Vai al contenuto

  • Unipd
  • Uniweb
  • Departments
  • Schools
  • Webmail
  • Contacts

Università degli Studi di Padova

Logo

Department of Physics and Astronomy
"Galileo Galilei"

  • SCEGLI IL
    TUO PROFILO
  • CERCA
  • Menu
  • ITA
CHIUDI
  • Department

    • Salta al menu-{field:uid}
    • Presentation
    • History
    • Offices and facilities
    • People
    • Video presentation of the DFA
  • Teaching

    • Salta al menu-{field:uid}
    • Degree courses
    • PhD courses
    • Summer and Winter Schools
    • Disability and Dyslexia
  • Research

    • Salta al menu-{field:uid}
    • Research areas and groups
    • Flagship projects
    • Seminars
    • Projects funded
    • Research Integrity Code
  • Commissione web

  • Third Mission

    • Salta al menu-{field:uid}
    • Stars on Earth
    • Science from the Islamic World to Today's Europe
  • News

    • Salta al menu-{field:uid}
    • Communications
    • Events
    • Latest updates
    • Appointments
    • Archivio News
  • Area Riservata

    • Salta al menu-{field:uid}
    • Area riservata Commissione web
  • Research
    • Research areas and groups
      • 1. Experimental Physics of Fundamental Interactions
        • Development of experimental techniques for future experiments
          • Research areas and groups
            • 1. Experimental Physics of Fundamental Interactions
              • Particle and high energy physics
              • Astroparticle physics and astrophysics
              • Nuclear Physics and Astrophysics
              • Development of experimental techniques for future experiments
            • 2. Theoretical Physics of Fundamental Interactions
              • Strings, Gravity, and Quantum Fields
              • Theoretical Physics at the Energy Frontier
              • Theoretical Physics at the Intensity Frontier
              • Astroparticle Physics
              • Theoretical Nuclear Physics
            • 3. Experimental Condensed Matter Physics
              • Biophysics
              • Physics of semiconductors and advanced crystals
              • Fisica delle nanostrutture e delle metasuperfici
              • Physics of surfaces, interfaces and hybrid materials
              • Physics of Disordered Systems
              • Quantum hardware and technology
            • 4. Theoretical Condensed Matter Physics
              • Statistical Physics of Complex and Biological Systems
              • Quantum Theories and Numerical Simulations of Condensed Matter
              • Teoria e Metodi dell’informazione e del Calcolo Quantistico
            • 5. Astrophysics and Cosmology
              • Exoplanets
              • Theoretical astrophysics and cosmology
              • Evolution of galaxies and active galactic nuclei
              • Stellar populations
              • Solar system
            • 6. Didactics and History of Physics
              • History of physics
              • Research GRoup on Astronomy and Physics Education (GRAPE)
            • 7. Multidisciplinary physical applications
              • Radiation Imaging and Tracking (GRIT)
              • Physics of Vision
              • Physics of Plasmas
          • Flagship projects
            • Quantum Science and Technology
            • Data Science and modelling
          • Seminars
          • Projects funded
            • International projects
            • European projects
              • Horizon Europe
              • Horizon 2020
              • FP7
            • National projects
            • UNIPD projects
          • Research Integrity Code

          Skip to content

          Development of experimental techniques for future experiments

          The development of new experimental techniques and the improvement of existing ones has always been the basis of research in the physical field. In particular, the future experiments in which we are involved present us with increasingly demanding technological challenges: they require us to create new detectors, to improve their spatial and temporal precision and energy resolution, to increase their resistance to radiation damage and to optimize them in order to obtain the best possible final measurement.

          Staff

          Full Professors: Silvia Lenzi, Donatella Lucchesi, Marco Zanetti
          Associate Professors: Gianmaria Collazuol, Piero Giubilato, Daniele Mengoni, Jacopo Pazzini, Francesco Recchia, Gabriele Simi
          Assistant Professors: Serena Mattiazzo, Mia Tosi, Andrea Triossi
          Technical staff: Enrico Borsato, Michele Giorato, Devis Pantano, Luca Silvestrin

          Post-doc

          Davide Zuliani

          PhD students

          Federica Borgato, Sabrina Giorgetti, Caterina Pantouvakis, Michele Rignanese

          External collaborators

          Patrizia Azzi, Nicola Bacchetta, Marco Bellato, Alessandro Bertolin, Massimo Benettoni, Antonio Bergnoli, Tommaso Dorigo, Federica Fanzago, Enrico Lusiani, Filippo Marini, Sandro Ventura, Alberto Zucchetta

          Research activities

            Silicon-based detectors and electronics

          Silicon plays a fundamental role in present-time electronics systems we daily interact with but also in any modern scientific apparatus, from the data management and parsing (see 1.2) down to the very hearth of the experiment, where elementary particles are detected, and their trajectories in space “photographed” by giant, ultrafast cameras called detectors. Such detectors are mostly composed of pixel sensors very similar to those found in smartphones, cameras, and other electronic equipment.
          The detectors, technologies and systems developed to meet the HEP and space-borne experiments impact many other scientific fields, and the applied ones as well, see 6.2 for more details on the applied side of detectors R&D.
          Compact and bulkier versions of these such detectors can be also employed in nuclear physics and astrophysics, and to produce sensors and decade-lasting batteries for space and medicine.
          Contacts : Piero Giubilato, Serena Mattiazzo, Daniele Mengoni
          Website:GRIT

            Detectors for precise timing measurement

          In modern physics experiments, the precise measurement of particle passage times allows a reduction in the number of spurious signals and a precise reconstruction of the collision products. In particular, detectors dedicated to timing measurements with a time resolution of about 35 ps (CMS experiment) and sensors with intrinsically excellent time resolution (TIMESPOT project and IGNITE project) are being developed.
          Contacts: Mia Tosi, Roberto Rossin, Gabriele Simi, Serena Mattiazzo
          Website:TIMESPOT, CMS

            Photon detectors with germanium

          High-resolution gamma-ray spectroscopy is one of the most powerful and sensitive tools for investigating the structure of atomic nuclei and reactions relevant to nuclear astrophysics. Significant advancements in this field have been achieved by the possibility of determining the position and energy deposition of individual photon interaction points within a germanium crystal and reconstructing the photon scattering sequence through advanced data analysis algorithms. Arrays of germanium detectors employing these techniques, known as Pulse Shape Analysis and γ-ray tracking, will achieve the necessary performance to operate effectively at future radioactive ion beam facilities
          Contacts: Silvia M. Lenzi, Daniele Mengoni, Francesco Recchia

            Measurement of particle energy

          For many physics experiments a fundamental ingredient is the measurement of the energy of the particles. This, combined with the measurement of the momentum, allows us to obtain the mass of the particle. The relevant detector is called a "calorimeter". As part of the LHCb collaboration, a new calorimeter is being developed that can resist the damage produced by the LHC's radiation and at the same time precisely measure the arrival times of photons.
          Contacts: Donatella Lucchesi, Davide Zuliani
          Website:  LHCb

            Particle identification techniques

          The identification of the particles produced in accelerator collisions is of fundamental importance for understanding the nature of the underlying physical processes. For the LHCb experiment, new detectors (with the relevant electronics) are being developed based on the simultaneous measurement of the direction of the Cherenkov radiation and its arrival time which will allow the identification of charged particles of different types even in the high trace density conditions expected after the LHC upgrade.
          Contacts: Gabriele Simi, Federica Borgato
          Website:RICH @LHCb

            Gas detectors for charged particles and photons

            Trigger and data acquisition techniques

          The LHC's proton beams collide every 25 ns; the CMS experiment detects every product of such collisions at the same incredible rate; the enormous data traffic necessarily passes through a rigorous selection. CMS currently discards more than 99.99%, which severely limits the sensitivity of the experiment to possible New Physics. The L1 Scouting project aims to process and analyze data before any filtering, reducing the distortion with which collisions are analyzed to almost zero. This requires the development of dedicated electronic boards, network protocols, online processing systems based on machine learning.
          Contacts: Jacopo Pazzini, Andrea Triossi, Marco Zanetti
          Website:BoostLab

            Detector optimization techniques

          The use of deep learning techniques, and more generally of differentiable programming, is being considered to build differentiable models also of the intrinsically stochastic parts of the information extraction chain from a detector and a physical process of interest, through the reconstruction of the electronic signals and the creation of summary statistics, produces statistical inference on the parameters of interest.

          Differentiable programming
          By minimizing a loss function, which includes modeling of the radiation-matter interaction, of the geometry of the apparatus, of the pattern recognition of the signals, and of the data analysis, and of the cost of the apparatus, a full and complete optimization of the entire experimental apparatus and measurement procedure.
          Contacts: Michele Doro, Mia Tosi
          Website:  MODE

          Quantum Machine Learning
          Machine Learning techniques have proven to be extremely effective in the field of high-energy physics across a broad spectrum of applications, from classification problems to simulation. The new Quantum Machine Learning techniques, which exploit the properties of quantum computation, are currently still not widespread. The growing availability of quantum computers opens the door to developments of new algorithms for improving data analyzes and detectors.
          Contacts: Donatella Lucchesi, Davide Zuliani

           

          DEPARTMENT OF PHYSICS AND ASTRONOMY “GALILEO GALILEI”

          • Amministrazione trasparente
          • People

          CONTACTS

          Via F. Marzolo, 8 - 35131 Padova
          Telefono: +39 049 827 7088
          Fax: +39 049 827 7102
          • Certified mail: dipartimento.dfa(at)pec.unipd[dot]it
          • Contatti webmaster: webmaster(at)dfa.unipd[dot]it
          Università inclusiva HR Excellence in research
          © 2018 Università di Padova - Tutti i diritti riservati P.I. 00742430283 C.F. 80006480281
          • About the website
          • |
          • Privacy