Transcript Slide 1

Geant4 simulation of the
upgraded ALC spectrometer
K. Sedlak1, A. Stoykov1,2, R. Scheuermann1, T. Shiroka1
1
Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland
2
Joint Institute for Nuclear Research, 141980 Dubna, Russia
The detector system of the Avoided Level Crossing SR spectrometer, installed at PSI, Switzerland, was completly rebuild in 2007. One of the main
motivations for the upgrade was to simplify the dependence of the measured asymmetry on the applied external magnetic field. To achieve this goal, we
have simulated the ALC detector using the numerical Monte Carlo package Geant4, and subsequently used this simulation to optimise the ALC design.
The upgraded ALC detector (utilising Geiger-mode avalanche photodiodes instead of PMTs) is described in detail in a different poster of this conference.
The ALC spectrometer
Comparison of the simulations and measurements
The ALC detector is embedded inside a 5 Tesla superconducting solenoid. The
detector consists of a forward (FW) and backward (BW) rings, each of them made of
10 scintillation positron counters.
Geant 4 simulations (stars) are compared with data for two different copper sample
thicknesses in presence and absence of a 1mm thick lead tube inside the forward
detector mimicking a cryostat wall.
Positron counter
3)
Amplifier (gain ~ 20, bw ~ 70 MHz)
EJ-204A (120x28x5 mmBCF-92
(Ø 1mm)2x SSPM 0701BG
Photographs of the upgraded ALC spectrometer (left), of the detector module (middle right) and of
the positron counter (bottom right) and a design view of the ALC detector (upper right).
How does the initial muon beam influence the asymmetry?
ALC detector and its exploded
view as implemented in the
simulation program.
Threshold on the energy deposited in the positron counters
Energy deposits of all particles (decay e+, e-, γ,  ) in a positron counter are summed
up. Only hits above the energy threshold Ethr (normally set to 0.5 MeV) are
accepted.
Time-integral
operation mode:
Number of counts in
backward, NB, and
forward, NF,
detectors is
recorded for a
predefined time
interval. The counts
are corrected for
multiple hits by
vetoing hits within
~80ns after any
accepted hit.
Subsequently the
asymmetry is
calculated as
B=2T
Penetration depth (a) and oscillations of the beamspot size (b) depend on the initial muon momentum.
The same is true for the asymmetry.
B=4T
Left:
B=0T
The different
muon beam
spatial distribution
does not seem to
influence the
asymmetry
significantly.
Right:
The initial muon
spin polarisation,
however, plays an
important role.
NB  NF
A
NB  NF
Gaussian beam ... muons distributed around the z-axis according to the Gaussian distribution
Homogeneous beam ... muons homogeneusly distributed in space inside the beam pipe
Point-like beam ... muons generated on the z-axis with x=y=0.
TURTLE beam ... beam generated by TURTLE using the setting of the present πE3 beam-line.
Conclusions
Hit multiplicities (MF, MB) are
constructed as the ratii of all
individual forward (backward)
counters over the total
forward (backward) counts
corrected for multiple hits that
happened within ~80ns time
window.
Measured
MF,
MB
are
surprisingly well described by
the simulation.
The project has been supported by the European Commission under the 6th Framework Programme through the Key
Action: Strengthening the European Research Area, Research Infrastructures. Contract no.: RII3-CT-2003-505925.
The simulation of the ALC detector based on the Geant4 package reproduces the
shapes of the experimentally measured quantities, and correctly predicts their
dependence on the sample thickness. Even though the absolute normalisation of
the simulations is not perfect, the Geant4 predictions turned out to be a very useful
tool for the ALC detector upgrade optimisation.
The differences between simulations and measurements can be due to
imperfections in the description of the detector components, of muon beam
parameters and of the approximation of the field map of the ALC magnet used in the
simulation program, or due to effects not included in the simulation.