2024 UniGe Physics day

Europe/Zurich
H8 (Campus Biotech)

H8

Campus Biotech

9 Chemin des Mines
Anna Sfyrla (University of Geneva) , Camille Bonvin, Federico Sanchez (Université de Genève) , Louk Rademaker, Luigi Bonacina
Description

To facilitate scientific discourse and promote social interaction within the physics section, we are excited to announce a one-day Physics meeting scheduled for January 12, 2024, running from 8:30 AM to 6:00 PM. This special event is designed to engage every member of the section, offering young researchers a platform to showcase their projects in a clear and jargon-free manner, fostering accessible and engaging discussions for all.


                                             

Participants
  • Adimulya Kartiyasa
  • Alberto Rolandi
  • Alessandro Scarfato
  • Alexandra Latshaw
  • Alexandra Smirnova
  • Alexandre Favre
  • Andrea Serpolla
  • Andreas Ørsted
  • Andy Tanjaroon Ly
  • Anna Efimova
  • Anna Sfyrla
  • Anna Tamai
  • Antoine Ethève
  • Antonio Picardi
  • Antti Pirttikoski
  • Arpad Pasztor
  • BASTIEN LACAVE
  • Benjamin Lustenberger
  • Brayan Felipe Reyes Alvarado
  • Camille Bonvin
  • Carlo Alberto Fenoglio
  • Carlos Moreno Martinez
  • caterina trimarelli
  • Celia Lucas Esparseil
  • Charline Ragon
  • Cheolyeon Cheon
  • Chiara Magliocca
  • Chris Finlay
  • Dana Douqa
  • Daniel Sobral Blanco
  • Dario Rossi
  • Dilay Bayat
  • Doyoung Kim
  • Drini Marchese
  • Edward Galantay
  • Eliot Donnadieu
  • Enea Di Dio
  • Enzo Putti-Garcia
  • Eugene Sukhorukov
  • Federico Sanchez
  • Felix Baumberger
  • Francesco Iacovelli
  • Francesco Lonardo
  • Francesco Sorrenti
  • Georgios Voutsinas
  • Gianluca Folino
  • Gianluca Molinari
  • Gianmarco Gatti
  • Giulia Venditti
  • Géraldine Haack
  • Ishita Pushkarna
  • Ivo Gabrovski
  • jeremie teyssier
  • Jihad Saidi
  • Jingjing Chen
  • Johannes Hulsman
  • Jorge Sabater Iglesias
  • João Ferreira
  • Julia Issing
  • Julien Carron
  • Jérôme Kasparian
  • Katerina Tzanetou
  • Konstantinos Axiotis
  • Laure Moinat
  • Leon Bozianu
  • Lihuan Sun
  • Lorenzo Giannessi
  • Lorenzo Gotta
  • Luca Iodice
  • Lucas Bezio
  • Ludovica Tovaglieri
  • Luigi Bonacina
  • Malik Algelly
  • Malte Algren
  • Manbing Li
  • Maria Ana Afonso Pereira
  • Maria Berti
  • Marine Leyvraz
  • Martin Pijnenburg
  • Martina D'Arco
  • Mathias El Baz
  • Mathias Moors
  • Matteo Balbo
  • Matteo Milanesio
  • Matthieu Heller
  • Maura Brunetti
  • Mercedes Paniccia
  • Moritz Wiggert
  • Mr Moreno
  • Mykhailo Dalchenko
  • Nastassia Grimm
  • Niccolò Muttoni
  • Nicolas Faust
  • Noshin Tarannum
  • Ondrej Theiner
  • Oriel Kiss
  • Pantelis Kontaxakis
  • Paul Coppin
  • Paulí Figueras
  • Philipp Azzarello
  • Pietro Pelliconi
  • Rebecka Sax
  • Ruth Durrer
  • Shahid Khan
  • Shideh Davarpanah
  • Simon Neves
  • Simona Procacci
  • Sophie Egelhaaf
  • Stefania Bordoni
  • STEFANO FOFFA
  • Stefano Franchellucci
  • Stefano Losito
  • Steven Schramm
  • Stéphane Goyette
  • Svetlana Karpova
  • Sveva Castello
  • Tanguy Prongué
  • Teresa Montaruli
  • Tessa Basso
  • Thomas Critchley
  • Thomas Krähenbühl
  • Thomas Moreau
  • Théo Moretti
  • Théo Norbert Julio Sanchez Mejia
  • Tiff Brydges
  • Tjark Miener
  • Tobias Golling
  • Tomke Schröer
  • Vadym Voitsekhovskyi
  • Vedantha Srinivas Kasturi
  • Vilius Cepaitis
  • Viraj Nistane
  • Yann Alexanian
  • Øyvind Christiansen
    • 08:30 09:00
      Coffee and tea 30m
    • 09:00 09:10
      Welcome 10m
      Speaker: Prof. Jean-Pierre Wolf
    • 09:10 10:30
      Presentations: Morning 1
      • 09:10
        Searching for new physics in pileup 20m

        Review talk

        Speaker: Prof. Steven Schramm (DPNC)
      • 09:30
        Collective advantages in finite-time thermodynamics 10m

        A central task in finite-time thermodynamics is to minimize the excess or dissipated work, Wdiss, when manipulating the state of a system immersed in a thermal bath. We consider this task for an N-body system, whose constituents are identical and uncorrelated at the beginning and end of the process. In the regime of slow but finite-time processes, we show that Wdiss can be dramatically reduced by considering collective protocols in which interactions are suitably created along the protocol. This can even lead to a sub-linear growth of Wdiss with N: Wdiss∼N^x with x<1; to be contrasted to the expected Wdiss∼N satisfied in any non-interacting protocol. We derive the fundamental limits to such collective advantages and show that x=0 is in principle possible, which however requires highly non-local N-body interactions. We then explore collective processes with realistic many-body interacting models, in particular a 1D spin chain and an all-to-all spin model, achieving noticeable gains under realistic levels of control. As an application of these results, we focus on the erasure of information in finite time, and prove a faster convergence to Landauer's erasure bound.

        Speaker: Alberto Rolandi
      • 09:40
        Laser-guided Lightnings: Atmospheric discharges controlled by high-repetition rate laser filaments 10m

        Lightning is highly destructive due to its high-power density and uncertain character. It is therefore important to develop better protection methods in addition to the traditional Franklin rod. Here, we present the first demonstration that laser-induced filaments can guide lightning discharges over considerable distances. In the framework of the Laser Lightning Rod project, we develop a Yb:YAG laser system for lightning control, with 500 mJ pulses of 1 ps duration at 1 kHz. The project aims at investigating its propagation in the sky, in the multiple filamentation regime and its ability to control high-voltage discharges. This pioneering experimental breakthrough has the capacity to drive advancements in the fields of both lightning protection and the comprehension of lightning physics.
        During the summer of 2021, an experimental campaign was conducted on the Säntis mountain in north-eastern Switzerland with a high-repetition-rate terawatt laser. The guiding of an upward negative lightning leader over a distance of 50 m was recorded by two different high-speed cameras. With Very-High-Frequency interferometric measurements, we assess the guiding of negative lightning leaders by laser filaments. Also with X-ray scintillator device, we measure a substantial increase of the number of X-ray bursts detected during guided lightning events. Characterizing the lightning events with and without laser filaments, over the wide electromagnetic spectrum, we are able to corroborate the guiding of 50m long atmospheric discharges with a laser.
        Although this research field has been very active for more than 20 years, this is the first field-result that experimentally demonstrates lightning guided by lasers. This research opens the way for novel atmospheric uses of ultrashort lasers, marking a significant improvement in advancing laser-based lightning protection systems, designed for critical sites and expansive infrastructures. Nonetheless, we demonstrated the possibility to pierce holes into clouds by the help of laser filaments. This could become useful for optical ground to satellite communication, which is orders of magnitude faster than radio communication, but can only be done at clear sky.

        Speaker: mr moreno
      • 09:50
        Our motion, gravitational waves and the isotropy of the Universe 10m

        I introduce the kinematic cosmic dipole tension, which is a challenge for isotropic models of the Universe. I present different ways in which this dipole can be measured, and the resulting tension, comparing early (CMB) and late Universe maps. I then show the contribution that the next generation of gravitational waves detectors will have on this issue, thanks to resulting maps of gravitational waves events. I illustrate how such maps will bring deeper insight into the tension, along with detection forecasts.

        Speaker: Martin Pijnenburg
      • 10:00
        Measurement of the Isotopic Composition of Light Nuclei in Cosmic Rays with AMS 10m

        The Alpha Magnetic Spectrometer operating on the International Space Station is a cutting-edge detector that measures spectra of cosmic ray particles and nuclei, including the isotopic composition of light nuclei, which is essential to understand cosmic ray propagation and origin. The Be10/Be9 ratio measures the cosmic ray propagation volume in the Galaxy, and the Li6/Li7 ratio tests the existence of primordial lithium. Current measurements are limited to energies below 2 GeV/n and are affected by large uncertainties. AMS can extend the measurement of the isotopic compositions up to 11 GeV/n. In this contribution, measurements of Lithium, Beryllium, and Boron isotopic fluxes with AMS data will be presented.

        Speaker: Manbing Li
      • 10:10
        The NUSES space mission 10m

        The new space mission NeUtrino and Seismic Electromagnetic Signals (NUSES) will investigate low-energy and ultra high energy cosmic rays, the Sun-Earth environment, space weather, and the magnetosphere-ionosphere-lithosphere connection (MILC). Through its two payloads, Zirè and Terzina, NUSES will be a trailblazer for the development and testing of innovative technologies (such as cutting-edge SiPM sensors) and observational techniques for future missions. The Zirè experiment will monitor low-energy fluxes of electrons, protons, and other light nuclei in order to study the Van Allen belt, space weather, and the MILC coupling, as well as detect cosmic MeV photons to analyze transient phenomena and steady gamma sources. The Terzina telescope is devoted to the observation of the Cherenkov light produced by extensive air showers in the Earth’s atmosphere generated by ultra high energy cosmic rays (above 100 PeV). Terzina will look at the Earth limb in the near UV and visible ranges at the nanosecond time scale and will demonstrate the observational concept of detecting Earth-skimming high-energy neutrinos. Terzina will be able to explore the possibility of future physics missions (such as POEMMA) dedicated to UHECR detection and neutrino astronomy.

        Speaker: Shideh Davarpanah (Université de Genève)
      • 10:20
        Towards the development of superconducting joints between REBCO coated conductors: a thermomechanical study 10m

        In recent years, High-Temperature Superconductors (HTS) have gained prominence in high-field applications, not only due to their elevated critical temperature (Tc) but also owing to their superior critical magnetic field (Bc2) at lower temperatures, surpassing 100 T and outperforming conventional superconductors in this regard. Recent advancements in practical conductor development based on HTS, specifically Rare Earth Barium Copper Oxide (REBCO) Coated Conductors (CCs), have opened avenues for superconducting solenoids capable of generating fields in the 30 T range. Among potential applications for such high fields, Nuclear Magnetic Resonance (NMR) spectroscopy stands out, as its resolution power for unraveling complex molecular structures increases proportionally with the intensity of the magnetic field. Two critical considerations are integral to the advancement of NMR systems based on REBCO ultra-high field magnets. Firstly, the magnet must operate in persistent current mode, wherein the current flows seamlessly within a closed superconducting loop. Secondly, a limitation arises as the available lengths of REBCO coated conductors are confined to unit lengths ranging from 100 to 200 m. These conditions necessitate the development of superconducting joints, with resistance in the order of R<10-12 Ω, between Coated Conductors. This task is notably challenging for REBCO due to its ceramic nature and the need for precise oxygen doping to achieve optimal functionality. Establishing a superconducting joint between two exposed surfaces of REBCO requires the simultaneous application of temperature and pressure. However, the inherent mechanical fragility of CCs, coupled with the challenges posed by the deoxygenation and potential decomposition of REBCO at elevated temperatures, presents a potential obstacle. Notably, the consequences of concurrently applying temperature and pressure remain largely unexplored in the literature. This study addresses this gap, undertaking a comprehensive analysis of the influence of these thermomechanical loads on the critical current (Ic) of commercial CCs. A variety of pressure and temperature combinations were systematically applied to the samples, and their critical current was measured at 77K, within a self-field. The insights gained from this research are pivotal for the advancement of a robust technology aimed at achieving superconducting joints in REBCO Coated Conductors.

        Speaker: Celia Lucas Esparseil (Department of Quantum Matter Physics, University of Geneva)
    • 10:30 11:00
      Coffee break 30m
    • 11:00 12:30
      Presentations: Morning 2
      • 11:00
        Motivations for exploring quantum thermal machines 20m

        Review talk

        Speaker: Prof. Géraldine Haack (GAP)
      • 11:20
        Tuning quantum phases through space charge doping 10m

        Quantum phenomena are currently at the forefront of scientific inquiry, offering insights into exotic electronic phases within matter. My research focuses on unlocking the mysteries of these phases in atomically thin Van der Waals materials. Through an innovative electrostatic doping technique called space charge doping, we have developed a method that safeguards the sample's surface while introducing significant electron or hole doping, ultimately triggering remarkable electronic phases.
        Our investigation employs a scanning tunnelling microscope in conjunction with space charge doping, enabling us to scrutinize the atomic-level electronic response to doping in these materials. This research could provide valuable insights into the driving forces behind quantum phases, such as superconductivity and charge density waves.

        Speaker: Andreas Ørsted (UNIGE - DQMP)
      • 11:30
        Testing gravity through the distortion of time 10m

        In 1998, observations of distant stellar explosions provided striking evidence that the expansion of the Universe is accelerating. The cosmology community has struggled to find an explanation for this phenomenon ever since, postulating the existence of a mysterious form of “dark energy” driving the expansion. However, the lack of theoretical understanding of its properties motivates the search for other explanations, most notably the possibility that our theory of gravity, Einstein’s General Relativity, should be modified on cosmological scales. In my talk, I will illustrate how this hypothesis can be tested from the observed distribution of galaxies, focusing on measurements of the distortion of time that will be provided by the coming generation of galaxy surveys.

        Speaker: Sveva Castello (University of Geneva)
      • 11:40
        Commissioning of the TOF detector for the T2K ND280 Upgrade 10m

        T2K is a long-baseline neutrino experiment based in Japan. Its Near Detector complex is undergoing a significant update; in particular, part of the ND280 detector is being replaced by three new subdetectors: SFGD, two HA-TPCs, a TOF.

        The latter was completely designed, assembled, tested and commissioned by the DPNC of UniGe. The commissioning is still ongoing and has included several activities: assembling and testing of the hardware (scintillator bars read out by SiPMs, a digitizer with excellent time resolution, a Slow Control system), implementation of the DAQ and SC systems, software development, data analysis. The detector is already installed in Japan in almost all its components and has been taking cosmic data as well as neutrino beam data.

        In this poster we present preliminary results about the TOF capabilities and first analyses of the data taken in particular in December 2023, which are going to be interfaced with the other detectors in the upcoming months.

        Speaker: Emanuele Villa (University of Geneva)
      • 11:50
        Gas Detection via Quantum Fourier Transform Infrared Spectroscopy in Long-Path Absorption 10m

        Over recent years, the detection of organic compounds has arisen as a cornerstone for security, health, environmental and pollution issues. The ability to measure low concentrations of gases such as methane, methanol, or nitrogenous compounds, allows to perform tasks such as practical medical diagnoses, explosives detection, or the prevention of pollution from various sources, including industry and agriculture. The Laser technology has enabled the detection of such compounds thanks in particular to Fourier Transform Infrared (FTIR) spectroscopy. The mid-infrared part of the electromagnetic spectrum is of particular interest, for it features molecular transitions involving vibrational and rotational levels, specific to each molecules. However, in order to span this part of the spectrum, conventional FTIR spectrometers rely on noisy and low-efficiency detectors, which also require cooling to operate properly. Applications of FTIR spectroscopy in the mid-infrared region are therefore limited for the time being, particularly in terms of spectral resolution at low gas concentrations.

        More recently, the growing interest for induced coherence in quantum photonic interference has opened perspectives for more practical and sensitive FTIR spectrometers in the mid-infrared region. This phenomenon was first introduced by Zou et al. in 1991 [1], and involves an interference on the idler photon from a pair emitted via spontaneous parametric down-conversion (SPDC). Remarkably, the visibility of this interference depends on the transmissivity of an optical element placed in the signal photon's path, element that never interacted with the idler photon. Applications of this phenomenon to infrared spectroscopy were only proposed during the last decade [2], with first applications to FTIR spectroscopy proposed by Paterova et al. in 2018 [3] and Lindner et al. in 2021 [4], who combined induced coherence in a nonlinear Michelson interferometer with Fourier Transform spectroscopy techniques. This allowed them to measure the absorption spectrum of gases in the mid-infrared region, by detecting a near-infrared photon with less noisy, more efficient, and cheaper detectors. These experiments pioneered the field of quantum FTIR spectroscopy, feeding the hope for more sensitive detection of organic compounds in the mid-infrared spectrum.

        In this work, we built a quantum FTIR spectrometer displaying the highest sensitivity ever achieved. In order to reach this sensitivity, we built such a nonlinear Michelson interferometer, with enhanced stability allowing to probe the gas in 1.7m-long interferometer arms. The resulting total absorption consequently increases by two orders of magnitude compared to the most recent experiment of Lindner et al. [4]. In addition, we used new post-processing techniques, by filtering out the noise in the spectrum reconstructed via Fourier transform, in a more selective way than the more usual apodization post-processing. This allowed us to resolve faint absorption lines of gases that would otherwise be imperceptible. The resulting sensitivity was high enough to detect the absorption spectrum of ethanol and methanol vapors in ambient air, as well as absorption lines of methane and water vapour from human breath and earth atmosphere. In addition, thanks to the large spectral band allowed by FTIR spectroscopy, multiple gas were identified from the same sample. This way, we showed that quantum FTIR spectroscopy can indeed be used for practical applications, such as medical breath analysis and on-filed gas detection.

        [1] X.Y. Zou, L.J. Wang, and L. Mandel, "Induced Coherence and Indistinguishability in Optical Interference", Physical Review Letters, 67 (3), 318 – 321 (1991).
        [2] D.A. Kalashnikov, A.V. Paterova, S.P. Kulik, L.A. Krivitsky, "Infrared spectroscopy with visible light", Nature Photonics 10,98-101 (2016).
        [3] A. Paterova, H. Yang, C. An, D. Kalashnikov, and L. Krivitsky, "Measurement of infrared optical constants with visible photons", New Journal of Physics, 20, 043015 (2018).
        [4] C. Lindner, J. Kunz, S.J. Herr, S. Wolf, J. Kießling, and F. Kühnemann, "Nonlinear interferometer for Fourier-transform mid-infrared gas spectroscopy using near-infrared detection", Optics Express, 29 (3), 4035 - 4047 (2021).

        Speaker: Simon Neves (UNIGE - GAP Biophotonics)
      • 12:00
        First Physics Results from the FASER Experiment with LHC Run 3 Data 10m

        FASER, an experiment at the LHC, was designed to explore the existence of light, weakly interacting particles that are generated in proton-proton collisions at the ATLAS interaction point and travel in the far-forward direction. The initial data analysis focused on two searches: the decay of dark photons into an electron-positron pair and the charged-current interaction of muon neutrinos leading to the production of muons. The outcomes of these searches during LHC Run 3 data, will be presented. For the dark photon analysis, no events were observed in an almost background-free analysis, resulting in world-leading constraints on dark photons with couplings in the range of $\epsilon \sim 10^{-5} - 10^{-4}$ and masses in the range of $\sim 10$ MeV - $100$ MeV. In the neutrino analysis, we identified $153^{+12}_{-13}$ neutrino interactions with a significance of 16 standard deviations above the background-only hypothesis.

        Speaker: Ms Noshin Tarannum (University of Geneva)
      • 12:10
        Calibration of Imaging Atmospheric Cherenkov Telescopes using Muons 10m

        Imaging Atmospheric Cherenkov Telescopes (IACTs) play a crucial role in probing the high-energy universe through the detection of very-high-energy gamma rays. The accuracy and reliability of these instruments are contingent upon precise calibration methodologies. Examining the ring-shaped images generated by muons within IACTs offers a robust and accurate approach for calibrating the telescopes' optical throughput and tracking changes in their optical point-spread function. Muons are particles generated from cosmic-ray interactions with Earth's atmosphere. Their well-characterized properties, including their known flux and energy spectra, make them invaluable for calibration purposes.
        The talk aims to relieve the significance of muon calibration techniques as indispensable tools in advancing the precision and reliability of IACT observations. Additionally, we will discuss the physics of extensive air showers, recent discoveries in the field of gamma-ray astronomy, and encountered problems. It seeks to stimulate further research and collaborative efforts toward gamma-ray astronomy and optimizing calibration methodologies for the next generation of IACT.

        Speaker: Vadym Voitsekhovskyi (University of Geneva)
      • 12:20
        Can we discover Beautiful resonances with Trigger Level Analysis? 10m

        The exceptionally accurate Standard Model (SM) theory of fundamental interactions is known to be incomplete. Many new theories extend the SM, trying to solve some of the most compelling puzzles of nature, such as the Dark Matter (DM) enigma. Some simplified models predict the existence of bosons mediating interactions between SM and DM particles. These new force mediators could appear as weakly coupled resonances in the dijet spectrum of the Large Hadron Collider (LHC) experiments. Hunts for these signals in the low mass regime are often trigger limited, due to the constraints of data acquisition systems. I will present a technique known as Trigger Level Analysis (TLA) designed to overcome such limitations, enabling to study pp interactions with less energetic final states. This method is used among various experiment at the LHC, I will focus on the recent developments in ATLAS that enhanced the physics reach of TLA.

        Speaker: Stefano Franchellucci (DPNC)
    • 12:30 14:00
      Lunch
    • 14:00 15:10
      Presentations: Afternoon 1
      • 14:00
        More is Different 20m

        The principle of emergence leads to new insights on the measurement problem and the Higgs mechanism, by showing their relation to magnetism and superconductivity, respectively.

        Speaker: Prof. Louk Rademaker (DQMP)
      • 14:20
        The Hitchhiker's Guide to the Galaxy (peculiar velocities) 10m

        In this talk, we will review what peculiar velocities are and how they can help us in better understanding both our local universe and its cosmological components. In particular, we will focus on the information we can extropolate from the Pantheon+SH0es and CosmicFlow4 datasets

        Speaker: Francesco Sorrenti (University of Geneva - Cosmology Group)
      • 14:30
        CTLearn: Deep Learning Framework for Ground-based Gamma-ray Astronomy 10m

        The Cherenkov Telescope Array (CTA), conceived as an array of tens of imaging atmospheric Cherenkov telescopes (IACTs), is an international project for a next-generation ground-based gamma-ray observatory. CTA aims to improve on the sensitivity of current-generation instruments a factor of five to ten and will provide energy coverage from 20 GeV to more than 300 TeV. Arrays of IACTs probe the very-high-energy gamma-ray sky. Their working principle consists of the observation of air showers initiated by the interaction of very-high-energy gamma rays and cosmic rays with the atmosphere. Cherenkov photons induced by a given shower are focused onto the camera plane of the telescopes in the array. The camera recoding contains the longitudinal development of the air shower, together with its spatial, temporal, and calorimetric information. The properties of the originating very-high-energy particle (type, energy and incoming direction) can be inferred from those recordings by reconstructing the full event using machine learning techniques. In this contribution, we present a purely deep-learning driven, full-event reconstruction of simulated CTA events and an application of an Artificial Intelligence (AI)-based trigger system for the next-generation of IACT cameras using CTLearn. CTLearn is a package that includes modules for loading and manipulating IACT data and for running deep learning models, using pixel-wise camera data as input.

        Speaker: Dr Tjark Miener (UniGE - DPNC)
      • 14:40
        FPGA Utilization for Addressing Data Challenges in the ATLAS Trigger System at HL LHC 10m

        The High Luminosity Large Hadron Collider (HL LHC) poses novel challenges for the ATLAS Trigger and Data Acquisition (TDAQ) system. The substantial increase in data generated demands a trigger system capable of efficient data handling. Field-Programmable Gate Arrays (FPGAs) offer fixed latency and are adept for high-frequency applications, thus finding utility across various segments of the ATLAS trigger infrastructure. This presentation highlights select research and development projects leveraging custom and off-the-shelf FPGA boards within the ATLAS framework.

        Speaker: Konstantinos Axiotis
      • 14:50
        Twist angle dependent electronic properties of monolayer molybdenum disulfide on Au(111) 10m

        Transition metal dichalcogenides like molybdenum disulfide (MoS$_2$) have been studied on metal surfaces, but little is known about twist angle-dependent electronic properties of these simple heterostructures, which indeed offers tremendous opportunities to design functional quantum materials. In this talk, I will present a detailed scanning tunneling microscopy and spectroscopy investigation of the electronic properties of monolayer MoS$_2$ on gold as a function of twist angle. We find that the semi-conducting band edges and hence the band gap are modulated at the moiré wavelength (moiré between MoS$_2$ and gold) and this modulation progressively vanishes with increasing twist angle. We explain our findings in terms of hybridization between the nearest gold and sulfur atoms, which becomes spatially homogeneous with an increase in the twist angle.

        Speaker: Ishita Pushkarna (Department of Quantum Matter Physics, University of Geneva)
      • 15:00
        Controlling and investigating domain structures in PbTiO3 ferroelectric thin films and heterostructures 10m

        PbTiO$_3$ is a material that exhibits a bulk paraelectric-ferroelectric phase transition at a critical temperature T$_c$ of 765 K, with an electric switchable polarisation that develops along the c-axis mostly due to ionic displacements. Theoretical studies in PbTiO$_3$ thin films have revealed complex phase diagrams with different configurations of domains - regions with uniform polarisation [1]. It has been demonstrated that it is possible to control the intrinsic domain pattern in terms of size and shape by tailoring the electrostatic boundary conditions, the film thickness, the deposition temperature, and the epitaxial strain of the substrate. In a Pb$_x$Sr$_{1-x}$TiO$_3$ solid solution, there is also the possibility to adjust the critical temperature T$_c$ and to tune the domain configuration and domain walls by varying the composition (x) [2]. Moreover, PbTiO$_3$/SrTiO$_3$ and Pb$_x$Sr$_{1-x}$TiO$_3$/SrTiO$_3$ superlattices can exhibit more complex domain structures and novel phenomena like negative capacitance [3].
        The objective of this research is to study the domain structures and domain walls in PbTiO$_3$ thin films as a function of thickness and deposition temperature on various substrates. We also explore Pb$_x$Sr$_{1-x}$TiO$_3$ solid solutions with various compositions, as well as more complex structures, such as bilayers, heterostructures and superlattices.
        In the case of PbTiO$_3$ heterostructures, epitaxially strained on (110)$_o$-oriented DyScO$_3$ substrates, with bottom and top SrRuO$_3$ electrodes, the domain configuration in the PbTiO$_3$ film was found to depend on the PbTiO$_3$ thickness. This evolution was studied using a combination of atomic force microscopy, laboratory and synchrotron x-ray diffraction and high resolution scanning transmission electron microscopy [4]. Above a critical value of PbTiO$_3$ thickness, a modulation in the structure of the top SrRuO$_3$ electrode has been observed, opening the possibility of domain engineering via structural coupling to ferroelastic domains [5].
        Moreover, piezoresponse force microscopy analysis of similar PbTiO$_3$ heterostructures without the top SrRuO$_3$ electrodes have been performed for direct imaging of the local polarisation and further investigation of the domain configuration.
        References:
        [1] Schlom et al., Annu. Rev. Mater. Res., Vol. 37, no. March, pp. 589–626 (2007).
        [2] Fernandez-Peña et al., APL Mater., Vol. 4, no. 8, pp. 1–8 (2016).
        [3] Zubko et al., Nature, Vol. 534, no. 7608, pp. 524–528 (2016).
        [4] Lichtensteiger et al., APL Mater. 11, 061126 (2023).
        [5] Lichtensteiger et al., APL Mater. 11, 101110 (2023).

        Speaker: Ludovica Tovaglieri
    • 15:10 16:10
      Posters session: Posters with coffee
      • 15:15
        High-dimensional Quantum Steering in Networks 1m

        A key feature of quantum physics is quantum entanglement. It is for example needed for quantum steering. In a standard quantum steering scenario there is a trusted party, meaning that their measurement device is well characterised, and an untrusted party, meaning that their measurement device is treated like a black box. Low dimensional entanglement between two parties has been studied extensively. However, many findings cannot be extrapolated to multiple parties and moreover, increasing the dimensions of the systems allows for more complex entanglement structures.

        We are interested in characterising high-dimensional entanglement in a network through quantum steering. One such example is a triangle network with only one trusted party, or more generally a line network with some trusted parties. We investigate what can be deduced about the strength of entanglement between the different nodes of the network in such scenarios. We are especially interested in entanglement dimensionality, i.e. how many levels can be certified to be entangled, and entanglement robustness, i.e. how tolerant to noise is the entanglement.

        Speaker: Sophie Egelhaaf
      • 15:16
        The effect of a lipid surface coating on the permeation of upconverting nanoparticles through a 3D human lung epithelial model 1m

        Abstract
        Preclinical studies often overlook lung mucus barriers, crucial for drug permeation. This research uses a patient-derived 3D cell culture model to examine lanthanide-doped upconverting nanoparticles (UCNPs) with different surface coatings. Tracking UCNPs via upconverting emissions reveals significant differences in mucus residence time and mucociliary clearance. Positively charged, ligand-free, and negatively charged, supported lipid bilayer-coated UCNPs exhibit distinct behaviors. These findings emphasize the importance of considering nanoparticle surface properties in preclinical investigations, particularly in tissue models, highlighting the need for realistic assessments to improve therapeutic outcomes.

        1 Result and Discussion
        Lipid bilayered upconversion nanoparticle permeating mucus layer
        When nanoparticles were aerosol-deposed on the mucosa epithelium, SLB- and LF-UCNPs were homogeneously distributed over the mucus layer and by the mucociliary movement, this deposition is mostly cleared out from the center of the MucilAir. Figure 1 shows the images at the center of MucilAir inserts measured 24 hours after aerosol deposition for the two UCNPs preparations. SLB-UCNPs are detected over the epithelial tissue layer. We investigated the cellular interaction of SLB-UCNPs after avoiding the interaction with mucus. LF-UCNPs were not detected on the mucus layer and were fully cleared out by mucociliary clearance after 24 hours.

        2 Conclusion
        This study underscores the efficacy of lipid-coated upconverting nanoparticles (UCNPs) for mucus permeation in realistic aerosol delivery, offering insights for personalized medical solutions and broader applications in treating various mammalian tissues.

        Speaker: Doyoung Kim (Université de Genève)
      • 15:17
        Identifying Tipping points in Climate Simulations using Complex Networks 1m

        Early Warning Signals (EWS) are indicators that can be used to anticipate tipping points i.e. abrupt changes of the climate dynamics. Detecting EWS is a crucial part of climate science, especially in the context of climate change. Several methods are used to identify tipping points using time series of climate state variables (e.g. temperature, precipitation, etc ...), but a few consider spatial correlations. Spatial detection could identify the starting location of a transition process from a state to another and can be directly applied to satellite observations. We consider different state variables on the numerical grid as a complex network where grid points displaying correlation are connected and their temporal evolution is studied. We seek for statistical indicators that can be used as EWS when approaching the state transition. The complex network is generated and analysed using the pyUnicorn package on Python [1], and compared to classical statistical methods [2]. These indicators are applied to the results of numerical simulations showing tipping points at the global scale, and their application as EWS is discussed.

        [1] Donges, Jonathan F., et al. “Unified Functional Network and Nonlinear Time Series Analysis for Complex Systems Science: The Pyunicorn Package.” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 25, no. 11, Nov. 2015, p. 113101, https://doi.org/10.1063/1.4934554. Accessed 11 Nov. 2021.

        [2] van der Mheen, Mirjam, et al. “Interaction Network Based Early Warning Indicators for the Atlantic MOC Collapse.” Geophysical Research Letters, vol. 40, no. 11, 4 June 2013, pp. 2714–2719, https://doi.org/10.1002/grl.50515.

        Speaker: Laure Moinat (UNIGE)
      • 15:18
        Alternative climatic steady states for the Permian-Triassic paleogeography 1m

        The climate is a nonlinear dynamical system driven by the inhomogeneous energy received from the Sun. The redistribution of energy involves a multitude of processes acting at various spatial and temporal scales. These processes are interconnected, leading to the existence of a multitude of feedback loops that can amplify or compensate each other.
        A steady state is reached when a balance between the input of energy, dissipation and feedbacks occurs. Because of the presence of several feedbacks, there are several ways for these mechanisms to equilibrate. Thus, in general, there is no a unique resulting steady state under the same forcing, and the final state only depends on the initial conditions. A situation referred to as ‘multistability’.

        The study of alternative steady states is relevant for deep-time climate modelling, where large uncertainties exist on forcing conditions used to initialize simulations. We propose applying the multistability framework to the paleogeography of the Permian-Triassic boundary (250 Ma). This period is marked by a huge magmatic activity in the Siberian Traps and one of the largest mass extinction, followed by oscillations in climatic conditions during the Early Triassic.

        Simulations are performed using the MIT general circulation model in a coupled atmosphere-ocean-sea ice-land configuration, with the paleogeographic reconstruction provided by PANALESIS. We first show the existence of two robust alternative steady states under the same forcing. Then, by varying the atmospheric CO2 content, we construct a bifurcation diagram, a 2D-plot allowing us to identify the stability range of each steady state and the position of tipping points. Such a tool helps identifying the required conditions for the system to shift from one state to another and possible tipping mechanisms for the observed climatic oscillations in the Early Triassic. Finally, additional feedbacks acting on millennial time scales, namely dynamical vegetation and air-sea carbon exchanges, are included in our setup with numerical solutions that reduce the computational cost of the simulations.

        Speaker: Charline Ragon (GAP nonlinear)
      • 15:19
        Model-independent tests of gravity from cosmological surveys 1m

        (Poster) Cosmological observations are well described by the LCDM model, a universe with a cold dark matter component and a cosmological constant acting as dark energy. However, more and more cosmological tensions have emerged in the past decades, putting this simple model into question. A large amount of research has focused on the quest for an alternative model of modified gravity and dark energy, but no consensus has been reached. In this poster, I will discuss how to develop powerful tests of gravity that cover the whole range of modified gravity theories. More specifically, I will present the novel observable \hat{J}, which can be measured by combining current galaxy-galaxy lensing and galaxy clustering data from the Dark Energy Survey. By employing such model-independent tests of gravity, the next generation of cosmological surveys offers remarkable prospects for testing our cosmological model and potentially discovering new physics.

        Speaker: Nastassia Grimm (University of Geneva)
      • 15:20
        The undetectable neutrino and how to detect it: the Super-FGD 1m

        The T2K[1] collaboration is upgrading the near detector (ND280) with four additional subdetectors: a time of flight detector (TOF), two high-angle TPCs (HATPC), and the super fine grained detector (Super-FGD).
        The Super-FGD consists of 2 million scintillator cubes read by optic fibers along three directions, allowing three-dimensional track reconstruction in a 2-tons fiducial mass detector. The remarkable advantages are low proton detection momentum threshold, neutron detection ability, and 4π angular acceptance. A crucial element for the success of this detector is the Front-End electronics, comprising more than 200 Front-End Boards (FEB) handling almost 60 thousand SiPM channels, designed by the University of Geneva and LLR (Paris).

        This work presents the first performance studies of the read-out electronics, as well as a Functional Test fully designed at UniGe to reliably check the hardware quality of each of the 243 FEBs used in the detector. This is currently used as an electronics diagnostics tool on-site.
        Furthermore, a detailed simulation of the read-out system is under development, offering an important instrument for the estimation of systematics uncertainties related to the PID capabilities of the detector.

        The Super-FGD and its electronics have been successfully installed and integrated in ND280, currently taking neutrino-beam data.

        Speaker: Lorenzo Giannessi (University of Geneva)
      • 15:21
        Photoresponsive Nanocarriers Based on Lithium Niobate Nanoparticles for Harmonic Imaging and On-Demand Release of Anticancer Chemotherapeutics 1m

        Nanoparticle-based drug delivery systems have the potential for increasing the efficiency of chemotherapeutics by enhancing the drug accumulation at specific target sites, thereby reducing adverse side effects and mitigating patient acquired resistance. In particular, photo-responsive nanomaterials have attracted much interest due to their ability to release molecular cargos on demand upon light irradiation. In some settings, they can also provide complementary information by optical imaging on the (sub)cellular scale. We herein present a system based on lithium niobate harmonic nanoparticles (LNO HNPs) for the decoupled multi-harmonic cell imaging and near-infrared lighttriggered delivery of an erlotinib derivative (ELA) for the treatment of epidermal growth factor receptor (EGFR)-overexpressing carcinomas.
        The ELA cargo was covalently conjugated to the surface of silica-coated LNO HNPs through a coumarinyl photo-cleavable linker. The resulting nanoconjugates (LNO-CM-ELA NPs) were successfully imaged upon pulsed laser excitation at 1250 nm in EGFR-overexpressing human prostate cancer cells DU145 by detecting the second harmonic emission at 625 nm, in the tissue transparency window. This protocol induced a significant growth inhibition in DU145 cells, which was only observed upon specific irradiation at 790 nm, highlighting the promising capabilities of LNO-CM-ELA NPs for theranostic applications.
        We also present a theoretical and experimental assessment of the photo-release efficiency as a function of HNP material and size, by comparing direct two-photon absorption by the photocleavable linker to HNP-mediated harmonic generation followed by linear absorption and drug release.

        Speaker: Paulí Figueras (GAP NBI)
      • 15:22
        Characterisation of a Multi-photon microscope with 4 kHz framerate using lithium niobate nanoparticles 1m

        Multi-photon scanning microscopy is a well-established method in bio medical imaging. The shift of the excitation wavelength to longer wavelengths (NIR and beyond) allows for a deeper optical penetration into biological tissue. As each pixel must be probed individually the image acquisition time of conventional systems is inertia limited by the oscillation frequency of two galvanometric mirrors and can take seconds, making physiological processes that occur on a shorter timescale inaccessible for scanned imaging.
        We characterize the prototype in development of the Spectro-Temporal Laser Imaging by Diffractive Excitation (SLIDE) system that aims to overcome this limitation. This multi-photon scanning microscope utilizes a fast tunable Fourier Domain Mode Locking (FDML) Laser with a center wavelength of 1064 nm and a pulse repetition rate up to 960 MHz in combination with a diffractive element to achieve frame rates of up to 4 kHz and live volume imaging of a 150 x 100 x 50 µm^3 volume sampled at a pixel density of 4 x 4 x 2 pixel/µm with a volume rate of 40 volumes per second.
        At these scanning speeds, corresponding to a pixel dwell time of 1 ns, the fluorescence lifetimes of fluorophores that usually lie in the nano second range are a limiter to imaging speed. We therefore focus on the imaging of physiological structures like collagen or samples labelled by lithium niobate (LiNbO_3) nanoparticles that give an almost instantaneous response by second harmonic generation.

        Speaker: Moritz Wiggert (GAP NBI)
      • 15:23
        Applying deep learning to SST1M event reconstruction with CTLearn 1m

        The highly energetic nature of gamma rays renders their terrestrial observation impossible, as they interact with the atmosphere, producing particle showers. These particles then become a source of Cherenkov radiation, subsequently detected by an array of ground-based telescopes. Their cameras record images which are then parametrized. The parameters are fed to random forests to reconstruct the direction, energy and type of the primary. My work explores alternative methods that involve training of convolutional neural networks that do not require image parametrization and therefore exploit all the information available. The resulting data analysis pipeline, called CTLearn, achieves better performance which allows full exploitation of the SST1M telescopes potential.

        Speaker: BASTIEN LACAVE (Université de Genève)
      • 15:24
        A novel range telescope concept for proton CT 1m

        Proton beam therapy can potentially offer improved treatment for cancers of the head and neck and in paediatric patients. Proton therapy is a promising new type of cancer treatment, can be targeted more directly at the tumor and does less damage to other tissue. Treatments are currently planned using conventional X-ray CT images. It is happening due to the absence of devises able to perform high quality proton computed tomography (pCT). However, this system (X-ray image + proton therapy) increases the dose obtained by the patients. To avoid this a new plastic-scintillator-based range telescope concept, named ASTRA, is proposed to measure the proton’s energy loss in a pCT system.
        The performance of ASTRA has been tested by simulating the imaging of phantoms. The results show excellent image contrast and relative stopping power reconstruction.
        The first tests of selected kind of scintillators and the SiPMs were performed by the DPNC at the University of Geneva and the University of Birmingham, the prototype and the readout system (using the BabyMind CITIROC) will be prepared by the DPNC group. The prototype will be tested with proton beam at the University of Birmingham.
        In this poster I present a concept of ASTRA, the simulation results and further development of the project.

        Speaker: Svetlana Karpova (University of Geneva )
      • 15:25
        Trajectory Based RFI Subtraction and Calibration 1m

        The next generation of radio telescopes such as the SKA will probe to sensitivity levels never achieved before. However, as we probe deeper we are susceptible to more Radio Frequency Interference (RFI), such as from satellites. RFI is an ever increasing problem for radio telescopes even without increasing our sensitivity. Fortunately, many sources of RFI have reasonably predictable trajectories. We present TrAjectory BAsed RFI Subtraction and CALibration (tabascal), a new method that exploits this feature of many RFI sources to model and constrain the contamination in radio interferometric data. We find that with only a weak prior of the RFI trajectories and mild assumptions on the astronomical signal, we are able to recover the signal of interest to the same level as uncontaminated data.

        Speaker: Chris Finlay (UniGe)
    • 16:10 17:10
      Presentations: Afternoon 2
      • 16:10
        Review talk 20m

        Review talk

        Speaker: Prof. Julien Carron (DPT)
      • 16:30
        Electronic structure of encapsulated mono- and bilayer T$_d$-MoTe$_2$ 10m

        Bulk orthorhombic T$_d$-MoTe$_2$ is a type-II Weyl semimetal and becomes superconducting at a critical temperature of $T_c = 0.1\,\text{K}$. Remarkably, superconductivity becomes far more robust in the 2D limit, contrary to generic models and the established trend in ultrathin metal films. Recent transport measurements reported a gradual increase in $T_c$ as the thickness is reduced with $T_c$ reaching 7.6 K in the monolayer. The reasons for the strong increase in $T_c$ as well as the nature of the superconducting state remain unknown. Here, we present the electronic structure of exfoliated mono- and bilayer T$_d$-MoTe$_2$ probed by micro-focused angle resolved photoemission spectroscopy. Our thickness-dependent measurements reveal that mono- and bilayer MoTe$_2$ are both compensated metals. The electron pocket of monolayer MoTe$_2$, shows signatures of strong coupling to optical phonons with a mass enhancement $\lambda\approx 1.5$. In bilayer MoTe2 electron-phonon coupling is weaker consistent with the thickness dependence of $T_c$.

        Speaker: Julia Issing (University of Geneva)
      • 16:40
        Digital holography and artificial intelligence for real-time detection and identification of pathogenic airborne spores 10m

        Disease management is a key aspect of modern agriculture, but farmers must equally face the ever-growing concerns and increasingly strict governmental restrictions related to the use of pesticides. Unfortunately, farmers cannot afford to wait for symptoms to appear on their crops to know when to treat because, by that time, the disease has already settled in. Hence, decision-making tools have been developed to help farmers know when to treat their crops. Current tools are based on a variety of techniques but generally lack either the spatial or temporal resolution required to efficiently protect the harvest. Commonly, forecast techniques based on meteorological conditions as well as the lifecycle of the plant are used to determine an infection risk factor relevant to the area and the disease type, however, it lacks the essential knowledge as to whether the diseases are present in the fields and does not consider any interventions made. To this effect, holographic detectors were developed and placed in vineyards in various regions of Switzerland and France over five years with the objective of detecting and identifying airborne spores of downy and powdery mildew, two common grapevine diseases, before infection. The data is analysed using image processing techniques and artificial intelligence to correctly classify the disease from which the spores are released and identify any patterns representative of the infection risk. This method provides essential information on the quantitative development of fungal diseases and has been successfully used to identify the primary infection of downy mildew which was confirmed by a visual evaluation of symptoms within a control parcel. Furthermore, the real-time knowledge of the presence of spores in the air before the appearance of any symptoms, has allowed for the determination of the optimal time to deploy the implemented treatments as well as an evaluation of their effectiveness, resulting in a reduction, up to 30%, of fungicide use. This data coupled with the current risk prediction models enable farmers to optimise strategies in the management of grapevine diseases.

        Speaker: Tessa Basso
      • 16:50
        Advancing Superconducting Wire Technology: From monofilament to Industrial-Scale Nb$_3$Sn wires for the next generation of accelerator magnets 10m

        The Future Circular Collider (FCC-hh) project, proposed by CERN with a target collision energy of 100 TeV, stands at the forefront of particle physics research. Advancements in superconducting wire technology are crucial for developing the required 16 T superconducting dipole magnets necessary to guide the proton beams. Nb$_3$Sn emerges as the most promising superconducting material for making these high-field dipole magnets. However, the critical current density (J$_C$) of state-of-the-art wires is currently 20% below the targeted performance of 2500 A/mm² at 16T and 4.2K. The critical current density of Nb$_3$Sn is inversely proportional to the material grain size. Therefore, one potential route to meet the FCC specification is to develop methods that limit the Nb$_3$Sn grain coarsening during phase formation. To achieve this, at the University of Geneva, we are employing the internal oxidation process, utilizing Nb-Ta alloys with oxygen-affinity elements such as Zr or Hf, along with an oxygen source (SnO$_2$). During synthesis, the oxygen source reacts, forming nano-ZrO$_2$ (or HfO$_2$) precipitates that inhibit grain growth. The achieved refinement of the grain size from 110 nm to 50 nm enhances the J$_C$ to 3000 A/mm² at 16 T and 4.2 K in an Hf-based wire and to 2700 A/mm² in a Zr-based wire. These wires, incorporating Hf, Zr, and the oxygen source, exhibit an upper critical magnetic field (B$_{C2}$) exceeding 29T, surpassing the values achieved in commercial wires by more than 1T. Currently, we are implementing this technique in multifilamentary wires, with the goal of developing scalable methods for industrial production. Introducing the oxygen source remains a challenge, as industrial standard wires consist of ductile metals without powders. Various implementation routes will be presented and discussed.

        Speaker: Francesco Lonardo
      • 17:00
        Nuclei analysis of the AMS-02 experiment with machine learning 10m

        The Alpha Magnetic Spectrometer-02 (AMS-02) experiment is a magnetic spectrometer on the International Space Station (ISS) that can measure the flux of particles from cosmic sources in a rigidity window ranging from GVs to a few TVs and up to at least Nickel (charge Z=28). Measuring Mn, Fe, Cl, and Ar fluxes with high precision can constrain models of cosmic ray propagation. The challenge is that Mn is not as abundant as Fe and therefore can get contaminated with Fe and its fragmentation.
        Manually optimized standard selection criteria have been shown to work well for low-mass nuclei but they are static and variables often have non-linear correlations. Also, they only include a very few variables. Machine learning (ML) algorithms learn from data by analyzing examples and the selection applied through them is non-linear. Various ML algorithms such as MLPs, CNNs, transformers, and XGBoost were tried and XGBoost shows better performance in terms of accuracy and speed. To build an ML model that analyzes nuclei from Li (charge Z=3) to Ni (charge Z=28), Monte Carlo (MC) simulations are used for training the ML algorithm. The data contains every nuclei species in equal abundance. After training and checking the ML model performance for overfitting and underfitting the model is applied to an MC sample with natural abundances. The ML model shows better purity than the standard selection for F (already well-studied) for the same signal efficiency. The ML algorithm can suppress the background much better than the standard selections of the AMS-02 experiment. ML algorithms are often termed black boxes, therefore, to understand the approximate behavior of the model the Shapley method is used. The method shows that the algorithm makes decisions according to the underlying physics.

        Speaker: Dr Shahid Khan (Université de Genéve)
    • 17:10 18:10
      Drinks