132 research outputs found
Trends in Pixel Detectors: Tracking and Imaging
For large scale applications, hybrid pixel detectors, in which sensor and
read-out IC are separate entities, constitute the state of the art in pixel
detector technology to date. They have been developed and start to be used as
tracking detectors and also imaging devices in radiography, autoradiography,
protein crystallography and in X-ray astronomy. A number of trends and
possibilities for future applications in these fields with improved
performance, less material, high read-out speed, large radiation tolerance, and
potential off-the-shelf availability have appeared and are momentarily matured.
Among them are monolithic or semi-monolithic approaches which do not require
complicated hybridization but come as single sensor/IC entities. Most of these
are presently still in the development phase waiting to be used as detectors in
experiments. The present state in pixel detector development including hybrid
and (semi-)monolithic pixel techniques and their suitability for particle
detection and for imaging, is reviewed.Comment: 10 pages, 15 figures, Invited Review given at IEEE2003, Portland,
Oct, 200
Pixel Detectors
Pixel detectors for precise particle tracking in high energy physics have
been developed to a level of maturity during the past decade. Three of the LHC
detectors will use vertex detectors close to the interaction point based on the
hybrid pixel technology which can be considered the state of the art in this
field of instrumentation. A development period of almost 10 years has resulted
in pixel detector modules which can stand the extreme rate and timing
requirements as well as the very harsh radiation environment at the LHC without
severe compromises in performance. From these developments a number of
different applications have spun off, most notably for biomedical imaging.
Beyond hybrid pixels, a number of monolithic or semi-monolithic developments,
which do not require complicated hybridization but come as single sensor/IC
entities, have appeared and are currently developed to greater maturity. Most
advanced in terms of maturity are so called CMOS active pixels and DEPFET
pixels. The present state in the construction of the hybrid pixel detectors for
the LHC experiments together with some hybrid pixel detector spin-off is
reviewed. In addition, new developments in monolithic or semi-monolithic pixel
devices are summarized.Comment: 14 pages, 38 drawings/photographs in 21 figure
A review of advances in pixel detectors for experiments with high rate and radiation
The Large Hadron Collider (LHC) experiments ATLAS and CMS have established
hybrid pixel detectors as the instrument of choice for particle tracking and
vertexing in high rate and radiation environments, as they operate close to the
LHC interaction points. With the High Luminosity-LHC upgrade now in sight, for
which the tracking detectors will be completely replaced, new generations of
pixel detectors are being devised. They have to address enormous challenges in
terms of data throughput and radiation levels, ionizing and non-ionizing, that
harm the sensing and readout parts of pixel detectors alike. Advances in
microelectronics and microprocessing technologies now enable large scale
detector designs with unprecedented performance in measurement precision (space
and time), radiation hard sensors and readout chips, hybridization techniques,
lightweight supports, and fully monolithic approaches to meet these challenges.
This paper reviews the world-wide effort on these developments.Comment: 84 pages with 46 figures. Review article.For submission to Rep. Prog.
Phy
A method for precise charge reconstruction with pixel detectors using binary hit information
A method is presented to precisely reconstruct charge spectra with pixel
detectors using binary hit information of individual pixels. The method is
independent of the charge information provided by the readout circuitry and has
a resolution mainly limited by the electronic noise. It relies on the ability
to change the detection threshold in small steps while counting hits from a
particle source. The errors are addressed and the performance of the method is
shown based on measurements with the ATLAS pixel chip FE-I4 bump bonded to a
230 {\mu}m 3D-silicon sensor. Charge spectra from radioactive sources and from
electron beams are presented serving as examples. It is demonstrated that a
charge resolution ({\sigma}<200 e) close to the electronic noise of the ATLAS
FE-I4 pixel chip can be achieved
Innovating Advanced Radiation Instruments
STREAM is a 4-year multi-site training network that aims at career development of Early Stage Researchers (ESRs) on scientific design, construction manufacturing and of advanced radiation instrumentation. STREAM targets the development of innovative radiation-hard, smart CMOS sensor technologies for scientific and industrial applications. The platform technology developed within the project will be tested in the demanding conditions posed by the CERN LHC detectors' environment as well as European industry leaders in the field of CMOS imaging, electron microscopy and radiation sensors. This leveraging factor will allow to fine-tune the technology to meet the requirements of industrial application cases on demand such as electron microscopy and medical X-ray imaging, as well as pathway towards novel application fields such as satellite environments, industrial X-ray systems and near-infrared imaging. The project will train a new generation of creative, entrepreneurial and innovative early-stage researchers and widen their academic career and employment opportunities. The STREAM consortium is composed of 10 research organisations and 5 industrial partners; the network will provide training to 17 ESRs. STREAM structures the research and training in four scientific work-packages which span the whole value-chain from research to application: CMOS Technologies Assessment, Smart Sensor Design and Layout, Validation and Qualification, Technology Integration, and Valorization
Neutron irradiation test of depleted CMOS pixel detector prototypes
Charge collection properties of depleted CMOS pixel detector prototypes
produced on p-type substrate of 2 kcm initial resistivity (by LFoundry
150 nm process) were studied using Edge-TCT method before and after neutron
irradiation. The test structures were produced for investigation of CMOS
technology in tracking detectors for experiments at HL-LHC upgrade.
Measurements were made with passive detector structures in which current pulses
induced on charge collecting electrodes could be directly observed. Thickness
of depleted layer was estimated and studied as function of neutron irradiation
fluence. An increase of depletion thickness was observed after first two
irradiation steps to 110 n/cm and 510
n/cm and attributed to initial acceptor removal. At higher fluences the
depletion thickness at given voltage decreases with increasing fluence because
of radiation induced defects contributing to the effective space charge
concentration. The behaviour is consistent with that of high resistivity
silicon used for standard particle detectors. The measured thickness of the
depleted layer after irradiation with 110 n/cm is more than
50 m at 100 V bias. This is sufficient to guarantee satisfactory
signal/noise performance on outer layers of pixel trackers in HL-LHC
experiments
Prototype Active Silicon Sensor in 150 nm HR-CMOS Technology for ATLAS Inner Detector Upgrade
The LHC Phase-II upgrade will lead to a significant increase in luminosity,
which in turn will bring new challenges for the operation of inner tracking
detectors. A possible solution is to use active silicon sensors, taking
advantage of commercial CMOS technologies. Currently ATLAS R&D programme is
qualifying a few commercial technologies in terms of suitability for this task.
In this paper a prototype designed in one of them (LFoundry 150 nm process)
will be discussed. The chip architecture will be described, including different
pixel types incorporated into the design, followed by simulation and
measurement results.Comment: 9 pages, 9 figures, TWEPP 2015 Conference, submitted to JINS
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