Geant4-based Monte Carlo simulations of a transport beam line for - - PowerPoint PPT Presentation
MCMA 2017 Napoli, Italy 17 th October 2017 Geant4-based Monte Carlo simulations of a transport beam line for multidisciplinary applications of laser-driven proton beams Giuliana Milluzzo On behalf of the ELIMED collaboration INFN -
Giuliana Milluzzo
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On behalf of the ELIMED collaboration
INFN - Laboratori Nazionali del Sud, Catania, Italy Università degli Studi di Catania
Napoli, Italy 17th October 2017
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In a few microns mul0-Mev protons and ions are accelerated
(> 1018 W/cm2) blows
target surface
penetrate the foil and ionize atoms along their path à a strong electric field is created (≈ TV/m)
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107 -109 Gy/min (vs 10-50 Gy/min) New paradigms for beam dosimetry
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Collection and diagnostics Selection, transport and diagnostics Dosimetry and sample irradiation
Graphics by L. Allegra
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NIM A, Vol. 829 (2016) JINST, Vol. 11 (2016) JINST, Vol. 10 (2015)
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5
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Source PMQs Energy selector system Conventional transport elements Dosimetry devices
100 20 40 60 80 70 60 50 40 30 20 10
Application structure
Component realistic model Magnetic and electric field implementation Realistic laser-driven particle source Information scoring along the beamline
Requirements from ELI
Easily modify geometrical configurations Accurate transport in magnetic fields User friendly
PIC simulation
OUTPUT
ΔE/E 11% 8% 7%
9.9% 8.0% 4.9%
60 MeV
ΔE/E 11% 8% 7%
9.9% 8.0% 4.9%
60 MeV
2 m air + 100 um Ta 2 m air + 300 um Ta
+ 10 mm collimator + 20 mm collimator
10 % 10 mm 10 % 20 mm
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PMQs configuration fixed for the maximum energy transport
10 20 30 40 50 60 70 10
1
10
2
10
3
10
4
Energy [MeV] Counts
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PMQs configuration fixed for the maximum energy transport
10 20 30 40 50 60 70 10
1
10
2
10
3
10
4
Energy [MeV] Counts
range in water between 1 and 2 cm
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PMQs configuration fixed for the maximum energy transport
10 20 30 40 50 60 70 10
1
10
2
10
3
10
4
Energy [MeV] Counts
range in water between 1 and 2 cm
Protons in the energy selector
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PMQs configuration fixed for the maximum energy transport
10 20 30 40 50 60 70 10
1
10
2
10
3
10
4
Energy [MeV] Counts
range in water between 1 and 2 cm
Protons in the energy selector
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PMQs configuration fixed for the maximum energy transport
10 20 30 40 50 60 70 10
1
10
2
10
3
10
4
Energy [MeV] Counts
range in water between 1 and 2 cm
Protons in the energy selector
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3% of dose homogeneity in 2 cm of modula5on region!
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Normalization to typical doses per session delivered in ocular melanoma proton treatments (15 Gy) Re-calculation of the absolute weights (in Gy) of any single peak Computation of number of shots per single peak to achieve the required dose
3% of dose homogeneity in 2 cm of modula5on region!
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Normalization to typical doses per session delivered in ocular melanoma proton treatments (15 Gy) Re-calculation of the absolute weights (in Gy) of any single peak Computation of number of shots per single peak to achieve the required dose
̴ 1000 shots in total
Considering both laser repetition rate and and ESS field frequency oh 1 Hz ̴ 16 minutes Considering laser repetition rate of 10 Hz and and ESS field frequency oh 1 Hz ̴ 2 minutes
3% of dose homogeneity in 2 cm of modula5on region!
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Conclusions
modularity
tested and validated physics models
possibility
Future developments
experiments to be performed at ELI-Beamline
high dose rate per pulse
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Magnetic field gradient within the 160 mm quad Magnetic field intensity along the radial axis of the dipole
Comparison with COMSOL and SIMION software
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Magnetic field gradient within the 160 mm quad Magnetic field intensity along the radial axis of the dipole
Comparison with COMSOL and SIMION software
60 MeV p track within ESS system in the x-z plane 60 MeV p track within PMQ system in the x-z plane
Monoenerge'c
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Monoenerge'c
Analytic
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Monoenerge'c
Analytic
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Detailed laser-driven proton and ion beam source to use as input
PIC 3D PIC 2D
Monoenerge'c
Analytic
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Detailed laser-driven proton and ion beam source to use as input
PIC 3D PIC 2D
Monoenerge'c
Analytic
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Detailed laser-driven proton and ion beam source to use as input
PIC 3D PIC 2D
Weighting low energy conventionally accelerated proton beams for modulators
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Weighting low energy conventionally accelerated proton beams for modulators
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Tumor thickness
Spread Out Bragg Peak
Weighting low energy conventionally accelerated proton beams for modulators
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Tumor thickness
Spread Out Bragg Peak
Weighting low energy conventionally accelerated proton beams for modulators
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Tumor thickness
Spread Out Bragg Peak
Weighting low energy conventionally accelerated proton beams for modulators
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Tumor thickness
Spread Out Bragg Peak
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PMQs ESS
x [mm] z [mm] z [mm] y [mm] y [mm] x [mm] 35 MeV 45 MeV 60 MeV 30 MeV proton 60 MeV proton
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ELIMED (LNS-INFN) @ ELI-Beamlines
WP2 (LNS-INFN) Monte Carlo Simulations
Resp.: F. Romano
WP1 (LNS-INFN) Ion Beam Transport WP3 (LNS-INFN) Ion Beam Diagnostics and Dosimetry
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Bucke&ul of par.cles! Controlled beams Conven.onal Laser-driven
22 Fluence map of secondary prompt photons escaping from the beam line (top view) for 60 MeV p-configuration
p/cm2
Total number of prompt neutrons and photons escaped from the different elements for 60 MeV p-configuration
23 Fluence map of secondary prompt photons escaping from the beam line (top view) for 60 MeV p-configuration Distribution of activated nuclei projected into the horizontal plane (60-MeV proton configuration)
24 The total beta activity (including electron capture) of the beam-line elements as a function of time (60-MeV proton configuration). Distribution of activated nuclei projected into the horizontal plane (60-MeV proton configuration)
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Qt interface for visualization and interactive simulation
Macro commands
Remote simulation using network performances Batch mode
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Source PMQs Energy selector system Conventional transport elements Dosimetry devices
100 20 40 60 80 70 60 50 40 30 20 10
“Toolkit for the simulation of the passage of particles through matter.”
Application structure
Component realistic model Magnetic and electric field implementation Realistic laser-driven particle source Information scoring along the beamline
Requirements from ELI
Easily modify geometrical configurations Accurate transport in magnetic fields User friendly
http://www.geant4.org
PIC simulation
OUTPUT
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INPUT PMQs Energy selector system Conventional transport elements Dosimetry devices
“Toolkit for the simulation of the passage of particles through matter.”
Application structure Component realistic model Magnetic and electric field implementation Realistic laser-driven particle source Information scoring along the beamline
Requirements from ELI Easily modify geometrical configurations Accurate transport in magnetic fields User friendly
http://www.geant4.org
OUTPUT
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60 MeV
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ΔE/E 11% 8% 7%
9.9% 8.0% 4.9%
60 MeV
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5 MeV 60 MeV
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ΔE/E 5.0% 4.3% 6.6%
5.9% 4.5% 2.1% ΔE/E 11% 8% 7%
9.9% 8.0% 4.9%
5 MeV 60 MeV
5 MeV 60 MeV