1. GAMOS tutorial PET Exercises
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
GAMOS tutorial PET Exercises
Pedro Arce Dubois
CIEMAT
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

2. PET simulation Exercises
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET simulation Exercises
Ex. 0: Installation
Ex. 1: Basic example
Ex. 2: Define PET geometry
Obtain information about what is happening in a PET
Ex. 3: Detector effects
Ex. 4: Store results in file
The exercises are sequential
Use the commands of the previous exercise (only change what indicated
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

3. Exercise 0: installation
Anaphe -- OO Data Analysis using C++ and Python
Exercise 0: installation
15 June 2018
Download installation scripts from S.1.9.0/scripts.tgz
Uncompress it
tar xvzf scripts.tgz
Install it (under csh)
cd scripts
csh
source installGamos.csh $HOME/gamos
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

4. Exercise 1: simple geometry
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
Exercise 1: simple geometry
Geometry:
Tube radius 100cm length 200cm of Water, axis along X
inside Box 30cm X 30cm X 40cm of Aluminun
Standard electromagnetic physics
Primary particle: gamma 10 MeV at (0,0,0) in random direction
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

5. Exercise 1b: visualisation
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
Exercise 1b: visualisation
Visualize geometry and tracks
Use OGLIX
Use VRML2FILE
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

6. Exercise 1c: use different e.m. physics
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
Exercise 1c: use different e.m. physics
Use low energy electromagnetic
Use Penelope
(Make statistics on processes/particles)
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

7. PET Exercise 2a: PET geometry
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 2a: PET geometry
2 cm X 2 cm X 10 cm LSO crystals
LSO: Lu %, Si %, O %
Block of 8X8 crystals
20 blocks in a ring of radius 60 cm
Pace 5 rings blocks along Z separated 10 cm
Water sphere of radius 2 cm at the centre of the rings
Source of 511 keV photons at (0,0,0) towards the X axis
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

8. PET Exercise 2b: use F18 as source
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 2b: use F18 as source
Place F18 homogeneously distributed in the water sphere
Activity: 1 milliCurie
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

9. PET Exercise 2c: obtain information
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 2c: obtain information
Make info about the phsycis processes that occur
Make the crystal sensitive detector and produce signals (hits)
Obtain histograms about hits quantities (energy, position, …)
Get detailed info about Compton and Photoelectric effect in crystals
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

10. PET Exercise 2c: low energy physics
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 2c: low energy physics
Use GEANT4 low energy electromagnetic package, instead of standard electromagnetic package
Observe differences in energy distribution
Observe differences in processes occurring
Observe differences in CPU time
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

11. PET Exercise 2d: Classify events as PET events
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 2d: Classify events as PET events
A PET event is the one that has two signals of energy about 511 keV in the crystals
Classification is done looking at the reconstructed hits
Define a RecHitBuilder that sums all the energy of the crystals in a block of 8X8, and assign the position as the centre of the crystal with biggest energy
Count % of PET events
How many are false coincidences
In how many the line joining the two crystals passes too far from the F18 positron
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

12. PET Exercise 3a: Energy resolution
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 3a: Energy resolution
Set crystal energy resolution as 20%
Observe differences in hits energy
Observe differences in number of PET events
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

13. PET Exercise 3b: Dead time
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 3b: Dead time
Set the dead time of crystals as 1 microseconds
When a crystal takes signal, full block of 8X8 crystal becomes dead for a time
Observe differences in number of PET events
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,

14. PET Exercise 3b: Measuring time
Anaphe -- OO Data Analysis using C++ and Python
15 June 2018
PET Exercise 3b: Measuring time
Set the measuring time of crystals as 1 microseconds
Two signals in a crystal cannot be distinguised if they differe less than a given amount
Observe differences in number of PET events
Observe differences in recontructed hits
Pedro Arce
Introducción a GEANT4
Andreas Pfeiffer, CERN/IT-API,