FLUKA as a new high energy cosmic ray generator G. Battistoni, A. Margiotta, S. Muraro, M. Sioli...
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Transcript of FLUKA as a new high energy cosmic ray generator G. Battistoni, A. Margiotta, S. Muraro, M. Sioli...
FLUKA as a new high energy cosmic ray generator
G. Battistoni, A. Margiotta, S. Muraro, M. Sioli(University and INFN of Bologna and Milano)
for the FLUKA Collaboration
Blois 2008, Challenges in Particle Astrophysics
M. Sioli, Blois 2008 2
Outline
Motivations Main features of FLUKA Code structure The geometry setup
The underground caseThe underwater case
First results Conclusions
M. Sioli, Blois 2008 3
Motivations Extend the existing FLUKA cosmic-ray library to include
the TeV region (primaries at the knee of the spectrum), aimed to underground and underwater sites
Different approach with respect to past and present cosmic ray generators: use of a unique framework (FLUKA) for the whole simulation. From 1ry interaction in the upper atmosphere up to the detector level (and the detector itself, in principle)
Provide a prediction data set (muons and muon-related secondaries) for some topic sites: presently for LNGS and ANTARES sites
Cross check with other dedicated simulation packages (HEMAS, CORSIKA, Cosmos)
Cross check with past experimental data (e.g. MACRO)
M. Sioli, Blois 2008 4
Main features of FLUKA
FLUKA is a general purpose Monte Carlo code for the interaction and transport of particles in matter in a wide range of energies in user-defined geometries
Applications span from shielding design, space physics, calorimetry, dosimetry, medical physics, detector design, particle physics etc.
The code is maintained and developed under a CERN-INFN agreement
More than 1000 users all over the world Physics models (e.g. hadronic interaction models) are built according
to a theoretical microscopic point of view (no parameterizations) few free parameters, high predictivity but low flexibility
Cosmic Ray physics with FLUKA “triggered” by: HEP physics (e.g. atmospheric neutrino flux calculations) radioprotection in space
FLUKA authors: A. Fasso1, A. Ferrari2, J. Ranft3, P.R. Sala4
1 SLAC Stanford, 2 CERN, 3 Siegen University, 4 INFN Milan
Official web site: www.fluka.org
M. Sioli, Blois 2008 5
(ordinary) meson decay: dN/d cos~ 1/ cos
Primary C.R. proton/nucleus: A,E,isotropic
hadronic interaction: multiparticle production (A,E), dN/dx(A,E) extensive air shower
short-lifetimemeson production and prompt decay
(e.g. charmed mesons)Isotropic ang. distr.
detection: N(A,E), dN/dr
transverse size of bundle Pt(A,E)
(TeV) muon propagation in the rock: radiative processes andfluctuations
Multi-TeV muon transport
Primary p, He, ..., Fe nuclei with lab. energy from 1 TeV/nucleon up to >10000 TeV/nucleon
The physics of CR TeV muons
The FLUKA hadronic interaction models(for a detailed study of their validity for CR studies see hep-ph/0612075 and 0711.2044)
Hadron-HadronElastic,exchange
Phase shifts
data, eikonal
P<3-5GeV/c
Resonance prod
and decay
low E π,K
Special
High Energy
DPM
hadronization
Hadron-Nucleus Nucleus-Nucleus
E < 5 GeV
PEANUT
Sophisticated GINC
Preequilibrium
Coalescence
High Energy
Glauber-Gribov
multiple interactions
Coarser GINC
Coalescence
E< 0.1GeV/u
BME
Complete fusion+
peripheral
0.1< E< 5 GeV/u
rQMD-2.4
modified
new QMD
E> 5 GeV/u
DPMJET
DPM+
Glauber+
GINC
Evaporation/Fission/Fermi break-up
deexcitation
> 5 GeV Elab
DPM: soft physics based on (multi)Pomeron exchangeDPMJET: soft physics of DPM plus 2+2 processes from pQCD
Relevant forRelevant forHE C.R. physicsHE C.R. physics
M. Sioli, Blois 2008 7
Code structure Geometry description Generation of the kinematics (i.e. the source
particles) ↔ 1ry cosmic ray composition model Output file on an event by event basis (root tree
file): information on primary cosmic ray generating the
shower for each particle reaching the detector level, stores all
the relevant parameters (particle ID, 3-momenta, vertex coordinates, momentum in atmosphere, information on the parent mesons etc)
N.B. With FLUKA, shower generation, transport in the sea/rock, and particle folding in the detector is performed inside the same framework
(otherwise different tools have to be patched together)
M. Sioli, Blois 2008 8
Geometry setup (e.g. LNGS site)
100 atmospheric shells 1 spherical body for the mountain, whose radius is
dynamically changed, according to primary direction and to the Gran Sasso mountain map (direction rock depth)
1 rock box surrounding the experimental underground halls, where muon-induced 2ry are activated (e.m. and hadron showers from photo-nuclear interactions)
Underground halls: one box + one semi-cylinder Possibility to include simultaneously more than one
experimental Hall to study large transverse momentum secondaries with detector coincidences)
M. Sioli, Blois 2008 9Earth
Geometry for underground sites
Spherical mountain whose radius isdynamically changed using a detailedtopographical map
Atmosphere
Primary injection point
z020
22 dcR2RdR
R
d
R0
z
M. Sioli, Blois 2008 10
Geometry setup: LNGS halls
LNGS underground halls
External (rock)volume to propagateall particles down to100 MeV
muon-producedsecondaries
M. Sioli, Blois 2008 11
Geometry setup (underwater) Underwater case (e.g. ANTARES)
100 atmospheric shells Simpler geometrical description (see ≡ concentrical
spherical shell of water) Can ≡ virtual cylindrical surface which set the
boundaries for the active volume (instrumented with PM-equipped lines)
Eventually include also here an “active layer” (for secondary production and following)
M. Sioli, Blois 2008 12
Atmosphere
Earth
Sea Can
Geometry for underwater sites
M. Sioli, Blois 2008 13
Technical issues (biasing)
initialize energy band boundaries for 1ry cosmic rays:
lower bound is computed according to muon survival probabilities
recompute “on the fly” energy thresholds: kill particles with Ekin<800 GeV at mountain
entrance kill particles with Ekin<2 GeV inside mountain kill particle with Ekin<100 MeV inside rock shell
M. Sioli, Blois 2008 14
Muon and 1ry thresholds
In order to bias the deeply falling spectrum, production is divided in 5 energy bins and 6 angular windows
Muons with E<Emin have a probability < 10-5 to survive at hMIN
M. Sioli, Blois 2008 15
Minimum energy/nucleus(TeV) for each mass group,as the function of the angularwindow
Energy/nucleus (TeV) for each mass group, for angular window W6
Muon and 1ry thresholds
M. Sioli, Blois 2008 16
Primary sampling
Primary energy spectrum has the form:
Possibility to choose among different spectra (now MACRO-fit is implemented)
Sampling done re-adapting some HEMAS routines
Aknee
A2
Aknee
A1
EE,EKdEdN
EE,EKdEdN
A2
A1
EEcut
~2.7÷3Ecut~3000 TeV
M. Sioli, Blois 2008 17
Some results from the simulation
For a given site (e.g. Hall C at LNGS), possibility to parameterize all particle components reaching the underground level
muons
photons
electrons
log10 Ekin (GeV)
even
ts/y
ear
Vertexes of particles entering in the Hall C at LNGS
M. Sioli, Blois 2008 18
FLUKA and HEMAS-DPM comparison We cross-checked FLUKA with HEMAS-DPM code:
HEMAS was a shower code extensively used in the MACRO collaboration
At the beginning (~1990), HEMAS was the name of both the shower propagation code and of the embedded hadronic interaction model (based on UA1 parameterizations) this version was used to produce the so-called MACRO-fit 1ry composition model
Later, HEMAS native interaction model was superseeded with DPMJET-II.4 (HEMAS-DPM, Battistoni 1997)
Muon transport in rock treated with another dedicated package (PROPMU, Lipari-Stanev 1991)
HEMAS output (only muons) is on an infinite area at underground levelmuons have to be sampled on the surface of a box surrounding detector sensitive volumes
DIRECT comparison
M. Sioli, Blois 2008 19
FLUKA and HEMAS-DPM comparison
HEMAS
FLUKA
( MACRO-fit + DPMJET-II.4 )
( MACRO-fit + DPMJET-II.53 )
Nor
mal
ized
d t
o th
e sa
me
livet
ime
M. Sioli, Blois 2008 20
FLUKA and HEMAS-DPM comparison
HEMAS
FLUKA
( MACRO-fit + DPMJET-II.4 )
( MACRO-fit + DPMJET-II.53 )
Nor
mal
ized
d t
o th
e sa
me
livet
ime
M. Sioli, Blois 2008 21
FLUKA and HEMAS-DPM comparison
HEMAS
FLUKA
( MACRO-fit + DPMJET-II.4 )
( MACRO-fit + DPMJET-II.53 )
Nor
mal
ized
d t
o th
e sa
me
livet
ime
M. Sioli, Blois 2008 22
Conclusions FLUKA can be used as a new high energy cosmic ray
generator for underground and underwater physics The package has been developed using LNGS and
ANTARES sites as examples; however, it can be easily extended to other sites, provided the map of the rock overburden or the depth of underwater sites
First comparisons with other dedicated MC codes (HEMAS)
Next steps: Introduce other 1ry cosmic ray composition models Comparisons with experimental data, e.g.:
MACRO unfolded multiplicity distribution MACRO unfolded decoherence distribution Muon induced neutron flux at LNGS Muon charge ratio with OPERA/MINOS spectrometers
M. Sioli, Blois 2008 23
spares
M. Sioli, Blois 2008 24
Rock map overburden @ LNGS
A map is an ascii file with three colums: zenith, azimuth and the corresponding rock depth (in m)
We have a topographical map from the Italian IGM (up to 94 deg):
Distances are related to the central part of Hall B (including some badly known bins in the map)
Rock density from core sample campaign (2001) Starting from these data, it’s possible to reproduce
the map in every other place (Hall A, Hall C etc.) interpolation of scattered data