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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 CORSI

COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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Page 1: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 2: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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Primary Energy Spetra

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

Page 4: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 5: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 6: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 7: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 8: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 9: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 10: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 11: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 12: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

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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

Page 15: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 16: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 17: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 18: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 19: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 20: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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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

Page 22: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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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

Page 24: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 25: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 26: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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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

Page 28: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

Page 40: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 41: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 42: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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Result CRIS-2010

No.of Muon Vs No. of Electron

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

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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

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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

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Result CRIS-2010

Muon no divided by Energy Vs Energy

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

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Result CRIS-2010

Muon no divided by Energy Vs Energy

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

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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

Page 49: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 50: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 51: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 52: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

Page 53: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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Result CRIS-2010

Depth of Shower maximum Vs Energy

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA

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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

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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

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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

Page 58: COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE ... · COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA CODE FOR DIFFERENT H.E. INTERACTION MODELS Chabin Thakuria and K

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

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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

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Thank You.. CRIS-2010

T HANK YOUFOR ATTENTION

Chabin Thakuria and K. Boruah COMPARISON OF EAS SIMULATION RESULTS USING CORSIKA