A5042350445- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Radiation Detection and Scintillator Technologies
- Distributed and Parallel Computing Systems
- CCD and CMOS Imaging Sensors
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Big Data Technologies and Applications
- Black Holes and Theoretical Physics
- Advanced Data Storage Technologies
- Atomic and Subatomic Physics Research
- Particle Accelerators and Free-Electron Lasers
- Radiation Effects in Electronics
- Nuclear reactor physics and engineering
- Advanced X-ray and CT Imaging
- Generative Adversarial Networks and Image Synthesis
- Superconducting Materials and Applications
- Gaussian Processes and Bayesian Inference
- Structural Analysis of Composite Materials
University of Genoa
2023-2025
Istituto Nazionale di Fisica Nucleare, Sezione di Genova
2023-2025
Nasarawa State University
2025
Istituto Nazionale di Fisica Nucleare, Sezione di Roma I
2020-2024
Sapienza University of Rome
2020-2024
SR Research (Canada)
2024
Atlas Scientific (United States)
2024
Federación Española de Enfermedades Raras
2024
A. Alikhanyan National Laboratory
2024
University of Geneva
2016-2023
First-principle simulations are at the heart of high-energy physics research program. They link vast data output multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range applications modern machine learning to event generation simulation-based inference, including conceptional developments driven by specific requirements particle physics. New ideas tools developed interface will improve speed precision forward simulations, handle...
HV-CMOS pixel sensors are a promising option for the tracker upgrade of ATLAS experiment at LHC, as well other future tracking applications in which large areas to be instrumented with radiation-tolerant silicon sensors. We present results testbeam characterisations $4^{\mathrm{th}}$ generation Capacitively Coupled Pixel Detectors (CCPDv4) produced ams H18 process that have been irradiated different particles (reactor neutrons and 18 MeV protons) fluences between $1\cdot 10^{14}$ $5\cdot...
Abstract In High Energy Physics experiments Particle Flow (PFlow) algorithms are designed to provide an optimal reconstruction of the nature and kinematic properties particles produced within detector acceptance during collisions. At heart PFlow is ability distinguish calorimeter energy deposits neutral from those charged particles, using complementary measurements particle tracking devices, a superior measurement content kinematics. this paper, computer vision approach fundamental aspect...
Abstract The task of reconstructing particles from low-level detector response data to predict the set final state in collision events represents a set-to-set prediction requiring use multiple features and their correlations input data. We deploy three separate neural network architectures reconstruct containing single jet fully-simulated calorimeter. Performance is evaluated terms particle reconstruction quality, properties regression, jet-level metrics. results demonstrate that such...
This study investigated the potential of incorporating toasted African bush pear, acha, and grasshopper as nutritious sustainable ingredients in biscuit production. The Bush Pear flour grass hopper were mixed ratio 100:0:0, 91:5:4, 86:10:4, 81:15:4, 87:5:8, 83:5:8, 83:5:12, 79:5:16, respectively, to produce blend biscuits. biscuits analysed for nutrient composition, functional sensory properties using standard methods. swelling water absorption capacity increased from 3.11 4.02 2.05...
A testbeam telescope, based on ATLAS IBL silicon pixel modules, has been built. It comprises six planes of planar sensors with 250 × 50 μ m2 pitch, read out by FE-I4 chips. In the CERN SPS H8 beamline (180 GeV π+) a resolution better than 8 12 μm2 at position device under test was achieved. The telescope reached trigger rate 6 kHz two measured devices. is mainly designed for studies using prototypes, but also successfully run independent DAQ systems. Specialised schemes ensure data...
First-principle simulations are at the heart of high-energy physics research program. They link vast data output multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range applications modern machine learning to event generation simulation-based inference, including conceptional developments driven by specific requirements particle physics. New ideas tools developed interface will improve speed precision forward simulations, handle...
Abstract Multidimensional efficiency maps are commonly used in high-energy physics experiments to mitigate the limitations generation of large samples simulated events. Binned however strongly limited by statistics. We propose a neural network approach learn ratios local densities estimate an optimal fashion efficiencies as function set parameters. Graph techniques account for high dimensional correlations between different objects event. show specific toy model how this method is applicable...
Abstract A configurable calorimeter simulation for AI (CoCoA) applications is presented, based on the Geant4 toolkit and interfaced with Pythia event generator. This open-source project aimed to support development of machine learning algorithms in high energy physics that rely realistic particle shower descriptions, such as reconstruction, fast simulation, low-level analysis. Specifications granularity material its nearly hermetic geometry are user-configurable. The tool supplemented simple...
Abstract The simulation of particle physics data is a fundamental but computationally intensive ingredient for analysis at the large Hadron collider, where observational set-valued generated conditional on set incoming particles. To accelerate this task, we present novel generative model based graph neural network and slot-attention components, which exceeds performance pre-existing baselines.
Active pixel sensors based on the High-Voltage CMOS technology are being investigated as a viable option for future tracker of ATLAS experiment at High-Luminosity LHC. This paper reports testbeam measurements performed H8 beamline CERN Super Proton Synchrotron sensor prototype produced in 180 nm AMS technology. Results terms tracking efficiency and timing performance, different threshold bias conditions, shown.
A monolithic pixelated silicon detector designed for high time resolution has been produced in the SG13G2 130 nm SiGe BiCMOS technology of IHP. This proof-of-concept chip contains hexagonal pixels 65 μm and side. The front-end electronics implemented provides an equivalent noise charge 90 160 e− a pixel capacitance 70 220 fF, respectively, total walk less than 1 ns. Lab measurements with 90Sr source show order 50 ps. result is competitive technologies that integrate avalanche gain mechanism.
High Voltage CMOS sensors are a promising technology for tracking detectors in collider experiments. Extensive R&D studies being carried out by the ATLAS Collaboration possible use of HV-CMOS Luminosity LHC upgrade Inner Tracker detector. CaRIBOu (Control and Readout Itk BOard) is modular test system developed to Silicon based detectors. It currently includes five custom designed boards, Xilinx ZC706 development board, FELIX (Front-End LInk eXchange) PCIe card host computer. A software...
An upgrade of the ATLAS experiment for High Luminosity phase LHC is planned 2024 and foresees replacement present Inner Detector (ID) with a new Tracker (ITk) completely made silicon devices. Depleted active pixel sensors built Voltage CMOS (HV-CMOS) technology are investigated as an option to cover large areas in outermost layers detector especially interesting development monolithic devices which will reduce production costs material budget respect hybrid assemblies. For this purpose...
This paper reports on the characterisation with Transient Current Technique measurements of charge collection and depletion depth a radiation-hard high-voltage CMOS pixel sensor produced at ams AG. Several substrate resistivities were tested before after proton irradiation two different sources: 24 GeV Proton Synchrotron CERN 16.7 MeV Cyclotron Bern Inselspital.
The simulation of particle physics data is a fundamental but computationally intensive ingredient for analysis at the Large Hadron Collider, where observational set-valued generated conditional on set incoming particles. To accelerate this task, we present novel generative model based graph neural network and slot-attention components, which exceeds performance pre-existing baselines.
In the context of studies ATLAS High Luminosity LHC programme, radiation tolerant pixel detectors in CMOS technologies are investigated. To evaluate effects substrate resistivity on sensor performance, H35DEMO demonstrator, containing different diode and amplifier designs, was produced ams H35 HV-CMOS technology using four resistivities spanning from 80-1000 ohm cm-1. A glueing process a high-precision flip-chip machine developed order to capacitively couple sensors FE-I4 Readout ASIC thin...
Multidimensional efficiency maps are commonly used in high energy physics experiments to mitigate the limitations generation of large samples simulated events. Binned multidimensional however strongly limited by statistics. We propose a neural network approach learn ratios local densities estimate an optimal fashion efficiencies as function set parameters. Graph techniques account for dimensional correlations between different objects event. show specific toy model how this method is...
Abstract Experimental particle physics demands a sophisticated trigger and acquisition system capable to efficiently retain the collisions of interest for further investigation. Heterogeneous computing with employment FPGA cards may emerge as trending technology triggering strategy upcoming high-luminosity program Large Hadron Collider at CERN In this context, we present two machine-learning algorithms selecting events where neutral long-lived particles decay within detector volume studying...
The LHC luminosity upgrade, known as the High Luminosity (HL-LHC), will require replacement of existing silicon strip tracker and transistion radiation tracker. Although a baseline design for this exists ATLAS collaboration other non-ATLAS groups are exploring feasibility using CMOS Monolithic Active Pixel Sensors (MAPS) which would be arranged in strip-like fashion take advantage service support structure already being developed upgrade. Two test devices made with AMS H35 process (a voltage...