2,437 research outputs found
Performance of Irradiated Thin Edgeless N-on-P Planar Pixel Sensors for ATLAS Upgrades
In view of the LHC upgrade phases towards the High Luminosity LHC (HL-LHC),
the ATLAS experiment plans to upgrade the Inner Detector with an all-silicon
system. Because of its radiation hardness and cost effectiveness, the n-on-p
silicon technology is a promising candidate for a large area pixel detector.
The paper reports on the joint development, by LPNHE and FBK of novel n-on-p
edgeless planar pixel sensors, making use of the active trench concept for the
reduction of the dead area at the periphery of the device. After discussing the
sensor technology, a complete overview of the electrical characterization of
several irradiated samples will be discussed. Some comments about detector
modules being assembled will be made and eventually some plans will be
outlined.Comment: 6 pages, 13 figures, to appear in the proceedings of the 2013 Nuclear
Science Symposium and Medical Imaging Conference. arXiv admin note: text
overlap with arXiv:1311.162
Electrical Characterization of a Thin Edgeless N-on-p Planar Pixel Sensors For ATLAS Upgrades
In view of the LHC upgrade phases towards the High Luminosity LHC (HL-LHC),
the ATLAS experiment plans to upgrade the Inner Detector with an all-silicon
system. Because of its radiation hardness and cost effectiveness, the n-on-p
silicon technology is a promising candidate for a large area pixel detector.
The paper reports on the joint development, by LPNHE and FBK of novel n-on-p
edgeless planar pixel sensors, making use of the active trench concept for the
reduction of the dead area at the periphery of the device. After discussing the
sensor technology, and presenting some sensors' simulation results, a complete
overview of the electrical characterization of the produced devices will be
given.Comment: 9 pages, 9 figures, to appear in the proceedings of the 15th
International Workshops on Radiation Imaging Detector
Development of Edgeless n-on-p Planar Pixel Sensors for future ATLAS Upgrades
The development of n-on-p "edgeless" planar pixel sensors being fabricated at
FBK (Trento, Italy), aimed at the upgrade of the ATLAS Inner Detector for the
High Luminosity phase of the Large Hadron Collider (HL-LHC), is reported. A
characterizing feature of the devices is the reduced dead area at the edge,
achieved by adopting the "active edge" technology, based on a deep etched
trench, suitably doped to make an ohmic contact to the substrate. The project
is presented, along with the active edge process, the sensor design for this
first n-on-p production and a selection of simulation results, including the
expected charge collection efficiency after radiation fluence of comparable to those expected at HL-LHC (about
ten years of running, with an integrated luminosity of 3000 fb) for the
outer pixel layers. We show that, after irradiation and at a bias voltage of
500 V, more than 50% of the signal should be collected in the edge region; this
confirms the validity of the active edge approach.Comment: 20 pages, 9 figures, submitted to Nucl. Instr. and Meth.
Novel Silicon n-on-p Edgeless Planar Pixel Sensors for the ATLAS upgrade
In view of the LHC upgrade phases towards HL-LHC, the ATLAS experiment plans
to upgrade the Inner Detector with an all-silicon system. The n-on-p silicon
technology is a promising candidate for the pixel upgrade thanks to its
radiation hardness and cost effectiveness, that allow for enlarging the area
instrumented with pixel detectors. We report on the development of novel n-in-p
edgeless planar pixel sensors fabricated at FBK (Trento, Italy), making use of
the "active edge" concept for the reduction of the dead area at the periphery
of the device. After discussing the sensor technology and fabrication process,
we present device simulations (pre- and post-irradiation) performed for
different sensor configurations. First preliminary results obtained with the
test-structures of the production are shown.Comment: 6 pages, 5 figures, to appear in the proceedings of the 9th
International Conference on Radiation Effects on Semiconductor Materials
Detectors and Device
Convergence of nonlocal threshold dynamics approximations to front propagation
In this note we prove that appropriately scaled threshold dynamics-type
algorithms corresponding to the fractional Laplacian of order converge to moving fronts. When the resulting interface
moves by weighted mean curvature, while for the normal velocity is
nonlocal of ``fractional-type.'' The results easily extend to general nonlocal
anisotropic threshold dynamics schemes.Comment: 19 page
Experimental Realization of Optimal Noise Estimation for a General Pauli Channel
We present the experimental realization of the optimal estimation protocol
for a Pauli noisy channel. The method is based on the generation of 2-qubit
Bell states and the introduction of quantum noise in a controlled way on one of
the state subsystems. The efficiency of the optimal estimation, achieved by a
Bell measurement, is shown to outperform quantum process tomography
On the number of limit cycles of the Lienard equation
In this paper, we study a Lienard system of the form dot{x}=y-F(x),
dot{y}=-x, where F(x) is an odd polynomial. We introduce a method that gives a
sequence of algebraic approximations to the equation of each limit cycle of the
system. This sequence seems to converge to the exact equation of each limit
cycle. We obtain also a sequence of polynomials R_n(x) whose roots of odd
multiplicity are related to the number and location of the limit cycles of the
system.Comment: 10 pages, 5 figures. Submitted to Physical Review
Managerial decisions to recover from Covid-19 disruption: A multi-objective optimization approach applied to public transport operators
The resilience of transport systems, facing natural or man-made disruptions, has been widely discussed in literature in terms of recovery capabilities concerning infrastructures, suggesting solutions to provide users an acceptable level of service along the interrupted network. However, in the context of the Covid-19 outbreak, the disruption has stressed the resilience of transport systems not on the supply side but rather at organizational level for transport service providers. Indeed, the sudden and drastic decrease in users due to the restrictions imposed by governments to limit the pandemic spread has implicated severe economic consequences in the running of transport companies. In this paper, attention has been focused on the public transport sector to analyse the effects of different initiatives, which companies could undertake in response to the demand shock caused by the Covid-19 emergency. Notably, an optimization procedure has been developed with the aim of determining feasible Pareto-front solutions, which correspond to trade-off conditions for the concurrent maximization of the company profit and the minimization of outsourcing services. The time span necessary to implement the examined recovery measures has been considered together with the limitation to appropriate threshold values for the main cost and income items influencing the company operations management. The proposed approach has been applied to the case study of an Italian public transport company to appraise different post-Covid-19 resilience strategies
Survey of detection techniques, mathematical models and simulation software in pedestrian dynamics
The study of pedestrian dynamics has become in the latest years an increasing field of research. A relevant number of technicians
have been looking for improving technologies able to detect walking people in various conditions. Several researchers have
dedicated their works to model walking dynamics and general laws. Many studiers have developed interesting software to simulate
pedestrian behavior in all sorts of situations and environments. Nevertheless, till nowadays, no research has been carried out to
analyze all the three over-mentioned aspects. The remarked lack in literature of a complete research, pointing out the fundamental
features of pedestrian detection techniques, pedestrian modelling and simulation and their tight relationships, motivates the draft
of this paper.
Aim of the paper is, first, to provide a schematic summary of each topic. Secondly, a more detailed description of the subjects is
displayed, pointing out the advantages and disadvantages of each detection technology, the working logic of each model, outlining
the inputs and the provided outputs, and the main features of the simulation software. Finally, the obtained results are summarized
and discussed, in order to outline the correlation among the three explained themes
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