E. Rantucci

Università degli Studi dell'Aquila, Aquila, Abruzzo, Italy

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Publications (9)6.72 Total impact

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    ABSTRACT: The ALTEA program is an international and multi-disciplinary project aimed at studying particle radiation in space environment and its effects on astronauts’ brain functions, as the anomalous perception of light flashes first reported during Apollo missions.The ALTEA space facility includes a 6-silicon telescopes particle detector, and is onboard the International Space Station (ISS) since July 2006.In this paper, the detector calibration at the heavy-ion synchrotron SIS18 at GSI Darmstadt will be presented and compared to the Geant 3 Monte Carlo simulation. Finally, the results of a neural network analysis that was used for ion discrimination on fragmentation data will also be presented.
    Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 01/2008; 266(9):2070-2078. · 1.19 Impact Factor
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    ABSTRACT: Some effects of extremely low frequency electromagnetic fields (ELF-EMFs) on human spermatozoa are reported. Significant increases in the values of the motility and of the other kinematic parameters have been observed when spermatozoa were exposed to an ELF-EMF with a square waveform of 5 mT amplitude and frequency of 50 Hz. By contrast, a 5 mT sine wave (50 Hz) and a 2.5 mT square wave (50 Hz) exposure did not produce any significant effect on sperm motility. The effects induced by ELF-EMF (50 Hz; 5 mT) during the first 3 h of exposure persisted for 21 h after the end of the treatment. These results indicate that ELF-EMF exposure can improve spermatozoa motility and that this effect depends on the field characteristics.
    Bioelectromagnetics 02/2007; 28(1):72-5. · 2.02 Impact Factor
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    ABSTRACT: The ALTEA project, an international and multi-disciplinary collaboration scheduled to fly in the International Space Station (ISS) after July 2006, is aimed at studying particle radiation in space environment and its effects on astronauts, in particular the anomalous perception of ‘light flashes’. In this paper, we present experimental results obtained by testing the Flight Model of the ALTEA particle detector in two measurement sessions performed at the heavy ion accelerator of GSI laboratory in Darmstadt, Germany. Instrument response was compared with Monte-carlo simulations to study its linearity and calculate amplification.
    Advances in Space Research. 01/2006;
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    ABSTRACT: The ALTEA (Anomalous Long Term Effects in Astronauts) project is aimed at the study of the transient and long term effects of cosmic particles on the astronauts’ cerebral functions. The detector will fly on the International Space Station in 2005. Due to the complexity of the detector (12 double silicon detector boxes arranged around the head of the astronaut) it is necessary to have a detailed simulation of the apparatus response to cosmic ray nuclei in order to assess the detector response and its observational capabilities. The ALTEA detector was therefore simulated by using the Geant 3.21 program, by the astronauts’ head described by 64 cubes of water. By using Creme96 program to evaluate the cosmic rays fluxes within the International Space Station we obtained the events distribution and the energy lost in the cubes of water, as well as the expected interaction rates. Furthermore, we calculated the triggered events number per unit of time in the detector. The simulation was also used to develop a technique to recognize the cosmic rays nuclei.
    Advances in Space Research 01/2006; · 1.18 Impact Factor
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    ABSTRACT: In this work, we present the data analysis of the Sileye-3/Alteino experiment with neural network technique. Sileye-3/Alteino is composed of two devices: the cosmic ray-advanced silicon telescope (an 8 plane, 32 strip silicon detector) and an electroencephalograph. It was placed on board the ISS on April the 27th 2002 to investigate on the Light Flash phenomenon and the radiation environment in space. We show the possibility of using neural networks as an useful tool for real-time data analysis. A feed-forward neural network (Multi-Layer Perceptron – MLP) has been implemented and trained (with Monte Carlo data) to perform on line particle identification for ions with Atomic Number (Z) ⩽8 and incident kinetic energy reconstruction for ions Z > 2. The result of the analysis of Sileye-3/Alteino real data with the neural network and the improvements over classical analysis techniques are discussed.
    Advances in Space Research 01/2006; · 1.18 Impact Factor
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    ABSTRACT: On-line particle identification is one of the main goals of many experiments in space both for rare event studies and for optimizing measurements along the orbital trajectory. Neural networks can be a useful tool for signal processing and real time data analysis in such experiments. In this document we report on the performances of a programmable neural device which was developed in VLSI analog/digital technology. Neurons and synapses were accomplished by making use of Operational Transconductance Amplifier (OTA) structures. In this paper we report on the results of measurements performed in order to verify the agreement of the characteristic curves of each elementary cell with simulations and on the device performances obtained by implementing simple neural structures on the VLSI chip. A feed-forward neural network (Multi-Layer Perceptron, MLP) was implemented on the VLSI chip and trained to identify particles by processing the signals of two-dimensional position-sensitive Si detectors. The radiation monitoring device consisted of three double-sided silicon strip detectors. From the analysis of a set of simulated data it was found that the MLP implemented on the neural device gave results comparable with those obtained with the standard method of analysis confirming that the implemented neural network could be employed for real time particle identification.
    Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 01/2004; · 1.14 Impact Factor
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    ABSTRACT: The Altea project is aimed at the study of the transient and long term effects of cosmic particles on the astronauts' cerebral functions. The detector will fly on the International Space Station in 2005. Due to the complexity of the detector (12 double silicon detector boxes arranged around the head of the astronaut) it is necessary to have a detailed simulation of the apparatus response to cosmic ray nuclei in order to assess the detector response and its observational capabilities. The Altea detector was therefore simulated using the Geant 3.21 program, with the astronauts' head described with 64 cubes of water. Using Creme96 program to evaluate the cosmic rays fluxes within the ISS we obtained the events distribution and the energy lost in the cubes of water, as well as the expected interaction rates. Furthermore we calculated the trigger events number per unit of time in the detector. The simulation was also used to develop a technique to recognize the cosmic rays nuclei.
    01/2004;
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    ABSTRACT: In this work we present the data analysis of the SilEye-3/Alteino experiment with Neural Network technique. SilEye-3/Alteino is composed of two devices: the cosmic ray advanced silicon telescope (an 8 plane, 32 strip silicon detector) and an electroencephalograph. It was placed on board the ISS on April the 27th 2002 to investigate on the Light Flash phenomenon and the radiation environment in space. We show the possibility of using Neural Networks as an useful tool for real time data analysis. A feed-forward neural network (Multi-Layer Perceptron - MLP -) has been implemented and trained (with Monte Carlo data) to perform on line particle identification for ions with Atomic Number (Z) 2. The result of the analysis of SilEye-3/Alteino real data with the Neural Network and the improvements over classical analysis techniques are discussed.
    01/2004;
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    ABSTRACT: The experiment Sileye-3/Alteino is constituted by a cosmic-ray silicon detector and an electroencephalograph. The main scientific aims include the investigation of the Light Flash phenomenon, the study of astronaut brain activity in space when subject to cosmic rays, the measurement of cosmic rays and the radiation environment inside the International Space Station. The experiment was operating on board the station from 27 April to 5 May 2002. The cosmic-ray detector is composed of eight silicon strip planes triggered by two scintillators placed on top and bottom of the stack. The detector is capable of identifying nuclei from B to As in the energy range above ≃60 MeV/n. Also protons and lighter particles are registered although with a reduced efficiency. The instrument was active in the Pirs module of the station for 130 h. In this work, we describe the silicon strip detector characteristics and its calibration performed using cosmic-ray nuclei.
    Advances in Space Research.