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Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two Radioactive Source Co 60 and Sr 90

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Abstract

This study utilized standard two-source Co60 and Sr90 to determine the dead time and randomness of nuclear disintegration of a Geiger Muller (GM) tube. The experimental result obtained from this research was�22�ms�dead�time�of�a� M�counter�(τ).�In�order�to�understand�random�nuclear�disintegration,�the�value� of�the�standard�deviation�residual�(σresidual),�which�represents�the�experimental�mean�square�deviation,�was� determined� for� the� radiation� activity� of� the� "o60 source� to� be� 15,�which� was� then� compared�with�the� theoretically�expected�standard�deviation�(σexpected)�of�15.71.�These�values�indicate�a�correlation�between� the� two� values� with� a� relative� standard� deviation� (RS*)� error� of� 5%.� The� value� of� the� standard� error� residual� (δresidual)�was� also� estimated�to� be�3.35,� and� compared�with�the� expected� standard�error� value� (δexpected)�of�3.51.�The�values�were�consistent�with�a�relative�standard�deviation�error�of�5%,�and�the�errors� can be attributed to the random nature of nuclear decay.
NeuroQuantology | February 2020 | Volume 18 | Issue 2 | Page 101-105 | doi: 10.14704/nq.2020.18.2.NQ20133
Abbas Abdulhussein Mohammed, Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two
Radioactive Source Co60 and Sr90
101
Determination of the Dead Time and Randomness
of Nuclear Disintegration for a Geiger-Muller Tube
Using two Radioactive Source Co60 and Sr90
Abbas Abdulhussein Mohammed1*, Zaid Saud Razzaq2, Hayder Salah Naeem3
Abstract
This study utilized standard two-source Co
60
and Sr
90
to determine the dead time and randomness of
nuclear disintegration of a Geiger Muller (GM) tube. The experimental result obtained from this research


residual


60


expected



residual


expected

can be attributed to the random nature of nuclear decay
.
Key Words:

DOI Number: 10.14704/nq.2020.18.2.NQ20133 NeuroQuantology 2020; 18(2):101-105
Introductions
The Geiger Muller (GM) counter is commonly used
       
reliability and cost-  
experiments can be set up using a GM counter
determination of a GM's plateau
      
-
classified as a filled gas detector [6].

produces an ion pair consisting of a po
and an electron [7]. The electrons are attracted to


ions. This also increases the radius of the anode
     rts the
       


of the potential will be dictated by the applied

Corresponding author: Abbas Abdulhussein Mohammed
Address: 1*-; 2
-Muthann3
-
1*-
2-
3-
Relevant conflicts of interest/financial disclosures: The authors declare that the research was conducted in the absence of
any commercial or financial relationships that could be construed as a potential conflict of interest.
Received: 11 January 2020 Accepted: 
eISSN 1303-5150 www.neuroquantology.com
NeuroQuantology | February 2020 | Volume 18 | Issue 2 | Page 101-105 | doi: 10.14704/nq.2020.18.2.NQ20133
Abbas Abdulhussein Mohammed, Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two
Radioactive Source Co60 and Sr90
102


 
means that the loss of count depends on the rate of
particle emission from the source and its
      
schematic of the GM tube and its associated
electronics.
Fig. 1. Schematic diagram of the GM tube and the associated
electronics
     
exhibited by Geiger counters; the first is the
        



age reaches the


which the counting system first records pulses is
      
ation increases
and the number of pulses increase rapidly to a flat

which is the Geiger tube region where the count
rate is nearly independent of the potential

     


      
        
recog      
collection as it is closely related to the dead time
phenomenon [11].
Fig. 2. Plateau of Geiger Muller tube
The Dead Time of a GM
Let
be the number of particles entering the GM
tube per second and the counter is showing counts
 as
the number of particles entering GM tube per
second counted particles
is
:
=
(1)
 there are two different sources S1 and S2.
Suppose the sources are placed together in such a
way that total number particles entering the tube
2 and if the time count rate shown
by the 3[1013]:
(
1+
2)
3=
1+
23 (2)
When the source S2  keeping S1 the
 1 and 
1=
1 (3)
2=
2(4)

1 and
2 s. (3) & (4) and
reflecting the higher order terms:
= 1+23
212
(5)
Where: 1 = Count rate with source S1.
2 = Count rate with source S2 .
3 = Count rate with source S1+S2 .
Randomness of Nuclear Disintegration
To study the random of radio

with any counting system is the 
 actual count rate due
to the random nature of radio
we consider
that the 
remains constant for a considerable amount of time
and if the series of counts N1 2 

will differ from mean count N
calculated
from the absolute result .
eISSN 1303-5150 www.neuroquantology.com
NeuroQuantology | February 2020 | Volume 18 | Issue 2 | Page 101-105 | doi: 10.14704/nq.2020.18.2.NQ20133
Abbas Abdulhussein Mohammed, Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two
Radioactive Source Co60 and Sr90
103
the randomness of nuclear disintegration:
=
The standard  residual residual is the most
likely an  and is
defined as:
2=(
)2
1
=1 (6)
 expected is defined
as :
 =
(7)
The standard error is defined as :
 =2

 =
(9)
Where: 
N
= mean of count.
Ni 
MATERIALS AND METHODS
An experimental setup was prepared
Scheme 1. The dead time of a GM tube (Model
ST360 Counter) was determined using a double-
source slot plate method and applied 
 s were taken from the
Co60sourceS1(half-life of 
- and energy decay of0.31MeV)at count per 30
secs. After 1were taken
from theSr90 source S2(half-life of 
- and energy decay 0.6MeV)at count per
30 secs    were taken for
the(S1&S2) ) at count per 30 secs.
Scheme 1. 
Results and Calculations
The counting measurements of the Co60 and Sr90
sources were taken for 30 secs after a decay period
using a GM with the 
to 450 Vare
shown in Table 1 as a function of decay times. The
      
detector was ~624 count per 30 secs for both
sources due to the dead time effect.
Table 1. time

Obs. No.
60 count/30 sec
90 count/30 sec
 Co60+Sr90
count/30 sec
1
242
244
572
2
240
256
624
3
221
223
565
4
230
240
594
5

246

6
239
252
595
7
239
232
552
254
264
619
9
249
251
557
10
251
265
605
11
259
253

12
271
265
555
13
237
265
572
14
227
253
597
15
252


16

247
600
17
255
249




590
19
256
245
602
20

265
602
Mean count for Co60
=4937
=4937
20 =246.
Mean count for Sr90
=4971
=4971
20 =.55
Mean count for Co60+Sr90
=11731
=11731
20 = 5.55
eISSN 1303-5150 www.neuroquantology.com
NeuroQuantology | February 2020 | Volume 18 | Issue 2 | Page 101-105 | doi: 10.14704/nq.2020.18.2.NQ20133
Abbas Abdulhussein Mohammed, Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two
Radioactive Source Co60 and Sr90
104
the dead time of the GM 
result from Table(1):
i) 60
1=
30 =246.
30 =.23  
ii) 90
2=
30 =.55
30 =.  
iii) 60 + Sr90
3=
30 =.55
30 =19.55  
 we can determinethe dead time for
GM tube:
=(1+2)3
212
=(.23 +.)19.55
2.23 .
=3.035
136.37 = 0.022  =22
Table 2. 
Obs.
No.
(
)2
1
-
23.53
2
-
46.92
3
-


4
-


5
-

355.32
6
-
61.62
7
-
61.62
7.15
51.12
9
2.15
4.62
10
4.15
17.22
11
12.15
147.62
12
24.15

13
-
97.02
14
-

394.02
15
5.15
26.52
16
1.15
1.32
17

66.42

11.15
124.32
19
9.15

20
34.15
1166.22
s.6 7 calculate the
the randomness of
   its corresponding
standard error:
2=(
)2
1 
=1
= {(
)2
1
=1
}12
=[4264.51
20 1]12
=15
 =
=246.=15.71
 =2
=15
20 = 3.35
 =
=246.
20 = 3.51
DISCUSSION AND CONCLUSIONS
According to the resultst
decay is random and unpredictable within a

     source is
independent of each other. When taking a large
number of  

       
counting rate N    
measurements by counting the statistics for nuclear
radiation.
Practically tof the count
mean count in the unit of
timecan be predicted usingthe statistical count of
nuclear radiation.
of the practical
  were
N. At
 Nwith
 more
significant .
The measured data were fitted using the mean

 described the dead time of a GM
being studied. The actual dead time of a GM counter
is dependent on the counting rate.
The residual can be calculated by using 6
 sourceCo60 and was
determined to be15
to the theoretically expected calculated using  7
and determined to be 15.71.   
cor  (

    standard error residual
()was calculated using 
eISSN 1303-5150 www.neuroquantology.com
NeuroQuantology | February 2020 | Volume 18 | Issue 2 | Page 101-105 | doi: 10.14704/nq.2020.18.2.NQ20133
Abbas Abdulhussein Mohammed, Determination of the Dead Time and Randomness of Nuclear Disintegration for a Geiger-Muller Tube Using two
Radioactive Source Co60 and Sr90
105
Co60 and was found to be 3.35
compared with the expected standard error
() calculated using 9 and found to
were consistent with a 
 ( 
These errors result from the random nature of the

related to the same source and indeterminate
errors resulting from the effects that occur during
   -absorption and

tables.
Acknowledgments
The authors gratefully acknowledge the
 
Al- .
       

his encouragement.
Authors' Contributions
All authors contributed 
Conflict of Interest
The authors declare no conflict of interest.
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eISSN 1303-5150 www.neuroquantology.com
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Article
Full-text available
Since the early forties, researchers from around the world have been studying the phenomenon of deadtime in radiation detectors. Many have attempted to develop models to represent this phenomenon. Two highly idealized models; paralyzable and non-paralyzable are commonly used by most individuals involved in radiation measurements. Most put little thought about the operating conditions and applicability of these ideal models for their experimental conditions. So far, there is no general agreement on the applicability of any given model for a specific detector under specific operating conditions, let alone a universal model for all detectors and all operating conditions. Further the related problem of pile-up is often confused with the deadtime phenomenon. Much work, is needed to devise a generalized and practical solution to these related problems. Many methods have been developed to measure and compensate for the detector deadtime count loss, and many researchers have addressed deadtime and pulse pile-up. The goal of this article is to summarize the state of science of deadtime; measurement and compensation techniques as proposed by some of the most significant work on these topics and to review the deadtime correction models applicable to present day radiation detection systems.
Article
Full-text available
A large dead time of a Geiger Mueller (GM) detector may cause a large count loss in radiation measurements and consequently may cause distortion of the Poisson statistic of radiation events into a new distribution. The new distribution will have different statistical parameters compared to the original distribution. Therefore, the variance, skewness, and excess kurtosis in association with the observed count rate of the time interval distribution for well-known nonparalyzable, paralyzable, and nonparalyzable-paralyzable hybrid dead time models of a Geiger Mueller detector were studied using Monte Carlo simulation (GMSIM). These parameters were then compared with the statistical parameters of a perfect detector to observe the change in the distribution. The results show that the behaviors of the statistical parameters for the three dead time models were different. The values of the skewness and the excess kurtosis of the nonparalyzable model are equal or very close to those of the perfect detector, which are ≅2 for skewness, and ≅6 for excess kurtosis, while the statistical parameters in the paralyzable and hybrid model obtain minimum values that occur around the maximum observed count rates. The different trends of the three models resulting from the GMSIM simulation can be used to distinguish the dead time behavior of a GM counter; i.e. whether the GM counter can be described best by using the nonparalyzable, paralyzable, or hybrid model. In a future study, these statistical parameters need to be analyzed further to determine the possibility of using them to determine a dead time for each model, particularly for paralyzable and hybrid models.
Article
Detailed pulse shape analysis of a Geiger-Müller counter is performed to understand the pulse shape dependence on operating voltage. New data is presented to demonstrate that not all pulses generated in a GM counter are identical. In fact, there is a strong correlation between the operating voltage and the pulse shape. Similar to detector deadtime, pulse shapes fall in three distinct regions. For low voltage region, where deadtime was reported to reduce with increasing voltage, pulse generated in this region was observed to have a fixed pulse width with a variable tail. The pulse width and fall time of the tail was observed to be a function of applied voltage; exponentially reducing with increasing voltage with an exponent of negative 6E-04 and 2E-03 respectively. The second region showed a pulse without any significant tail. During this time the detector deadtime was earlier reported to be at its minimum. The highest voltage region demonstrated a different deadtime mechanism where the second pulse was reduced in width. During this time the deadtime seemed to be increasing with increasing voltage. This data allows us to gain some unique insight into the phenomenon of GM detector deadtime not reported thus far.
Article
To extend the usable range of the G-M counters the hybrid G-M counter dead time model adopting paralyzable and non-paralyzable dead times (Tp and TNp) at the same time has been introduced and the relationship between true and observed counting rates (n and m) is more accurately expressed in the hybrid model. Other than the decaying source method, which requires a research reactor, the usual way of determining G-M counter dead time is the split source method. To find two dead times of the hybrid model a modified split source method was suggested. The major modification to the original method includes adoption of two split sources and iterative scheme due to transcendental nature of the hybrid model. The modified split source method was tested using Monte Carlo G-M counter simulator, GMSIM, based on ideal hybrid dead time model. Possibility of using interval distribution between observed events and non- Poisson variance characteristics of G-M counters in finding the dead times was also presented.
Book
The book is a complete, clear and up-to-date text that provides a basic review of instruments and methods of ionizing radiation. The text covers detailed discussion of all detector types; introductory discussions of radiation sources, interactions, and counting statistics; functional analysis of the electronics and pulse processing aspects of radiation detectors in instrumentation systems; and consideration of shielding and background potentially vital in low-level counting. A total of 350 figures and approximately 900 references to current scientific literature is included. The book is largely intended as a textbook for a junior/senior or first-year graduate course in nuclear instrumentation and radiation measurements.
Article
Simple methods were applied to investigate the characteristics of a Geiger-Müller counter with Q-gas flowing at 1 atm. The propagation velocity of the photon-aided avalanche along the anode wire depends linearly on the strength of the electric field in the counter. Its fluctuation (FWHM) as a function of distance between the source position and the end point is discussed.
Article
The 'dead time' correction for a Geiger-Muller tube can be determined statistically by using a microcomputer to collect and analyse large volumes of timing and counting data.