Erica Alfinelli

I’m a PhD student of the XXXVI cycle and I’m working in the SDSC group. We are interested in the physics of glasses ranging from vibrational properties to relaxation processes.
In our laboratories we are mainly focusing on light scattering on disordered systems close to the dynamical arrest. Besides that, we have many collaborations abroad with Large Scale Facilities as Synchrotrons and Free Electron Lasers.
My research activity is devoted to the investigation of dynamics of glasses by means of X-rays and coherent visible light.

Title: Intense x-ray beam as a trigger and probe of defects enucleation in silica-based materials
Supervisor: Giacomo Baldi

The physics of glasses still misses a microscopic description of the dynamics ruling the glass formation. X-ray Photon Correlation Spectroscopy (XPCS) is an established technique to probe relaxation processes in materials at the atomic length-scale and a promising technique to elucidate the glass transition phenomenon. In this talk, I will show some evidences that the x-ray beam of the XPCS technique pumps and probes defect production in silica and in its crystalline counterpart.

Sophie Bini

I studied in Trento, then in Pisa and now I’m back here, working in the field of gravitational waves detection. My activities concern the development of a machine learning tool to mitigate terrestrial noise, and the search for gravitational waves from isolated neutron stars.

Title: Search for gravitational-waves associated with isolated neutron stars
Supervisor: Giovanni Andrea Prodi

So far, about 90 gravitational waves have been detected by ground-based interferometers, all of them originating from the coalescence of two compact objects. However, gravitational waves are expected also from other astrophysical sources, among which isolated neutron stars that exhibit intermittent electromagnetic emissions, likely due to the re-arrangement of their structure.

Sebastiano Bontorin

My name is Sebastiano Bontorin, I did both my BSc and MSc at the University of Trento with a focus in computational bio-physics and network science. I am now doing a PhD focusing on the application of statistical physics in the study of cities and human mobility.

Title: Optimization of multilayer spatial transportation networks
Supervisor: Manlio De Domenico

In this talk I discuss some of the salient features of complexity science applied on the structure of cities. Specifically, I present a model to reconstruct the optimal geometry of spatial transportation networks in the context of human mobility and the coupling with a spatially distributed set of attracting points, exploiting tools coming from statistical physics.

Sebastiano Bresolin

I am a second-year doctoral student in the Trento BEC theory group. I did my bachelor’s degree here in Trento and my master’s degree in the Trento-SISSA joint program

Title: Counterintuitive soliton dynamics in binary Bose-Einstein condensate mixtures
Supervisor: Alessio Recati

Solitons with a periodic dispersion relation are predicted in Bose-Einstein condensate mixtures thanks to a formal analogy with ferromagnets. They have the counterintuitive property of undergoing oscillations under a constant force. This effect is interpreted in terms of Josephson physics in one component, with the other acting as a mobile barrier.

Alessandro Camilletti

I’m working in neutron star (NS) physics, especially in binary neutron star merger with the use of current state-of-the art numerical simulations. During my PhD project I will also work on the hadron to quark-gluon plasma phase transition that is believed to occur inside NS and its observable effects on the merger dynamics.

Title: Neutron Stars in the Multimessenger Era
Supervisor: Albino Perego

The advent of the gravitational wave detectors has opened the new era of multi-messenger astrophysics. Numerical Relativity (NR) is a major tool to investigates astrophysical phenomena that we are now observing with gravitational wave detectors and electromagnetic observatories. I will speak about how NR can guide our comprehension of binary neutron star mergers.

Ylenia Capitani

Having obtained my BSc and MSc degrees in Physics from Università di Pisa, in 2020 I started my PhD programme at Università di Trento under the supervision of professor W. Leidemann. My scientific interests are in the field of theoretical nuclear physics and my research is mainly focused on the study of nuclear few-body systems with ab initio methods including calculations from Effective Field Theory and integral transform approaches.

Title: Nuclei in cluster Effective Field Theory: bound state and electromagnetic breakup
Supervisor: Winfried Leidemann

In the cluster effective framework, nuclei such as Beryllium or Carbon are described as systems of alpha-particles and neutrons interacting through potentials derived from Effective Field Theory. The bound-state problem is solved using the Non-Symmetrized Hyperspherical Harmonics method. The electromagnetic breakup of cluster nuclei can be studied within the integral transform approach using the Lorentz Integral Transform method.

Riccardo Cominotti

My name is Riccardo Cominotti, I’m a PhD student working in the field of ultracold atoms. I studied for my BSc and MSc at the University of Trento. I currently experimentally investigate the behavior of mixtures of coherently coupled Bose-Einstein Condensates, where the interplay between the external coupling and internal many-body interactions gives rise to a rich variety of physical phenomena.

Title: Faraday waves in coherently-coupled superfluid
Supervisor: Gabriele Ferrari

The recent observation of Faraday waves in a coherently coupled mixture of Bose-Einstein Condensates have provided a spectroscopic technique to experimentally measure the dispersion relation of density and spin collective excitation modes. In the case of a coupled mixture, the gapped dispersion of the spin mode is associated with the appearance of an effective mass,. This result shows that coupled mixtures of BEC can be an experimental platform for the quantum simulations of massive particles.

Abhinandan Dass

I am Abhinandan Dass. I hail from a relatively unknown but exquisite place in India called Assam. I work under the supervision of Prof. Paolo Zuccon in the INFN-TIPFA AMS-02 group in Data Analysis, MC simulation and particle-plasma physics phenomenology. Earlier, I used to work in modified theories of gravity, and in particular f(R) and Brans-Dicke theories. I have also worked in quantum complexity in the context of Black Holes. I did my masters thesis work in SISSA, Italy and got my masters in Theoretical and Computational Physics from UNITN. Besides that, I am a Powerlifter and a writer. In my spare time, I like to cook Italian and Indian cuisine, and explore the Italian countryside.

Title: Indirect detection of dark matter from cosmic rays
Supervisor: Paolo Zuccon

Anti-proton (pbar) excess in CR is a privileged channel for indirect detection of DM. Pbar CR component of secondary origin has uncertainties coming from propagation models and anti-proton production cross-section (XS). The former can be reduced by CR isotopic studies and the latter from direct measurements. We perform an analysis on the Be isotope from AMS-02 data and present a preliminary ratio of Be10/Be9. We also work on the MC simulation of a RICH detector for p-He to pbar production XS measurement, and present a preliminary simulation of the same in geant4.

Danial Ghamari

I’m a second-year PhD student in SBP group, working under supervision of Pietro Faccioli. I come from Iran and received both my BSc and MSc in physics there, before coming to Trento for my PhD. At the moment, I work mainly on finding applications of Quantum Computers for solving problems in Statistical and Biological systems

Title: Transition path sampling with quantum computers
Supervisor: Pietro Faccioli

Sampling thermally activated rare-transitions in complex systems, e.g conformational changes in macromolecules, is a challenging task for classical computers. In this regard machine learning assisted schemes have proven valuable in reducing the computational cost, and quantum computers are expected to reach a stage in the near future to provide computational advantage in solving these problems. We devised a framework that integrates both of these technologies in conjunction with Molecular Dynamics, and samples the ensemble of transition paths while requiring no prior knowledge of the system

Arsham Ghavasieh

I’m Arsham, a physics student here working on complex systems. I did my BSc in my home country, Iran. Afterwards, I travelled to Trento to start my MSc, continuing with this PhD program. It has been quite a time now and I still feel fascinated by the collective behavior of many-entity biological systems and their marvelous emergent properties, and I believe there is so much we can learn about them, using the tools we inherit from people in the physics community, whether they are dead “and” alive.

Title: Statistical physics of complex information dynamics
Supervisor: Manlio De Domenico

Quantum mechanics formalism has been developed to deal with spooky properties of microscopic systems, such as coherence and entanglement. Recently, it has been shown that mathematical frameworks similar to quantum mechanics’ can be used to describe certain classical systems that are highly complex. Here, I discuss the density matrix method for analysis of complex networks, its advantages over classical descriptions and its applications in a wide range of systems, from neural and biological to infrastructural.

Daniela Mascione

I am a 2nd year PhD student and I am working on data science applied to high energy physics. I come from Teramo in Abruzzo and I graduated in Physics at the University of L’Aquila and in Piano at the Conservatory of L’Aquila. I like comics, visiting new places, and tasting new foods.

Title: Deep Neural Network size-reduction for Particle Identification
Supervisor: Roberto Iuppa

Deep Neural Networks are widely used in High Energy Physics for particle and event identification and reconstruction in collider experiments. We propose a method to drop unneeded information and to prune Deep Neural Networks used for the identification of jets originating from H boson decays. This task is accomplished through a suitable layer that allows the selection of the most relevant features and the network size reduction without worsening performance.

Giovanni Mattiotti

Giovanni Mattiotti enrolled at the University of Trento, for the bachelor’s course in Physics, in 2015. He then graduated with a master in Theoretical and Computational Physics. From November 2020 he is a PhD student in Physics, member of the VARIAMOLS group, where he works on the study and analysis of the behaviour of complex biological systems.

Title: Multiscale simulations of biomolecules: when blurred isn’t bad
Supervisor: Raffaello Potestio

Biomolecules, such as viral capsids and antibodies, are intrinsically complex systems. The prediction of their dynamics requires immense computational resources if we describe them at atomistic resolution. During the talk I will show my contribution to mitigate this problem, both through the development of new methods and their application in the field of multiscale simulations of soft matter.

Enrico Pierobon

I am Enrico, second year PhD student. My interests are applied nuclear physics, medical physics and advanced electronics.
I am working on the continuation of my thesis in collaboration with TIFPA. My work covers the development of a new hybrid detector to improve the description of the radiation field.

Title: Development and readout of novel hybrid detector for microdosimetry
Supervisor: Chiara La Tessa

Microdosimetry is a field of biophysics radiation aimed to describe the radiation interaction at micrometer level where the radiation damage occurs. It relies on the so-called mean chord length approximation. My PhD project is focused on the development of a new microdosimeter to improve the radiation quality description by dropping this approximation.

Sara Quercetti

I am a Ph.D. student of the Atomic and Molecular Physics group. I got my Bachelor’s Degree at the University of Camerino. I moved to Trento for my Master’s Degree, also attracted by the surrounding mountains, the perfect place for my hobbies. My goal has always been to contribute to tackling energetic and environmental issues.

Title: Electrical diagnostic for nanosecond pulsed discharges
Supervisor: Luca Matteo Martini

Nanosecond Pulsed Discharges are a promising technology to tackle the energy storage challenge by recycling CO2 into synthetic fuels. Accurate quantification of the energy dissipated in the discharge is crucial to determine the efficiency of these processes. The voltage measurement necessary for energy calculation requires the design and testing of high voltage probes with a wide bandwidth.

Eugenio Tufino

After graduating in physics, I worked in telecommunications research for several years and then decided to teach physics, enrolling in the school for teaching that existed at the time (SSIS). In recent years, I have developed a great passion for research in physics education research, developing physics activities related to astronomy, digital devices, computation.

Title: Rethinking introductory physics laboratories in light of recent interactive technologies and developments in Physics Education Research (PER)
Supervisor: Stefano Oss

Research in recent years indicates that laboratories in which experiments are proposed to verify a theory are not very effective from the point of view of student learning. I am investigating this by introducing the E-CLASS survey. I am developing more open labs with active learning methodologies, the use of digital acquisition devices such as smartphones, Arduino, iOLabs and computational elements in VPython and Python.