A possible solution for dinamically managing virtual environments

In modern distributed computer systems (clusters and computing GRIDs) a new class of problems, due to the increasing heterogeneity of users’ needs, have to be tackled by the administrators. One possible solution is to create ondemand virtual working environments tailored on the user’s requirements. Hence the need for an architecture to manage dynamically such environments. In this work we propose a possible solution based on the use of Virtual Machines (Xen), the implementation of a Virtual Machine Manager, capable of creation, destruction and migration of the virtualized working environments. The information will be collected using a client-server mechanism, to allow the manager to deploy preconfigured Virtual Machines on the available hardware resources. When a new execution environment became active, it is automatically recognized by the Batch System Manager and is then ready to be used

Development of a tool to optimize the performance of a Maui Cluster Scheduler

The use of Linux cluster computing in a scientific and heterogeneous environment has been growing very fast in the past years. The often conflicting user’s requests of shared resources are quite difficult to satisfy for the administrators, and, usually, lower the overall system efficiency. In this scenario a new tool to study and optimize the Maui Cluster Scheduler has been developed together with a new set of metrics to evaluate any given configuration. The main idea is to use the Maui internal simulator, fed by workloads produced either by a real cluster than by an ad hoc one, to test several scheduler configurations and then, using a genetic algorithm, to choose the best solution. In this work the architecture of the proposed tool is described together with the first results

Full Geant4 and FLUKA Simulations of an e-LINAC for its Use in Particle Detectors Performance Tests

In this work we present the results of full Geant4 and FLUKA simulations and comparison with dosimetry data of an electron LINAC of St. Maria Hospital located in Terni, Italy. The facility is being used primarily for radiotherapy and the goal of present study is the detailed investigation of electron beam parameters to evaluate the possibility to use the e-LINAC (during time slots when it is not used for radiotherapy) to test the performance of detector systems in particular those designed to operate in space. The critical beam parameters are electron energy, profile and flux available at the surface of device to be tested. The present work aims to extract these parameters from dosimetry calibration data available at the e-LINAC. The electron energy ranges is from 4 MeV to 20 MeV. The dose measurements have been performed by using an Advanced Markus Chamber which has a small sensitive volume.Comment: 10 pages, 10 figures, 2 table

Energy loss measurement for charged particles in very thin silicon layers

The energy loss distribution f(D) of highly relativistic charged particles has been measured for thin silicon layers with thickness ranging from 5.6 to 120 mm. In this work, using an innovative method, the dependence of the energy loss distribution from the thickness of the silicon absorber has been investigated in great detail with reference to CMOS Active Pixel Sensors. The measured energy loss distributions are well-reproduced by calculations also when the target electrons binding energy is taken into account. Finally the results obtained with this method are compared with existing experimental results and theoretical data

Architecture and First Characterization of the Microstrip Silicon Detector Data Acquisition of the FOOT experiment

Oncological hadrontherapy is a novel technique for cancer treatment that improves over conventional radiotherapy by having higher effectiveness and spatial selectivity. The FOOT (FragmentatiOn Of Target) experiment studies the nuclear fragmentation caused by the interactions of charged particle beams with patient tissues in Charged Particle Therapy. Among the several FOOT detectors, the silicon Microstrip Detector is part of the charged-ions-tracking magnetic spectrometer. The detector consists of three x-y planes of two silicon microstrip detectors arranged orthogonally between each other to enable tracking capabilities. Ten analog buffer chips and fi ve ADCs read out each detector. A Field-Programmable Gate Array collects the output of the ADCs of an x-y plane, possibly processes the data, and forms a packet to be sent to the experiment central data acquisition. This data acquisition system shall withstand the trigger rate and detector’s throughput at any time. In this work, we discuss the architecture of the data acquisition system—in particular of the silicon microstrip detector one—and the fi rst results obtained from the x-y plane’s prototype

On the use of highly pixellated CMOS imagers to measure therapeutic beam profile

The characterization of high-intensity charged-particle and photon beams at medical accelerators is often a time-consuming task. In this work, we discuss the possibility to use highly segmented CMOS imagers as a way to measure the fluxes with high spatial precision and in a short time. Quite recently CMOS imagers, designed to collect visible light, have been used to detect ionizing radiation, either charged particles (electron, proton) or photons. These devices, due to the very low single pixel noise, have a very high detection efficiency, once the interaction between radiation and silicon has taken place, and act primarily as counting detectors. We will show how it is possible to extract a precise beam shape using as a test case a therapeutic electron beam delivered by an Elekta e-LINAC at the S. Maria Hospital in Terni (Italy), and as sensors commercial off-the-shelf (COTS) CMOS imagers