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Experimental Experimental Method Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Spring Semester 2005 Experimental Method and Data Process Experimental Method and Data Process
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Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Dec 17, 2015

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Page 1: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Experimental Experimental

MethodMethodKihyeon Cho

Kyungpook National University

Spring Semester 2005Spring Semester 2005Experimental Method and Data ProcessExperimental Method and Data Process

Page 2: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

What will you do? What kind of data do you take?

Cosmic ray’s count, Energy, momentum, charge etc.Particle’s count, identification, and characteristic.With total charge, signal shape, or time information.

How do you take data?

Hardware : VME, CAMAC, NIM, GPIB, and FastBUSSoftware : Dos, Windows, NT, and Linux(Unix) with C, C++, BASIC, o

r FORTRAN languages.

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 3: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

Experiment setup.

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

What kind of data do you take?

With what hardware do you take data ?

With what software do you take data ?

Page 4: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

What kind of data do you take?

Count SCALOR

Charge total charge ADC charge shape SHAPER + ADC

Time TDC

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 5: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

With what hardware do you take data?

VME Versa Module Eurocard

CAMAC Computer Automated MeasurementAnd Control

NIM Nuclear Instrumentation Modules

GPIB General Purpose Interface Bus

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 6: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

With what software do you take data?

Operating System Driver dependent.

C,C++ Dos, Windows, and Linux(Unix)

Visual Basic,Visual C++ GUI, user friendly.

q-Basic, Fortran Linux, Windows

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 7: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

NIM modules

• Fan-in Fan-out to make several same analog signal• Amplifier to amplify analog input signal• Discriminator to change analog to digital pulse w.r.t threshold • Gate generator gate generating module• Scaler to count input signal• AND or OR unit to calculate logical signal

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 8: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

VME or CAMAC modules(computer based modules)

• ADC Analog to Digital converter• TDC Time to Digital converter• Gate generator gate generating module• Scaler to count input signal• GPIB to CAMAC interface to take data from CAMAC modules• VMEMM interface to take data from VME modules.• Amplifier to amplify analog input signal• Discriminator to change analog to digital pulse w.r.t threshold

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 9: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

Programming at CHEP

Dos(GPIB and CAMAC)

Visual BASIC(GPIB and CAMAC)

Linux(VME controller)

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 10: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

DAQ with VME,CAMAC and DAQ with VME,CAMAC and NIMNIM

Linux with VME controller

PCIADA and VMEMM card

Linux driver install

PCIADA and VMEMM Card check.

Hardware setup

Programming with C or C++ with ROOT library.

DAQ with VME,CAMAC and NIMDAQ with VME,CAMAC and NIM

Page 11: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

An Experimental Study ofCosmic Rays Spectrum

Using a Scintillator Detector

by D.Kim

Page 12: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Contents

• Introduction• Cosmic Rays• Simulation• DAQ system• Data• Conclusion & Discussion

Page 13: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Introduction

SimulationDetection

Flux w.r.t. distance between panels

Flux w.r.t. angle of inclination of panelof cosmic rays

Investigating the characteristics of the detector

Constructing the DAQ system

Page 14: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Cosmic Rays

• These “rays” were discovered by Victor Hess in 1912.

• The name “cosmic rays” were given by Millikan in 1925.

• Energy & rate– ~106eV, most cosmic ray particles– Above 1018eV, 1 / km2 / week– Above 1020eV, 1 / km2 / 100years– cf. 1012eV @FNAL

• These rays are FREE!

Page 15: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Primary Cosmic Rays

• Primary cosmic rays aredefined as all particles thatcome to Earth from outerspace.

Page 16: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Secondary Cosmic Rays• Collision of primary cosmic

rays with atoms in the upperatmosphere produce mostlyneutral and charged pions.

• Decay mode of pion, muon– 7.8045m

– 21.1m

– 658.654m

• At sea level, most of themare muons.

0

2

e e

)( c

Page 17: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Cosmic Ray Flux

• The flux of cosmic rays is

– The relativistic boost in the primary direction is much greater than at angle to the vertical.

– The longer they travel through the atmosphere, the more energy they lose to ionization, and the more likely they are to decay before reaching the detector

• Total rate of cosmic rays~

))min(/(cos),( 22 steradcmj

min))(/(2

cos),(2/

0

2

0

cmdj

Page 18: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Simulation)cos,sin,0( A

)cos,sinsin,cos(sin p djJ Ap),(

R: an uniform random number on [0,1]

lw

O

),( wRlR

)2,(cos),( 3/11 RR

n: number of event

hit: number of passing through both panels

Cosmic rays rate through both panels (angle, distance) ~ J x hit /n

Simulation Programx

y

z

Page 19: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Schematic Electronics

Gate Generator

ADC

VMEMasterModule

PCIADA

PC

OS: Linux

AND

Discriminator

Cosmic Ray

Detector 1

Detector 2

DAQ Program

Page 20: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Experimental ArrangementFan In Fan Out

DiscriminatorCoincidence

Gate Generator ADC

VMEMasterModule

PCIADA

Page 21: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Hardware

• Linear Fan-In/Fan-Out, LeCroy, 428F• Octal Discriminator, LeCroy, 628B

– threshold=-100mV,-120mV, width=120ns• Quad Coincidence, LeCroy, 622• Dual Gate Generator, LeCroy, 222

– full scale width=1 us• 32 Channel Multievent Charge ADC, CAEN, V792• VME Master Module, wiener• PCIADA, wiener• Scintillator, BC408, SAINT-GOBAIN• Photomultiplier Tube, R980, SAINT-GOBAIN

Page 22: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

How to Believe Cosmic Rays

H.V.=1050V

Th.=-25mV308s

Th.=-25mV249s

Th.=-25mV2417s

Th.=-25mV2430s

Th.=-100mV3462s

Th.=-120mV3956s

Detector 1 Detector 2

Page 23: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Flux w.r.t. Distance Flux(/min)

Distance(cm)

Real data

Histogram: MC

Scintillator size: 15 cm x 19.5 cm

The normal to panel is vertical.

Page 24: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Flux w.r.t. AngleFlux(/min)

Real data

Histogram: MC

Angle(degree)

Scintillator size: 15 cm x 19.5 cm

The distance between panels: 50cm

Page 25: Experimental Method Experimental Method Kihyeon Cho Kyungpook National University Spring Semester 2005 Experimental Method and Data Process.

Conclusion & Discussion

• Real data is similar to the result of simulation of cosmic rays spectrum of distance between panels and angle.

• Programming the data acquisition, which display the ADC channel-count plot using ROOT in real time, for Linux.

• Needing to improve the apparatus, to identify the kind of cosmic rays.

• Needing to measure the energy spectrum of cosmic rays.