Simulation of ionizing radiation tracks and its applications › ... › 20140004807.pdf · Page...

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Page No. 1 Simulation of ionizing radiation tracks and its applications Ianik Plante Universities Space Research Association Division of Space Life Sciences NASA Johnson Space Center, Houston TX NASA Space Radiation Summer School 2014 Brookhaven National Laboratory May 30 – June 20, 2014 https://ntrs.nasa.gov/search.jsp?R=20140004807 2020-06-15T04:46:07+00:00Z

Transcript of Simulation of ionizing radiation tracks and its applications › ... › 20140004807.pdf · Page...

Page 1: Simulation of ionizing radiation tracks and its applications › ... › 20140004807.pdf · Page No. 3 Single HZE ions in cells And DNA breaks Radiation tracks and energy deposition

Page No. 1

Simulation of ionizing radiation tracks and its applications

Ianik PlanteUniversities Space Research Association

Division of Space Life SciencesNASA Johnson Space Center, Houston TX

NASA Space Radiation Summer School 2014Brookhaven National LaboratoryMay 30 – June 20, 2014

https://ntrs.nasa.gov/search.jsp?R=20140004807 2020-06-15T04:46:07+00:00Z

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Cucinotta and Durante, Lancet Oncology (2006)

The space radiation problem

Space radiation is comprised of high-energy protons and heavy ions (HZE’s) and secondary protons, neutrons, and heavy ions produced in shielding

Unique damage to bio-molecules, cells, and tissues occurs from HZE ions that is qualitatively distinct from X-rays and gamma-rays on Earth

No human data to estimate risk from heavy ions, thus requiring use of biological models and theoretical understanding to assess and mitigate risks

Shielding has excessive costs and will not eliminate galactic cosmic rays (GCR)

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Radiation tracks and energy deposition The energy deposition by heavy ions is highly heterogeneous and

dependent on the type and energy of the ion The interactions of radiation with matter are stochastic in nature and

therefore often studied by Monte-Carlo simulations

~100 Å

A. Mozumder and J.L. Magee (1966) Radiat. Res. 28, 203

~100 to 500 eV blobs

>5 keV

s~500 eV to 5 keV

s

C. Ferradini (1979) J. Chim. Phys. 76, 636

PenumbraTrack core

Delta rays

Primary energy loss events inhigh-LET tracks

Primary energy loss events in low-LET tracks

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Physical

Time (s) Stage Events Modeling

Physico-

chemical

Chemical

Biological

Energy absorptionParticle transport

Cross sections

Green’s functions

10-15

10-12

10-9

10-3

10-6

Reorganization

Electron thermalization

Radical diffusion

Chemical reactions

DNA repair Kinetics models

Molecular dynamics

Radiation effects: time sequence of events

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H2O

eaq

(~240-600 fs)

OH + H3O+

H2O +

H2O*

+ H2O

H2O

H + OHH2O

H2 + OH

Physical

stage

(<1015 s)

Physico-

Chemical

stage

(~1015 –

1012 s)

H + OH

2 H + O(3P)

H2 + O(1D)

H2O*

H2O+ + e

Radiation effects: time sequence of events

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Particle transport basics

The trajectory of a particle and all its interactions is followed in the medium

A particle is followed until • It leaves the volume of interest• Its energy decrease below a threshold• It disappears by a physical process (e.g. absorption of a photon

during a photo-electric effect

Many other particles are generated by the interactions of the “primary” particle. The trajectories of these secondary particles should also be followed.

Plante, I. and Cucinotta, F.A. (2011) Monte-Carlo Simulation of Ionizing Radiation Tracks. In: Mode, C.J. (Ed.) Applications ofMonte Carlo Methods in Biology, Medicine and Other Fields of Science. InTech, Rijeka, Croatia. www.intechopen.com

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Particle transport basics

Particles• Position (x,y,z)• Energy (E)• Direction (,)

Cross sections• Probability of interaction between radiation and matter

• Cross sections (units: cm2)• Mean free path (units: cm)

Plante, I. and Cucinotta, F.A. (2011) Monte-Carlo Simulation of Ionizing Radiation Tracks. In: Mode, C.J. (Ed.) Applications ofMonte Carlo Methods in Biology, Medicine and Other Fields of Science. InTech, Rijeka, Croatia. www.intechopen.com

dx-IndI I: Incident fluence

n: Density of targets

dx: Width

: Cross section

))E(/xexp()0(I)x(I

))E(N/(1)E(

)cos(

)sin()sin()cos()sin(

v

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Particle transport basics Cross sections (total and differential in energy, angle,… i.e. d/dW,

d/d, d2/dWd,…) are needed for particle transport The total cross section is the sum of the cross sections for each

interactions A distance to the next interaction (s) is sampled from the exponential

distribution:

The particle is moved to the next interaction site:

The phenomenon (e.g. ionization) is determined by the ratio of the cross section a phenomenon over the total cross section

The energy loss and change of direction are determined by sampling the differential cross sections

))E(N/(1)E( )Ulog(s

)cos()sin(sx'x

)sin()sin(sy'y )cos(sz'z

Plante, I. and Cucinotta, F.A. (2011) Monte-Carlo Simulation of Ionizing Radiation Tracks. In: Mode, C.J. (Ed.) Applications ofMonte Carlo Methods in Biology, Medicine and Other Fields of Science. InTech, Rijeka, Croatia. www.intechopen.com

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Cross sections

For electrons:• Ionization• Excitation• Elastic collisions• Dissociative electron

attachment• Bremsstrahlung

For ions:• Ionization• Excitation

For photons:• Compton effect• Coherent diffusion• Photoelectric effect• Pair production

Plante, I. and Cucinotta, F.A. (2011) Monte-Carlo Simulation of Ionizing Radiation Tracks. In: Mode, C.J. (Ed.) Applications ofMonte Carlo Methods in Biology, Medicine and Other Fields of Science. InTech, Rijeka, Croatia. www.intechopen.com

RITRACKS includes accurate cross section models for all ions and secondary electrons or photons

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Cross sections

Plante, I. and Cucinotta, F. A. (2009). New J. Phys. 11, 063047

Cross sections used in RITRACKS

Ions Electrons

dW)v(d

ZdW

)v(d proton2eff

ion

)Z/125exp(1Z/Z 3/22eff

The cross sections for ions are scaled with Zeff:

v: velocity of the ion

: relativistic v/c

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Used to simulate stochastic systems

Example: Calculation of

By increasing the numberof random points, 4NC/Nconverges to the value of

Monte-Carlo simulations

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• Random numbers• Probability distributions• Normalization

From http://en.wikipedia.org/wiki/List_of_probability_distributions

Poisson distributionP(x=k)=xe‐/x!

Uniform distribution

Exponential distributionp(x)=e‐x

1pN

1ii

1'dx)'x(f

Discrete

Continuous

Monte-Carlo simulations

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Generating probability distributions

Example: Exponential distribution

f(x)=e‐x, >0, x0

F(x)=1‐e‐x=U

X=‐Log(1‐U)/ or X=‐Log(U)/

U is a random number between 0 and 1 

F(x) is the cumulative probability distribution

x

'dx)'x(f)x(F

k

1iik pP

Plante, I. and Cucinotta, F.A. (2011) Monte-Carlo Simulation of Ionizing Radiation Tracks. In: Mode, C.J. (Ed.) Applications ofMonte Carlo Methods in Biology, Medicine and Other Fields of Science. InTech, Rijeka, Croatia. www.intechopen.com

Monte-Carlo simulations

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Generating the exponential distribution

Monte-Carlo simulations

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The software RITRACKS

The software RITRACKS comprises several parts• The calculation part includes:

The cross sections, which are necessary for particle transport The particle transport routines Post-simulation data management

• The Graphic User Interface (GUI), comprises several windows: The main window Incident radiation window Cross sections windows (electrons and ions) Results (events) details

• The 3D visualization window

• The help file

All necessary files are included in an installer for Windows

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The software RITRACKS

Multiple CPU computing

Plante, I. and Cucinotta, F. A. (2013). Lecture Notes in Computer Sciences 7845, 12-25

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The software RITRACKS

Multiple CPU computing (Windows)

Plante, I. and Cucinotta, F. A. (2013). Lecture Notes in Computer Sciences 7845, 12-25

RITRACKS V1 RITRACKS V2

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Heavy ion track structure simulationSimulation fo 1H+, 12C6+, 28Si14+ and 56Fe26+ tracks, 100 MeV/amu

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Radial dosimetry

(a) 1H+ 1 MeV/amu, LET~33 keV/m

(b) 20Ne10+ 377 MeV/amu, LET~31 keV/m

(c) 4He2+ 1 MeV/amu, 56Fe26+ 1 GeV/amu, LET~150 keV/m

Plante, I. and Cucinotta, F.A. (2008), New J. Phys. 10, 125020

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Voxel dosimetry

1 GeV/amu 56Fe26+ ion

LET150 keV/m

Voxels: 40 nm x 40 nm x 40 nm

Plante I. et al. (2011). Radiat. Prot. Dosim. 143, 156-161.

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Target dosimetry

Plante, I. and Cucinotta, F.A. (2009), Radiat. Env. Biophys. 49, 5-13

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Target dosimetry

Plante, I. and Cucinotta, F.A. (2009), Radiat. Env. Biophys. 49, 5-13

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DNA damage / H2AX foci studiesNuclei only

Tracks only Tracks and nuclei

• Irradiation by 1 GeV/amu Fe ions

• 100 cGy• LET ~ 149 keV/µm

Experiments performed at the NASA Space Radiation Laboratory (2007)

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Single HZE ions in cells

And DNA breaksMukherjee, B. et al. (2008), DNA repair 7 1717-1730; Plante, I. et al. (2013), Phys. Med. Biol. 58, 6393-6405

2700 x 1H+, 300 MeV (1 Gy)

Dose in voxels (20 nm)

Chromosomes (RW model)

Intersection voxels

H2AX foci experimentsApplication of DSB probability

DNA damage

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Single HZE ions in cells

And DNA breaksAsaithamby, A. et al. (2008) Radiat. Res. 169, 437-446; Plante, I. et al. (2013), Phys. Med. Biol. 58, 6393-6405

6 x 56Fe26+, 1 GeV/u (1 Gy)

Dose in voxels (20 nm)

Chromosomes (RW model)

Intersection voxels

H2AX foci experimentsApplication of DSB probability

DNA damage

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DNA damage / H2AX foci studies

• Calculation of DSBs by low- and high-LET radiation

Plante, I. et al. (2013), Phys. Med. Biol. 58, 6393-6405

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DNA damage / H2AX foci studies

• Calculation of DSBs by 1H+, 12C6+ and 56Fe26+

ions

Plante, I. et al. (2013), Phys. Med. Biol. 58, 6393-6405

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DNA damage / H2AX foci studies

• Calculation of DSBs vs LET by 1H+, 12C6+ and 56Fe26+ ions

Plante, I. et al. (2013), Phys. Med. Biol. 58, 6393-6405

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DNA damage / H2AX foci studies

• DSBs per cell vs dose is linear• Exchanges per cell vs dose is linear-quadratic

From Dr. Artem Ponomarev

All curves:Coefficients:b[0] -0.0535938836b[1] 34.305726247r ² 0.9978246721

All curves:Coefficients:b[0] 3.3624126153e-3b[1] -0.0215575857b[2] 0.6164458118r ² 0.9932225675

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To better understand the formation of DSBs, a chromatin fiber is build from nucleosome units and linker DNA

Chromatin fiberNucleosome (DNA fragments) Nuclei

Nuclei simulations courtesy of Dr. Artem Ponomarev

DNA damage simulations

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The Binary-Encounter-Bethe (BEB) model of ionization cross section

The energies are expressed in units of ionization potential of the orbital (B):

• t=T/B is the kinetic energy of the incident electron• w=W/B is the kinetic energy of the ejected electron• u=U/B is the kinetic energy of the electron in the orbital

The total cross section is obtained by integration

)log()1(

1)(

11

111

1)1(

1)(

11 3322 t

wwtwwttwwtuts

dwd

1)log()log(11

2111

1 2

2/)1(

0 ttt

ttutsdw

dwdt

Adapted from S. Edel, PhD Thesis, Université de Toulouse (2006)

DNA damage simulations

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In the DNA bases, there are many internal and valence electrons. The BEB model allows to model the ionization for each electron of the molecule.

No U (eV) B (eV) N

Internal electrons (1

8)

1 794.1 559.41 22 794.1 559.18 23 601.5 425.6 24 601.5 425.48 25 435.9 311.36 26 435.9 310.43 27 435.8 308 28 435.7 306.41 29 435.8 305.8 2

Valence electron

s (44)

10 66.26 40.06 211 71.74 39.14 2.0412 63.05 36.16 1.8613 57.89 34.56 1.8514 44.95 30 2.315 43.96 26.22 2.3516 47.64 25.14 2.1117 40.64 24.85 2.1518 41.92 21.32 2.1819 39.28 20.94 2.0220 36.32 19.4 1.8621 44.53 18.7 2.0522 55.89 18.56 1.9223 54.72 17.59 1.9924 39.88 16.62 2.0125 46.93 16.15 2.0326 39.89 15.44 1.7827 47.3 13.96 1.8328 59.96 13.15 1.8629 54.12 12.31 2.0730 60.23 12.10 1.7831 40.38 9.27 1.97

Thymine

Calculations of MO from the site www.chemeddl.org

DNA damage simulations

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The BEB cross section can be written in a form suitable for sampling by a composition method:

where

3

1

3

1)()()(

iiii

ii whwgAwk

dwd

1)(2/)1(

0

t

i dwwg

1)(0 whi

0iA

Adapted from S. Edel, PhD thesis, Université de Toulouse

)log()1(

1)(

11

111

1)1(

1)(

11 3322 t

wwtwwttwwtuts

dwd

11

111 tt

tt

utsA

1111)(1 t

wt

twh 21 )1(1

11)(

wt

twg

)1(1

121

2 ttt

utsA

1

12)(2 twtwh 22 )(

11

)11()(wtt

twg

2

2

3 )1(24)1(

1)log(2

tt

utstA

3

311

21)(

wtwwh 32

2

3 )1(1

4)1()1(2)(

wttwg

DNA damage simulations

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Sampling algorithm and results

Adapted from S. Edel, PhD thesis, Université de Toulouse

DNA damage simulations

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Cross sections can be calculated for the bases, sugars and phosphates. In this case, the medium is considered a succession of homogeneous

media.dx-INdI

x

NduuII0

0 )()/ln(

xWNII i

i

jjij

1

10 )(exp

i

ii

i

jjj

i N

NWWNIp

))exp(1)(exp(1

10

)]1(1log[11

1

jj NW

i

i

jjs eV

NWW

Relative weight

Sampling of Ws

1 2 3 4

W1 W2 W4W3…

DNA damage studies

Adapted from S. Edel, PhD Thesis, Université de Toulouse (2006)

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10-12 – 10-6 s• Particles diffusion• Chemical reactions

The radiolytic species are not uniformly distributed. Therefore, an approach based on Green’s functions of the diffusion equation (DE) is used.

OH + H2O2 HO2 + H2O

Examples of chemical reactions:

(More than 60 reactions...)

2H2Oe-aq + e-

aq H2 + 2 OH-

OH + e-aq OH-

H + H2O2OH + H2O

OH + OH H2O2

H+ + O2- HO2

Number of chemical species created

100 eV deposited energyG(X)=

Radiation chemistry

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DE for the propagation of particles A and B

Transformation of variables

)t,,|t,p(DD

t)/t,,|t,p(

02

B2

A

0

0B0ABABA

0B0ABA

rrr,r

rrr,r

p(rA,rB,t|rA0,rB0,t0): probability of particles A and B to be at positions rAand rB at time t, given that they were at rA0 and rB0 at t0DA, DB: Diffusion coefficients

AB rrr

RR /rr /

)t,,|t,p(DDt)/t,,|t,p( 022

BA0 00rR00 rRrR,rRrR,

)t,|,t,()pt,|t,(p)t,,|t,p( 000 0r

0R

00 rrRRrRrR,

)t,|t,(pDDt)/t,|t,(p 02

BA0 0R

R0R RRRR

)t,|t,(pDDt)/t,|t,(p 02

BA0 0r

r0r rrrr

Uncoupled equations

in r and R

Bimolecular reactions

Van Zon, J. S. et al. (2005) J. Chem. Phys. 123, 234910

)D)/(DD(D BAAB BA rrR

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Free diffusive motion of the coordinate R

pR(R,t|R0,t0): probability distribution of the vector R at time t, given that it was located at position R0 at time t0

D=DA+DB: Sum of the diffusion coefficients

Van Zon, J. S. et al. (2005) J. Chem. Phys. 123, 234910

0)t,|t,|(|p 0 0R RR

)-()t,|t,(p 0 00R RRRR

)t-D(t4

)(exp)]t-D(t4[

1)t,|t,(p0

20

3/20

0RRRR 0

R

(DE)

(Initial condition)

(Boundary condition)

(Solution)

)t,|t,(pDt)/t,|t,(p 02

0 0R

R0R RRRR

Bimolecular reactions

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Free diffusive motion* of the inter-particle separation vector r

For chemical reactions, we need the inter-particle distance r. • Therefore, the DE is written in spherical coordinates. • Only the radial component will be considered (angular dependency terms are neglected).

This considerably simplifies the analytical solution.

p(r,t|r0,t0): probability distribution of the separation distance r at time t, given that it was r0 at time t0

)-()t,|t,(p 0 00r rrrr

(DE)

(Initial condition)

)t,|t,(pDt

)t,|t,(p0

200

rr

0r

rrrr

*We assume that there is no force interacting between particles. This is the case for most of the chemical reactions that we are interested in.

)r|tp(r,

rr

rrD

t)r|tp(r,

02

20 (Radial part of the DE)

Rr),r-(r)r|tp(r,4 0020 r (Initial condition; R=reaction radius)

Bimolecular reactions

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Single HZE ions in photo-emulsions

Leaving visible images

Simple case: partially diffusion-controlled reaction with rate ka and reaction radius R

(Reaction)

(Boundary condition)

(Green’s function)

Ck

BA a

)r|,(r

)r|tp(r,4 002 tRpkDR a

Rr

Dt,

Dt4R2rr

WDt4

)R2rr(exp

Dt4)rr(

expDt4

1)r|tp(r,rr4 02

02

000

Dt4Rr

ErfcDt,Dt4Rr

Wr

1R1)drr|tp(r,r4)r|Q(t 00

0R0

20 (Survival probability)

DRRDka

244

The probability of reaction P(t|r0) = 1 – Q(t|r0). At each time step, the probability of reaction is assessed. If the particles have not reacted, their relative distance is obtained by sampling the Green’s function using the algorithm described in Plante et al. (2013).

Plante, I. et al. (2013) J. Comput. Phys. 242, 531-543

Bimolecular reactions

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Green’s functions Survival probabilities

Green’s function for radiation chemistry

Plante, I. et al. (2013) J. Comput. Phys. 242, 531-543

Simple case: partially diffusion-controlled reaction with rate ka and reaction radius R

Ck

BA a

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Green’s functions (3D) for radiation chemistry

Green’s function with angular dependency (exact)

0n 002/1n2/1n

Dtun

0000 du)r,u(F)r,u(uFe))(cos(P)1n2(

rr41),,r|t,,p(r,

2

2'

a2'

a

''a

)uR(uRY2)uR(Y)1Rk2()uR(uRJ2)uR(J)1Rk2(

)uR(J)ur(Y)uR(Y)ur(JuR2)uR(J)ur(Y)uR(Y)ur(J)1Rk2()r,u(F

van Zon, J. S. and ten Wolde, P. R. (2005) J. Chem. Phys. 123, 234910

Pn(x) nth Legendre polynomial

Jn(x) Bessel function of the first kind

Yn(x) Bessel function of the second kind

=> Even though this distribution is very complex, it is possibleto generate the exact length and the approximate angles of theinter-particle vector from this Green’s function

)cos()sin()sin()cos()cos()cos( 000

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

)(),(lim0

urJruFR

Weber’s formula

≡ Free diffusion!

0n 002/1n2/1n

Dtun

0000 du)r,u(F)r,u(uFe))(cos(P)1n2(

rr41),,r|t,,p(r,

2

2'2'

''

)uR(uRY2)uR(Y)uR(uRJ2)uR(J

)uR(J)ur(Y)uR(Y)ur(JuR2)uR(J)ur(Y)uR(Y)ur(J)r,u(F

0

02/1

4/)(

0000 2

))(cos()12(2

14

1),,r|t,,p(r,2

02

nnn

Dtrr

DtrrIPne

Dtrr

cos

02/1 )(cos)()12(

2z

ikk ePzIk

z

DtrrrreDt

4/)cos2(2/3000

02

02

)4(1),,r|t,,p(r,

• Limiting case: R→0, ka=0• In principle, this should be equivalent to free diffusion

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

Bessel functions

≡ Radial GF!

• Radial distribution of the exact Green’s function• The radial distribution is not function of 0 and 0, so we use

0=0 and 0=0, for which cos()=cos()

0

02)sin()(cos)12( nn dPn

d,0,0)sinr|t,,p(r,2dd,0,0)sinr|t,,p(r,r,0,0)r|tp(r, 00

20

2

0 0

20 r

0

01/21/2Dtu-

0

2

0 001/2n1/2n

Dtu-n0

0

2

0 )duru,(r)Fu,(uFerr

)duru,(r)Fu,(uFerr

,0,0)r|tp(r,22 rr

n

)(/2)(2/1 zjzzJ nn zzzj sin)(0 )(/2)(2/1 zyzzY nn z

zzy cos)(0

0

22200aDtu-

0

2

0 du))(21(

)](sin[)]1()](cos[])((sin[)k(1)]-cos[u(r 2(uuerr

,0,0)r|tp(r,2

ukkurukruurur

aa

a

)r|t(r,p4Dt,Dt4

2rrWDt4

)2rr(expDt4

)r-r(expDt4r

,0,0)r|tp(r, 0rad20

20

20

00 rr

Substituting

Identity

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

• The sampling algorithms for chemical reactions yields values of r, and

• Therefore, we need to work with the distributions p(r,t|r0,θ0,0), p(θ,t|r0,θ0,0) and p(,t|r0,θ0,0).

• These distributions are difficult to obtain for the general case (00, 00) even for simple free 3D diffusion

Dt2

rrsinhDt4

rrexpDtr

rdd)sin,,r|t,,(r,pr),,r|t(r,p 020

2

20

000fr

2

0 0

2000fr

DtriErfcedrr

Dtr

4sin)cos(

21)d)sin(,,r|t,,(r,pr),|t,(p 000

000fr0 0

200,0fr

4/02sin)0(2sin2

0

sin4

sinsin4

coscos)!(

)!22(

)d)sin(,,r|t,,(r,pr),|t,(p

20000)1(24/)coscos1(

02

000fr0

2

0

200,0fr

0222

0

nnDtr

n Dtr

DtrErfcie

nn

drr

z

nn dttErfcizErfci )()( 1

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

• The sampling algorithms for chemical reactions yields distributions of r, and

• The analytical distributions p(r,t|r0,θ0,0), p(θ,t|r0,θ0,0) and p(,t|r0,θ0,0) are difficult to obtain for the general case (00, 00) even for simple free diffusion

• The case 0=0, 0=0 is much simpler since is uniformly distributed between 0 and 2.

• It is possible to sample the distributions in a referential aligned with the z axis and then perform two rotations to get the sampled values for the general case

''''''

cos0sin010

sin0cos

1000cossin0sincos

00

00

00

00

zyx

zyx

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

• Free diffusion for the case 0=0, 0=0• The distributions in Cartesian coordinates are Gaussians.

Their equivalents in spherical coordinates are given by

Dt2rrsinh

Dt4rrexp

Dtrr,0,0)r|t(r,p 0

20

2

20

0fr

DtrErfcier Dtr

2cos)(sin2,0,0)|t,(p 024/sin

0fr

220

21,0,0)|t,(p 0fr r

Cartesian coordinates Spherical coordinates

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Green’s functions (3D) for radiation chemistry

• We know how to sample p(r,t|r0,θ0,0).• The exact Green’s function is difficult to evaluate numerically. • To calculate it we write p(r,,,t|r0,θ0,0) as the sum of free

diffusion and correction terms (van Zon and ten Wolde, 2005)• This approach reduces the number of terms necessary for

convergence

),,r|t,,(r,p),,r|t,,(r,p),,r|t,,(r,p 000corr000fr000ex

max 2

0 022112

221

1Dtu-n

0000corr )uduGRG(R

RRe)(cosP)1n2(

rr41),,r|t,,(r,p

n

n R

)('2)()12( 2/12/11 uJuuJkR nna

)('2)()12( 2/12/12 uYuuYkR nna

)()()()( 02/12/102/12/11 urYurYurJurJG nnnn

)()()()( 02/12/102/12/12 urJurYurYurJG nnnn

van Zon, J. S. and ten Wolde, P. R. (2005) J. Chem. Phys. 123, 234910

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Green’s functions (3D) for radiation chemistry

Plante, I. et al., submitted

• To sample and , we generate values for 0=0, 0=0 and perform the necessary rotations. In this system, is uniformly distributed between 0 and 2

• Use the algorithm from Clifford et al. to generate the angle and =2U1

where U1 and U2 are randomnumbers uniformly distributed [0,1]=rr0/2Dtr0 and r are the inter-particle distances before and after the time step

)exp(-21U1ln

α11CosΘ 2

1

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Single HZE ions in cells

And DNA breaks

Plante, I. (2009) Ph.D. Thesis, University of Sherbrooke

Radiation chemistry

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Single HZE ions in cells

And DNA breaks

Radiation chemistry

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Single HZE ions in cells

And DNA breaks

Single HZE ions in photo-emulsions

Leaving visible images

Primary yields of e-aq, .OH, H., H2 and H2O2 as a function of the LET

Irradiation by 300-0.1 MeV protons

LET: 0.3-85 keV/m

Note: the primary yields (noted GX) are the yields at the end of spur expansion (10-6 s)

Plante, I. (2011), Radiat. Env. Biophys. 50, 405-415

Radiation chemistry

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Single HZE ions in cells

And DNA breaks

The radiation chemistry of DNA is very complex Many reaction rate constants are known

Cadet, J. et al. (1997) Reviews in Physiology, Biochemistry and Pharmacology 31, 1-87

Reaction k (dm3.mol-1.s-1)

Radius (Å)

e-aq+Thymine→Thy(+e) 1.79x1010 5.287

.OH + Thymine → TC5OH.+TC6OH.+TUCH2.

6.4x109 3.02

H.+Thymine→Thymine* 5.7x108 0.11

Radiation chemistry (DNA)

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Release history

RITRACKS was used by the students at the NASA Space Radiation Summer School at the Brookhaven National Laboratory, Upton, New York (June 6-24, 2011, May 28 - June 15, 2012, MIT ICED June 2012)(over 40 users)

The release to international partners was approved in 2011

RITRACKS was released to NASA space radiation community with over 20 users

The software is now available for download on the web site http://spaceradiation.usra.edu/irModels/ (ITAR, authentication and password required) http://spaceradiation.usra.edu

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Release history

An online version of RITRACKS will be available soon!

Left: Simulation of a 12C6+, 60 MeV/amu, on the projected RRAW site.

Right: Calculation of the radial dose for the track depicted on the left

The track structure data and the radial dose are available for download after calculation

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Future plans for development and use

Implementation of the non-homogeneous chemistry Predictions of clustered and complex DNA damage

yields in human cells for improving the understanding of DNA repair and signal transduction

Use with chromosome models to study double-strand breaks (DSB) in relation to cancer risks from space radiation

Web-based version New GPU-CPU version to improve computational

speeds by several orders of magnitude.

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Future plans for development and use

Android/iPhone version For ions:

• LET• Relativistic and • Zeff and Zeff

2/2

• Maximum energy transfer to an electron• Dose and fluence• Radial dose• Number of hits per cell in a cell culture

For electrons:• Relativistic and • Range

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Future plans for development and use

Android/iPhone version For ions:

• LET• Relativistic and • Zeff and Zeff

2/2

• Maximum energy transfer to an electron

• Dose and fluence• Radial dose• Number of hits per cell• in a cell culture

For electrons:• Relativistic and • Range

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Single HZE ions in cells

And DNA breaks

Using RITRACKS

The installer• The necessary files are included in an installer created by the freeware

InstallJammer• The program is installed in the folder C:\Program Files (x86)\RITRACKS• Simulations are stored the subfolder RITRACKS Simulations in the My

Documents folder

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RITRACKS main window

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Single HZE ions in cells

And DNA breaks

Rest mass energy:

Total energy:

Relativistic :

Relativistic :

Momentum:

Maximum energy

Transfer to e-:

LET (MeV/cm):

(Bethe)

2Mc

2Mc

1Mc/T 2

22 /11

Mvp

2

22

max )M/m()M/m(21)1(mc2E

31.4)(F170.0dxdE

2

22

26

110x02.1ln)(F

The following information is given in this window

Radiation info window

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Electron cross sections window

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Visualization windowTools: - Rotation

- Translation

- Zoom

- Save to file

- Copy to clipboard

- Create a .avi file

- Open data folder

Visualization:

- Radiolytic species

- Events

- Dose (voxels)

Time evolution

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RITRACKS tools

Calculation of tracks per cell in a cell culture for a given ion, energy and dose

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Homework

Install RITRACKS Max the number of CPUs Click on the More button for the

Radiation Info window

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Homework

Simulations:• 1 ion 12C6+, 25 MeV/amu, of length 5 m. Use the following

parameters: #Copy = 1 and #Histories/Copy = 20 #Copy = 10 and #Histories/Copy = 2 Notice the difference in the progress window and calculation time

Visualize the tracks with the 3D interface• Use visualization tools (displace, rotate, zoom, copy to clipboard, save

to file, reset parameters, open folder).• Zoom and un-zoom (to un-zoom, draw a zoom box from the bottom

right to upper left)• Use the time evolution bar.• Change the simulation number and click Draw.• Create an avi file of the track. Click on the movie icon, click on Create

AVI, enter a name (test.avi).

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Homework

Visualize the tracks with the 3D interface• Switch between voxel dose and track. In the voxel dose

representation, vary the threshold scale (the slider located at the left of the dose scale)

• Display the axis (go to Options->Visualization, select the tab Axis and check the boxes).

Display the radial dose and voxel dose (from the main interface window).

Repeat the simulations with the following ions• 1 ion 56Fe26+, 1000 MeV/amu, of length 5 m (10 histories)• Irradiation of a cube of 5 m x 5 m x 5 m with 450 x 300 MeV

protons (1 history)• Irradiation of a cube of 5 m x 5 m x 5 m with 1 1000 MeV/amu

56Fe26+ ions (1 history)

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References

Plante I and Cucinotta FA (2012). Lecture Notes in Computer Sciences 7845, 12-25 Plante I, Ponomarev AL and Cucinotta FA (2011). Radiat. Prot. Dosim., 143, 156-161. Plante I and Cucinotta FA (2011). Book chapter published in: Mode, CJ (Ed.) Applications

of Monte-Carlo Methods in Biology, Medicine and Other fields of Science. InTech, Rijeka,Croatia.

Durante M, and Cucinotta FA (2011), The Physical Basis for Radiation Protection in Space.Reviews of Modern Physics 83, 1245-1281.

Plante I and Cucinotta FA (2010). Radiat. Env. Biophys. 49, 5-13. Plante I and Cucinotta FA (2008). New J Phys 10, 125020. Plante I and Cucinotta FA (2009). New J Phys 11, 063047. Cucinotta FA, and Durante M (2006). Cancer risk from exposure to galactic cosmic rays:

implications for space exploration by human beingsThe Lancet Oncology 7, 431-435. Cucinotta FA, Nikjoo H, and Goodhead DT (2000). Model of The Radial Distribution of

Energy Imparted in Nanometer Volumes From HZE Particle. Radiat Res 153, 459-468. Cucinotta FA, Nikjoo H, and Goodhead DT (1999), Applications of Amorphous Track

Models in Radiobiology. Radiat Environ Biophys 38, 81-92. Cucinotta FA, Katz R, and Wilson JW (1998), Radial Distributions of Electron Spectra from

High-Energy Ions. Radiat Environ Biophys 37, 259-265.

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Single HZE ions in cells

And DNA breaks

Single HZE ions in photo-emulsions

Leaving visible images

Dr. Luc Devroye (McGill University) Brian Fessler (USRA-Houston) Dr. Francis Cucinotta Radiation Biophysics group USRA NASA Dr. John Norbury

Acknowledgements