Romualdo Santoro Università dell’Insubria Integration of SiPM in a high-pressure noble gas...
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Romualdo Santoro Università dell’Insubria Integration of SiPM in a high-pressure noble gas scintillation detector for homeland security M. Caccia, V. Chmill,
Romualdo Santoro Universit dellInsubria Integration of SiPM in
a high-pressure noble gas scintillation detector for homeland
security M. Caccia, V. Chmill, S. Martemiyanov Insubria R. Chandra,
G. Davatz, U. Gendotti Arktis
Slide 2
MODES_SNM R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 2 Modular Detector System for Special Nuclear Material
Approved by the European Commission within the Framework Program 7
The Main Goal is the development of a system with detection
capabilities of difficult to detect radioactive sources and special
nuclear materials Neutron detection with high rejection power -rays
spectrometry Other requirements Mobile system Scalability and
flexibility to match a specific monitoring scenario Remote control,
to be used in covert operations
Slide 3
Baseline technology R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 3 The Arktis technologies is based on the use of
4 He for the neutrons detection The main key features of 4 He
Reasonably high cross section for n elastic scattering Good
scintillating properties Two component decays, with at the ns and s
levels Cheaper and easier to be procured wrt 3 He 44 cm diameter x
47 cm sensitive length 180 bar 4 He sealed system maintaining gas
purity R. Chandra et al., 2012 JINST 7 C03035
Slide 4
MODES_SNM System overview R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 4 Modular system optimized for: Fast neutron ( 4
He) Thermal neutron ( 4 He with Li converter) Gamma (Xe) All
components are being integrated, we are approaching the
commissioning and qualification phase With -ray spectroscopy
capability
Slide 5
MODES_SNM R&D R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 5 The project baseline is based on PMTs coupled with
scintillating material R&D activities was planned since the
beginning to investigate the possibility of using SiPM as light
detector Why SiPM is so appealing? high sensitivity (single photon
discrimination) compactness, robustness, low operating voltage and
power consumption low cost
Slide 6
SiPM R. Santoro 13th Topical Seminar on Innovative Particle and
Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena, Italy 6 SiPM is
a High density (~10 3 /mm 2 ) matrix of diodes with a common
output, working in Geiger-Mller regime Common bias is applied to
all cells (few % over breakdown voltage) Each cell has its own
quenching resistor (from 100kto several M) When a cell is fired an
avalanche starts with a multiplicative factor of about 10 5 -10 6
The output is a fast signal (T rise ~ ns; T fall ~ 50 ns) sum of
signals produced by individual cells SiPM works as an analog photon
detector Signals from SiPM
Slide 7
SiPM R. Santoro 13th Topical Seminar on Innovative Particle and
Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena, Italy 7 SiPM is
a High density (~10 3 /mm 2 ) matrix of diodes with a common
output, working in Geiger-Mller regime Common bias is applied to
all cells (few % over breakdown voltage) Each cell has its own
quenching resistor (from 100kto several M) When a cell is fired an
avalanche starts with a multiplicative factor of about 10 5 -10 6
The output is a fast signal (T rise ~ ns; T fall ~ 50 ns) sum of
signals produced by individual cells SiPM works as an analog photon
detector The selected device is a large area (13.6 x 14.3 mm 2 )
monolithic array of SiPM units produced by Hamamatsu:
S11829-3344M
Slide 8
Lab charcterization to fullfill the simulation hints R. Santoro
13th Topical Seminar on Innovative Particle and Radiation Detectors
(IPRD13) 7-10 Oct. 2013, Siena, Italy 8 Minimum detectable light
Detector sensitivity (i.e. S/N or capability to discriminate an
event against noise ) Model developed by Arktis We expect 255
photons / matrix for 100 keV deposited energy assuming the 95% of
reflectivity
Slide 9
Lab charcterization to fullfill the simulation hints R. Santoro
13th Topical Seminar on Innovative Particle and Radiation Detectors
(IPRD13) 7-10 Oct. 2013, Siena, Italy 9 Firing the matrix with a
calibrated photon flux, we measured the minimum detectable light a
two different temperatures (different performances due to a
combined effect of increased noise and gain drift) 250 ph @ 25C 60
ph @ 21.6C We expect 255 photons / matrix for 100 keV deposited
energy assuming the 95% of reflectivity
Slide 10
Experimental set-up for proof of principle A short tube (19 cm)
used for the proof of principle Filled with 4 He at 140 bar, an
integrated wavelength shifter and two SiPMs mounted along the wall
(by ARKTIS) Two SIPMs read-out through the Hamamatsu electronic
board (C11206-0404FB) 2-channels 3-stage amplification with leading
edge discrimination (SP5600A CAEN) Digitizer with a sampling rate
of 250 Ms/s 12 bit digitization (V720 CAEN) 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy R. Santoro 10
Slide 11
Counting measurements Test performed measuring: Background, n
and counting rate using 252 Cf and 60 Co source in contact Two
triggering scheme: Trailing edge discrimination in coincidence
Trailing edge and delayed gate of each single SiPM in coincidence
Few parameters to be optimized: Leading and trailing threshold
Delay time (T) Gate aperture 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy R. Santoro 11 1 st Trigger Scheme 2 nd Trigger Scheme typical
event typical n event
Slide 12
Counting measurements 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy R. Santoro 12 An amazing result, corresponding to a rejection
power at the 10 6 level [ 10 counts in 1000s, for a number of given
by acceptance*activity*time = 1/3 * 3 * 10 4 * 10 3 ~ 10 7 ] Result
for the different trigger scheme @ 28C
Slide 13
Off-line data analysis Data recorded with a minimum bias
trigger Low threshold on the pulse height discrimination No
coincidence between the two SiPMs For each triggered events we
digitize signal of both SiPMs with sample rate of 125 MS/s and a
total duration of 4s. Three data set: 1. 400 events without
radioactive sources 2. 6000 events with 60 Co source in contact 3.
10000 events with 252 Cf source in contact Analysis strategies:
Identify an observable allowing to measure the ratio between noise
& particle induced triggers in samples 2 & 3 Filter noise
from particle induced events through a multivariate analysis
Identify the ratio between and n events in sample 3 Filter from n
through a multivariate analysis Measure the rejection power of
interacting and the selection efficiency of interacting neutrons
13th Topical Seminar on Innovative Particle and Radiation Detectors
(IPRD13) 7-10 Oct. 2013, Siena, Italy R. Santoro 13
Slide 14
Sample composition: (% of Background and signal) R. Santoro
13th Topical Seminar on Innovative Particle and Radiation Detectors
(IPRD13) 7-10 Oct. 2013, Siena, Italy 14 Each signal is baseline
subtracted in the integrated time windows FAST and SLOW component
is calculated as the integral of the signal to the left / right
side of the peak Definition of Fast and Slow Component BKG Co60
Cf252 The areas underneath the fits are used to measure sample
composition These numbers are used to estimate the selection
efficiency and bkg rejection power
Slide 15
A multivariate Bayesian analysis R. Santoro 13th Topical
Seminar on Innovative Particle and Radiation Detectors (IPRD13)
7-10 Oct. 2013, Siena, Italy 15 The strategy: Select 4
no-correlated variables where bkg, and n appear to be reasonably
different TOT_Diff, Charge Diff, Charge Skewness, Full_charge Bkg
data-set is used to build the experimental probability density
functions (p.d.f.) The corresponding cumulative distributions
function (c.d.f.) I i is then constructed: The four I i s are
combined to get the final distribution: Two step procedure: 1 st
step: the selection criteria based on P is used to remove the
background from n and induced events 2 nd step: the procedure is
reiterated to define the n/ selection criteria ( 60 Co sample used
to build the p.d.f.) : signal over noise distributions
Slide 16
1 st Step R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 16 c.d.f. obtained for one of the selected variables (total
charge), based on the bkg data-set bkg data-set As expected we have
a random quantity with a flat distribution
Slide 17
1 st Step R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 17 c.d.f. obtained for one of the selected variables (total
charge), based on the bkg data-set Moving towards a different p.d.f
( 60 Co or 252 Cf), we have an accumulation of events on the right
part of the histogram which allows as to separate the signal form
bkg
Slide 18
1 st step: bkg rejection R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 18 Selection for the 2 nd step These two plots
show that almost all the signal is on the right part of the
histograms (peak) while the bkg is a flat component on the left The
bin at P>0.995 contains ~78% of the events The bin at P>0.995
contains ~99% of the +n events for Cf Repeat the exercise for all
the quantities and combine the c.d.f. as follow
Slide 19
2 nd step R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 19 after the Bkg has been filtered out, the ratio between and
n events in 252 Cf can be measured: - events in the 60 Co data-set
n and composition in the 252 Cf data-set
Slide 20
2 nd step: rejection R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 20 The procedure is reiterated using the 60 Co
data-set to build the cumulative distributions to identify over n
in the 252 Cf data-set Results for a P cut of 0.995 Results are
well beyond the expectation which are pushing us to continue with
Further test to measure the neutron detection efficiency and to
qualify the /n separation using TOF technique Tube layout
optimization Improved electronics (see next slide)
Slide 21
Customized electronics R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 21 Adjustable bias voltage for each of 16
channels SiPM temperature readout and gain compensation The
thermo-chip placed onto the SiPM generates a digital pickup noise
which cannot be removed The frequency of the temperature readout is
settable The board include a lemo connector that can be used for
veto trigger Improved minimum detectable light and dynamic
range
Slide 22
Customized electronics R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 22 60 ph @ 19.6C 30 ph @ 19.6C Pedestal
Adjustable bias voltage for each of 16 channels SiPM temperature
readout and gain compensation The thermo-chip placed onto the SiPM
generates a digital pickup noise which cannot be removed The
frequency of the temperature readout is settable The board include
a lemo connector that can be used for veto trigger Improved minimum
detectable light and dynamic range
Slide 23
Conclusion R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 23 The Proof of Concept of SiPM arrays in the tube has been
successfully completed The tube design optimization is certainly
required A new front-end electronics (designed at Uni. Insubria)
has been characterized in the lab and fulfils the requirements New
test campaign is on the way to optimize the on-line and off-line
analysis
Slide 24
Spares 13th Topical Seminar on Innovative Particle and
Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena, Italy R.
Santoro 24
Slide 25
Typical events with PMTs R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 25 Neutron/ discrimination is based on the
difference between the fast/slow component of the scintillation
light Typical neutron and gamma events Typical plot from the 4 He
detectors showing the discrimination between neutrons (Am-Be) and
gamma ( 60 Co)
Slide 26
Bkg_rejection R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 26 Bkg flat distribution (1 st selection) Co60 flat
distribution (2 nd selection)
Slide 27
2 nd step R. Santoro 13th Topical Seminar on Innovative
Particle and Radiation Detectors (IPRD13) 7-10 Oct. 2013, Siena,
Italy 27 Distributions of the four discriminant variables used in
the second step of the procedure after having filtered the noise
induced events
Slide 28
2 nd step: rejection R. Santoro 13th Topical Seminar on
Innovative Particle and Radiation Detectors (IPRD13) 7-10 Oct.
2013, Siena, Italy 28 P_value=0.995 Neutron eff = 94% rejection
power= 92% P_value=0.995 Neutron eff = 94% rejection power= 92%
measured with a data-set with pure bkg
Slide 29
Few spectra used in the linearity plot R. Santoro 13th Topical
Seminar on Innovative Particle and Radiation Detectors (IPRD13)
7-10 Oct. 2013, Siena, Italy 29