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CRIS-2010
COMPARISON OF EAS SIMULATION
RESULTS USING CORSIKA CODE FOR
DIFFERENT H.E. INTERACTION
MODELS
Chabin Thakuria and K. Boruah
Dept. of Physics, Gauhati University, Assam, INDIA
15th Sep, 2010
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Out line of the talk CRIS-2010
Introduction
Primary Energy Spectra
Need for Simulation
Monte-Carlo & CORSIKA
About Monte Carlo Method
CORSIKA
Hadronic Interaction Models
Hadronic Interaction Models
Method
Result
Discussion
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Primary Energy Spetra
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Primary Energy Spectra CRIS-2010
1 Count-rate for cosmic ray of energy 1011eV is one countper m2 per second , where
2 at knee 4x1015eV is one count per m2 per year whereas
3 at ankle 5x1018eV is one count per km2 per year .
Hence Cosmic Rays of energy above 1014eV, because of verylow flux, can be studied indirectly by detecting secondaryparticles produced in the atmosphere using ground basedparticle detector array.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Primary Energy Spectra CRIS-2010
1 Count-rate for cosmic ray of energy 1011eV is one countper m2 per second , where
2 at knee 4x1015eV is one count per m2 per year whereas
3 at ankle 5x1018eV is one count per km2 per year .
Hence Cosmic Rays of energy above 1014eV, because of verylow flux, can be studied indirectly by detecting secondaryparticles produced in the atmosphere using ground basedparticle detector array.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Primary Energy Spectra CRIS-2010
1 Count-rate for cosmic ray of energy 1011eV is one countper m2 per second , where
2 at knee 4x1015eV is one count per m2 per year whereas
3 at ankle 5x1018eV is one count per km2 per year .
Hence Cosmic Rays of energy above 1014eV, because of verylow flux, can be studied indirectly by detecting secondaryparticles produced in the atmosphere using ground basedparticle detector array.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Primary Energy Spectra CRIS-2010
1 Count-rate for cosmic ray of energy 1011eV is one countper m2 per second , where
2 at knee 4x1015eV is one count per m2 per year whereas
3 at ankle 5x1018eV is one count per km2 per year .
Hence Cosmic Rays of energy above 1014eV, because of verylow flux, can be studied indirectly by detecting secondaryparticles produced in the atmosphere using ground basedparticle detector array.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Need for Simulation CRIS-2010
Also, to study and analyse Cosmic Rays
above 1PeV, one has to rely heavily on
Monte-Carlo Simulation models.
These theoretical models are developed
based on high energy particle interaction
characteristics derived mostly from
accelerator data.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Need for Simulation CRIS-2010
Also, to study and analyse Cosmic Rays
above 1PeV, one has to rely heavily on
Monte-Carlo Simulation models.
These theoretical models are developed
based on high energy particle interaction
characteristics derived mostly from
accelerator data.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
The Monte Carlo method provides approx.
solutions to a variety of mathematical
problems by performing statistical sampling
of experiments on a computer.
In this method computer generated pseudo
numbers are used to simulate a physical
process, which is divided into step by step
procedures.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
The Monte Carlo method provides approx.
solutions to a variety of mathematical
problems by performing statistical sampling
of experiments on a computer.
In this method computer generated pseudo
numbers are used to simulate a physical
process, which is divided into step by step
procedures.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
Using a known probability distribution of the
physical process at every step, the outcome
is determined using random numbers. Thus
in Monte Carlo simulation one generates
many virtual or artificial events according to
model selected with particular choices.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
These events may then be statistically analyzed toyield real observable parameters and compared withthe existing real data.
This method applies to problems with noprobabilistic content as well as those with inherentprobabilistic structure.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
These events may then be statistically analyzed toyield real observable parameters and compared withthe existing real data.
This method applies to problems with noprobabilistic content as well as those with inherentprobabilistic structure.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Monte Carlo Method CRIS-2010
These events may then be statistically analyzed toyield real observable parameters and compared withthe existing real data.
This method applies to problems with noprobabilistic content as well as those with inherentprobabilistic structure.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA (COsmic Ray SImulations for KAscade)is a detailed Monte Carlo program to study the 4-Devolution and properties of extensive air showers inthe atmosphere.
It was developed to perform simulations for theKASCADE experiment at Karlsruhe in Germany.
Now various features of this versatile code isexploited by scientific community around the globe.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA (COsmic Ray SImulations for KAscade)is a detailed Monte Carlo program to study the 4-Devolution and properties of extensive air showers inthe atmosphere.
It was developed to perform simulations for theKASCADE experiment at Karlsruhe in Germany.
Now various features of this versatile code isexploited by scientific community around the globe.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA (COsmic Ray SImulations for KAscade)is a detailed Monte Carlo program to study the 4-Devolution and properties of extensive air showers inthe atmosphere.
It was developed to perform simulations for theKASCADE experiment at Karlsruhe in Germany.
Now various features of this versatile code isexploited by scientific community around the globe.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
The CORSIKA program allows simulatinginteractions and decays of nuclei, hadrons,muons, electrons, and photons in theatmosphere up to energies of some 1020eV.
It gives type, energy, location, direction, andarrival times of all secondary particles that arecreated in an air shower and pass a selectedobservation level.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
The CORSIKA program allows simulatinginteractions and decays of nuclei, hadrons,muons, electrons, and photons in theatmosphere up to energies of some 1020eV.
It gives type, energy, location, direction, andarrival times of all secondary particles that arecreated in an air shower and pass a selectedobservation level.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA basically consists of 4 parts.
The first part is a general program framehandling the input and output, performingdecay of unstable particles, and tracking of theparticles taking into account ionization energyloss and deflection by multiple scattering andthe Earth’s magnetic field.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA basically consists of 4 parts.
The second part treats the hadronic interactionsof nuclei and hadrons with the air nuclei athigher energies.
The third part simulates the hadronicinteractions at lower energies, and,
The fourth part describes transport andinteraction of electrons, positrons, and photons.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA basically consists of 4 parts.
The second part treats the hadronic interactionsof nuclei and hadrons with the air nuclei athigher energies.
The third part simulates the hadronicinteractions at lower energies, and,
The fourth part describes transport andinteraction of electrons, positrons, and photons.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA basically consists of 4 parts.
The second part treats the hadronic interactionsof nuclei and hadrons with the air nuclei athigher energies.
The third part simulates the hadronicinteractions at lower energies, and,
The fourth part describes transport andinteraction of electrons, positrons, and photons.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
CORSIKA contains several models for the latterthree program parts that may be activatedoptionally with varying precision of thesimulation and consumption of CPU time.High-energy hadronic interactions may betreated by one of the models:
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
1 DPMJET (Dual Parton Model with JETs)2 EPOS (Electron Positron Scattering)3 NEXUS (NEXt generation Unified Scattering approach)4 QGSJET (Quark-Gluon String model with JETs)5 SIBYLL(QCD Based mini jet model)6 VENUS (Very Energetic NUclear Scattering )7 FLUKA (FLUctuating KAscade)8 GHEISHA (Gamma Hadron Electron Interaction SHower
code)9 UrQMD (Ultra relativistic Quantum Molecular
Dynamics)
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
About CORSIKA CRIS-2010
1 DPMJET (Dual Parton Model with JETs)2 EPOS (Electron Positron Scattering)3 NEXUS (NEXt generation Unified Scattering approach)4 QGSJET (Quark-Gluon String model with JETs)5 SIBYLL(QCD Based mini jet model)6 VENUS (Very Energetic NUclear Scattering )7 FLUKA (FLUctuating KAscade)8 GHEISHA (Gamma Hadron Electron Interaction SHower
code)9 UrQMD (Ultra relativistic Quantum Molecular
Dynamics)
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
QGSJET...
Quark Gluon String with JETs is the mostsuccessful model describing the HE hadronicinteraction. This model offered relatively easyapproach to the simulation of cosmic rayinteractions at higher energies, as well asensured a good agreement to the acceleratordata at lower energies.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
QGSJET...
In this model the appropriate cross sections for the inelasticinteraction between hadrons i and j are calculated using theexpression
χij(s, b) = χsij(s, b) + χh
ij(s, b)
where χsij(s, b) and χh
ij(s, b) represent the soft and semihardpomerons respectively. s is the centre of mass energy and b isthe impact parameter.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
QGSJET...
The total cross section in this model is given by the formula
σtij(s) = 1
eij
∫
d2b[
1 − exp{
eij(χsij(s, b) + χh
ij(s, b))}]
where eij is the so-called shower enhancement co-efficient, forpp interactions epp = 1.5.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
DPMJET...
Dual Parton Model with JETs is based on thetwo components Dual Parton Model andcontains multiple soft chains as well as multipleminijets.It relies on the Gribov-Regge theoryand the interaction is described by multiPomeron exchange.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
DPMJET...
The total cross section in this model is given by the formula
σtij(b, s) = 4π
∫ inf
0 bdb [1 − exp(χij(s, b)]
where χij(s, b) represents total Pomeron in this model.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
EPOS...
EPOS is a simple model where an exchange ofa parton ladder between the two hadrons can berelated to high energy hadron-hadroninteraction.
According to this model, parton ladder containstwo parts where the hard part describes theparton-parton hard scattering, while the softpart is a purely phenomenological object,parameterized in Regge pole fashion.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
EPOS...
EPOS is a simple model where an exchange ofa parton ladder between the two hadrons can berelated to high energy hadron-hadroninteraction.
According to this model, parton ladder containstwo parts where the hard part describes theparton-parton hard scattering, while the softpart is a purely phenomenological object,parameterized in Regge pole fashion.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Interaction Model CRIS-2010
EPOS...
EPOS is a consistent quantum mechanicalmultiple scattering approach based on partonsand strings, where cross sections and theparticle production are calculated consistently,taking into account of energy conservation inboth cases
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
Method
To study the different shower parameters due tochange in hadronic interaction model, we havegenerated extensive air showers using CORSIKAsimulation with six hadronic interaction models.Here we have considered two primary masses(proton and iron) and four primary energies(1014eV, 1015eV, 1016eV and 1017eV). There arealtogether 46 sets of events with 1000 showerseach.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
1 Simulation is performed considering only the verticalshowers at the average sea level .
2 THIN options are selected for flat horizontal detector.3 The relevant data are extracted from the output DATA
files using inbuilt FORTRAN program.4 The extracted data are then analysed using simple C++
program in the ROOT environment.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
1 Simulation is performed considering only the verticalshowers at the average sea level .
2 THIN options are selected for flat horizontal detector.3 The relevant data are extracted from the output DATA
files using inbuilt FORTRAN program.4 The extracted data are then analysed using simple C++
program in the ROOT environment.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
1 Simulation is performed considering only the verticalshowers at the average sea level .
2 THIN options are selected for flat horizontal detector.3 The relevant data are extracted from the output DATA
files using inbuilt FORTRAN program.4 The extracted data are then analysed using simple C++
program in the ROOT environment.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
1 Simulation is performed considering only the verticalshowers at the average sea level .
2 THIN options are selected for flat horizontal detector.3 The relevant data are extracted from the output DATA
files using inbuilt FORTRAN program.4 The extracted data are then analysed using simple C++
program in the ROOT environment.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Method CRIS-2010
1 Simulation is performed considering only the verticalshowers at the average sea level .
2 THIN options are selected for flat horizontal detector.3 The relevant data are extracted from the output DATA
files using inbuilt FORTRAN program.4 The extracted data are then analysed using simple C++
program in the ROOT environment.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
No.of Muon Vs No. of Electron
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 It is observed that for all the models iron primary showersproduce greater no. of muons as compared to thatproduced by proton primary showers
2 The model dependence of the parameter< Nµ > isstudied by calculating Merit Factor (MF)for eachmodel(M) compared to QGSJET,
MF=<Nµ(M)>−<Nµ(Q)>√σ2
M+σ2
Q
3 The values of MF for each case found to be < 0.1.Thisshows that there is no significant differences.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 It is observed that for all the models iron primary showersproduce greater no. of muons as compared to thatproduced by proton primary showers
2 The model dependence of the parameter< Nµ > isstudied by calculating Merit Factor (MF)for eachmodel(M) compared to QGSJET,
MF=<Nµ(M)>−<Nµ(Q)>√σ2
M+σ2
Q
3 The values of MF for each case found to be < 0.1.Thisshows that there is no significant differences.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Muon no divided by Energy Vs Energy
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Muon no divided by Energy Vs Energy
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 The EPOS and VENUS curves are flatter
2 Both the curves have significantly higher values than thatpredicted by the DPMJET and SYBILL.
3 Predictions by the QGSJET01 and QGSII have the valuesin between these values.
4 Slope of the curves for DPMJET, SYBILL, QGSJET01and QGSII are almost equal.
5 Relative differences between for example epos-protoncurve and the dpmjet-proton curve increases graduallywith energy from about 10 % at 1014eV to about 33 % at1017eV
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Depth of Shower maximum Vs Energy
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Result CRIS-2010
Findings
1 It is observed that irrespective of High Energy HadronicInteraction Models, the experimental data fall in betweenthe iron and proton curves as expected.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Discussion CRIS-2010
Discussion1 So far depth of shower maximum and muon Vs electron
number is considered, all the models show consitancyamong themselves.
2 But when we consider ratio of muon to primary energy,SIBYLL and EPOS gives significantly higher valuescompared to that obtained by the rest of the models.
3 This parameter may be used to study model dependenceat higher energy.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Discussion CRIS-2010
Discussion1 So far depth of shower maximum and muon Vs electron
number is considered, all the models show consitancyamong themselves.
2 But when we consider ratio of muon to primary energy,SIBYLL and EPOS gives significantly higher valuescompared to that obtained by the rest of the models.
3 This parameter may be used to study model dependenceat higher energy.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Discussion CRIS-2010
Discussion1 So far depth of shower maximum and muon Vs electron
number is considered, all the models show consitancyamong themselves.
2 But when we consider ratio of muon to primary energy,SIBYLL and EPOS gives significantly higher valuescompared to that obtained by the rest of the models.
3 This parameter may be used to study model dependenceat higher energy.
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
To Be Done.. CRIS-2010
Simulation to be done for higher energies.Study Zenith angle dependence
To Find sensitiveparameter
Observablessensitive to model
Viable StatisticalTests
Low EnergySubroutines
To comparedifferent lowenergy subroutines
Compare diff.cross sectionpredictions
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA
Thank You.. CRIS-2010
T HANK YOUFOR ATTENTION
Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA