High resolution g-ray spectroscopy using
beams from the new GSI fragmentation facility will enable unique nuclear
structure studies to be performed. At energies between 50 and 200 A·MeV single
step Coulomb excitation and secondary fragmentation can be employed. The first
process populates highly excited low-spin states up to the Giant resonances
while the second leads to fragments at high spin, 30ħ [Jon98]. By slowing down the beam to energies around the Coulomb
barrier the classical reaction types (transfer, deep-inelastic or compound
nucleus reactions) become available with beam intensities of >105 particles/s. By decay
spectroscopy after implantation very rare beam species down to 10-3
particles/s can be studied.
The development of a
detection system suitable for these challenging experimental conditions started
from the Euroball project [Sim97] and evolved into the concept of g-ray tracking as a result of the R&D
performed by GRETA [Del99], MARS [Kro00] and the TMR network Gamma Ray Tracking
Detectors [Lie01]. The segmented Ge detector arrays Exogam [Sim00], Miniball
[Ebe97] and Vega [Ger98], are already going to exploit some of its benefits, but
it is with the Advanced
GAmma
Tracking
Array,
AGATA, that
the new concept is taken to reality. As a result, AGATA will be orders of
magnitude more powerful than all current and near-future arrays, overcoming
therefore many of their limitations. AGATA will be realized within a European
collaboration and is intended to be employed in experimental campaigns at
radioactive and stable beam facilities in Europe.
The exotic beams from the new GSI facility impose the most stringent design criteria for the new g-ray spectrometer. They result from limited beam intensities, particularly for the most exotic nuclei, a wide range of beam velocities (from stopped to v/c»50%), high g-ray and particle backgrounds and g-ray multiplicities up to Mg=30, which are typical characteristics of the reactions. A 4p g-ray array with highest efficiency, selectivity and energy resolution is required which is capable of high event rates. The main properties of such an array are summarised in table 1. These features can only be achieved with a close packed arrangement of Ge detectors, i.e. a 4p shell built from large, highly segmented Ge crystals. The individual interaction points of the g quanta have to be disentangled (“tracked”) by tracking algorithms.
Table 1 Basic properties of AGATA
|
Photo-peak efficiency Peak-to-total ratio Angular resolution Event rates |
Pph (Eγ = 1 MeV, Mγ = 1,
b<50%) Pph (Eγ = 1 MeV, Mγ = 30, b<50%) Pph (Eγ = 10
MeV, Mγ = 1) P/T (Mγ = 1) Dqg (DE/E<1%) for Mγ = 1 for
Mγ = 30 |
50% 25% 10% 60% < 1° 3
MHz 0.3
MHz |
The geometrical structure of AGATA is
based on the geodesic tiling of a sphere with 12 regular pentagons and 180
hexagons. Owing to the symmetries of this specific bucky-ball construction
three slightly different irregular hexagons are needed. To minimise
inter-detector space while still preserving modularity, three hexagonal
crystals (one of each type) are arranged in one cryostat. The pentagonal
detectors are individually canned. Each Ge crystal is encapsulated and
electronically divided into 36 segments. The inner radius of the array is 17
cm. The total solid angle covered by Ge material is close to 80% and the photo
peak efficiency is as high as 50% for individual 1 MeV g
rays.

Fig 1. Artist’s
view of AGATA. The three slightly different hexagonal crystal shapes are shown
in red, green and blue. Three crystals are packed in a cryostat, as indicated
by the grey aluminium walls. The total number of such triple cluster detectors
is 60. The pentagonal detectors are shown in light blue colour.
The
total number of segments in the array is 6780. Together with pulse shape
analysis, this provides unprecedented position sensitivity. Realistic
simulations of the tracking performance indicate efficiencies of 50% for
individual transitions and 25% for a cascade of 30 g rays at 1 MeV. A key
feature of AGATA is the high precision for determining the emission direction
of the detected g
quanta of <1° (corresponding to an effective granularity of >5·104!). This ensures an energy resolution better than 0.5%
for transitions emitted by nuclei recoiling at velocities as high as 50% of the
speed of light. This value is only a factor of two bigger than the intrinsic
resolution of Ge detectors and is comparable with the values currently observed
at 10 times smaller recoil velocity. Fig.2 demonstrates the large gain in
sensitivity and selectivity obtained by AGATA.

Fig. 2
Simulated g-ray
spectra comparing the response of AGATA (top) with that of a conventional
Ge-array (bottom) assuming a fragmentation reaction at 100 MeV/A. The enormous
gain in resolving power is obvious.
Fig. 3 shows an AGATA detector module. Each cryostat
contains three 36-fold segmented Ge detectors of hexagonal, tapered shape (8 cm
diameter before shaping, 10 cm length). The individual Ge crystals are
encapsulated in a very thin Aluminium can – a new technology, developed in the
framework of the Euroball and Miniball projects, which significantly improves
the reliability of the detectors. The 111 preamplifiers consist of a cold part
including the FET’s mounted inside the cryostat and a warm part behind the Ge
detectors. Highly integrated digital pulse processing electronics are mounted
in a second layer behind the preamplifiers. The data are transferred via a
fibre-optic channel for further analysis. A central support frame is situated
between the preamplifier and the pulse processing-section. The Ge detectors are
cooled with liquid nitrogen contained in conical dewars.

Fig. 3 The AGATA Detector
Module consisting of (1) three 36-fold segmented Ge detectors, (2) 111
preamplifiers, (3) a frame support, (4) possible position of digital pulse
processing electronics, (5) fiber-optics read-out and (6) a LN2 dewar.
The target position (7) is indicated.
The
AGATA electronics will work on the principle of sampling the preamplifier
signals with fast ADCs to preserve the full signal-shape information. Digital
processing will be used to extract energy, timing and spatial information on
the position of the interaction points from the sampled data by pulse-shape
analysis. It is planned to house part of the processing electronics directly at
the detectors. The data will be transferred by high bandwidth fiber links from
the experimental area to the data acquisition equipment.
In the AGATA Data Acquisition system the
data will be time-stamped and the software triggering will be implemented. The
software triggering is very flexible, for instance it collects infrequent
events efficiently and will allow the construction of delayed coincidences
without dead-time problems. The Event Builder will receive the data packets in
parallel from the front-end detector electronics. It will perform all necessary
functions of time-ordering, data-merging and gain-matching. User-defined data
selection criteria will be applied to reduce the data volume by eliminating
unwanted background events. Finally, formatted events will be written to the
recording medium with a data rate up to 80 Mbyte/s. Data processing will
involve several stages of pipelining and parallelism.
Tracking requires powerful computer algorithms that take into account the physical characteristics of the g-ray interactions in the detector. The development of such algorithms mainly follows two successful lines. In the so-called “clusterisation” method a preliminary identification of interaction-point clusters is followed by a comparison of all possible scattering angles within a cluster against the Compton scattering formula. The second approach starts from those points likely to be the last interaction and goes back, step by step, to the origin of the incident g ray. This "backtracking" method allows, in principle, to disentangle the interaction points of two g rays which enter the detector very close to one another. Furthermore, long-range scattering such as backscattering across the target region may also be recovered. The optimal tracking algorithm may be a combination of cluster recognition and backtracking both including features such as pair production and neutron rejection. For a simulated test case these tracking algorithms achieve a reconstruction efficiency of up to about 60%, depending on the assumed accuracy of the interaction positions in the detector system.
[Del99]
M.A. Deleplanque et al., Nucl. Instr. Meth. A430 (1999) 292
[Ebe97]
J. Eberth et al., Prog.Part.Nucl.Phys. Vol. 38 (1997) 29
[Ger98]
J. Gerl et al., VEGA-Proposal, GSI report (1998)
[Jon98]
M. de Jong, Nucl.Phys. A628 (1998) 479
[Kro00]
Th. Kröll et al., Proceedings Bologna 2000, World Scientific (2001)
[Lie01] R.M. Lieder et al., Nucl. Phys. A682 (2001)
279c
[Pod00] Zs. Podolyák et al., Phys. Lett. B491
(2000) 225
[Sim97]
J. Simpson, Z.Phys. A358 (1997) 139
[Sim00]
J. Simpson et al., APH N.S. Heavy Ion Physics 11 (2000) 159