
Michael G. Marino 18
Ev
en
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210
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High Energy
Energy (keV)4 6 8 10 12 14
73As
68Ge68Ga65Zn
58Co
55Fe54Mn
49V
Energy Channel
Prelim
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Michael G. Marino
Lifetimes
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Co58 Ge68 Cr51 As73 Zn65
Life
time
(day
s)
0
50
100
150
200
250 Expected
Measured
Prelim
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Prelim
Model with Oscillation
NULL Model
Raw data
Prelim
Livetime corrected
Time channel
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Michael G. Marino
Phase vs. Period
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Period (Years)0.5 1 1.5 2 2.5 3
Phas
e
-0.5
-0.4
-0.3
-0.2
-0.1
0
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0.5
Prelim
Best fit point:
Phase: 49.9 d (Min ~23 Oct)
Period: 339.5 d
1 σ2 σ
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Michael G. Marino
Fit summary
• ML fit
• Min 23 Oct, Period: 339.5 d, Ampl: 17.7 ± 6.5 %, significance 94.6%
• Subtraction (PRL 107 (2011) 141301)
• Min 16 Oct ± 12 d, period 347 ± 29 d, Ampl: 16.6 ± 3.8 %, significance 99.4%
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Michael G. Marino
Muon modulation• MINOS muon flux modulation measured in Soudan
• Approximately +/-1.5%• Peaks three months after best fit to present CoGeNT data.• A 1.5% modulation of the estimated 339 +/- 68 muon-induced
events in shielding predicts a modulation of 5 events in the 0.5-3 keVee energy range
Courtesy Alec T. Habig
Slide: M. Kos, PNNL
• The CoGeNT data set contains 2124 events in the 0.5-3 keVee energy range. A 5 event modulation of muon induced events could only produce a 0.2% modulation effect in the CoGeNT data set.
Moriond EW, 5 Mar 2012
Michael G. Marino
Radon Modulation
• Radon levels modulate underground – Measured by MINOS• Modulation out of phase!
• Also: Look at data out to 300 keV• Infer the maximum number of
events due to Rn in the data• 2.8 events in 0.5 – 3.0 keV
CoGeNT Data
Slide: M. Kos, PNNL
Prelim
Moriond EW, 5 Mar 2012
Michael G. Marino
Summary• Recent CoGeNT data consistent with an
annual modulation at low energies, PRL 107 (2011) 141301, this is confirmed by two fully independent analyses
• Background analyses suggest muons and Rn can not account for this modulation, still investigating other possibilities
• Longer paper in preparation detailing analysis
• Detector is back up and running, data not yet analyzed
25 Moriond EW, 5 Mar 2012
Michael G. Marino
CoGeNT collaboration
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C.E. Aalseth,1 P.S. Barbeau,2 J. Colaresi,3 J.I. Collar,2 J. Diaz Leon,4 J.E. Fast,1 N. Fields,2
T.W. Hossbach,1, 2 M.E. Keillor,1 J.D. Kephart,1 A. Knecht,4 M.S. Kos,1 M.G. Marino,4
H.S. Miley,1 M.L. Miller,4 J.L. Orrell,1 D.C. Radford,5 J.F. Wilkerson,6 and K.M. Yocum3
(CoGeNT Collaboration)1Pacific Northwest National Laboratory, Richland, WA 99352, USA
2Kavli Institute for Cosmological Physics and Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, USA3CANBERRA Industries, Meriden, CT 06450, USA
4Center for Experimental Nuclear Physics and Astrophysics and Departmentof Physics, University of Washington, Seattle, WA 98195, USA5Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
6Department of Physics and Astronomy, University of North Carolina, NC 27599, USA
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Extra Slides
Michael G. Marino Moriond, 5 Mar 2012
Significance
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/ ndf 2r 93.3 / 40norm 0.0052± 0.4531 k 0.024± 3.677
(A=0))max - ln Lmax2*(ln L0 2 4 6 8 10 12 14 16 18 20 22
Rel
ativ
e co
unts
-410
-310
-210
-110
/ ndf 2r 93.3 / 40norm 0.0052± 0.4531 k 0.024± 3.677
Prelim
• Generate many toy models of NULL hypothesis, fit to signal + background, calc:
Fit to χ2 dist
2 (logL(B)
max
� logL(B = 0))
Michael G. Marino 29
Analysis Tools
• pyWIMP - Extensions to RooFit for 1-,2-D (Energy/Time) DM fitting
• Tools - Generic oscillations, WIMP models, efficiently deal with data-taking gaps
• Available: http://github.com/mgmarino/pyWIMP
Energy (keV)
0 0.5 1 1.5 2 2.5 3 Time (years)
01
23
4
(cou
nts/
keV/
kg/y
r/pb)
-1m
dEdR 1
10
210
310
2-D PDF of 10 GeV WIMP in Ge
Moriond EW, 5 Mar 2012
Background estimates
Backgrounds in low-energy region (0.5 – 3 keVee)
Cavern neutrons (from radioactivity)Tritium β-decay
Muon-induced neutrons
Background sum
PRELIMINARY
Slide: M. Kos, PNNL
Muon-induced neutrons temporal variation
Muon veto cut is not applied in modulation analysis
Veto does not change energy spectrum after dead time correctionVeto efficiency fluctuations might lead to false modulation
Applying muon veto does not remove the modulation
Just reduces event rangeMINOS muon flux modulation measured in Soudan
Approximately +/-1.5%Peaks three months after best fit to present CoGeNT data.Including simulated muon-induced neutron component lessons the ~1.5% muon modulation
Courtesy Alec T. Habig
PRELIMINARY
Slide: M. Kos, PNNL
Rise-time Studies
Michael G. Marino Moriond, 5 Mar 2012
Rise-time studies, estimating efficiencies
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Simulate pulses (shape,
noise, etc.)
Run through Analysis
chain
Derive cut acceptances
Check against data
Michael G. Marino Moriond, 5 Mar 2012
Check cut against data• Take cut
• Fit spectrum (peaks + exponential + flat background)
• Extract component amplitude information
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Energy (keV)2 4 6 8 10 12 14
Michael G. Marino Moriond, 5 Mar 2012
Check cut against data• Take cut
• Fit spectrum (peaks + exponential + flat background)
• Extract component amplitude information
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Energy (keV)2 4 6 8 10 12 14
68Ge65Zn
65Zn 68Ga68Ge
73As
Michael G. Marino Moriond, 5 Mar 2012
20% 30% 40% 50% 60% 70% 80% 90% 95% 99% LN+micro
(Rel
ativ
e Ef
ficie
ncy)
/(Est
imat
ed E
ffici
ency
)
0
0.5
1
1.5
2
2.5
3Zn (8.98 keV)65
As (11.1 keV)73
Ga (9.66 keV)68
Ge (10.37 keV)68
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Check cuts against data
Michael G. Marino Moriond, 5 Mar 2012
20% 30% 40% 50% 60% 70% 80% 90% 95% 99% LN+micro
(Rel
ativ
e Ef
ficie
ncy)
/(Est
imat
ed E
ffici
ency
)
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1
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1.4
1.6
1.8
2
Ge (1.3 keV)68
Zn (1.1 keV)65
Check cuts against data
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Michael G. Marino Moriond, 5 Mar 2012
20% 30% 40% 50% 60% 70% 80% 90% 95% 99% LN+micro
(Rel
ativ
e Ef
ficie
ncy)
/(Est
imat
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ffici
ency
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Flat bkgd component
Exponential bkgd component
Check cuts against data
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Michael G. Marino Moriond, 5 Mar 2012
Rise-time summary
• Sim used to derive cut acceptances
• Efficiency of cuts cross-checked using peaks, work well to at least 1 keV
• Fiducial volume cut: 0.4 → 0.33 kg active mass
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Stability Studies
Michael G. Marino Moriond, 5 Mar 2012
Stability
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arXiv:1106.0650
Trigger, noise
Michael G. Marino Moriond, 5 Mar 2012
Axioelectric Limits
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Axion Mass (keV)1 10
eeag
-1310
-1210
-1110
-1010
-910
siSolar
Globular Clusters
DAMA (Corrected)CDMS 2009CoGeNT 2008This result
CDMS: PRL 103 (2009) 141802Solar neutrinos: PRD 79 (2009) 107301Globular clusters PRD 51 (1995) 1495
WIMP (Energy only)
Michael G. Marino Moriond, 5 Mar 2012
Extracting WIMP limits
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Energy (keV)0.5 1 1.5 2 2.5 3 3.5
Energy (keV)0.5 1 1.5 2 2.5 3 3.5
Cou
nts/
keV/
kg/d
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10
15
20
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• ML-based exclusion calculation
• Background uncertainty handled as nuisance pars:
Rolke, et al., NIM A 551 (2005) 493 90% CL exclusion of 8 GeV WIMP
Michael G. Marino Moriond, 5 Mar 2012
Low-mass WIMP limits
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WIMP Mass [GeV/c2]
Cro
ssïs
ectio
n [c
m2 ] (
norm
alis
ed to
nuc
leon
)
100 101 10210ï42
10ï41
10ï40
10ï39
10ï38
CDMS, 612 kg-d
CDMS Collaboration, arXiv:0912.3592; DAMA Collaboration, EPJ C56 (2008), 333, arXiv:0804.2741
DAMA, 820 kg-yr,3σ, 5σ allowed
region
Black (49.7 kg-d): solid 70% RT cutdashed 95% RT cut