908 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sapienza University of RomeIT42 papers
- California Institute of TechnologyUS23 papers
- University of Rome Tor VergataIT22 papers
- University of TorontoCA22 papers
- Jet Propulsion LaboratoryUS21 papers
- Centre National de la Recherche ScientifiqueFR20 papers
- Cardiff UniversityGB19 papers
- Lawrence Berkeley National LaboratoryUS19 papers
- University of California, Santa BarbaraUS18 papers
- University of PisaIT17 papers
- National Research CouncilLK16 papers
- University of BolognaIT16 papers
152 papers
t-STEP: An interpretable model for Total Electron Content predictions and irregularities estimations
Stephen Tete, Carl Shneider, Maxime Cordy +3
Earth system infrastructures relying on satellite-based technologies, such as Global Positioning System (GPS) communications, are affected by ionospheric Total Electron Content (TE…
GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1839
GW240925 and GW250207 are two loud gravitational-wave signals from binary black hole coalescences observed with network signal-to-noise ratios and , respectively…
Narrowband searches for continuous gravitational waves from known pulsars in the first two parts of the fourth LIGO--Virgo--KAGRA observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1853
Rotating non-axisymmetric neutron stars (NSs) are promising sources for continuous gravitational waves (CWs). Such CWs can, if detected, inform us about the internal structure and…
Near real-time channel selection for Distributed Acoustic Sensing technology
Emanuele Bozzi, Giulio Pascucci, Giacomo Rapagnani +5
Distributed Acoustic Sensing (DAS) technology is advancing seismic monitoring by providing dense observations near earthquake sources. However, the resulting data volumes often lim…
J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies
A. Giménez-Alcázar, R. Amorín, J. M. Vílchez +32
Extreme emission line galaxies (EELGs) are key tracers of intense star formation and potential analogues of the sources that reionized the early Universe. Their low-redshift counte…
Correcting exponentiality test for binned earthquake magnitudes
Angela Stallone, Ilaria Spassiani
Above the magnitude of completeness - the minimum threshold for which a 100\% detection rate is assumed - earthquake magnitudes are typically modeled as a continuous exponential di…
Eruption column modelling of explosive volcanism on Venus
Maxence Lefèvre, Matteo Cerminara, Antonio Costa
Volcanism on Venus has never been directly observed, but several measurements indicate present-day activity. Volcanism could potentially play a role in climatic processes on Venus,…
Origin of gas in the Magellanic Bridge: MeerKAT detection of HI 21-cm absorption
A. P. M. Morelli, J. Kerp, N. Gupta +6
HI 21-cm absorption lines are investigated to determine the origin of the neutral atomic hydrogen (HI) of the Magellanic Bridge (MB). Using the MeerKat Absorption Line Survey (MALS…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
Antonio Tudisco, Deborah Volpe, Giacomo Orlandi +1
The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform…
A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models
Deborah Volpe, Giacomo Orlandi, Mattia Boggio +3
Effective epidemic control is crucial for mitigating the spread of infectious diseases, particularly when pharmaceutical interventions such as vaccines or treatments are limited. N…
Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification
Antonio Tudisco, Deborah Volpe, Giovanna Turvani
Accurate and reliable diagnosis of diseases is crucial in enabling timely medical treatment and enhancing patient survival rates. In recent years, Machine Learning has revolutioniz…
The detection of marine microseismic activity with the CUORE tonne-scale cryogenic experiment
D. Q. Adams, C. Alduino, K. Alfonso +126
Vibrations from experimental setups and the environment are a persistent source of noise for low-temperature calorimeters searching for rare events, including neutrinoless double b…
Quantitative error analysis of back-stripping based models: case study from Po Delta (northern Italy)
Eleonora Vitagliano, Chiara D'Ambrogi, Ilaria Spassiani +1
Numerical back-stripping procedure is crucial for understanding the geological mechanisms of basin formation or for reconstructing the palaeo-bathymetry in the oceanic regions. How…
The MeerKAT Absorption Line Survey (MALS) data release 3: Cold atomic gas associated with the Milky Way
N. Gupta, J. Kerp, S. A. Balashev +15
We present results of a blind search for Galactic HI 21-cm absorption lines toward 19130 radio sources, using 390 pointings of MALS, each pointing centered on a source brighter tha…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi +12
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet whether they can deliver an advantage for practical real-world problems remains…
Integrated probabilistic computer using voltage-controlled magnetic tunnel junctions as its entropy source
Christian Duffee, Jordan Athas, Yixin Shao +6
Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic…
Time-Lagged Recurrence: a data-driven method to estimate the predictability of dynamical systems
Chenyu Dong, Davide Faranda, Adriano Gualandi +2
Nonlinear dynamical systems are ubiquitous in nature and they are hard to forecast. Not only they may be sensitive to small perturbations in their initial conditions, but they are…
Evaluating the efectiveness of sonifcation in science education using Edukoi
Lucrezia Guiotto Nai Fovino, Anita Zanella, Luca Di Mascolo +4
Science, Technology, Engineering, and Mathematics classes are mainly taught using visual supports. However, the advancement of technology and the increasing eforts to equip schools…
The environmental low-frequency background for macro-calorimeters at the millikelvin scale
L. Aragão, A. Armigliato, R. Brancaccio +14
Many of the most sensitive physics experiments searching for rare events, like neutrinoless double beta () decay and dark matter interactions, rely on cryogenic macro-calorim…
Pore pressure study in the Irpinia area (Southern Apennines, Italy)
E. Vitagliano, L. Improta, L. Pizzino +1
Subsurface pore pressure studies are crucial for understanding the geomechanical behaviours of the geological formations and for preventing the failure conditions of the rocks. Alt…
Correlated 0.01Hz-40Hz seismic and Newtonian noise and its impact on future gravitational-wave detectors
Kamiel Janssens, Guillaume Boileau, Nelson Christensen +22
We report correlations in underground seismic measurements with horizontal separations of several hundreds of meters to a few kilometers in the frequency range 0.01Hz to 40Hz. Thes…
Earthquake dynamics constrained from laboratory experiments: new insights from granular materials
Andrea Bizzarri, Alberto Petri, Andrea Baldassarri
The traction evolution is a fundamental ingredient to model the dynamics of an earthquake rupture which ultimately controls, during the coseismic phase, the energy release, the str…