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Estimating the sensitivity of the IceCube Upgrade to probe the interior of the Earth using atmospheric neutrino oscillations
Authors:
The IceCube Collaboration,
R. Abbasi,
M. Ackermann,
J. Adams,
S. K. Agarwalla,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
S. Ali,
N. M. Amin,
K. Andeen,
C. Arg{ü}elles,
S. Athanasiadou,
S. N. Axani,
R. Babu,
X. Bai,
A. Balagopal V.,
S. W. Barwick,
V. Basu,
R. Bay,
J. J. Beatty,
J. Becker Tjus,
P. Behrens,
J. Beise,
C. Bellenghi
, et al. (399 additional authors not shown)
Abstract:
The IceCube Upgrade is a densely instrumented central region of the IceCube Neutrino Observatory, deployed during the 2025-26 polar season. It will reduce the detector's energy threshold and improve overall reconstruction capabilities for multi-GeV atmospheric neutrinos, which in turn enhance their sensitivity to Earth matter effects as they traverse through the deep Earth. In this study, we descr…
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The IceCube Upgrade is a densely instrumented central region of the IceCube Neutrino Observatory, deployed during the 2025-26 polar season. It will reduce the detector's energy threshold and improve overall reconstruction capabilities for multi-GeV atmospheric neutrinos, which in turn enhance their sensitivity to Earth matter effects as they traverse through the deep Earth. In this study, we describe the potential of the IceCube Upgrade to observe Earth matter effects on atmospheric neutrinos and estimate the detector's sensitivity to probe key features of the Preliminary Reference Earth Model by utilizing these observations. We highlight the IceCube Upgrade's capability to estimate the mass of the Earth and verify the non-homogeneous distribution of matter density within the Earth. We also estimate the IceCube Upgrade sensitivity to measure the correlated densities of the Earth layers while incorporating constraints from the mass and moment of inertia of the Earth. Neutrino-based results would be independent and complementary to the seismic and gravitational measurements.
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Submitted 6 August, 2026;
originally announced August 2026.
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Space-Time Event Scattering and Extension Method (STESEM): A Universal Framework for Scattering in Space-Time Metamaterials
Authors:
Klaas De Kinder,
Amir Bahrami,
Christophe Caloz
Abstract:
Space-time metamaterials offer unprecedented control over electromagnetic waves by enabling simultaneous manipulation of spatial and temporal degrees of freedom. However, analytical descriptions of their scattering processes remain fragmented, with existing approaches typically requiring configuration-specific derivations or transformations to specialized reference frames that become impractical f…
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Space-time metamaterials offer unprecedented control over electromagnetic waves by enabling simultaneous manipulation of spatial and temporal degrees of freedom. However, analytical descriptions of their scattering processes remain fragmented, with existing approaches typically requiring configuration-specific derivations or transformations to specialized reference frames that become impractical for accelerated or multi-interface structures. In this tutorial, we introduce the space-time event scattering and extension method (STESEM), a universal framework for electromagnetic scattering at arbitrary space-time interfaces. By decomposing the scattering process into a local interaction event and a subsequent extension along invariant traveling-wave coordinates, STESEM formulates space-time scattering directly in the laboratory frame without requiring coordinate transformations. The method provides a unified description of scattering amplitudes, frequency transitions and phase transformations for arbitrary incident waveforms and interface trajectories. We demonstrate the framework by deriving the complete scattering responses of canonical space-time structures, including stationary and instantaneous interfaces, space-time corners, uniformly moving interfaces, wedges and accelerated boundaries. Beyond providing analytical solutions, STESEM reveals the physical principles underlying these distinct phenomena and shows that complex space-time scattering processes can be constructed from elementary moving-interface interactions. This framework establishes a systematic foundation for analyzing and designing advanced space-time metamaterials, enabling extensions toward dispersive, bianisotropic and higher-dimensional systems.
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Submitted 4 August, 2026;
originally announced August 2026.
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The beamformed trigger of RNO-G: its design and in-field performance
Authors:
RNO-G Collaboration,
:,
S. Agarwal,
J. A. Aguilar,
N. Alden,
S. Ali,
P. Allison,
M. Betts,
D. Besson,
A. Bishop,
O. Botner,
S. Bouma,
S. Buitink,
R. Camphyn,
J. Chan,
S. Chiche,
B. A. Clark,
K. Couberly,
D. Dakroub,
K. D. de Vries,
C. Deaconu,
P. Giri,
C. Glaser,
H. Gui,
A. Hallgren
, et al. (55 additional authors not shown)
Abstract:
The Radio Neutrino Observatory in Greenland (RNO-G) is a neutrino detector under construction at Summit Station, with 8 out of a planned 35 stations currently deployed. We have designed and deployed a new phased array (PA) trigger based on delay-and-sum beamforming and power integration. This trigger improves detector performance by suppressing thermal noise and better targeting neutrino-induced A…
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The Radio Neutrino Observatory in Greenland (RNO-G) is a neutrino detector under construction at Summit Station, with 8 out of a planned 35 stations currently deployed. We have designed and deployed a new phased array (PA) trigger based on delay-and-sum beamforming and power integration. This trigger improves detector performance by suppressing thermal noise and better targeting neutrino-induced Askaryan signals. The new PA trigger has been deployed since the 2025 season. The trigger performance has been characterized using test pulses and calibration pulsers both in the lab and in-situ, and we find across these tests a 25% average reduction in the signal-to-noise ratio (SNR) needed to trigger on signals. Simulations are shown to be representative of the detector, and simulated trigger efficiencies are within 10% of measured data. Following the in-situ trigger validation, we use data-driven trigger performance to inform simulations of the detector effective volumes. The PA trigger increases our effective volume significantly, by over a factor of 2 below 0.1 EeV and at least a factor of 1.3 at the highest energies of 100 EeV.
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Submitted 27 July, 2026;
originally announced July 2026.
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Operation and performance of ProtoDUNE Dual Phase liquid argon time projection chamber
Authors:
DUNE Collaboration,
S. Abbaslu,
F. Abd Alrahman,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
K. Adhikari,
C. Adriano,
K. Agudelo-Jaramillo,
F. Akbar,
F. Alemanno,
N. S. Alex,
L. Aliaga Soplin,
A. Alqaisi,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
R. Amarinei
, et al. (1341 additional authors not shown)
Abstract:
ProtoDUNE-DP was the largest ever built Liquid Argon Time Projection Chamber (LArTPC) operating in Dual-Phase (DP) mode, with a liquid target and charge read-out placed in the gas. It had an active volume of $6\times6\times6$\,m$^3$ corresponding to an active mass of 300\,t (total LAr mass of 720\,t), constructed at the CERN Neutrino Platform and took data from 2019 to 2020 with cosmic muons. In P…
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ProtoDUNE-DP was the largest ever built Liquid Argon Time Projection Chamber (LArTPC) operating in Dual-Phase (DP) mode, with a liquid target and charge read-out placed in the gas. It had an active volume of $6\times6\times6$\,m$^3$ corresponding to an active mass of 300\,t (total LAr mass of 720\,t), constructed at the CERN Neutrino Platform and took data from 2019 to 2020 with cosmic muons. In ProtoDUNE-DP the electric drift field is oriented in the vertical direction, causing the electrons to drift vertically towards the anode at the top. The ionization charge is then extracted into the gaseous argon above the liquid surface, amplified by Townsend avalanches, and collected by the charge readout planes. The detector experienced significant technical problems affecting the long-term operation of the Charge Readout Planes, formed by the Large Electron Multipliers, but other critical segments demonstrated required performance including the delivery of -300 kV to the TPC cathode, verification of replaceable charge read-out electronics, and operation of the photon detection system. ProtoDUNE-DP experience resulted in improved designs of the Vertical Drift LArTPC.
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Submitted 21 July, 2026; v1 submitted 17 July, 2026;
originally announced July 2026.
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Space-Time Lensing by Accelerated Interfaces in Dispersive Media
Authors:
Cédric D'Exelle,
Klaas De Kinder,
Christophe Caloz
Abstract:
We present space-time lensing by synthetic accelerated interfaces in dispersive media. Frequency-dependent group velocities map spectral components of a pulse onto distinct trajectories in the longitudinal space-time plane, while an accelerated interface reshapes their frequencies through time-dependent Doppler shifts. We develop an inverse-design procedure for the interface trajectory that focuse…
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We present space-time lensing by synthetic accelerated interfaces in dispersive media. Frequency-dependent group velocities map spectral components of a pulse onto distinct trajectories in the longitudinal space-time plane, while an accelerated interface reshapes their frequencies through time-dependent Doppler shifts. We develop an inverse-design procedure for the interface trajectory that focuses a quasi-monochromatic wave packet at a prescribed space-time event for an arbitrary dispersion relation, then extend the construction to polychromatic pulses. In its time-reversed form, the operation collimates a broadband pulse into a narrow-band wave. Moreover, cascading the forward and reverse operations enables a broadband pulse to propagate through an otherwise dispersive channel in a spectrally compressed state before being refocused. Full-wave simulations validate the focusing construction and demonstrate dispersion suppression.
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Submitted 15 July, 2026;
originally announced July 2026.
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High-Energy Neutrino Tomography of the Earth's Interior with IceCube
Authors:
The IceCube Collaboration,
R. Abbasi,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
S. Ali,
N. M. Amin,
K. Andeen,
C. Argüelles,
S. Athanasiadou,
S. N. Axani,
R. Babu,
X. Bai,
A. Balagopal V.,
S. W. Barwick,
V. Basu,
R. Bay,
J. J. Beatty,
J. Becker Tjus,
P. Behrens,
J. Beise,
C. Bellenghi,
S. Benkel
, et al. (395 additional authors not shown)
Abstract:
The Earth's interior reflects its geological evolution, from accretion to present-day dynamics. Its structure drives the geodynamo in the outer core, generating the magnetic field that shields the surface from charged cosmic radiation. The primary observables of the Earth's interior are its radial density distribution and derived quantities such as its mass and moment of inertia. These have tradit…
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The Earth's interior reflects its geological evolution, from accretion to present-day dynamics. Its structure drives the geodynamo in the outer core, generating the magnetic field that shields the surface from charged cosmic radiation. The primary observables of the Earth's interior are its radial density distribution and derived quantities such as its mass and moment of inertia. These have traditionally been inferred from gravity and seismic wave propagation, which probe the macroscopic response of matter to gravitational and elastic forces. Here we instead constrain the Earth's density profile using high-energy neutrinos observed by the IceCube Neutrino Observatory at the South Pole. We analyze 10.7 years of predominantly muon-neutrino data spanning 500 GeV--100 TeV, including atmospheric neutrinos produced by cosmic-ray interactions in the Earth's atmosphere and the diffuse astrophysical neutrino flux. Neutrino attenuation depends on both the traversed column density and neutrino energy. By measuring the zenith- and energy-dependent flux suppression, we infer the Earth's radial density profile by fitting a concentric uniform-density shell model that incorporates neutrino fluxes, interaction cross sections, detector response, and glacial-ice systematic uncertainties. From the resulting density posteriors, we derive the Earth's mass and polar moment of inertia as measured by neutrinos. These are the most precise weak-interaction measurements of these quantities to date and are consistent with the Preliminary Reference Earth Model and independent gravitational determinations. Our results demonstrate that neutrinos provide a novel probe of planetary interiors via a distinct physical interaction, complementing gravity and seismology. With improved detectors and precision, neutrinos will further contribute to a multifaceted understanding of the Earth's structure.
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Submitted 7 July, 2026; v1 submitted 2 July, 2026;
originally announced July 2026.
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WavePID: Low-energy flavor identification using single-PMT time series in IceCube
Authors:
The IceCube Collaboration,
R. Abbasi,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
S. Ali,
N. M. Amin,
K. Andeen,
C. Argüelles,
S. Athanasiadou,
S. N. Axani,
R. Babu,
X. Bai,
A. Balagopal V.,
S. W. Barwick,
V. Basu,
R. Bay,
J. J. Beatty,
J. Becker Tjus,
P. Behrens,
J. Beise,
C. Bellenghi,
S. Benkel
, et al. (395 additional authors not shown)
Abstract:
The IceCube Neutrino Observatory, a cubic-kilometer detector at the South Pole, identifies neutrino flavor through event morphology. Sparse photon detection makes this classification particularly challenging in the 5--100~GeV regime, the energy range relevant for oscillation measurements and searches for physics beyond the Standard Model. We introduce WavePID, a template-based log-likelihood-ratio…
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The IceCube Neutrino Observatory, a cubic-kilometer detector at the South Pole, identifies neutrino flavor through event morphology. Sparse photon detection makes this classification particularly challenging in the 5--100~GeV regime, the energy range relevant for oscillation measurements and searches for physics beyond the Standard Model. We introduce WavePID, a template-based log-likelihood-ratio classifier that exploits nanosecond-scale timing on individual detector modules through three observables: the distance to the reconstructed vertex, the early-charge fraction, and the module-to-module time difference. Evaluated on a cascade-enriched sample selected by a state-of-the-art graph neural network, WavePID improves both cascade purity and classification performance over the neural network alone. This demonstrates that per-module pulse timing carries flavor-identification information complementary to morphology-based classifiers, opening a new physics-motivated observable for low-energy neutrino reconstruction. Geant4 simulations associate this signal with differences in Cherenkov emission geometry between muon tracks and electromagnetic showers. These results motivate exploiting nanosecond-scale pulse timing in future low-energy classifiers and in detector designs with improved per-module timing in next-generation neutrino telescopes.
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Submitted 20 August, 2026; v1 submitted 2 July, 2026;
originally announced July 2026.
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SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
Authors:
Dan Assouline,
Erwan Koch,
Federico Amato,
Filippo Quarenghi,
Daniele Nerini,
Thibaut Loiseau,
Kyle van de Langemheen,
Tom Beucler
Abstract:
Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multiscale nonlinear processes that global models cannot explicitly resolve at affordable cost. Global AI weather models can produce skillful medium-range forecasts, but their native 0.25 degrees resolution limits direct use for local hazard applications. St…
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Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multiscale nonlinear processes that global models cannot explicitly resolve at affordable cost. Global AI weather models can produce skillful medium-range forecasts, but their native 0.25 degrees resolution limits direct use for local hazard applications. Statistical downscaling can help bridge this gap, yet existing approaches often struggle with state-dependent, and especially lead-time-dependent, biases in global forecasts. We introduce SwAIther-Precip, a lead-time-aware downscaling framework that converts coarse-resolution AIFS forecasts into probabilistic km-scale precipitation fields over Switzerland. First, a U-Net conditioned on lead time via feature-wise linear modulation deterministically corrects systematic biases at coarse resolution. This targeted correction enables a cheaper super-resolution stage conditioned only on corrected precipitation, allowing direct training on observations rather than on the full atmospheric state. A diffusion-based model then generates fine-scale spatial variability independently of lead time. Using AIFS forecasts and CombiPrecip radar-gauge observations, SwAIther-Precip reduces CRPS by 48% relative to raw AIFS. The generated fields reproduce observed spatial variability with spectral fidelity above 0.85 at large scales and 0.88 at small scales, corresponding to an effective resolution of approximately 4 km on a 1 km grid for lead times up to 5 days. Training across lead times further improves long-range performance, yielding a 13% CRPS reduction at 6 days relative to lead-time-specific models. These results show that explicitly correcting lead-time-dependent biases before generative super-resolution is key to efficient km-scale probabilistic downscaling of global AI precipitation forecasts.
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Submitted 8 June, 2026; v1 submitted 15 May, 2026;
originally announced May 2026.
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Charge readout electronics for the DUNE horizontal drift far detector: design and performance in ProtoDUNE-HD
Authors:
DUNE Collaboration,
S. Abbaslu,
F. Abd Alrahman,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
K. Adhikari,
C. Adriano,
K. Agudelo-Jaramillo,
F. Akbar,
F. Alemanno,
N. S. Alex,
L. Aliaga Soplin,
A. Alqaisi,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
R. Amarinei
, et al. (1346 additional authors not shown)
Abstract:
DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon time projection chambers ever built. This detector design calls for custom-built cryogenic front-end electronics to meet its performance requirements. This paper describes the charge readout electronics that will be used i…
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DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon time projection chambers ever built. This detector design calls for custom-built cryogenic front-end electronics to meet its performance requirements. This paper describes the charge readout electronics that will be used in the DUNE horizontal drift (HD) far detector and presents performance results using data from the ProtoDUNE-HD detector, a 770 ton liquid argon time projection chamber operated at the CERN Neutrino Platform in 2024 that served as the final prototype of the DUNE HD design.
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Submitted 12 August, 2026; v1 submitted 26 April, 2026;
originally announced April 2026.
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Broadband impulsive stimulated Raman spectroscopy reveals electronic state-specific vibronic coupling and vibrational coherence transfer through nonadiabatic electronic coupling
Authors:
Ramandeep Kaur,
Shaina Dhamija,
Garima Bhutani,
Amit Kumar,
Arijit K. De
Abstract:
Vibrational wavepacket dynamics in the ground (X) and excited (B) electronic states of iodine under impulsive-pump/broadband-probe excitation are revisited. A method for accurate chirp correction, necessary to determine the zero time for each component of spectrally dispersed data and thereby separate coherent vibrational dynamics from coherent artifacts and population kinetics, is introduced. Whi…
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Vibrational wavepacket dynamics in the ground (X) and excited (B) electronic states of iodine under impulsive-pump/broadband-probe excitation are revisited. A method for accurate chirp correction, necessary to determine the zero time for each component of spectrally dispersed data and thereby separate coherent vibrational dynamics from coherent artifacts and population kinetics, is introduced. While from these processed time-domain data the absolute Raman cross-section in the ground electronic state can be calculated using steady-state absorption, we show that the same can be done using the pump-probe data itself, and further extend this method as a benchmark to calculate the same for the excited electronic state; these cross-sections report on vibronic couplings specific to these states. Further, since the Fourier transform of the processed data yields information on vibrational modes averaged over the dephasing time, a wavelet analysis is performed to yield a joint time-frequency distribution of the vibrational modes, demonstrating how the time evolution of their frequencies can be extracted. The vibrational modes of the ground and excited electronic states are shown to exhibit distinct dispersion characteristics. Since overlapping spectral features appear at different time windows, such an analysis can disentangle spectral congestion, even from a simple one-dimensional measurement. Most interestingly, a rapid time-dependent spectral shift and decay of the B state mode, followed by the appearance and growth of the A-state mode, directly correlates with the pre-dissociation, followed by solvent caging-induced recombination. Thus, the present work reveals transfer of vibrational coherence from one electronic state (B) to another (A), mediated via nonadiabatic coupling to the intermediate dissociative state (a), underscoring the importance of electronic coherence.
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Submitted 26 April, 2026;
originally announced April 2026.
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Comparing and Contrasting Vibrational Wavepacket Dynamics and Impulsive Stimulating Raman Scattering Descriptions of Pump-Probe Spectroscopy: A Theoretical Study
Authors:
Subho Mitra,
Arijit K. De
Abstract:
We simulate a third-order nonlinear signal in a pump-probe spectroscopy from the interference between first- and second-order wavepackets (WPs), as well as from a state-to-state transition for Stokes and coherent anti-Stokes pathways in the context of impulsive stimulated Raman scattering (ISRS) excitation. We present a detailed step-by-step description of both methods. The results obtained from t…
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We simulate a third-order nonlinear signal in a pump-probe spectroscopy from the interference between first- and second-order wavepackets (WPs), as well as from a state-to-state transition for Stokes and coherent anti-Stokes pathways in the context of impulsive stimulated Raman scattering (ISRS) excitation. We present a detailed step-by-step description of both methods. The results obtained from these two methods are compared and contrasted through simulations of the excited-state absorption signal. While within the ISRS framework, vibrational dynamics is often attributed primarily to coherences between adjacent vibrational levels in the excited electronic states, our results show that coherences involving non-adjacent vibrational levels needs to be calculated for a better agreement with the WP approach. We also show that for the specific choice of pump/probe spectral bandwidths, the coherent anti-Stokes pathway majorly contributes to the observed signal.
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Submitted 12 April, 2026;
originally announced April 2026.
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Scattering at Space-Time Interfaces between Dispersive Media
Authors:
Klaas De Kinder,
Christophe Caloz
Abstract:
Dynamic modulation of material properties in space and time enables powerful control over wave propagation, yet existing theories largely rely on idealized, nondispersive models. In realistic media, frequency dispersion can strongly reshape wave dynamics, especially near resonances in highly dispersive platforms such as epsilon-near-zero materials. Here, we develop a general frequency transition t…
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Dynamic modulation of material properties in space and time enables powerful control over wave propagation, yet existing theories largely rely on idealized, nondispersive models. In realistic media, frequency dispersion can strongly reshape wave dynamics, especially near resonances in highly dispersive platforms such as epsilon-near-zero materials. Here, we develop a general frequency transition theory for electromagnetic scattering at moving interfaces between dispersive media. From phase continuity, we derive nonlinear frequency transition relations and show that dispersion fundamentally reshapes the space-time scattering landscape, enabling additional propagating solutions with no counterpart in nondispersive systems. Applied to Drude, Lorentz and double-Drude media, the theory reveals how resonant dispersion, material loss and negative-index branches reorganize the scattering channels. For the two-wave scattering class, we further introduce a mixed-domain formulation that combines time-domain interface kinematics with frequency-domain constitutive relations, yielding closed-form scattering coefficients. These results establish a unified framework for dispersive space-time scattering and open opportunities for dispersion-based transition engineering in realistic materials.
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Submitted 17 June, 2026; v1 submitted 1 April, 2026;
originally announced April 2026.
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Adaptive Uncertainty-Guided Surrogates for Efficient phase field Modeling of Dendritic Solidification
Authors:
Eider Garate-Perez,
Kerman López de Calle-Etxabe,
Oihana Garcia,
Borja Calvo,
Meritxell Gómez-Omella,
Jon Lambarri
Abstract:
The high computational cost of phase field simulations remains a major limitation for predicting dendritic solidification in metals, particularly in additive manufacturing, where microstructural control is critical. This work presents a surrogate model for dendritic solidification that employs uncertainty-driven adaptive sampling with XGBoost and CNNs, including a self-supervised strategy, to effi…
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The high computational cost of phase field simulations remains a major limitation for predicting dendritic solidification in metals, particularly in additive manufacturing, where microstructural control is critical. This work presents a surrogate model for dendritic solidification that employs uncertainty-driven adaptive sampling with XGBoost and CNNs, including a self-supervised strategy, to efficiently approximate the spatio-temporal evolution while reducing costly phase field simulations. The proposed adaptive strategy leverages model uncertainty, approximated via Monte Carlo dropout for CNNs and bagging for XGBoost, to identify high-uncertainty regions where new samples are generated locally within hyperspheres, progressively refining the spatio-temporal design space and achieving accurate predictions with significantly fewer phase field simulations than an Optimal Latin Hypercube Sampling optimized via discrete Particle Swarm Optimization (OLHS-PSO). The framework systematically investigates how temporal instance selection, adaptive sampling, and the choice between domain-informed and data-driven surrogates affect spatio-temporal model performance. Evaluation considers not only computational cost but also the number of expensive phase field simulations, surrogate accuracy, and associated $CO_2$ emissions, providing a comprehensive assessment of model performance as well as their related environmental impact.
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Submitted 17 February, 2026;
originally announced March 2026.
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A Novel NPT Thermodynamic Integration Scheme to Derive Rigorous Gibbs Free Energies for Crystalline Solids
Authors:
Karel L. K. De Witte,
Tom Braeckevelt,
Massimo Bocus,
Sander Vandenhaute,
Veronique Van Speybroeck
Abstract:
Thermodynamic Integration (TI) is the state-of-the-art computational technique for accurate Gibbs free energy predictions of solids. Conventional TI schemes start from an NVT harmonic reference and require three successive corrections to recover the Gibbs free energy of the real crystal in the NPT ensemble. However, the NVT-to-NPT correction neglects full cell flexibility. Here, we present a rigor…
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Thermodynamic Integration (TI) is the state-of-the-art computational technique for accurate Gibbs free energy predictions of solids. Conventional TI schemes start from an NVT harmonic reference and require three successive corrections to recover the Gibbs free energy of the real crystal in the NPT ensemble. However, the NVT-to-NPT correction neglects full cell flexibility. Here, we present a rigorous (and only) two-step TI scheme that operates entirely in the NPT ensemble, eliminating the need for the approximate NVT-to-NPT step. The key methodological advancement is the novel NPT reference that explicitly accounts for full cell fluctuations. The new approach is compared with the conventional one via two complementary case studies. For ice polymorphs, having simple cell-shape distributions, the new approach reproduces conventional TI results with excellent agreement. For CsPbI3, whose black phase exhibits complex cell-shape behavior, we demonstrate that our novel method provides more accurate Gibbs free energy differences than the conventional one. Moreover, the proposed framework maintains comparable computational cost while offering a simplified workflow. Overall, the new NPT TI scheme provides rigorous and direct Gibbs free energy calculations for solids.
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Submitted 24 February, 2026;
originally announced February 2026.
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Cryogenic piezoelectric effects in thin film strontium titanate devices
Authors:
Ahmed Khalil,
Anja Ulrich,
Kamal Brahim,
Andries Boelen,
Danut-Valentin Dinu,
Halil Cuma,
Ioannis Petrides,
Sandeep Seema Saseendran,
Xavier Rottenberg,
Pol Van Dorpe,
Kristiaan De Greve,
Oskar Painter,
Clement Merckling,
Frédéric Peyskens,
Christian Haffner
Abstract:
Next generation quantum technologies will need to rely on efficient transduction between electrical, optical, and mechanical quantum degrees of freedom to generate large-scale entanglement over large distances. The performance of such transducers is fundamentally limited by the cryogenic properties of the underlying materials. Here, we demonstrate that engineering strain in ferroelectric thin-film…
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Next generation quantum technologies will need to rely on efficient transduction between electrical, optical, and mechanical quantum degrees of freedom to generate large-scale entanglement over large distances. The performance of such transducers is fundamentally limited by the cryogenic properties of the underlying materials. Here, we demonstrate that engineering strain in ferroelectric thin-film strontium titanate ($\mathrm{SrTiO_3}$) not only results in an exceptionally large Pockels coefficient, but also in a robust linear piezoelectric response at cryogenic temperatures, surpassing previous thin-film benchmarks. We measure piezoelectric tensor elements of $d_{15} = 151.8 \pm 1.5$ pm/V and $d_{33} = 54.8 \pm 4$ pm/V, and an effective photoelastic coefficient of $p_{\mathrm{eff}}$ = 0.56 at 5~K. Utilizing these enhanced properties, we demonstrate the first $\mathrm{SrTiO_3}$-on-oxide acousto-optic modulator with a voltage-length product ($V_πL$) of $0.874 \pm 0.084$ V cm, outperforming state-of-the-art unreleased modulators that typically feature a $V_πL$ of a few V cm. Our results establish thin-film $\mathrm{SrTiO_3}$ as a promising material system for integrated quantum photonics operating at cryogenic temperatures.
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Submitted 18 March, 2026; v1 submitted 19 February, 2026;
originally announced February 2026.
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Scattering at Interluminal Interfaces
Authors:
Zhiyu Li,
Klaas De Kinder,
Xikui Ma,
Christophe Caloz
Abstract:
Scattering at interluminal modulation interfaces, where a sharp space-time perturbation moves at a velocity lying between the wave velocities of the two surrounding media, has remained an open problem for decades. This regime is somewhat reminiscent of the Cherenkov regime, in which the velocity of a charged particle exceeds the phase velocity of light in a medium. However, because it involves two…
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Scattering at interluminal modulation interfaces, where a sharp space-time perturbation moves at a velocity lying between the wave velocities of the two surrounding media, has remained an open problem for decades. This regime is somewhat reminiscent of the Cherenkov regime, in which the velocity of a charged particle exceeds the phase velocity of light in a medium. However, because it involves two media and a moving interface, it gives rise to richer and more complex scattering dynamics, with a single scattered wave when the incident wave propagates in the same direction as the interface and three scattered waves when they propagate in opposite directions. Existing studies address only limited non-magnetic configurations, and a general formulation has yet to be established. In this paper, we present a complete and general solution to scattering in the interluminal regime using a symmetric decomposition approach based on subluminal and superluminal limit interfaces, together with a space-time impulse response. This approach provides clear physical insight into the scattering features of the interluminal regime. Our results bridge the long-standing gap between the subluminal and superluminal regimes and elucidate the fundamental mechanisms underlying interluminal scattering.
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Submitted 29 December, 2025;
originally announced January 2026.
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Internal Waves Control Bulk Flow in Silos
Authors:
David Luce,
Adrien Gans,
Nicolas Vandewalle,
Sébastien Kiesgen de Richter
Abstract:
We experimentally measure paticle acceleration within the bulk during the discharge of a granular silo. We highlight the existence of a deceleration wave emerging at the outlet level near the dead zone and propagates toward the top of the medium. The wave emission frequency is extracted from spatiotemporal diagrams of the Eulerian instantaneous acceleration profiles. Surprisingly, we find that thi…
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We experimentally measure paticle acceleration within the bulk during the discharge of a granular silo. We highlight the existence of a deceleration wave emerging at the outlet level near the dead zone and propagates toward the top of the medium. The wave emission frequency is extracted from spatiotemporal diagrams of the Eulerian instantaneous acceleration profiles. Surprisingly, we find that this frequency decreases with the cohesion of the medium and is independent of the outlet size.
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Submitted 19 December, 2025;
originally announced December 2025.
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Dispersion-Mediated Space-Time States
Authors:
Klaas De Kinder,
Christophe Caloz
Abstract:
Space-time varying media enable unprecedented control over electromagnetic waves, yet most existing studies assume idealized, nondispersive materials and thus fail to capture the intrinsic frequency dispersion of realistic platforms. Here, we develop a general framework for dispersive space-time varying systems that rigorously identifies the physically allowed frequency transitions of waves scatte…
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Space-time varying media enable unprecedented control over electromagnetic waves, yet most existing studies assume idealized, nondispersive materials and thus fail to capture the intrinsic frequency dispersion of realistic platforms. Here, we develop a general framework for dispersive space-time varying systems that rigorously identifies the physically allowed frequency transitions of waves scattered at moving interfaces. Unlike previous approaches, our method is valid for arbitrary dispersion profiles, including resonances, and does not rely on the commonly used frame hopping approach, allowing treatment of multiple-velocity and accelerated systems. Applying this framework to canonical Drude and Lorentz media, we uncover a family of dispersion-mediated space-time states that arise from the multiple frequency transitions permitted by material dispersion. These states extend beyond conventional nondispersive scattering, revealing qualitatively new regimes of space-time scattering behavior. Beyond the frequency transitions, we derive the scattering coefficients for dispersive moving interfaces and provide a Fourier-domain formulation that yields a complete electromagnetic scattering solution for both monochromatic waves and broadband pulses. Our results establish a rigorous foundation for the design of realistic space-time metamaterials, with immediate relevance to emerging experiments in epsilon-near-zero optical platforms and open pathways for dispersion-engineered wave manipulation.
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Submitted 15 December, 2025; v1 submitted 1 December, 2025;
originally announced December 2025.
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Fewest switches surface hopping with decoherence in the Marcus inverted regime: correct rates but wrong thermal populations
Authors:
Manas Nagda,
Priyam Kumar De,
Amber Jain
Abstract:
Fewest switches surface hopping (FSSH) is a well benchmarked dynamical method for simulating nonadiabatic systems. In particular, the literature shows that for the spin-Boson model Hamiltonian, FSSH with appropriate corrections usually captures the detailed balance well and obtains rate constants within a factor of 2 compared to numerically exact results. In this study, we show that in the deep in…
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Fewest switches surface hopping (FSSH) is a well benchmarked dynamical method for simulating nonadiabatic systems. In particular, the literature shows that for the spin-Boson model Hamiltonian, FSSH with appropriate corrections usually captures the detailed balance well and obtains rate constants within a factor of 2 compared to numerically exact results. In this study, we show that in the deep inverted Marcus regime, the augmented-FSSH (AFSSH, one version that includes decoherence) yields reasonably accurate rate constants but incorrect thermal populations over a broad range of parameters. We present an analytical derivation to understand the AFSSH behavior, and therefore, show that AFSSH obtains correct rate constants owing to the resonance of the time derivative coupling with the exothermicity, but obtains an incorrect thermal population owing to the self-consistency issue. The presented derivation provides an analytical expression for the quantum correction factor for AFSSH simulations in the Marcus inverted regime.
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Submitted 22 November, 2025;
originally announced November 2025.
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Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics
Authors:
Jonas E. Katona,
Emily K. de Jong,
Nipun Gunawardena
Abstract:
Reduced-order models (ROMs) can efficiently simulate high-dimensional physical systems but lack robust uncertainty quantification methods. Existing approaches are frequently architecture- or training-specific, which limits flexibility and generalization. We introduce a post hoc, model-agnostic framework for predictive uncertainty quantification in latent space ROMs that requires no modification to…
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Reduced-order models (ROMs) can efficiently simulate high-dimensional physical systems but lack robust uncertainty quantification methods. Existing approaches are frequently architecture- or training-specific, which limits flexibility and generalization. We introduce a post hoc, model-agnostic framework for predictive uncertainty quantification in latent space ROMs that requires no modification to the underlying architecture or training procedure. Using conformal prediction, our approach estimates statistical prediction intervals for multiple components of the ROM pipeline: latent dynamics, reconstruction, and end-to-end predictions. We demonstrate the method on a latent space dynamical model for cloud microphysics, where it accurately predicts the evolution of droplet-size distributions and quantifies uncertainty across the ROM pipeline.
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Submitted 14 November, 2025; v1 submitted 6 November, 2025;
originally announced November 2025.
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Broadband Magnetless Isolation in a Flux-Pumped, Dispersion-Engineered Transmission Line
Authors:
M. Demarets,
A. M. Vadiraj,
C. Caloz,
K. De Greve
Abstract:
Isolators are commonly found in the amplification chain of microwave setups to shield sensitive devices such as superconducting qubits from noise and back-scattered signals. Conventional ferrite-based isolators are bulky, lossy and rely on strong magnetic fields, which pose challenges for their co-integration in large-scale superconducting devices. Although several magnetless approaches based on p…
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Isolators are commonly found in the amplification chain of microwave setups to shield sensitive devices such as superconducting qubits from noise and back-scattered signals. Conventional ferrite-based isolators are bulky, lossy and rely on strong magnetic fields, which pose challenges for their co-integration in large-scale superconducting devices. Although several magnetless approaches based on parametric modulation have been explored to overcome these limitations, none has yet experimentally demonstrated wideband isolation on par with ferrite devices. Here, we propose a compact modulation-based isolator that achieves large isolation bandwidth using a dispersion-engineered transmission line. The engineered line forms an effective two-mode system that enables broadband isolation by supporting adiabatic mode conversion over a wide instantaneous bandwidth. Numerical simulations show that this architecture can provide more than 20 dB isolation across 4 - 8 GHz, matching the performance of ferrite-based isolators. Moreover, we propose an on-chip superconducting device implementation that shows promise against parameter variations and enables a scalable path for co-integration with future large-scale superconducting systems.
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Submitted 27 March, 2026; v1 submitted 29 September, 2025;
originally announced September 2025.
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Space-Time Graded-Index Interfaces and Related Chirping
Authors:
Zhiyu Li,
Xikui Ma,
Klaas De Kinder,
Amir Bahrami,
Christophe Caloz
Abstract:
Space-time modulated systems have recently emerged as a powerful platform for dynamic electromagnetic processing in both space and time. Most of the related research so far has assumed abrupt parameter profiles. This paper extends the field to generalized graded-index (GRIN) interfaces, which are both more practical than ideal profiles and offer new avenues for wave manipulations. It presents an e…
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Space-time modulated systems have recently emerged as a powerful platform for dynamic electromagnetic processing in both space and time. Most of the related research so far has assumed abrupt parameter profiles. This paper extends the field to generalized graded-index (GRIN) interfaces, which are both more practical than ideal profiles and offer new avenues for wave manipulations. It presents an exact solution for wave propagation across arbitrary space-time modulated GRIN interfaces and describes versatile chirping effects. The solution is based on a generalization of the impulse response method from linear time-invariant to linear space-time-varying systems. The proposed framework shows that space-time GRIN systems represent a novel approach for generating a new form of chirping that is not inherently based on dispersion, with promising applications in pulse shaping and signal processing.
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Submitted 11 July, 2025;
originally announced September 2025.
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Detection of New Auroral Emissions at Io and Implications for Its Interaction with the Plasma Torus
Authors:
Zachariah Milby,
Katherine de Kleer,
Carl Schmidt
Abstract:
We observed Io's optical aurora in eclipse on six nights between 2022 and 2024 using Keck I/HIRES. Spectra revealed 13 new auroral emissions not identified previously, tripling the total number of optical emissions lines detected at Io. These included the O I lines at 777.4 and 844.6 nm, the Na I lines at 818.3 and 819.5 nm, the [S I] lines at 458.9 and 772.5 nm, the S I triplet at 922.3 nm, the […
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We observed Io's optical aurora in eclipse on six nights between 2022 and 2024 using Keck I/HIRES. Spectra revealed 13 new auroral emissions not identified previously, tripling the total number of optical emissions lines detected at Io. These included the O I lines at 777.4 and 844.6 nm, the Na I lines at 818.3 and 819.5 nm, the [S I] lines at 458.9 and 772.5 nm, the S I triplet at 922.3 nm, the [O II] lines at 732.0 and 733.0 nm and the [S II] lines at 406.9, 407.6, 671.6 and 673.1 nm. We leveraged these new detections by comparing with imaging data from the 2001 Cassini flyby to better understand the distribution of atmospheric species and their contribution to the observed auroral brightnesses. Our auroral emission model showed that the observed 557.7, 777.4 and 844.6 nm oxygen emission line brightnesses could be explained by excitation by electron impact of canonical 5 eV torus electrons on an atmosphere composed of O, SO2 and an isoelectronic proxy for SO. The SO2 emission did not decrease immediately after eclipse ingress, suggesting the emitting column may be restricted to higher altitudes. The derived O/SO2 mixing ratio was typically about 10%, but it also exhibited order-of-magnitude variance during some observations. Io's 630.0 nm [O I] brightness did not strongly vary with plasma sheet distance, suggesting electron flux at Io varies substantially beyond model predictions.
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Submitted 6 August, 2025;
originally announced August 2025.
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The LED calibration systems for the mDOM and D-Egg sensor modules of the IceCube Upgrade
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
S. K. Agarwalla,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
S. Ali,
N. M. Amin,
K. Andeen,
C. Argüelles,
Y. Ashida,
S. Athanasiadou,
S. N. Axani,
R. Babu,
X. Bai,
J. Baines-Holmes,
A. Balagopal V.,
S. W. Barwick,
S. Bash,
V. Basu,
R. Bay,
J. J. Beatty,
J. Becker Tjus,
P. Behrens
, et al. (410 additional authors not shown)
Abstract:
The IceCube Neutrino Observatory, instrumenting about 1 km$^3$ of deep, glacial ice at the geographic South Pole, is due to be enhanced with the IceCube Upgrade. The IceCube Upgrade, to be deployed during the 2025/26 Antarctic summer season, will consist of seven new strings of photosensors, densely embedded near the bottom center of the existing array. Aside from a world-leading sensitivity to ne…
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The IceCube Neutrino Observatory, instrumenting about 1 km$^3$ of deep, glacial ice at the geographic South Pole, is due to be enhanced with the IceCube Upgrade. The IceCube Upgrade, to be deployed during the 2025/26 Antarctic summer season, will consist of seven new strings of photosensors, densely embedded near the bottom center of the existing array. Aside from a world-leading sensitivity to neutrino oscillations, a primary goal is the improvement of the calibration of the optical properties of the instrumented ice. These will be applied to the entire archive of IceCube data, improving the angular and energy resolution of the detected neutrino events. For this purpose, the Upgrade strings include a host of new calibration devices. Aside from dedicated calibration modules, several thousand LED flashers have been incorporated into the photosensor modules. We describe the design, production, and testing of these LED flashers before their integration into the sensor modules as well as the use of the LED flashers during lab testing of assembled sensor modules.
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Submitted 5 August, 2025;
originally announced August 2025.
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The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)
Authors:
Jaime Álvarez-Muñiz,
Rafael Alves Batista,
Aurélien Benoit-Lévy,
Teresa Bister,
Martina Bohacova,
Mauricio Bustamante,
Washington Carvalho Jr.,
Yiren Chen,
LingMei Cheng,
Simon Chiche,
Jean-Marc Colley,
Pablo Correa,
Nicoleta Cucu Laurenciu,
Zigao Dai,
Rogerio M. de Almeida,
Beatriz de Errico,
João R. T. de Mello Neto,
Krijn D. de Vries,
Valentin Decoene,
Peter B. Denton,
Bohao Duan,
Kaikai Duan,
Ralph Engel,
William Erba,
Yizhong Fan
, et al. (113 additional authors not shown)
Abstract:
The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses large surface arrays of antennas to look for the radio emission from extensive air showers that are triggered by the interaction of ultra-high-energy cosmic rays, gamma rays, and neutrinos in the atmosphere or underground.…
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The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses large surface arrays of antennas to look for the radio emission from extensive air showers that are triggered by the interaction of ultra-high-energy cosmic rays, gamma rays, and neutrinos in the atmosphere or underground. In particular, for ultra-high-energy neutrinos, the future final phase of GRAND aims to be sensitive enough to detect them in spite of their plausibly tiny flux. Three prototype GRAND radio arrays have been in operation since 2023: GRANDProto300, in China, GRAND@Auger, in Argentina, and GRAND@Nançay, in France. Their goals are to field-test the GRAND detection units, understand the radio background to which they are exposed, and develop tools for diagnostic, data gathering, and data analysis. This list of contributions to the 39th International Cosmic Ray Conference (ICRC 2025) presents an overview of GRAND, in its present and future incarnations, and a first look at data collected by GRANDProto300 and GRAND@Auger, including the first cosmic-ray candidates detected by them.
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Submitted 13 July, 2025;
originally announced July 2025.
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Graphene Heterostructure-Based Non-Volatile Memory Devices with Top Floating Gate Programming
Authors:
Gabriel L. Rodrigues,
Ana B. Yoshida,
Guilherme S. Selmi,
Nickolas T. K. B de Jesus,
Igor Ricardo,
Kenji Watanabe,
Takashi Taniguchi,
Rafael F. de Oliveira,
Victor Lopez-Richard,
Alisson R. Cadore
Abstract:
We present a graphene-based memory platform built on dual-gated field-effect transistors (GFETs). By integrating a lithographically defined metal patch directly atop the hexagonal boron nitride (hBN)-graphene channel, the device functions simultaneously as a top gate, floating gate (FG) reservoir, and active reset contact. This architecture forms an ultrathin van der Waals heterostructure with str…
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We present a graphene-based memory platform built on dual-gated field-effect transistors (GFETs). By integrating a lithographically defined metal patch directly atop the hexagonal boron nitride (hBN)-graphene channel, the device functions simultaneously as a top gate, floating gate (FG) reservoir, and active reset contact. This architecture forms an ultrathin van der Waals heterostructure with strong capacitive coupling to the back-gate, confirmed by a dynamic model, enabling a tunable and wide memory window that scales with back-gate voltage and is further enhanced by reducing hBN thickness or increasing FG area. Our devices demonstrate reversible, high-efficiency charge programming, robust non-volatile behavior across 10 to 300 K and a wide range of operation speeds, and endurance beyond 9800 cycles. Importantly, a grounded top electrode provides on-demand charge erasure, offering functionality that is absent in standard FG designs. These results position hBN/graphene-based GFETs as a compact, energy-efficient platform for next-generation 2D flash memory, with implications for multilevel memory schemes and cryogenic electronics.
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Submitted 10 July, 2025;
originally announced July 2025.
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Scattering and Chirping at Accelerated Interfaces
Authors:
Klaas De Kinder,
Amir Bahrami,
Christophe Caloz
Abstract:
Space-time varying media with moving interfaces unlock new ways to manipulate electromagnetic waves. Yet, analytical solutions have been mostly limited to interfaces moving at constant velocity or constant proper acceleration. Here, we present exact scattering solutions for an arbitrarily accelerating interface, derived directly in the laboratory frame through a suitable change of variables. We sh…
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Space-time varying media with moving interfaces unlock new ways to manipulate electromagnetic waves. Yet, analytical solutions have been mostly limited to interfaces moving at constant velocity or constant proper acceleration. Here, we present exact scattering solutions for an arbitrarily accelerating interface, derived directly in the laboratory frame through a suitable change of variables. We show that acceleration introduces rich effects that do not occur with uniform motion, including transitions between multiple velocity regimes, multiple scattering events and generalized frequency chirping. We also solve the inverse problem of designing an interface trajectory that produces a desired chirping profile, demonstrating how tailored acceleration can synthesize complex frequency modulations. These results provide a fundamental framework to understand and control wave interactions with accelerated boundaries, opening pathways for advanced applications in space-time signal processing and dynamic pulse shaping.
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Submitted 9 October, 2025; v1 submitted 24 June, 2025;
originally announced June 2025.
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Doppler Pulse Amplification
Authors:
Klaas De Kinder,
Amir Bahrami,
Christophe Caloz
Abstract:
The ability to amplify ultrashort pulses has revolutionized modern laser science, driving advances in various fields such as ultrafast optics and spectroscopy. A pivotal development in this field is chirped pulse amplification (CPA), which stretches, amplifies and recompresses ultrashort optical pulses using dispersive elements to overcome amplification limits. However, CPA faces limitations due t…
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The ability to amplify ultrashort pulses has revolutionized modern laser science, driving advances in various fields such as ultrafast optics and spectroscopy. A pivotal development in this field is chirped pulse amplification (CPA), which stretches, amplifies and recompresses ultrashort optical pulses using dispersive elements to overcome amplification limits. However, CPA faces limitations due to gain narrowing, restricting the final pulse duration. Here, we propose Doppler pulse amplification (DoPA), a novel approach for amplifying ultrashort pulses. While DoPA shares similarities with CPA in that it also stretches, amplifies and recompresses pulses, it differs in how it achieves this temporal compansion. Unlike CPA, DoPA exploits Doppler shifts induced by space-time modulated interfaces through a space-time wedge implementation without chirping. We show that DoPA dynamically shifts the pulse spectrum, effectively mitigating the gain narrowing issue of CPA. Additionally, we show that DoPA enables more compact amplification systems via a space-time Fresnel implementation. This approach may pave the way for more efficient, high-intensity laser systems and expand the potential for applications in both laboratory research and practical environments.
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Submitted 31 July, 2025; v1 submitted 2 June, 2025;
originally announced June 2025.
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Periodic feature characterization in nanostructured surfaces and emulsions
Authors:
André Guerra,
Ziheng Wang,
Samuel Mathews,
Alejandro D. Rey,
Kevin De France
Abstract:
Understanding structure-function relationships is essential to advance the manufacturing of next-gen materials with desired properties and functionalities. Precise and rapid measurement of features like wrinkle size, droplet diameter, and surface roughness is essential to establishing such structure-function relationships. To this end, this work developed feature size and surface morphology charac…
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Understanding structure-function relationships is essential to advance the manufacturing of next-gen materials with desired properties and functionalities. Precise and rapid measurement of features like wrinkle size, droplet diameter, and surface roughness is essential to establishing such structure-function relationships. To this end, this work developed feature size and surface morphology characterizations through image analysis in Python and validated them with both synthetic and experimental images. Manual measurements of bio-based surfaces resulted in between 3.3% (N=50, visually simple) and 51.2% error (N=100, visually complex) compared to Python analysis results. This analysis was also used to accurately distinguish multiple feature size populations in a given image (which were missed entirely in manual measurements), and to determine the skewness and kurtosis of biological surfaces in a surface roughness map. This work contributes to a larger goal of developing a robust and computationally cheap platform to analyze complex materials to accelerate structure-function discovery.
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Submitted 6 May, 2025;
originally announced May 2025.
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Investigation of Low Frequency Noise in CryoCMOS devices through Statistical Single Defect Spectroscopy
Authors:
Edoardo Catapano,
Anirudh Varanasi,
Philippe Roussel,
Robin Degraeve,
Yusuke Higashi,
Ruben Asanovski,
Ben Kaczer,
Javier Diaz Fortuny,
Michael Waltl,
Valeri Afanasiev,
Kristiaan De Greve,
Alexander Grill
Abstract:
High 1/f noise in CryoCMOS devices is a critical parameter to keep under control in the design of complex circuits for low temperatures applications. Current models predict the 1/f noise to scale linearly with temperature, and gate oxide defects are expected to freeze out at cryogenic temperatures. Nevertheless, it has been repeatedly observed that 1/f noise deviates from the predicted behaviour a…
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High 1/f noise in CryoCMOS devices is a critical parameter to keep under control in the design of complex circuits for low temperatures applications. Current models predict the 1/f noise to scale linearly with temperature, and gate oxide defects are expected to freeze out at cryogenic temperatures. Nevertheless, it has been repeatedly observed that 1/f noise deviates from the predicted behaviour and that gate oxide defects are still active around 4.2 K, producing random telegraph noise. In this paper, we probe single gate oxide defects in 2500 nMOS devices down to 5 K in order to investigate the origin of 1/f noise in CryoCMOS devices. From our results, it is clear that the number of defects active at cryogenic temperatures resulting in random telegraph noise is larger than at 300 K. Threshold voltage shifts due to charged defects are shown to be exponentially distributed, with different modalities across temperatures and biases: from monomodal at 300 K to trimodal below 100 K. The third mode is interpreted in the framework of percolation theory. By fitting these distributions, it is shown that more than 80% of the detected defects belongs to the oxide bulk. Afterwards, starting from the raw data in time domain, we reconstruct the low frequency noise spectra, highlighting the contributions of defects belonging to different branches and, therefore, to different oxide layers. This analysis shows that, although interface traps and large defects associated with the third mode are the main sources of 1/f noise at 5 K, bulk oxide defects still contribute significantly to low-frequency noise at cryogenic temperatures. Finally, we show that defect time constants and step heights are uncorrelated, proving that elastic tunnelling model for charge trapping is not accurate.
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Submitted 23 October, 2025; v1 submitted 6 May, 2025;
originally announced May 2025.
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The CMS Barrel Timing Layer: test beam confirmation of module timing performance
Authors:
F. Addesa,
P. Akrap,
A. Albert,
B. Allmond,
T. Anderson,
J. Babbar,
D. Baranyai,
P. Barria,
C. Basile,
A. Benaglia,
A. Benato,
M. Benettoni,
M. Besancon,
N. Bez,
S. Bhattacharya,
R. Bianco,
D. Blend,
A. Boletti,
A. Bornheim,
R. Bugalho,
A. Bulla,
B. Cardwell,
R. Carlin,
M. Casarsa,
F. Cetorelli
, et al. (105 additional authors not shown)
Abstract:
First of its kind, the barrel section of the MIP Timing Detector is a large area timing detector based on LYSO:Ce crystals and SiPMs which are required to operate in an unprecedentedly harsh radiation environment (up to an integrated fluence of $2\times10^{14}$ 1 MeV $n_{eq}/cm^2$). It is designed as a key element of the upgrade of the existing CMS detector to provide a time resolution for minimum…
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First of its kind, the barrel section of the MIP Timing Detector is a large area timing detector based on LYSO:Ce crystals and SiPMs which are required to operate in an unprecedentedly harsh radiation environment (up to an integrated fluence of $2\times10^{14}$ 1 MeV $n_{eq}/cm^2$). It is designed as a key element of the upgrade of the existing CMS detector to provide a time resolution for minimum ionizing particles in the range between 30-60 ps throughout the entire operation at the High Luminosity LHC. A thorough optimization of its components has led to the final detector module layout which exploits 25 $\rm μm$ cell size SiPMs and 3.75 mm thick crystals. This design achieved the target performance in a series of test beam campaigns. In this paper we present test beam results which demonstrate the desired performance of detector modules in terms of radiation tolerance, time resolution and response uniformity.
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Submitted 15 April, 2025;
originally announced April 2025.
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Radio frequency single electron transmission spectroscopy of a semiconductor Si/SiGe quantum dot
Authors:
I. Fattal,
J. Van Damme,
B. Raes,
C. Godfrin,
G. Jaliel,
K. Chen,
T. Van Caekenberghe,
A. Loenders,
S. Kubicek,
S. Massar,
Y. Canvel,
J. Jussot,
Y. Shimura,
R. Loo,
D. Wan,
M. Mongillo,
K. De Greve
Abstract:
Rapid single shot spin readout is a key ingredient for fault tolerant quantum computing with spin qubits. An RF-SET (radio-frequency single electron transistor) is predominantly used as its the readout timescale is far shorter than the spin decoherence time. In this work, we experimentally demonstrate a transmission-based RF-SET using a multi-module semiconductor-superconductor assembly. A monolit…
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Rapid single shot spin readout is a key ingredient for fault tolerant quantum computing with spin qubits. An RF-SET (radio-frequency single electron transistor) is predominantly used as its the readout timescale is far shorter than the spin decoherence time. In this work, we experimentally demonstrate a transmission-based RF-SET using a multi-module semiconductor-superconductor assembly. A monolithically integrated SET placed next to a double quantum dot in a Si/SiGe heterostructure is wire-bonded to a superconducting niobium inductor forming the impedance-transforming network. Compared to RF reflectometry, the proposed set-up is experimentally simpler without the need for directional couplers. Read-out performance is benchmarked by the signal-to-noise (SNR) of a dot-reservoir transition (DRT) and an interdot charge transition (ICT) in the double quantum dot near the SET as a function of RF power and integration time. The minimum integration time for unitary SNR is found to be 100 ns for ICT and 300 ns for DRT. The obtained minimum integration times are comparable to the state of the art in conventional RF reflectometry set-ups. Furthermore, we study the turn-on properties of the RF-SET to investigate capacitive shifts and RF losses. Understanding these effects are crucial for further optimisations of the impedance transforming network as well as the device design to assist RF read-out. This new RF read-out scheme also shows promise for multiplexing spin-qubit readout and further studies on rapid charge dynamics in quantum dots.
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Submitted 7 April, 2025;
originally announced April 2025.
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Probing the Firn Refractive Index Profile Using Antenna Response
Authors:
S. Agarwal,
J. A. Aguilar,
N. Alden,
S. Ali,
P. Allison,
M. Betts,
D. Besson,
A. Bishop,
O. Botner,
S. Bouma,
S. Buitink,
R. Camphyn,
S. Chiche,
B. A. Clark,
A. Coleman,
K. Couberly,
S. de Kockere,
K. D. de Vries,
C. Deaconu,
P. Giri,
C. Glaser,
T. Glusenkamp,
A. Hallgren,
S. Hallmann,
J. C. Hanson
, et al. (48 additional authors not shown)
Abstract:
The Radio Neutrino Observatory-Greenland (RNO-G, at Summit Station) experiment comprises an extensive fat-dipole antenna array deployed into ice boreholes over an eventual area of approximately 35 ${\rm km}^2$. Since the RNO-G experimental sensitivity depends on the radio-frequency properties of the firn, which are known to vary laterally on sub-km distance scales and vertically on sub-meter dista…
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The Radio Neutrino Observatory-Greenland (RNO-G, at Summit Station) experiment comprises an extensive fat-dipole antenna array deployed into ice boreholes over an eventual area of approximately 35 ${\rm km}^2$. Since the RNO-G experimental sensitivity depends on the radio-frequency properties of the firn, which are known to vary laterally on sub-km distance scales and vertically on sub-meter distance scales, a technique for quickly extracting information on firn ice properties with depth ($n(z)$) during drilling and deployment is desirable. Given that a dipole's resonant wavelength is fixed by geometry, the resonant frequency $f_{res}$ (measured as an S-parameter reflection coefficient [`$S_{11}$'] minimum) scales inversely with the local refractive index, allowing a translation of a depth-dependent $S_{11}$(z) profile into $n(z)$. $S_{11}$(z) data were initially taken in August, 2024 using a dipole lowered into a newly-drilled $98\pm 1$-mm diameter, 350-m deep borehole at Summit Station, Greenland, approximately 1 km from the site of the original GISP-2 core; improved measurements were subsequently made in May, 2025. We conclude that $S_{11}$(z) data can be used to estimate \RIP, on 50 cm vertical scales, at the per-cent level of accuracy required by experiments such as RN0-G.
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Submitted 17 December, 2025; v1 submitted 4 April, 2025;
originally announced April 2025.
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Orbit Determination through Cosmic Microwave Background Radiation
Authors:
Pedro K de Albuquerque,
Andre R Kuroswiski,
Annie S. Wu,
Willer G. dos Santos,
Paulo Costa
Abstract:
This research explores the use of Cosmic Microwave Background (CMB) radiation as a reference signal for Initial Orbit Determination (IOD). By leveraging the unique properties of CMB, this study introduces a novel method for estimating spacecraft velocity and position with minimal reliance on pre-existing environmental data, offering significant advantages for space missions independent of Earth-sp…
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This research explores the use of Cosmic Microwave Background (CMB) radiation as a reference signal for Initial Orbit Determination (IOD). By leveraging the unique properties of CMB, this study introduces a novel method for estimating spacecraft velocity and position with minimal reliance on pre-existing environmental data, offering significant advantages for space missions independent of Earth-specific conditions. Using Machine Learning (ML) regression models, this approach demonstrates the capability to determine velocity from CMB signals and subsequently determine the satellite's position. The results indicate that CMB has the potential to enhance the autonomy and flexibility of spacecraft operations.
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Submitted 2 April, 2025;
originally announced April 2025.
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Engineering high Pockels coefficients in thin-film strontium titanate for cryogenic quantum electro-optic applications
Authors:
Anja Ulrich,
Kamal Brahim,
Andries Boelen,
Michiel Debaets,
Conglin Sun,
Yishu Huang,
Sandeep Seema Saseendran,
Marina Baryshnikova,
Paola Favia,
Thomas Nuytten,
Stefanie Sergeant,
Kasper Van Gasse,
Bart Kuyken,
Kristiaan De Greve,
Clement Merckling,
Christian Haffner
Abstract:
Materials which exhibit the Pockels effect are notable for their strong electro-optic interaction and rapid response times and are therefore used extensively in classical electro-optic components for data and telecommunication applications. Yet many materials optimized for room-temperature operation see their Pockels coefficients at cryogenic temperatures significantly reduced - a major hurdle for…
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Materials which exhibit the Pockels effect are notable for their strong electro-optic interaction and rapid response times and are therefore used extensively in classical electro-optic components for data and telecommunication applications. Yet many materials optimized for room-temperature operation see their Pockels coefficients at cryogenic temperatures significantly reduced - a major hurdle for emerging quantum technologies which have even more rigorous demands than their classical counterpart. A noted example is $\mathrm{BaTiO_3}$, which features the strongest effective Pockels coefficient at room temperature, only to see it reduced to a third (i.e. $\mathrm{r_{eff}} \approx$ 170 pm/V) at a few Kelvin. Here, we show that this behaviour is not inherent and can even be reversed: Strontium titanate ($\mathrm{SrTiO_3}$), a material normally not featuring a Pockels coefficient, can be engineered to exhibit an $\mathrm{r_{eff}}$ of 345 pm/V at cryogenic temperatures - a record value in any thin-film electro-optic material. By adjusting the stoichiometry, we can increase the Curie temperature and realise a ferroelectric phase that yields a high Pockels coefficient, yet with limited optical losses - on the order of decibels per centimetre. Our findings position $\mathrm{SrTiO_3}$ as one of the most promising materials for cryogenic quantum photonics applications.
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Submitted 8 March, 2025; v1 submitted 20 February, 2025;
originally announced February 2025.
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Carbon Trapping Efficiency of Hydropower Reservoirs under the Influence of a Tropical Climate
Authors:
Marco Aurelio dos Santos,
Bohdan Matvienko,
Elizabeth Sikar,
Jorge Machado Damazio,
Marcelo Andrade Amorim,
Marcela Vidal,
Marcos Manoel Ferreira,
Karen de Jesus,
Gustavo Couto,
Daniel Sikar
Abstract:
Sedimentation in hydroelectric reservoirs is strongly impacted by anthropogenic activities within their upstream drainage basins. These activities, encompassing soil erosion and various other human-induced actions, have significant consequences for sedimentation patterns. This issue has been a subject of prolonged study, as sedimentation directly undermines the water storage capacity of reservoirs…
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Sedimentation in hydroelectric reservoirs is strongly impacted by anthropogenic activities within their upstream drainage basins. These activities, encompassing soil erosion and various other human-induced actions, have significant consequences for sedimentation patterns. This issue has been a subject of prolonged study, as sedimentation directly undermines the water storage capacity of reservoirs, consequently diminishing the overall efficiency of hydroelectric operations. Several scientists have dedicated their efforts to addressing the matter of reservoir sedimentation. This pursuit has led to the formulation of an indicator known as Sediment Trap Efficiency (STE), serving as a metric that quantifies the proportion of sedimentation within reservoirs relative to the influx of sediment from their upstream sources. This study seeks to present findings pertaining to carbon trapping efficiency observed across seven hydroelectric reservoirs in Brazil. The objective is to demonstrate the substantial relevance of carbon accumulation within these aquatic environments within the context of the carbon balance frameworks previously established.
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Submitted 2 January, 2025;
originally announced January 2025.
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Cross-sectional Topology Optimization of Slender Soft Pneumatic Actuators using Genetic Algorithms and Geometrically Exact Beam Models
Authors:
Leon Schindler,
Kristin Miriam de Payrebrune
Abstract:
The design of soft robots is still commonly driven by manual trial-and-error approaches, requiring the manufacturing of multiple physical prototypes, which in the end, is time-consuming and requires significant expertise. To reduce the number of manual interventions in this process, topology optimization can be used to assist the design process. The design is then guided by simulations and numerou…
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The design of soft robots is still commonly driven by manual trial-and-error approaches, requiring the manufacturing of multiple physical prototypes, which in the end, is time-consuming and requires significant expertise. To reduce the number of manual interventions in this process, topology optimization can be used to assist the design process. The design is then guided by simulations and numerous prototypes can be tested in simulation rather than being evaluated through laborious experiments. To implement this simulation-driven design process, the possible design space of a slender soft pneumatic actuator is generalized to the design of the circular cross-section. We perform a black-box topology optimization using genetic algorithms to obtain a cross-sectional design of a soft pneumatic actuator that is capable of reaching a target workspace defined by the end-effector positions at different pressure values. This design method is evaluated for three different case studies and target workspaces, which were either randomly generated or specified by the operator of the design assistant. The black-box topology optimization based on genetic algorithms proves to be capable of finding good designs under given plausible target workspaces. We considered a simplified simulation model to verify the efficacy of the employed method. An experimental validation has not yet been performed. It can be concluded that the employed black-box topology optimization can assist in the design process for slender soft pneumatic actuators. It supports at searching for possible design prototypes that reach points specified by corresponding actuation pressures. This helps reduce the trial-and-error driven iterative manual design process and enables the operator to focus on prototypes that already offer a good viable solution.
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Submitted 20 December, 2024;
originally announced December 2024.
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Io's SO2 and NaCl Wind Fields From ALMA
Authors:
Alexander E. Thelen,
Katherine de Kleer,
Martin A. Cordiner,
Imke de Pater,
Arielle Moullet,
Statia Luszcz-Cook
Abstract:
We present spatially resolved measurements of SO$_2$ and NaCl winds on Io at several unique points in its orbit: before and after eclipse, and at maximum eastern and western elongation. The derived wind fields represent a unique case of meteorology in a rarified, volcanic atmosphere. Through the use of Doppler shift measurements in emission spectra obtained with the Atacama Large Millimeter/submil…
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We present spatially resolved measurements of SO$_2$ and NaCl winds on Io at several unique points in its orbit: before and after eclipse, and at maximum eastern and western elongation. The derived wind fields represent a unique case of meteorology in a rarified, volcanic atmosphere. Through the use of Doppler shift measurements in emission spectra obtained with the Atacama Large Millimeter/submillimeter Array (ALMA) between $\sim346$-430GHz ($\sim0.70$-0.87 mm), line-of-sight winds up to $\sim-100$ m s$^{-1}$ in the approaching direction and >250 m s$^{-1}$ in the receding direction were derived for SO$_2$ at altitudes of $\sim10$-50 km, while NaCl winds consistently reached $\sim$|150-200| m s$^{-1}$ in localized regions up to $\sim30$ km above the surface. The wind distributions measured at maximum east and west Jovian elongations, and on the subJovian hemisphere pre- and post-eclipse, were found to be significantly different and complex, corroborating the results of simulations that include surface temperature and frost distribution, volcanic activity, and interactions with the Jovian magnetosphere. Further, the wind speeds of SO$_2$ and NaCl are often inconsistent in direction and magnitude, indicating that the processes that drive the winds for the two molecular species are different and potentially uncoupled; while the SO$_2$ wind field can be explained through a combination of sublimation-driven winds, plasma torus interactions, and plume activity, the NaCl winds appear to be primarily driven by the plasma torus.
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Submitted 9 December, 2024;
originally announced December 2024.
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Space-Time Wedges
Authors:
Amir Bahrami,
Klaas De Kinder,
Zhiyu Li,
Christophe Caloz
Abstract:
Space-time-modulated systems have attracted significant interest over the past decade due to their ability to manipulate electromagnetic waves in unprecedented ways. Here, we introduce a new type of space-time-modulated structure, the space-time wedge, consisting of two interfaces moving at different velocities, which results in either closing or opening wedges. Using moving boundary conditions, w…
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Space-time-modulated systems have attracted significant interest over the past decade due to their ability to manipulate electromagnetic waves in unprecedented ways. Here, we introduce a new type of space-time-modulated structure, the space-time wedge, consisting of two interfaces moving at different velocities, which results in either closing or opening wedges. Using moving boundary conditions, we derive closed-form solutions for the scattering of electromagnetic waves in such a wedge and leverage these solutions to unveil the underlying physics, including multiple space-time scattering and Doppler shifting. The space-time wedge holds potential for various optical and photonic applications.
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Submitted 8 October, 2024;
originally announced October 2024.
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Optimization of LYSO crystals and SiPM parameters for the CMS MIP timing detector
Authors:
F. Addesa,
T. Anderson,
P. Barria,
C. Basile,
A. Benaglia,
R. Bertoni,
A. Bethani,
R. Bianco,
A. Bornheim,
G. Boldrini,
A. Boletti,
A. Bulla,
M. Campana,
B. Cardwell,
P. Carniti,
F. Cetorelli,
F. De Guio,
K. De Leo,
F. De Riggi,
J. Dervan,
E. Fernandez,
A. Gaile,
M. Gallinaro,
A. Ghezzi,
C. Gotti
, et al. (46 additional authors not shown)
Abstract:
For the High-Luminosity (HL-LHC) phase, the upgrade of the Compact Muon Solenoid (CMS) experiment at CERN will include a novel MIP Timing Detector (MTD). The central part of MTD, the barrel timing layer (BTL), is designed to provide a measurement of the time of arrival of charged particles with a precision of 30 ps at the beginning of HL-LHC, progressively degrading to 60 ps while operating in an…
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For the High-Luminosity (HL-LHC) phase, the upgrade of the Compact Muon Solenoid (CMS) experiment at CERN will include a novel MIP Timing Detector (MTD). The central part of MTD, the barrel timing layer (BTL), is designed to provide a measurement of the time of arrival of charged particles with a precision of 30 ps at the beginning of HL-LHC, progressively degrading to 60 ps while operating in an extremely harsh radiation environment for over a decade. In this paper we present a comparative analysis of the time resolution of BTL module prototypes made of LYSO:Ce crystal bars read out by silicon photo-multipliers (SiPMs). The timing performance measured in beam test campaigns is presented for prototypes with different construction and operation parameters, such as different SiPM cell sizes (15, 20, 25 and 30 $\rm μm$), SiPM manufacturers and crystal bar thicknesses. The evolution of time resolution as a function of the irradiation level has been studied using non-irradiated SiPMs as well as SiPMs exposed up to $2\times 10^{14}~n_{eq}/cm^2$ fluence. The key parameters defining the module time resolution such as SiPM characteristics (gain, photon detection efficiency, radiation induced dark count rate) and crystal properties (light output and dimensions) are discussed. These results have informed the final choice of the MTD barrel sensor configuration and offer a unique starting point for the design of future large-area scintillator-based timing detectors in either low or high radiation environments.
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Submitted 11 October, 2024;
originally announced October 2024.
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MRI quantification of liver fibrosis using diamagnetic susceptibility: An ex-vivo feasibility study
Authors:
Chao Li,
Jinwei Zhang,
Alexey V. Dimov,
Anne K. Koehne de González,
Martin R. Prince,
Jiahao Li,
Dominick Romano,
Pascal Spincemaille,
Thanh D. Nguyen,
Gary M. Brittenham,
Yi Wang
Abstract:
In chronic liver disease, liver fibrosis develops as excessive deposition of extracellular matrix macromolecules, predominantly collagens, progressively form fibrous scars that disrupt the hepatic architecture, and fibrosis, iron, and fat are interrelated. Fibrosis is the best predictor of morbidity and mortality in chronic liver disease but liver biopsy, the reference method for diagnosis and sta…
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In chronic liver disease, liver fibrosis develops as excessive deposition of extracellular matrix macromolecules, predominantly collagens, progressively form fibrous scars that disrupt the hepatic architecture, and fibrosis, iron, and fat are interrelated. Fibrosis is the best predictor of morbidity and mortality in chronic liver disease but liver biopsy, the reference method for diagnosis and staging, is invasive and limited by sampling and interobserver variability and risks of complications. The overall objective of this study was to develop a new non-invasive method to quantify fibrosis using diamagnetic susceptibility sources with histology validation in ex vivo liver explants.
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Submitted 3 October, 2024;
originally announced October 2024.
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Trust in society: A stochastic compartmental model
Authors:
Benedikt Valentin Meylahn,
Koen De Turck,
Michel Mandjes
Abstract:
This paper studies a novel stochastic compartmental model that describes the dynamics of trust in society. The population is split into three compartments representing levels of trust in society: trusters, skeptics and doubters. The focus lies on assessing the long-term dynamics, under `bounded confidence' i.e., trusters and doubters do not communicate). We state and classify the stationary points…
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This paper studies a novel stochastic compartmental model that describes the dynamics of trust in society. The population is split into three compartments representing levels of trust in society: trusters, skeptics and doubters. The focus lies on assessing the long-term dynamics, under `bounded confidence' i.e., trusters and doubters do not communicate). We state and classify the stationary points of the system's mean behavior. We find that an increase in life-expectancy, and a greater population may increase the proportion of individuals who lose their trust completely. In addition, the relationship between the rate at which doubters convince skeptics to join their cause and the expected number of doubters is not monotonic -- it does not always help to be more convincing to ensure the survival of your group. We numerically illustrate the workings of our analysis. Because the study of stochastic compartmental models for social dynamics is not common, we in particular shed light on the limitations of deterministic compartmental models.
In our experiments we make use of fluid and diffusion approximation techniques as well as Gillespie simulation.
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Submitted 19 September, 2024;
originally announced September 2024.
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Short-Timescale Spatial Variability of Ganymede's Optical Aurora
Authors:
Zachariah Milby,
Katherine de Kleer,
Carl Schmidt,
François Leblanc
Abstract:
Ganymede's aurora are the product of complex interactions between its intrinsic magnetosphere and the surrounding Jovian plasma environment and can be used to derive both atmospheric composition and density. In this study, we analyzed a time-series of Ganymede's optical aurora taken with Keck I/HIRES during eclipse by Jupiter on 2021-06-08 UTC, one day after the Juno flyby of Ganymede. The data ha…
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Ganymede's aurora are the product of complex interactions between its intrinsic magnetosphere and the surrounding Jovian plasma environment and can be used to derive both atmospheric composition and density. In this study, we analyzed a time-series of Ganymede's optical aurora taken with Keck I/HIRES during eclipse by Jupiter on 2021-06-08 UTC, one day after the Juno flyby of Ganymede. The data had sufficient signal-to-noise in individual 5-minute observations to allow for the first high cadence analysis of the spatial distribution of the aurora brightness and the ratio between the 630.0 and 557.7 nm disk-integrated auroral brightnesses -- a quantity diagnostic of the relative abundances of O, O$_2$ and H$_2$O in Ganymede's atmosphere. We found that the hemisphere closer to the centrifugal equator of Jupiter's magnetosphere (where electron number density is highest) was up to twice as bright as the opposing hemisphere. The dusk (trailing) hemisphere, subjected to the highest flux of charged particles from Jupiter's magnetosphere, was also consistently almost twice as bright as the dawn (leading) hemisphere. We modeled emission from simulated O$_2$ and H$_2$O atmospheres during eclipse and found that if Ganymede hosts an H$_2$O sublimation atmosphere in sunlight, it must collapse on a faster timescale than expected to explain its absence in our data given our current understanding of Ganymede's surface properties.
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Submitted 9 September, 2024;
originally announced September 2024.
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Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining
Authors:
Yuzhu Li,
Nir Pillar,
Tairan Liu,
Guangdong Ma,
Yuxuan Qi,
Kevin de Haan,
Yijie Zhang,
Xilin Yang,
Adrian J. Correa,
Guangqian Xiao,
Kuang-Yu Jen,
Kenneth A. Iczkowski,
Yulun Wu,
William Dean Wallace,
Aydogan Ozcan
Abstract:
Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histological assessment is essential for the timely detection and diagnosis of transplant rejection and remains the gold standard. Nevertheless, the traditional histochemical staining process is time-consuming, costly, and la…
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Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histological assessment is essential for the timely detection and diagnosis of transplant rejection and remains the gold standard. Nevertheless, the traditional histochemical staining process is time-consuming, costly, and labor-intensive. Here, we present a panel of virtual staining neural networks for lung and heart transplant biopsies, which digitally convert autofluorescence microscopic images of label-free tissue sections into their brightfield histologically stained counterparts, bypassing the traditional histochemical staining process. Specifically, we virtually generated Hematoxylin and Eosin (H&E), Masson's Trichrome (MT), and Elastic Verhoeff-Van Gieson (EVG) stains for label-free transplant lung tissue, along with H&E and MT stains for label-free transplant heart tissue. Subsequent blind evaluations conducted by three board-certified pathologists have confirmed that the virtual staining networks consistently produce high-quality histology images with high color uniformity, closely resembling their well-stained histochemical counterparts across various tissue features. The use of virtually stained images for the evaluation of transplant biopsies achieved comparable diagnostic outcomes to those obtained via traditional histochemical staining, with a concordance rate of 82.4% for lung samples and 91.7% for heart samples. Moreover, virtual staining models create multiple stains from the same autofluorescence input, eliminating structural mismatches observed between adjacent sections stained in the traditional workflow, while also saving tissue, expert time, and staining costs.
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Submitted 6 July, 2025; v1 submitted 8 September, 2024;
originally announced September 2024.
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Comparing NASA Discovery and New Frontiers Class Mission Concepts for the Io Volcano Observer (IVO)
Authors:
Christopher W. Hamilton,
Alfred S. McEwen,
Laszlo Keszthelyi,
Lynn M. Carter,
Ashley G. Davies,
Katherine de Kleer,
Kandis Lea Jessup,
Xianzhe Jia,
James T. Keane,
Kathleen Mandt,
Francis Nimmo,
Chris Paranicas,
Ryan S. Park,
Jason E. Perry,
Anne Pommier,
Jani Radebaugh,
Sarah S. Sutton,
Audrey Vorburger,
Peter Wurz,
Cauê Borlina,
Amanda F. Haapala,
Daniella N. DellaGiustina,
Brett W. Denevi,
Sarah M. Hörst,
Sascha Kempf
, et al. (9 additional authors not shown)
Abstract:
Jupiter's moon Io is a highly compelling target for future exploration that offers critical insight into tidal dissipation processes and the geology of high heat flux worlds, including primitive planetary bodies, such as the early Earth, that are shaped by enhanced rates of volcanism. Io is also important for understanding the development of volcanogenic atmospheres and mass-exchange within the Ju…
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Jupiter's moon Io is a highly compelling target for future exploration that offers critical insight into tidal dissipation processes and the geology of high heat flux worlds, including primitive planetary bodies, such as the early Earth, that are shaped by enhanced rates of volcanism. Io is also important for understanding the development of volcanogenic atmospheres and mass-exchange within the Jupiter System. However, fundamental questions remain about the state of Io's interior, surface, and atmosphere, as well as its role in the evolution of the Galilean satellites. The Io Volcano Observer (IVO) would address these questions by achieving the following three key goals: (A) Determine how and where tidal heat is generated inside Io; (B) Understand how tidal heat is transported to the surface of Io; and (C) Understand how Io is evolving. IVO was selected for Phase A study through the NASA Discovery program in 2020 and, in anticipation of a New Frontiers 5 opportunity, an enhanced IVO-NF mission concept was advanced that would increase the Baseline mission from 10 flybys to 20, with an improved radiation design; employ a Ka-band communications to double IVO's total data downlink; add a wide angle camera for color and stereo mapping; add a dust mass spectrometer; and lower the altitude of later flybys to enable new science. This study compares and contrasts the mission architecture, instrument suite, and science objectives for Discovery (IVO) and New Frontiers (IVO-NF) missions to Io, and advocates for continued prioritization of Io as an exploration target for New Frontiers.
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Submitted 14 August, 2024;
originally announced August 2024.
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Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
Authors:
Cagatay Isil,
Hatice Ceylan Koydemir,
Merve Eryilmaz,
Kevin de Haan,
Nir Pillar,
Koray Mentesoglu,
Aras Firat Unal,
Yair Rivenson,
Sukantha Chandrasekaran,
Omai B. Garner,
Aydogan Ozcan
Abstract:
Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, and environmental monitoring. Its manual procedures make it vulnerable to staining errors and artifacts due to, e.g., operator inexperience and chemical variations. Here, we introduce virtual Gram staining of label-free ba…
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Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, and environmental monitoring. Its manual procedures make it vulnerable to staining errors and artifacts due to, e.g., operator inexperience and chemical variations. Here, we introduce virtual Gram staining of label-free bacteria using a trained deep neural network that digitally transforms darkfield images of unstained bacteria into their Gram-stained equivalents matching brightfield image contrast. After a one-time training effort, the virtual Gram staining model processes an axial stack of darkfield microscopy images of label-free bacteria (never seen before) to rapidly generate Gram staining, bypassing several chemical steps involved in the conventional staining process. We demonstrated the success of the virtual Gram staining workflow on label-free bacteria samples containing Escherichia coli and Listeria innocua by quantifying the staining accuracy of the virtual Gram staining model and comparing the chromatic and morphological features of the virtually stained bacteria against their chemically stained counterparts. This virtual bacteria staining framework effectively bypasses the traditional Gram staining protocol and its challenges, including stain standardization, operator errors, and sensitivity to chemical variations.
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Submitted 17 July, 2024;
originally announced July 2024.
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Detection of a 2.85 micrometer Feature on 5 Spinel-rich Asteroids from JWST
Authors:
Jonathan Gomez Barrientos,
Katherine de Kleer,
Bethany L. Ehlmann,
Francois L. H. Tissot,
Jessica Mueller
Abstract:
Ground-based observations of `Barbarian' L-type asteroids at 1 to 2.5-$μ$m indicate that their near-infrared spectra are dominated by the mineral spinel, which has been attributed to a high abundance of calcium-aluminum inclusions (CAIs) -- the first solids to condense out of the protoplanetary disk during the formation of the Solar System. However, the spectral properties of these asteroids from…
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Ground-based observations of `Barbarian' L-type asteroids at 1 to 2.5-$μ$m indicate that their near-infrared spectra are dominated by the mineral spinel, which has been attributed to a high abundance of calcium-aluminum inclusions (CAIs) -- the first solids to condense out of the protoplanetary disk during the formation of the Solar System. However, the spectral properties of these asteroids from 2.5 to 5-$μ$m, a wavelength region that covers signatures of hydrated minerals, water, and organics, have not yet been explored. Here, we present 2 to 5-$μ$m reflectance spectra of five spinel-rich asteroids obtained with the NIRSpec instrument on the James Webb Space Telescope. All five targets exhibit a $\sim$ 2.85-$μ$m absorption feature with a band depth of 3-6$\%$ that appears correlated in strength with that of the 2-$μ$m spinel absorption feature. The shape and position of the 2.85-$μ$m feature are not a good match to the 2.7-$μ$m feature commonly seen in carbonaceous CM meteorites or C-type asteroids. The closest spectral matches are to the Moon and Vesta, suggesting commonalities in aqueous alteration across silicate bodies, infall of hydrated material, and/or space weathering by solar wind H implantation. Lab spectra of CO/CV chondrites, CAIs, as well as the minerals cronstedtite and spinel, also show a similar feature, providing clues into the origin of the 2.85-$μ$m feature.
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Submitted 20 May, 2024;
originally announced May 2024.
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Acceptance Tests of more than 10 000 Photomultiplier Tubes for the multi-PMT Digital Optical Modules of the IceCube Upgrade
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
S. K. Agarwalla,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
N. M. Amin,
K. Andeen,
C. Argüelles,
Y. Ashida,
S. Athanasiadou,
L. Ausborm,
S. N. Axani,
X. Bai,
A. Balagopal V.,
M. Baricevic,
S. W. Barwick,
S. Bash,
V. Basu,
R. Bay,
J. J. Beatty,
J. Becker Tjus,
J. Beise,
C. Bellenghi
, et al. (399 additional authors not shown)
Abstract:
More than 10,000 photomultiplier tubes (PMTs) with a diameter of 80 mm will be installed in multi-PMT Digital Optical Modules (mDOMs) of the IceCube Upgrade. These have been tested and pre-calibrated at two sites. A throughput of more than 1000 PMTs per week with both sites was achieved with a modular design of the testing facilities and highly automated testing procedures. The testing facilities…
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More than 10,000 photomultiplier tubes (PMTs) with a diameter of 80 mm will be installed in multi-PMT Digital Optical Modules (mDOMs) of the IceCube Upgrade. These have been tested and pre-calibrated at two sites. A throughput of more than 1000 PMTs per week with both sites was achieved with a modular design of the testing facilities and highly automated testing procedures. The testing facilities can easily be adapted to other PMTs, such that they can, e.g., be re-used for testing the PMTs for IceCube-Gen2. Single photoelectron response, high voltage dependence, time resolution, prepulse, late pulse, afterpulse probabilities, and dark rates were measured for each PMT. We describe the design of the testing facilities, the testing procedures, and the results of the acceptance tests.
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Submitted 20 June, 2024; v1 submitted 30 April, 2024;
originally announced April 2024.
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The LHCb VELO Upgrade Module Construction
Authors:
K. Akiba,
M. Alexander,
C. Bertella,
A. Biolchini,
A. Bitadze,
G. Bogdanova,
S. Borghi,
T. J. V. Bowcock,
K. Bridges,
M. Brock,
A. T. Burke,
J. Buytaert,
W. Byczynski,
J. Carroll,
V. Coco,
P. Collins,
A. Davis,
O. De Aguiar Francisco,
K. De Bruyn,
S. De Capua,
K. De Roo,
F. Doherty,
L. Douglas,
L. Dufour,
R. Dumps
, et al. (62 additional authors not shown)
Abstract:
The LHCb detector has undergone a major upgrade for LHC Run 3. This Upgrade I detector facilitates operation at higher luminosity and utilises full-detector information at the LHC collision rate, critically including the use of vertex information. A new vertex locator system, the VELO Upgrade, has been constructed. The core element of the new VELO are the double-sided pixelated hybrid silicon dete…
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The LHCb detector has undergone a major upgrade for LHC Run 3. This Upgrade I detector facilitates operation at higher luminosity and utilises full-detector information at the LHC collision rate, critically including the use of vertex information. A new vertex locator system, the VELO Upgrade, has been constructed. The core element of the new VELO are the double-sided pixelated hybrid silicon detector modules which operate in vacuum close to the LHC beam in a high radiation environment. The construction and quality assurance tests of these modules are described in this paper. The modules incorporate 200 \mum thick, n-on-p silicon sensors bump-bonded to 130 \nm technology ASICs. These are attached with high precision to a silicon microchannel substrate that uses evaporative CO$_2$ cooling. The ASICs are controlled and read out with flexible printed circuits that are glued to the substrate and wire-bonded to the chips. The mechanical support of the module is given by a carbon fibre plate, two carbon fibre rods and an aluminium plate. The sensor attachment was achieved with an average precision of 21 $\mathrm{μm}$, more than 99.5\% of all pixels are fully functional, and a thermal figure of merit of 3 \mathrm{Kcm^{2}W^{-1}}$ was achieved. The production of the modules was successfully completed in 2021, with the final assembly and installation completed in time for data taking in 2022.
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Submitted 21 April, 2024;
originally announced April 2024.
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Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows
Authors:
Mickaël Delcey,
Yoann Cheny,
Jean-Baptiste Keck,
Adrien Gans,
Sébastien Kiesgen De Richter
Abstract:
Physics-Informed Neural Networks (PINNs) have shown great potential in the context of fluid dynamics simulations, particularly in reconstructing flow fields and identifying key parameters. In this study, we explore the application of PINNs to recover the dimensionless settling velocity for sedimentation flow. The flow involves sediment-laden fresh water overlying salt water, which is described by…
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Physics-Informed Neural Networks (PINNs) have shown great potential in the context of fluid dynamics simulations, particularly in reconstructing flow fields and identifying key parameters. In this study, we explore the application of PINNs to recover the dimensionless settling velocity for sedimentation flow. The flow involves sediment-laden fresh water overlying salt water, which is described by Navier-Stokes equations coupled with sediment concentration and salinity transport equations. Two cases are investigated: one where the training data contains the salinity and sediment concentration fields, and another where it contains the velocity field. For both cases, we investigate several flow regimes and show that the model is capable of inferring the unknown parameter and reconstructing the hydrodynamic field of the flow. The quality of the model inference is assessed by comparing it with numerical simulations from a high-fidelity semi-Lagrangian solver. We demonstrate the model's robustness to noise by training it with data corrupted by noise of varying magnitudes, highlighting the potential of PINNs for real-world applications.
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Submitted 10 April, 2024;
originally announced April 2024.