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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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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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Coincidence-pumping upconversion detector based on passively synchronized fiber laser system
Authors:
Weiyan Kang,
Bowen Li,
Yan Liang,
Qiang Hao,
Ming Yan,
Kun Huang,
Heping Zeng
Abstract:
We experimentally demonstrated a high-performance frequency upconversion detector for telecom-band photons based on a passively synchronized fiber laser system. The involved coincidence pumping technique enabled to spectrally convert the pulsed infrared photons into the visible regime with a conversion efficiency of 72\%. The overall detection efficiency of the upconversion detector reached to 30\…
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We experimentally demonstrated a high-performance frequency upconversion detector for telecom-band photons based on a passively synchronized fiber laser system. The involved coincidence pumping technique enabled to spectrally convert the pulsed infrared photons into the visible regime with a conversion efficiency of 72\%. The overall detection efficiency of the upconversion detector reached to 30\% with a low noise equivalent power of $3\times10^{-17}\ \text{W/Hz}^{1/2}$. In contrast to previous demonstrations, the whole upconversion detection system was constructed in an all-polarization-maintaining fiber structure, thus favoring substantial improvement of compactness and robustness. Moreover, the long-term stability was manifested by at least ten-hour operation with a relative fluctuation of count rates as small as 0.26\%. The achieved features here would be desirable in many practical applications requiring efficient and robust coherent manipulation of pulsed optical fields by nonlinear frequency conversion.
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Submitted 2 June, 2026;
originally announced June 2026.
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Mid-infrared photon counting and resolving via efficient frequency upconversion
Authors:
Kun Huang,
Yinqi Wang,
Jianan Fang,
Weiyan Kang,
Ying Sun,
Heping Zeng
Abstract:
Optical detectors with single-photon sensitivity and large dynamic range would facilitate a variety of applications. Especially, the capability of extending operation wavelengths into the mid-infrared region is highly attractive. Here we implement a mid-infrared frequency upconversion detector for counting and resolving photons at 3 $μ$m. Thanks to the spectro-temporal engineering of the involved…
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Optical detectors with single-photon sensitivity and large dynamic range would facilitate a variety of applications. Especially, the capability of extending operation wavelengths into the mid-infrared region is highly attractive. Here we implement a mid-infrared frequency upconversion detector for counting and resolving photons at 3 $μ$m. Thanks to the spectro-temporal engineering of the involved optical fields, the mid-infrared photons could be spectrally translated into the visible band with a conversion efficiency of 80\%. In combination with a silicon avalanche photodiode, we obtained unprecedented performances with a high overall detection efficiency of 37\% and a low noise equivalent power of 1.8$\times$10$^{-17}$ W/Hz$^{1/2}$. Furthermore, photon-number-resolving detection at mid-infrared wavelengths was demonstrated, for the first time to our knowledge, with a multi-pixel photon counter. The implemented upconversion detector exhibited a maximal resolving photon number up to 9 with a noise probability per pulse of 0.14\% at the peak detection efficiency. The achieved photon counting and resolving performance might open up new possibilities in trace molecule spectroscopy, sensitive biochemical sensing, and free-space communications, among others.
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Submitted 2 June, 2026;
originally announced June 2026.
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NeuralFVM: Neural-physics-based Finite Volume Method for Turbulent Flows Using the $k$-$ω$ Model
Authors:
Tingkai Xue,
Yu Jiao,
Te Ba,
Jingliang Wang,
Juntao Yang,
Simon See,
Boyang Chen,
Claire E. Heaney,
Christopher C. Pain,
Chang Wei Kang,
Mohamed Arif Bin Mohamed,
Hongying Li
Abstract:
In this work, we develop a neural-physics solver based on finite volume method (FVM), namely NeuralFVM, for turbulent flows by implementing the standard $k$-$ω$ model designed for efficient Graphics Processing Unit (GPU) execution. The governing equations for fluid flow and heat transfer are reformulated as local tensor operations using convolution-based stencil operators, which enables compatibil…
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In this work, we develop a neural-physics solver based on finite volume method (FVM), namely NeuralFVM, for turbulent flows by implementing the standard $k$-$ω$ model designed for efficient Graphics Processing Unit (GPU) execution. The governing equations for fluid flow and heat transfer are reformulated as local tensor operations using convolution-based stencil operators, which enables compatibility with deep learning libraries while preserving the conservative properties of the FVM. A key challenge in implementing the turbulent model within such a framework is the treatment of the stiff destruction terms in the $k$ and $ω$ transport equations. To address this issue, an operator-splitting strategy is introduced in which the stiff destruction terms are handled semi-implicitly while the remaining terms are advanced explicitly. This formulation avoids global matrix assembly and allows the entire solver to be implemented using local tensor operations. In addition, the pressure-velocity coupling is solved using a convolution-based geometric multigrid algorithm embedded within a neural network architecture. The resulting NeuralFVM solver is validated through comparison with simulations conducted using the commercial CFD software ANSYS Fluent for several channel-flow configurations and an indoor airflow scenario. The results demonstrate close agreement in velocity, temperature, and turbulence quantities, confirming the accuracy of the proposed approach. The developed GPU framework achieves a speedup of around 19-46 times compared with its Central Processing Unit (CPU) counterpart under different meshes. Moreover, the proposed solver naturally integrates with machine learning workflows, providing a promising foundation for future data-driven turbulence modeling and optimization.
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Submitted 23 March, 2026;
originally announced March 2026.
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A Tug-of-War Between Baroclinic Eddies and Convection: Implications for Icy Moon Oceans
Authors:
Shuang Wang,
Wanying Kang,
Cheng Li
Abstract:
In many geophysical and planetary environments, such as Earth's ocean and atmosphere as well as subsurface oceans of icy satellites, convection driven by bottom geothermal heating usually coexists with baroclinic eddies driven by lateral buoyancy/temperature gradients. These processes compete against each other, with convection destabilizing the stratification and baroclinic eddies re-stabilizing…
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In many geophysical and planetary environments, such as Earth's ocean and atmosphere as well as subsurface oceans of icy satellites, convection driven by bottom geothermal heating usually coexists with baroclinic eddies driven by lateral buoyancy/temperature gradients. These processes compete against each other, with convection destabilizing the stratification and baroclinic eddies re-stabilizing it, thereby controlling whether the bottom heat flux is significantly redistributed as it is transmitted to the upper surface. Using scaling analysis and numerical simulations, we show that a stratified layer persists near the upper surface up to ${\rm Ra}_{v}\sim {\rm Ra}_h^{5/2}$, where ${\rm Ra}_h\equiv Δb_0/(L_zf^2)$ measures the imposed upper-surface buoyancy contrast $Δb_0$ and ${\rm Ra}_v\equiv B_0/(L_z^2f^3)$ measures the strength of the bottom buoyancy flux $B_0$, $L_z$ is the domain depth and $f$ is the Coriolis parameter. For ${\rm Ra}_v<{\rm Ra}_h^{5/2}$, baroclinic eddies dominate over convection, maintain the upper stratified layer, and completely deflect the bottom buoyancy/heat input into meridional transport. In contrast, when ${\rm Ra}_v>{\rm Ra}_h^{5/2}$, convective plumes penetrate the stratification and transport buoyancy/heat vertically with negligible deflection. Building on these results, we further propose a scaling law for the meridional buoyancy/heat transport in this system. Applications to icy satellites are discussed.
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Submitted 17 March, 2026;
originally announced March 2026.
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Optical calibration systems of the Pacific Ocean Neutrino Experiment
Authors:
M. Agostini,
A. Alexander Wight,
M. Altomare,
K. Baş,
N. Baily,
P. S. Barbeau,
A. J. Baron,
S. Bash,
C. Bellenghi,
M. Boehmer,
M. Brandenburg,
P. Bunton,
N. Cedarblade-Jones,
B. Crudele,
M. Danninger,
T. DeYoung,
A. Gärtner,
J. Garriz,
D. Ghuman,
L. Ginzkey,
T. Glukler,
V. Gousy-Leblanc,
D. Grant,
A. Grimes,
C. Haack
, et al. (67 additional authors not shown)
Abstract:
This work presents the design and performance characterization of the optical calibration systems produced for the Pacific Ocean Neutrino Experiment (P-ONE), which target gain, energy and time calibration in the detector. These systems include novel light-pulse driver circuitry based on gallium nitride field-effect transistor technology and its application to directional and isotropic, self-monito…
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This work presents the design and performance characterization of the optical calibration systems produced for the Pacific Ocean Neutrino Experiment (P-ONE), which target gain, energy and time calibration in the detector. These systems include novel light-pulse driver circuitry based on gallium nitride field-effect transistor technology and its application to directional and isotropic, self-monitoring optical calibration instruments. A total of 330 directional light pulsers and two isotropic, 17-inch calibration modules (P-CALs) were produced for the first P-ONE line. We present the designs and performance of both the directional and isotropic calibration devices and perform detailed optical characterizations of both full-production batches. In a wavelength range of $365 - 520\,$nm, our developed driver circuits achieve emission intensities up to $10^{11}\,$photons and pulse widths as small as $1.4\,$ns, respectively. Light-pulse drivers and self-monitoring electronics in the P-CAL were characterized using the same experimental setup, and the instrument's optical-isotropy design was optimized in combination with a dedicated GEANT4-based simulation framework. The optimized P-CAL achieves a simulated isotropy grade of $1.00 \pm 0.01$ across the entire $4π\,$solid angle range. These simulation investigations were explicitly confirmed by dedicated measurements in both air and water using two independent experimental setups, and we report the results. With this, a detailed performance estimate for deployed P-CAL modules in P-ONE was possible.
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Submitted 18 June, 2026; v1 submitted 10 March, 2026;
originally announced March 2026.
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CompARE: A Computational framework for Airborne Respiratory disease Evaluation integrating flow physics and human behavior
Authors:
Fong Yew Leong,
Jaeyoung Kwak,
Zhengwei Ge,
Chin Chun Ooi,
Siew-Wai Fong,
Matthew Zirui Tay,
Hua Qian,
Chang Wei Kang,
Wentong Cai,
Hongying Li
Abstract:
The risk of indoor airborne transmission among co-located individuals is generally non-uniform, which remains a critical challenge for public health modelling. Thus, we present CompARE, an integrated risk assessment framework for indoor airborne disease transmission that reveals a striking bimodal distribution of infection risk driven by airflow dynamics and human behavior. Combining computational…
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The risk of indoor airborne transmission among co-located individuals is generally non-uniform, which remains a critical challenge for public health modelling. Thus, we present CompARE, an integrated risk assessment framework for indoor airborne disease transmission that reveals a striking bimodal distribution of infection risk driven by airflow dynamics and human behavior. Combining computational fluid dynamics (CFD), machine learning (ML), and agent-based modeling (ABM), our model captures the complex interplay between aerosol transport, human mobility, and environmental context. Based on a prototypical childcare center, our approach quantifies how incorporation of ABM can unveil significantly different infection risk profiles across agents, with more than two-fold change in risk of infection between the individuals with the lowest and highest risks in more than 90% of cases, despite all individuals being in the same overall environment. We found that infection risk distributions can exhibit not only a striking bimodal pattern in certain activities but also exponential decay and fat-tailed behavior in others. Specifically, we identify low-risk modes arising from source containment, as well as high-risk tails from prolonged close contact. Our approach enables near-real-time scenario analysis and provides policy-relevant quantitative insights into how ventilation design, spatial layout, and social distancing policies can mitigate transmission risk. These findings challenge simple distance-based heuristics and support the design of targeted, evidence-based interventions in high-occupancy indoor settings.
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Submitted 26 November, 2025;
originally announced November 2025.
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Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations
Authors:
Tingkai Xue,
Chin Chun Ooi,
Zhengwei Ge,
Fong Yew Leong,
Hongying Li,
Chang Wei Kang
Abstract:
Numerical simulations provide key insights into many physical, real-world problems. However, while these simulations are solved on a full 3D domain, most analysis only require a reduced set of metrics (e.g. plane-level concentrations). This work presents a hybrid physics-neural model that predicts scalar transport in a complex domain orders of magnitude faster than the 3D simulation (from hours to…
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Numerical simulations provide key insights into many physical, real-world problems. However, while these simulations are solved on a full 3D domain, most analysis only require a reduced set of metrics (e.g. plane-level concentrations). This work presents a hybrid physics-neural model that predicts scalar transport in a complex domain orders of magnitude faster than the 3D simulation (from hours to less than 1 min). This end-to-end differentiable framework jointly learns the physical model parameterization (i.e. orthotropic diffusivity) and a non-Markovian neural closure model to capture unresolved, 'coarse-grained' effects, thereby enabling stable, long time horizon rollouts. This proposed model is data-efficient (learning with 26 training data), and can be flexibly extended to an out-of-distribution scenario (with a moving source), achieving a Spearman correlation coefficient of 0.96 at the final simulation time. Overall results show that this differentiable physics-neural framework enables fast, accurate, and generalizable coarse-grained surrogates for physical phenomena.
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Submitted 26 November, 2025;
originally announced November 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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Nutation Damping from Core-Mantle Boundary Topography
Authors:
J. Rekier,
S. A. Triana,
A. Barik,
D. Abdulah,
W. Kang
Abstract:
Periodic gravitational forcing by the Moon and Sun produces small oscillations in Earth's rotation known as nutations. Nutations are amplified by a resonance with a natural motion of the liquid core called the Free Core Nutation, whose amplitude is limited by friction-like processes at the core--mantle boundary. Previous studies have attributed this damping to the dissipation of electric currents…
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Periodic gravitational forcing by the Moon and Sun produces small oscillations in Earth's rotation known as nutations. Nutations are amplified by a resonance with a natural motion of the liquid core called the Free Core Nutation, whose amplitude is limited by friction-like processes at the core--mantle boundary. Previous studies have attributed this damping to the dissipation of electric currents induced in the lower conducting mantle, but, given current knowledge of the lower mantle, electromagnetic coupling appears insufficient to fully account for the observed lag. We show that additional dissipation arises from the interaction of the tidal flow inside the core with the topography of the core--mantle boundary, which excites internal waves that extract energy and momentum from the flow. Adapting a theory originally developed for tides over seafloor topography, we find that the observed damping can be fully accounted for by a topography of typical amplitude $\sim$5~km dominated by features of wavelength $\sim$1500~km. The dissipation is highest when the upper core is neutrally buoyant. Such amplitudes are larger than typical inferences from global seismic studies but are not ruled out, given regional seismic evidence for kilometer-scale features and the sparse constraints at these scales.
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Submitted 17 July, 2026; v1 submitted 2 July, 2025;
originally announced July 2025.
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Ion Track Formation via Electric-Field-Enhanced Energy Deposition
Authors:
Zikang Ge,
Jinhao Hu,
Shengyuan Peng,
Wei Kang,
Xiaofei Shen,
Yanbo Xie,
Jianming Xue
Abstract:
High-energy ion irradiation deposits extreme energy in a narrow range (1-10 nm) along ion trajectories in solid through electronic energy loss, producing unique irradiation effects such as ion tracks. However, intrinsic velocity effects impose an upper limit on electronic energy loss that cannot be overcome by adjusting irradiation parameters. We introduce a method using electric fields during irr…
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High-energy ion irradiation deposits extreme energy in a narrow range (1-10 nm) along ion trajectories in solid through electronic energy loss, producing unique irradiation effects such as ion tracks. However, intrinsic velocity effects impose an upper limit on electronic energy loss that cannot be overcome by adjusting irradiation parameters. We introduce a method using electric fields during irradiation to enhance nanoscale energy deposition by accelerating ion-excited electrons within sub-picosecond timescales.Our extended thermal spike model quantitatively describes this enhancement and predicts a significant reduction in the electronic energy loss required for ion track formation in amorphous SiO2, which is in excellent agreement with experimental observations. This work provides a new approach to control energy deposition during irradiation and boosts the wide application of ion tracks in material modification and nanoengineering to much broader extents.
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Submitted 8 December, 2025; v1 submitted 15 June, 2025;
originally announced June 2025.
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Lowering threshold of NaI(Tl) scintillator to 0.7 keV in the COSINE-100 experiment
Authors:
G. H. Yu,
N. Carlin,
J. Y. Cho,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. França,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
D. H. Lee
, et al. (34 additional authors not shown)
Abstract:
COSINE-100 is a direct dark matter search experiment, with the primary goal of testing the annual modulation signal observed by DAMA/LIBRA, using the same target material, NaI(Tl). In previous analyses, we achieved the same 1 keV energy threshold used in the DAMA/LIBRA's analysis that reported an annual modulation signal with 11.6$σ$ significance. In this article, we report an improved analysis th…
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COSINE-100 is a direct dark matter search experiment, with the primary goal of testing the annual modulation signal observed by DAMA/LIBRA, using the same target material, NaI(Tl). In previous analyses, we achieved the same 1 keV energy threshold used in the DAMA/LIBRA's analysis that reported an annual modulation signal with 11.6$σ$ significance. In this article, we report an improved analysis that lowered the threshold to 0.7 keV, thanks to the application of Multi-Layer Perception network and a new likelihood parameter with waveforms in the frequency domain. The lower threshold would enable a better comparison of COSINE-100 with new DAMA results with a 0.75 keV threshold and account for differences in quenching factors. Furthermore the lower threshold can enhance COSINE-100's sensitivity to sub-GeV dark matter searches.
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Submitted 22 December, 2024; v1 submitted 26 August, 2024;
originally announced August 2024.
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Improved background modeling for dark matter search with COSINE-100
Authors:
G. H. Yu,
N. Carlin,
J. Y. Cho,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
D. H. Lee
, et al. (33 additional authors not shown)
Abstract:
COSINE-100 aims to conclusively test the claimed dark matter annual modulation signal detected by DAMA/LIBRA collaboration. DAMA/LIBRA has released updated analysis results by lowering the energy threshold to 0.75 keV through various upgrades. They have consistently claimed to have observed the annual modulation. In COSINE-100, it is crucial to lower the energy threshold for a direct comparison wi…
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COSINE-100 aims to conclusively test the claimed dark matter annual modulation signal detected by DAMA/LIBRA collaboration. DAMA/LIBRA has released updated analysis results by lowering the energy threshold to 0.75 keV through various upgrades. They have consistently claimed to have observed the annual modulation. In COSINE-100, it is crucial to lower the energy threshold for a direct comparison with DAMA/LIBRA, which also enhances the sensitivity of the search for low-mass dark matter, enabling COSINE-100 to explore this area. Therefore, it is essential to have a precise and quantitative understanding of the background spectrum across all energy ranges. This study expands the background modeling from 0.7 to 4000 keV using 2.82 years of COSINE-100 data. The modeling has been improved to describe the background spectrum across all energy ranges accurately. Assessments of the background spectrum are presented, considering the nonproportionality of NaI(Tl) crystals at both low and high energies and the characteristic X-rays produced by the interaction of external backgrounds with materials such as copper. Additionally, constraints on the fit parameters obtained from the alpha spectrum modeling fit are integrated into this model. These improvements are detailed in the paper.
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Submitted 19 August, 2024;
originally announced August 2024.
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Development of MMC-based lithium molybdate cryogenic calorimeters for AMoRE-II
Authors:
A. Agrawal,
V. V. Alenkov,
P. Aryal,
H. Bae,
J. Beyer,
B. Bhandari,
R. S. Boiko,
K. Boonin,
O. Buzanov,
C. R. Byeon,
N. Chanthima,
M. K. Cheoun,
J. S. Choe,
S. Choi,
S. Choudhury,
J. S. Chung,
F. A. Danevich,
M. Djamal,
D. Drung,
C. Enss,
A. Fleischmann,
A. M. Gangapshev,
L. Gastaldo,
Y. M. Gavrilyuk,
A. M. Gezhaev
, et al. (84 additional authors not shown)
Abstract:
The AMoRE collaboration searches for neutrinoless double beta decay of $^{100}$Mo using molybdate scintillating crystals via low temperature thermal calorimetric detection. The early phases of the experiment, AMoRE-pilot and AMoRE-I, have demonstrated competitive discovery potential. Presently, the AMoRE-II experiment, featuring a large detector array with about 90 kg of $^{100}$Mo isotope, is und…
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The AMoRE collaboration searches for neutrinoless double beta decay of $^{100}$Mo using molybdate scintillating crystals via low temperature thermal calorimetric detection. The early phases of the experiment, AMoRE-pilot and AMoRE-I, have demonstrated competitive discovery potential. Presently, the AMoRE-II experiment, featuring a large detector array with about 90 kg of $^{100}$Mo isotope, is under construction. This paper discusses the baseline design and characterization of the lithium molybdate cryogenic calorimeters to be used in the AMoRE-II detector modules. The results from prototype setups that incorporate new housing structures and two different crystal masses (316 g and 517 - 521 g), operated at 10 mK temperature, show energy resolutions (FWHM) of 7.55 - 8.82 keV at the 2.615 MeV $^{208}$Tl $γ$ line, and effective light detection of 0.79 - 0.96 keV/MeV. The simultaneous heat and light detection enables clear separation of alpha particles with a discrimination power of 12.37 - 19.50 at the energy region around $^6$Li(n, $α$)$^3$H with Q-value = 4.785 MeV. Promising detector performances were demonstrated at temperatures as high as 30 mK, which relaxes the temperature constraints for operating the large AMoRE-II array.
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Submitted 3 March, 2025; v1 submitted 16 July, 2024;
originally announced July 2024.
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Projected background and sensitivity of AMoRE-II
Authors:
A. Agrawal,
V. V. Alenkov,
P. Aryal,
J. Beyer,
B. Bhandari,
R. S. Boiko,
K. Boonin,
O. Buzanov,
C. R. Byeon,
N. Chanthima,
M. K. Cheoun,
J. S. Choe,
Seonho Choi,
S. Choudhury,
J. S. Chung,
F. A. Danevich,
M. Djamal,
D. Drung,
C. Enss,
A. Fleischmann,
A. M. Gangapshev,
L. Gastaldo,
Y. M. Gavrilyuk,
A. M. Gezhaev,
O. Gileva
, et al. (81 additional authors not shown)
Abstract:
AMoRE-II aims to search for neutrinoless double beta decay with an array of 423 Li$_2$$^{100}$MoO$_4$ crystals operating in the cryogenic system as the main phase of the Advanced Molybdenum-based Rare process Experiment (AMoRE). AMoRE has been planned to operate in three phases: AMoRE-pilot, AMoRE-I, and AMoRE-II. AMoRE-II is currently being installed at the Yemi Underground Laboratory, located ap…
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AMoRE-II aims to search for neutrinoless double beta decay with an array of 423 Li$_2$$^{100}$MoO$_4$ crystals operating in the cryogenic system as the main phase of the Advanced Molybdenum-based Rare process Experiment (AMoRE). AMoRE has been planned to operate in three phases: AMoRE-pilot, AMoRE-I, and AMoRE-II. AMoRE-II is currently being installed at the Yemi Underground Laboratory, located approximately 1000 meters deep in Jeongseon, Korea. The goal of AMoRE-II is to reach up to $T^{0νββ}_{1/2}$ $\sim$ 6 $\times$ 10$^{26}$ years, corresponding to an effective Majorana mass of 15 - 29 meV, covering all the inverted mass hierarchy regions. To achieve this, the background level of the experimental configurations and possible background sources of gamma and beta events should be well understood. We have intensively performed Monte Carlo simulations using the GEANT4 toolkit in all the experimental configurations with potential sources. We report the estimated background level that meets the 10$^{-4}$counts/(keV$\cdot$kg$\cdot$yr) requirement for AMoRE-II in the region of interest (ROI) and show the projected half-life sensitivity based on the simulation study.
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Submitted 14 October, 2024; v1 submitted 13 June, 2024;
originally announced June 2024.
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Symmetry breaking of rotating convection due to Non-Oberbeck-Boussinesq effects
Authors:
Shuang Wang,
Wanying Kang
Abstract:
The non-Oberbeck--Boussinesq (NOB) effects arising from variations in thermal expansivity are theoretically and numerically studied in the context of rotating Rayleigh--Bénard convection in forms of two-dimensional (2D) rolls. The thermal expansivity increases with pressure (depth), and its variation is measured by a dimensionless factor $ε$. Utilizing an asymptotic expansion with weak nonlinearit…
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The non-Oberbeck--Boussinesq (NOB) effects arising from variations in thermal expansivity are theoretically and numerically studied in the context of rotating Rayleigh--Bénard convection in forms of two-dimensional (2D) rolls. The thermal expansivity increases with pressure (depth), and its variation is measured by a dimensionless factor $ε$. Utilizing an asymptotic expansion with weak nonlinearity, we derive an amplitude equation, revealing that NOB effects amplify the magnitude of convection. An $ε^2$-order NOB correction leads to a symmetry breaking about the horizontal mid-plane, manifested in the strengthening of convection near the bottom and its weakening near the top, forming bottom-heavy profiles. At $ε^3$-order, the conjunction of NOB effects and nonlinear advection leads to a horizontal symmetry breaking. The values of Taylor number and Prandlt number determine whether upward or downward plumes are stronger. Numerical calculations validate the theoretical analyses in weakly nonlinear regime. This work advances our understanding of hydrothermal plumes in some winter lakes on Earth, and in the subglacial oceans on icy moons as well as tracer transport from the seafloor to the ice shell.
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Submitted 10 August, 2024; v1 submitted 2 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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Improved modeling of in-ice particle showers for IceCube event reconstruction
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
S. K. Agarwalla,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
N. M. Amin,
K. Andeen,
G. Anton,
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
, et al. (394 additional authors not shown)
Abstract:
The IceCube Neutrino Observatory relies on an array of photomultiplier tubes to detect Cherenkov light produced by charged particles in the South Pole ice. IceCube data analyses depend on an in-depth characterization of the glacial ice, and on novel approaches in event reconstruction that utilize fast approximations of photoelectron yields. Here, a more accurate model is derived for event reconstr…
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The IceCube Neutrino Observatory relies on an array of photomultiplier tubes to detect Cherenkov light produced by charged particles in the South Pole ice. IceCube data analyses depend on an in-depth characterization of the glacial ice, and on novel approaches in event reconstruction that utilize fast approximations of photoelectron yields. Here, a more accurate model is derived for event reconstruction that better captures our current knowledge of ice optical properties. When evaluated on a Monte Carlo simulation set, the median angular resolution for in-ice particle showers improves by over a factor of three compared to a reconstruction based on a simplified model of the ice. The most substantial improvement is obtained when including effects of birefringence due to the polycrystalline structure of the ice. When evaluated on data classified as particle showers in the high-energy starting events sample, a significantly improved description of the events is observed.
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Submitted 22 April, 2024; v1 submitted 4 March, 2024;
originally announced March 2024.
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Nonproportionality of NaI(Tl) Scintillation Detector for Dark Matter Search Experiments
Authors:
S. M. Lee,
G. Adhikari,
N. Carlin,
J. Y. Cho,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. Fran. a,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
S. W. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim
, et al. (37 additional authors not shown)
Abstract:
We present a comprehensive study of the nonproportionality of NaI(Tl) scintillation detectors within the context of dark matter search experiments. Our investigation, which integrates COSINE-100 data with supplementary $γ$ spectroscopy, measures light yields across diverse energy levels from full-energy $γ$ peaks produced by the decays of various isotopes. These $γ$ peaks of interest were produced…
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We present a comprehensive study of the nonproportionality of NaI(Tl) scintillation detectors within the context of dark matter search experiments. Our investigation, which integrates COSINE-100 data with supplementary $γ$ spectroscopy, measures light yields across diverse energy levels from full-energy $γ$ peaks produced by the decays of various isotopes. These $γ$ peaks of interest were produced by decays supported by both long and short-lived isotopes. Analyzing peaks from decays supported only by short-lived isotopes presented a unique challenge due to their limited statistics and overlapping energies, which was overcome by long-term data collection and a time-dependent analysis. A key achievement is the direct measurement of the 0.87 keV light yield, resulting from the cascade following electron capture decay of $^{22}$Na from internal contamination. This measurement, previously accessible only indirectly, deepens our understanding of NaI(Tl) scintillator behavior in the region of interest for dark matter searches. This study holds substantial implications for background modeling and the interpretation of dark matter signals in NaI(Tl) experiments.
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Submitted 10 May, 2024; v1 submitted 14 January, 2024;
originally announced January 2024.
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Comprehensive peak-width analysis in matter-wave diffraction under grazing incidence conditions
Authors:
Lee Yeong Kim,
Do Won Kang,
Jong Chan Lee,
Eunmi Chae,
Wieland Schöllkopf,
Bum Suk Zhao
Abstract:
Thermal energy atom scattering at a surface with grazing incidence conditions is an innovative method for investigating dispersive atom-surface interactions with potential application in quantum sensing interferometry. The complete establishment of this technique would require a detailed peak analysis, which has yet to be achieved. We examined peak-width fluctuations in atomic and molecular beams…
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Thermal energy atom scattering at a surface with grazing incidence conditions is an innovative method for investigating dispersive atom-surface interactions with potential application in quantum sensing interferometry. The complete establishment of this technique would require a detailed peak analysis, which has yet to be achieved. We examined peak-width fluctuations in atomic and molecular beams diffracted by a grating under grazing incidence conditions. Careful measurements and analyses of the diffraction patterns of He atoms and D$_2$ molecules from three square-wave gratings with different periods and radii of curvature enabled the identification of factors influencing the variations in the width as a function of the grazing incidence angle. The effects of macroscopic surface curvature, grating magnification, and beam emergence are substantial under these conditions but negligible for incidence angles close to the normal. Our results shed light on the phenomena occurring in grazing incidence thermal energy atom scattering.
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Submitted 17 January, 2024; v1 submitted 21 November, 2023;
originally announced November 2023.
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Alpha backgrounds in NaI(Tl) crystals of COSINE-100
Authors:
G. Adhikari,
N. Carlin,
D. F. F. S. Cavalcante,
J. Y. Cho,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
S. W. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim
, et al. (38 additional authors not shown)
Abstract:
COSINE-100 is a dark matter direct detection experiment with 106 kg NaI(Tl) as the target material. 210Pb and daughter isotopes are a dominant background in the WIMP region of interest and are detected via beta decay and alpha decay. Analysis of the alpha channel complements the background model as observed in the beta/gamma channel. We present the measurement of the quenching factors and Monte Ca…
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COSINE-100 is a dark matter direct detection experiment with 106 kg NaI(Tl) as the target material. 210Pb and daughter isotopes are a dominant background in the WIMP region of interest and are detected via beta decay and alpha decay. Analysis of the alpha channel complements the background model as observed in the beta/gamma channel. We present the measurement of the quenching factors and Monte Carlo simulation results and activity quantification of the alpha decay components of the COSINE-100 NaI(Tl) crystals. The data strongly indicate that the alpha decays probabilistically undergo two possible quenching factors but require further investigation. The fitted results are consistent with independent measurements and improve the overall understanding of the COSINE-100 backgrounds. Furthermore, the half-life of 216Po has been measured to be 143.4 +/- 1.2 ms, which is consistent with and more precise than recent measurements.
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Submitted 30 January, 2024; v1 submitted 8 November, 2023;
originally announced November 2023.
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Search for inelastic WIMP-iodine scattering with COSINE-100
Authors:
G. Adhikari,
N. Carlin,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
J. H. Jo,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
D. H. Lee
, et al. (34 additional authors not shown)
Abstract:
We report the results of a search for inelastic scattering of weakly interacting massive particles (WIMPs) off $^{127}$I nuclei using NaI(Tl) crystals with a data exposure of 97.7 kg$\cdot$years from the COSINE-100 experiment. The signature of inelastic WIMP-$^{127}$I scattering is a nuclear recoil accompanied by a 57.6 keV $γ$-ray from the prompt deexcitation, producing a more energetic signal co…
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We report the results of a search for inelastic scattering of weakly interacting massive particles (WIMPs) off $^{127}$I nuclei using NaI(Tl) crystals with a data exposure of 97.7 kg$\cdot$years from the COSINE-100 experiment. The signature of inelastic WIMP-$^{127}$I scattering is a nuclear recoil accompanied by a 57.6 keV $γ$-ray from the prompt deexcitation, producing a more energetic signal compared to the typical WIMP nuclear recoil signal. We found no evidence for this inelastic scattering signature and set a 90 $\%$ confidence level upper limit on the WIMP-proton spin-dependent, inelastic scattering cross section of $1.2 \times 10^{-37} {\rm cm^{2}}$ at the WIMP mass 500 ${\rm GeV/c^{2}}$.
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Submitted 30 October, 2023; v1 submitted 19 July, 2023;
originally announced July 2023.
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More than magnetic isolation: Dynabeads as strong Raman reporters towards simultaneous capture and identification of targets
Authors:
Jongwan Lee,
Marissa McDonald,
Nikiwe Mhlanga,
Jeon Woong Kang,
Rohit Karnik,
Loza F. Tadesse
Abstract:
Dynabeads are superparamagnetic particles used for immunomagnetic purification of cells and biomolecules. Post-capture, however, target identification relies on tedious culturing, fluorescence staining and/or target amplification. Raman spectroscopy presents a rapid detection alternative, but current implementations target cells themselves with weak Raman signals. We present antibody-coated Dynabe…
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Dynabeads are superparamagnetic particles used for immunomagnetic purification of cells and biomolecules. Post-capture, however, target identification relies on tedious culturing, fluorescence staining and/or target amplification. Raman spectroscopy presents a rapid detection alternative, but current implementations target cells themselves with weak Raman signals. We present antibody-coated Dynabeads as strong Raman reporter labels whose effect can be considered a Raman parallel of immunofluorescent probes. Recent developments in techniques for separating target-bound Dynabeads from unbound Dynabeads makes such an implementation feasible. We deploy Dynabeads anti-Salmonella to bind and identify Salmonella enterica, a major foodborne pathogen. Dynabeads present signature peaks at 1000 and 1600 1/cm from aliphatic and aromatic C-C stretching of polystyrene, and 1350 1/cm and 1600 1/cm from amide, alpha-helix and beta-sheet of antibody coatings of the Fe2O3 core, confirmed with electron dispersive X-ray (EDX) imaging. Their Raman signature can be measured in dry and liquid samples even at single shot ~30 x 30-micrometer area imaging using 0.5 s, 7 mW laser acquisition with single and clustered beads providing a 44- and 68-fold larger Raman intensity compared to signature from cells. Higher polystyrene and antibody content in clusters yields to the larger signal intensity and conjugation to bacteria strengthens clustering as a bacterium can bind to more than one bead as observed via transmission electron microscopy (TEM). Our findings shed light on the intrinsic Raman reporter nature of Dynabeads, demonstrating their dual function for target isolation and detection without additional sample preparation, staining, or unique plasmonic substrate engineering, advancing their applications in heterogeneous samples like food, water, and blood.
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Submitted 21 July, 2023; v1 submitted 11 May, 2023;
originally announced May 2023.
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Measurement of Atmospheric Neutrino Mixing with Improved IceCube DeepCore Calibration and Data Processing
Authors:
IceCube Collaboration,
R. Abbasi,
M. Ackermann,
J. Adams,
S. K. Agarwalla,
J. A. Aguilar,
M. Ahlers,
J. M. Alameddine,
N. M. Amin,
K. Andeen,
G. Anton,
C. Argüelles,
Y. Ashida,
S. Athanasiadou,
S. N. Axani,
X. Bai,
A. Balagopal V.,
M. Baricevic,
S. W. Barwick,
V. Basu,
R. Bay,
J. J. Beatty,
K. -H. Becker,
J. Becker Tjus,
J. Beise
, et al. (383 additional authors not shown)
Abstract:
We describe a new data sample of IceCube DeepCore and report on the latest measurement of atmospheric neutrino oscillations obtained with data recorded between 2011-2019. The sample includes significant improvements in data calibration, detector simulation, and data processing, and the analysis benefits from a detailed treatment of systematic uncertainties, with significantly higher level of detai…
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We describe a new data sample of IceCube DeepCore and report on the latest measurement of atmospheric neutrino oscillations obtained with data recorded between 2011-2019. The sample includes significant improvements in data calibration, detector simulation, and data processing, and the analysis benefits from a detailed treatment of systematic uncertainties, with significantly higher level of detail since our last study. By measuring the relative fluxes of neutrino flavors as a function of their reconstructed energies and arrival directions we constrain the atmospheric neutrino mixing parameters to be $\sin^2θ_{23} = 0.51\pm 0.05$ and $Δm^2_{32} = 2.41\pm0.07\times 10^{-3}\mathrm{eV}^2$, assuming a normal mass ordering. The resulting 40\% reduction in the error of both parameters with respect to our previous result makes this the most precise measurement of oscillation parameters using atmospheric neutrinos. Our results are also compatible and complementary to those obtained using neutrino beams from accelerators, which are obtained at lower neutrino energies and are subject to different sources of uncertainties.
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Submitted 8 August, 2023; v1 submitted 24 April, 2023;
originally announced April 2023.
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Search for bosonic super-weakly interacting massive particles at COSINE-100
Authors:
G. Adhikari,
N. Carlin,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
J. H. Jo,
H. W. Joo,
W. G. Kang,
M. Kauer,
B. H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
D. H. Lee
, et al. (34 additional authors not shown)
Abstract:
We present results of a search for bosonic super-weakly interacting massive particles (BSW) as keV scale dark matter candidates that is based on an exposure of 97.7 kg$\cdot$year from the COSINE experiment. In this search, we employ, for the first time, Compton-like as well as absorption processes for pseudoscalar and vector BSWs. No evidence for BSWs is found in the mass range from 10…
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We present results of a search for bosonic super-weakly interacting massive particles (BSW) as keV scale dark matter candidates that is based on an exposure of 97.7 kg$\cdot$year from the COSINE experiment. In this search, we employ, for the first time, Compton-like as well as absorption processes for pseudoscalar and vector BSWs. No evidence for BSWs is found in the mass range from 10 $\mathrm{keV/c}^2$ to 1 $\mathrm{MeV/c}^2$, and we present the exclusion limits on the dimensionless coupling constants to electrons $g_{ae}$ for pseudoscalar and $κ$ for vector BSWs at 90% confidence level. Our results show that these limits are improved by including the Compton-like process in masses of BSW, above $\mathcal{O}(100\,\mathrm{keV/c}^2)$.
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Submitted 27 August, 2023; v1 submitted 3 April, 2023;
originally announced April 2023.
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Roadmap for Unconventional Computing with Nanotechnology
Authors:
Giovanni Finocchio,
Jean Anne C. Incorvia,
Joseph S. Friedman,
Qu Yang,
Anna Giordano,
Julie Grollier,
Hyunsoo Yang,
Florin Ciubotaru,
Andrii Chumak,
Azad J. Naeemi,
Sorin D. Cotofana,
Riccardo Tomasello,
Christos Panagopoulos,
Mario Carpentieri,
Peng Lin,
Gang Pan,
J. Joshua Yang,
Aida Todri-Sanial,
Gabriele Boschetto,
Kremena Makasheva,
Vinod K. Sangwan,
Amit Ranjan Trivedi,
Mark C. Hersam,
Kerem Y. Camsari,
Peter L. McMahon
, et al. (26 additional authors not shown)
Abstract:
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benefits in energy cost, computational speed, reduced footprint, cyber resilience, and processing power. The time is ripe for a roadmap for unconventional computing w…
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In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benefits in energy cost, computational speed, reduced footprint, cyber resilience, and processing power. The time is ripe for a roadmap for unconventional computing with nanotechnologies to guide future research, and this collection aims to fill that need. The authors provide a comprehensive roadmap for neuromorphic computing using electron spins, memristive devices, two-dimensional nanomaterials, nanomagnets, and various dynamical systems. They also address other paradigms such as Ising machines, Bayesian inference engines, probabilistic computing with p-bits, processing in memory, quantum memories and algorithms, computing with skyrmions and spin waves, and brain-inspired computing for incremental learning and problem-solving in severely resource-constrained environments. These approaches have advantages over traditional Boolean computing based on von Neumann architecture. As the computational requirements for artificial intelligence grow 50 times faster than Moore's Law for electronics, more unconventional approaches to computing and signal processing will appear on the horizon, and this roadmap will help identify future needs and challenges. In a very fertile field, experts in the field aim to present some of the dominant and most promising technologies for unconventional computing that will be around for some time to come. Within a holistic approach, the goal is to provide pathways for solidifying the field and guiding future impactful discoveries.
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Submitted 27 February, 2024; v1 submitted 17 January, 2023;
originally announced January 2023.
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Status and performance of the AMoRE-I experiment on neutrinoless double beta decay
Authors:
H. B. Kim,
D. H. Ha,
E. J. Jeon,
J. A. Jeon,
H. S. Jo,
C. S. Kang,
W. G. Kang,
H. S. Kim,
S. C. Kim,
S. G. Kim,
S. K. Kim,
S. R. Kim,
W. T. Kim,
Y. D. Kim,
Y. H. Kim,
D. H. Kwon,
E. S. Lee,
H. J. Lee,
H. S. Lee,
J. S. Lee,
M. H. Lee,
S. W. Lee,
Y. C. Lee,
D. S. Leonard,
H. S. Lim
, et al. (10 additional authors not shown)
Abstract:
AMoRE is an international project to search for the neutrinoless double beta decay of $^{100}$Mo using a detection technology consisting of magnetic microcalorimeters (MMCs) and molybdenum-based scintillating crystals. Data collection has begun for the current AMORE-I phase of the project, an upgrade from the previous pilot phase. AMoRE-I employs thirteen $^\mathrm{48depl.}$Ca$^{100}$MoO$_4$ cryst…
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AMoRE is an international project to search for the neutrinoless double beta decay of $^{100}$Mo using a detection technology consisting of magnetic microcalorimeters (MMCs) and molybdenum-based scintillating crystals. Data collection has begun for the current AMORE-I phase of the project, an upgrade from the previous pilot phase. AMoRE-I employs thirteen $^\mathrm{48depl.}$Ca$^{100}$MoO$_4$ crystals and five Li$_2$$^{100}$MoO$_4$ crystals for a total crystal mass of 6.2 kg. Each detector module contains a scintillating crystal with two MMC channels for heat and light detection. We report the present status of the experiment and the performance of the detector modules.
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Submitted 5 November, 2022;
originally announced November 2022.
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Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
N. Aggarwal,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
J. M. Alameddine,
A. A. Alves Jr.,
N. M. Amin,
K. Andeen,
T. Anderson,
G. Anton,
C. Argüelles,
Y. Ashida,
S. Athanasiadou,
S. Axani,
X. Bai,
A. Balagopal V.,
M. Baricevic,
S. W. Barwick,
V. Basu,
R. Bay,
J. J. Beatty,
K. -H. Becker
, et al. (359 additional authors not shown)
Abstract:
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical neutrinos between 1 GeV and 1 PeV, is deployed 1.45 km to 2.45 km below the surface of the ice sheet at the South Pole. The classification and reconstruction of events from the in-ice detectors play a central role in the analysis of data from IceCube. Reconstructing and classifying events is a challen…
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IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical neutrinos between 1 GeV and 1 PeV, is deployed 1.45 km to 2.45 km below the surface of the ice sheet at the South Pole. The classification and reconstruction of events from the in-ice detectors play a central role in the analysis of data from IceCube. Reconstructing and classifying events is a challenge due to the irregular detector geometry, inhomogeneous scattering and absorption of light in the ice and, below 100 GeV, the relatively low number of signal photons produced per event. To address this challenge, it is possible to represent IceCube events as point cloud graphs and use a Graph Neural Network (GNN) as the classification and reconstruction method. The GNN is capable of distinguishing neutrino events from cosmic-ray backgrounds, classifying different neutrino event types, and reconstructing the deposited energy, direction and interaction vertex. Based on simulation, we provide a comparison in the 1-100 GeV energy range to the current state-of-the-art maximum likelihood techniques used in current IceCube analyses, including the effects of known systematic uncertainties. For neutrino event classification, the GNN increases the signal efficiency by 18% at a fixed false positive rate (FPR), compared to current IceCube methods. Alternatively, the GNN offers a reduction of the FPR by over a factor 8 (to below half a percent) at a fixed signal efficiency. For the reconstruction of energy, direction, and interaction vertex, the resolution improves by an average of 13%-20% compared to current maximum likelihood techniques in the energy range of 1-30 GeV. The GNN, when run on a GPU, is capable of processing IceCube events at a rate nearly double of the median IceCube trigger rate of 2.7 kHz, which opens the possibility of using low energy neutrinos in online searches for transient events.
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Submitted 11 October, 2022; v1 submitted 7 September, 2022;
originally announced September 2022.
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Radon concentration variations at the Yangyang underground laboratory
Authors:
C. Ha,
Y. Jeong,
W. G. Kang,
J. Kim,
K. W. Kim,
S. K. Kim,
Y. D. Kim,
H. S. Lee,
M. H. Lee,
M. J. Lee,
Y. J. Lee,
K. M. Seo
Abstract:
The concentration of radon in the air has been measured in the 700 m-deep Yangyang underground laboratory between October 2004 and May 2022. The average concentrations in two experimental areas, called A6 and A5, were measured to be 53.4$\pm$0.2 Bq/m3 and 33.5$\pm$0.1 Bq/m3, respectively. The lower value in the A5 area reflects the presence of better temperature control and ventilation. The radon…
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The concentration of radon in the air has been measured in the 700 m-deep Yangyang underground laboratory between October 2004 and May 2022. The average concentrations in two experimental areas, called A6 and A5, were measured to be 53.4$\pm$0.2 Bq/m3 and 33.5$\pm$0.1 Bq/m3, respectively. The lower value in the A5 area reflects the presence of better temperature control and ventilation. The radon concentrations sampled within the two A5 experimental rooms' air are found to be correlated to the local surface temperature outside of the rooms, with correlation coefficients r = 0.22 and r = 0.70. Therefore, the radon concentrations display a seasonal variation, because the local temperature driven by the overground season influences air ventilation in the experimental areas. A fit on the annual residual concentrations finds that the amplitude occurs each year on August, 31$\pm$6 days.
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Submitted 21 September, 2022; v1 submitted 30 August, 2022;
originally announced September 2022.
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Low Energy Event Reconstruction in IceCube DeepCore
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
J. M. Alameddine,
A. A. Alves Jr.,
N. M. Amin,
K. Andeen,
T. Anderson,
G. Anton,
C. Argüelles,
Y. Ashida,
S. Axani,
X. Bai,
A. Balagopal V.,
S. W. Barwick,
B. Bastian,
V. Basu,
S. Baur,
R. Bay,
J. J. Beatty,
K. -H. Becker,
J. Becker Tjus
, et al. (360 additional authors not shown)
Abstract:
The reconstruction of event-level information, such as the direction or energy of a neutrino interacting in IceCube DeepCore, is a crucial ingredient to many physics analyses. Algorithms to extract this high level information from the detector's raw data have been successfully developed and used for high energy events. In this work, we address unique challenges associated with the reconstruction o…
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The reconstruction of event-level information, such as the direction or energy of a neutrino interacting in IceCube DeepCore, is a crucial ingredient to many physics analyses. Algorithms to extract this high level information from the detector's raw data have been successfully developed and used for high energy events. In this work, we address unique challenges associated with the reconstruction of lower energy events in the range of a few to hundreds of GeV and present two separate, state-of-the-art algorithms. One algorithm focuses on the fast directional reconstruction of events based on unscattered light. The second algorithm is a likelihood-based multipurpose reconstruction offering superior resolutions, at the expense of larger computational cost.
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Submitted 4 March, 2022;
originally announced March 2022.
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Three-year annual modulation search with COSINE-100
Authors:
COSINE-100 Collaboration,
:,
G. Adhikari,
E. Barbosa de Souza,
N. Carlin,
J. J. Choi,
S. Choi,
A. C. Ezeribe,
L. E. França,
C. Ha,
I. S. Hahn,
S. J. Hollick,
E. J. Jeon,
J. H. Jo,
H. W. Joo,
W. G. Kang,
M. Kauer,
H. Kim,
H. J. Kim,
J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim
, et al. (34 additional authors not shown)
Abstract:
COSINE-100 is a direct detection dark matter experiment that aims to test DAMA/LIBRA's claim of dark matter discovery by searching for a dark matter-induced annual modulation signal with NaI(Tl) detectors. We present new constraints on the annual modulation signal from a dataset with a 2.82 yr livetime utilizing an active mass of 61.3 kg, for a total exposure of 173 kg$\cdot$yr. This new result fe…
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COSINE-100 is a direct detection dark matter experiment that aims to test DAMA/LIBRA's claim of dark matter discovery by searching for a dark matter-induced annual modulation signal with NaI(Tl) detectors. We present new constraints on the annual modulation signal from a dataset with a 2.82 yr livetime utilizing an active mass of 61.3 kg, for a total exposure of 173 kg$\cdot$yr. This new result features an improved event selection that allows for both lowering the energy threshold to 1 keV and a more precise time-dependent background model. In the 1-6 keV and 2-6 keV energy intervals, we observe best-fit values for the modulation amplitude of 0.0067$\pm$0.0042 and 0.0051$\pm$0.0047 counts/(day$\cdot$kg$\cdot$keV), respectively, with a phase fixed at 152.5 days.
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Submitted 28 October, 2022; v1 submitted 16 November, 2021;
originally announced November 2021.
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Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Authors:
Xing Chen,
Flavio Abreu Araujo,
Mathieu Riou,
Jacob Torrejon,
Dafiné Ravelosona,
Wang Kang,
Weisheng Zhao,
Julie Grollier,
Damien Querlioz
Abstract:
Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques have fallen short of discovering the full differential equation of an experimental physical system. Here we show that a dynamical neural network, trained on a minimal amount of data, can predict the behavior of spintronic d…
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Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques have fallen short of discovering the full differential equation of an experimental physical system. Here we show that a dynamical neural network, trained on a minimal amount of data, can predict the behavior of spintronic devices with high accuracy and an extremely efficient simulation time, compared to the micromagnetic simulations that are usually employed to model them. For this purpose, we re-frame the formalism of Neural Ordinary Differential Equations (ODEs) to the constraints of spintronics: few measured outputs, multiple inputs and internal parameters. We demonstrate with Spin-Neural ODEs an acceleration factor over 200 compared to micromagnetic simulations for a complex problem -- the simulation of a reservoir computer made of magnetic skyrmions (20 minutes compared to three days). In a second realization, we show that we can predict the noisy response of experimental spintronic nano-oscillators to varying inputs after training Spin-Neural ODEs on five milliseconds of their measured response to different excitations. Spin-Neural ODE is a disruptive tool for developing spintronic applications in complement to micromagnetic simulations, which are time-consuming and cannot fit experiments when noise or imperfections are present. Spin-Neural ODE can also be generalized to other electronic devices involving dynamics.
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Submitted 23 July, 2021;
originally announced August 2021.
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Alpha backgrounds in the AMoRE-Pilot experiment
Authors:
V. Alenkov,
H. W. Bae,
J. Beyer,
R. S. Boiko,
K. Boonin,
O. Buzanov,
N. Chanthima,
M. K. Cheoun,
S. H. Choi,
F. A. Danevich,
M. Djamal,
D. Drung,
C. Enss,
A. Fleischmann,
A. Gangapshev,
L. Gastaldo,
Yu. M. Gavriljuk,
A. Gezhaev,
V. D. Grigoryeva,
V. Gurentsov,
D. H. Ha,
C. Ha,
E. J. Ha,
I. Hahn,
E. J. Jeon
, et al. (81 additional authors not shown)
Abstract:
The Advanced Mo-based Rare process Experiment (AMoRE)-Pilot experiment is an initial phase of the AMoRE search for neutrinoless double beta decay of $^{100}$Mo, with the purpose of investigating the level and sources of backgrounds. Searches for neutrinoless double beta decay generally require ultimately low backgrounds. Surface $α$ decays on the crystals themselves or nearby materials can deposit…
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The Advanced Mo-based Rare process Experiment (AMoRE)-Pilot experiment is an initial phase of the AMoRE search for neutrinoless double beta decay of $^{100}$Mo, with the purpose of investigating the level and sources of backgrounds. Searches for neutrinoless double beta decay generally require ultimately low backgrounds. Surface $α$ decays on the crystals themselves or nearby materials can deposit a continuum of energies that can be as high as the $Q$-value of the decay itself and may fall in the region of interest (ROI). To understand these background events, we studied backgrounds from radioactive contaminations internal to and on the surface of the crystals or nearby materials with Geant4-based Monte Carlo simulations. In this study, we report on the measured $α$ energy spectra fitted with the corresponding simulated spectra for six crystal detectors, where sources of background contributions could be identified through high energy $α$ peaks and continuum parts in the energy spectrum for both internal and surface contaminations. We determine the low-energy contributions from internal and surface $α$ contaminations by extrapolating from the $α$ background fitting model.
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Submitted 5 December, 2022; v1 submitted 16 July, 2021;
originally announced July 2021.
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The environmental monitoring system at the COSINE-100 experiment
Authors:
H. Kim,
G. Adhikari,
E. Barbosa de Souza,
N. Carlin,
J. J. Choi,
S. Choi,
M. Djamal,
A. C. Ezeribe,
L. E. França,
C. Ha,
I. S. Hahn,
E. J. Jeon,
J. H. Jo,
H. W. Joo,
W. G. Kang,
M. Kauer,
H. J. Kim,
K. W. Kim,
S. H. Kim,
S. K. Kim,
W. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
E. K. Lee
, et al. (28 additional authors not shown)
Abstract:
The COSINE-100 experiment is designed to test the DAMA experiment which claimed an observation of a dark matter signal from an annual modulation in their residual event rate. To measure the 1 %-level signal amplitude, it is crucial to control and monitor nearly all environmental quantities that might systematically mimic the signal. The environmental monitoring also helps ensure a stable operation…
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The COSINE-100 experiment is designed to test the DAMA experiment which claimed an observation of a dark matter signal from an annual modulation in their residual event rate. To measure the 1 %-level signal amplitude, it is crucial to control and monitor nearly all environmental quantities that might systematically mimic the signal. The environmental monitoring also helps ensure a stable operation of the experiment. Here, we describe the design and performance of the centralized environmental monitoring system for the COSINE-100 experiment.
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Submitted 28 November, 2021; v1 submitted 15 July, 2021;
originally announced July 2021.
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How does salinity shape ocean circulation and ice geometry on Enceladus and other icy satellites?
Authors:
Wanying Kang,
Tushar Mittal,
Suyash Bire,
Jean-Michel Campin,
John Marshall
Abstract:
Of profound astrobiological interest, Enceladus appears to have a global subsurface ocean that is salty, indicating water-rock reaction at present or in the past, important for its habitability. Here, we investigate how salinity and the partition of heat production between the silicate core and the ice shell affect ocean dynamics and the associated heat transport -- a key factor that determines th…
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Of profound astrobiological interest, Enceladus appears to have a global subsurface ocean that is salty, indicating water-rock reaction at present or in the past, important for its habitability. Here, we investigate how salinity and the partition of heat production between the silicate core and the ice shell affect ocean dynamics and the associated heat transport -- a key factor that determines the equilibrium ice shell geometry. Assuming steady state conditions, we show that the meridional overturning circulation of the ocean, driven by heat and salt exchange with the ice, has opposing signs at very low and very high salinities. Regardless of these differing circulations, heat and freshwater converge towards the equator, where the ice is thick, acting to homogenize thickness variations. In order to maintain the observed ice thickness variation, the polar-amplified ice dissipation needs to be strong enough and ocean heat convergence cannot overwhelm well-constrained heat loss rates through the thick equatorial ice sheet. This requirement is found violated if the main heat source is in the core rather than the ice shell, or if the ocean is very fresh or very salty. Instead, with a salinity of intermediate range, the temperature- and salinity-induced density gradient largely cancel one another, leading to much reduced overturning and equatorial heat convergence rates and consistent budgets in appearance of a significant ice dissipation.
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Submitted 12 May, 2022; v1 submitted 14 April, 2021;
originally announced April 2021.
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Effect of Random Fiber Network and Fracture Toughness on the Onset of Cavitation in Soft Materials
Authors:
Fuad Hasan,
Kah Al Mahmud,
Md Ishak Khan,
Wonmo Kang,
Ashfaq Adnan
Abstract:
Experimental and theoretical observations have agreed that the onset of cavitation in soft materials requires higher tensile pressure than pure water. The extra tensile pressure is required since the cavitating bubble needs to overcome the elastic energy in soft materials. In this manuscript, we have developed two models to study and quantify the extra tensile pressure. In the first approach, we p…
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Experimental and theoretical observations have agreed that the onset of cavitation in soft materials requires higher tensile pressure than pure water. The extra tensile pressure is required since the cavitating bubble needs to overcome the elastic energy in soft materials. In this manuscript, we have developed two models to study and quantify the extra tensile pressure. In the first approach, we proposed a strain energy based random fiber network (RFN) failure criteria in which interaction between the cavitating bubble and RFN is considered. Gelatin samples are prepared for different concentrations, and SEM images are used to study the microstructural properties of the RFN. A unit-cell model is introduced to evaluate the geometrical and mechanical properties of the RFN. The network strain energy formulation is then coupled with the bubble growth, and the critical condition is set as the fibers ultimate failure strain. We considered soft materials as homogeneous hyper-elastic Ogden material, and fracture-based failure criteria are proposed in the second approach. The critical energy release rate is considered for quantifying the extra tensile pressure. Both the models are then compared with the existing cavitation onset criteria of rubber like materials. The validation is done with the experimental results of threshold tensile pressure for different gelatin concentrations. We have found that due to the large distribution of the pore size in the network, the nucleation pressure is similar to water. Both models can moderately predict the extra tensile pressure within the intermediate range of gelatin concentrations. For low concentration, the network's non-affinity plays a significant role and must be incorporated. On the other hand, for higher concentrations, the entropic deformation dominates, and strain energy formulation is not adequate.
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Submitted 24 December, 2020;
originally announced December 2020.
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LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories
Authors:
R. Abbasi,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
C. Alispach,
A. A. Alves Jr.,
N. M. Amin,
R. An,
K. Andeen,
T. Anderson,
I. Ansseau,
G. Anton,
C. Argüelles,
S. Axani,
X. Bai,
A. Balagopal V.,
A. Barbano,
S. W. Barwick,
B. Bastian,
V. Basu,
V. Baum,
S. Baur,
R. Bay
, et al. (341 additional authors not shown)
Abstract:
We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino telescopes such as IceCube. The neutrino event generator allows for quick and flexible simulation of neutrino events within and around the detector volume, and implements the leading Standard Model neutrino interaction p…
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We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino telescopes such as IceCube. The neutrino event generator allows for quick and flexible simulation of neutrino events within and around the detector volume, and implements the leading Standard Model neutrino interaction processes relevant for neutrino observatories: neutrino-nucleon deep-inelastic scattering and neutrino-electron annihilation. In this paper, we discuss the event generation algorithm, the weighting algorithm, and the main functions of the publicly available code, with examples.
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Submitted 4 May, 2021; v1 submitted 18 December, 2020;
originally announced December 2020.
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Magnetic Skyrmions for Unconventional Computing
Authors:
Sai Li,
Wang Kang,
Xichao Zhang,
Tianxiao Nie,
Yan Zhou,
Kang L. Wang,
Weisheng Zhao
Abstract:
Improvements in computing performance have significantly slowed down over the past few years owing to the intrinsic limitations of computing hardware. However, the demand for data computing has increased exponentially. To solve this problem, tremendous attention has been focused on the continuous scaling of Moore's Law as well as the advanced non-von Neumann computing architecture. A rich variety…
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Improvements in computing performance have significantly slowed down over the past few years owing to the intrinsic limitations of computing hardware. However, the demand for data computing has increased exponentially. To solve this problem, tremendous attention has been focused on the continuous scaling of Moore's Law as well as the advanced non-von Neumann computing architecture. A rich variety of unconventional computing paradigms has been raised with the rapid development of nanoscale devices. Magnetic skyrmions, spin swirling quasiparticles, have been endowed with great expectations for unconventional computing due to their potential as the smallest information carriers by exploiting their physics and dynamics. In this paper, we provide an overview of the recent progress of skyrmion-based unconventional computing from a joint device-application perspective. This paper aims to build up a panoramic picture, analyze the remaining challenges, and most importantly to shed light on the outlook of skyrmion based unconventional computing for interdisciplinary researchers.
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Submitted 24 November, 2020; v1 submitted 23 November, 2020;
originally announced November 2020.
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Measurement of the Background Activities of a 100Mo-enriched Powder Sample for an AMoRE Crystal Material by using Fourteen High-Purity Germanium Detectors
Authors:
S. Y. Park,
K. I. Hahn,
W. G. Kang,
V. Kazalov,
G. W. Kim,
Y. D. Kim,
E. K. Lee,
M. H. Lee,
D. S. Leonard
Abstract:
The Advanced Molybdenum-based Rare process Experiment in its second phase (AMoRE-II) will search for neutrinoless double-beta (0ν\b{eta}\b{eta}) decay of 100Mo in 200 kg of molybdate crystals. To achieve the zero-background level in the energy range of the double-beta decay Q-value of 100Mo, the radioactive contamination levels in AMoRE crystals should be low. 100EnrMoO3 powder, which is enriched…
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The Advanced Molybdenum-based Rare process Experiment in its second phase (AMoRE-II) will search for neutrinoless double-beta (0ν\b{eta}\b{eta}) decay of 100Mo in 200 kg of molybdate crystals. To achieve the zero-background level in the energy range of the double-beta decay Q-value of 100Mo, the radioactive contamination levels in AMoRE crystals should be low. 100EnrMoO3 powder, which is enriched in the 100Mo isotope, is used to grow the AMoRE crystals. A shielded array of fourteen high-purity germanium detectors with 70% relative efficiency each was used for the measurement of background activities in a sample of 9.6-kg powder. The detector system named CAGe located at the Yangyang underground laboratory was designed for measuring low levels of radioactivity from natural radioisotopes or cosmogenic nuclides such as 228Ac, 228Th, 226Ra, 88Y, and 40K. The activities of 228Ac and 228Th in the powder sample were 0.88 \pm 0.12 mBq/kg and 0.669 \pm 0.087 mBq/kg, respectively. The activity of 226Ra was measured to be 1.50 \pm 0.23 mBq/kg. The activity of 88Y was 0.101 \pm 0.016 mBq/kg. The activity of 40K was found as 36.0 \pm 4.1 mBq/kg.
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Submitted 4 September, 2020;
originally announced September 2020.
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Development of an array of HPGe detectors with 980% relative efficiency
Authors:
D. S. Leonard,
I. S. Hahn,
W. G. Kang,
V. Kazalov,
G. W. Kim,
Y. D. Kim,
E. K. Lee,
M. H. Lee,
S. Y. Park,
E. Sala
Abstract:
Searches for new physics push experiments to look for increasingly rare interactions. As a result, detectors require increasing sensitivity and specificity, and materials must be screened for naturally occurring, background-producing radioactivity. Furthermore the detectors used for screening must approach the sensitivities of the physics-search detectors themselves, thus motivating iterative deve…
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Searches for new physics push experiments to look for increasingly rare interactions. As a result, detectors require increasing sensitivity and specificity, and materials must be screened for naturally occurring, background-producing radioactivity. Furthermore the detectors used for screening must approach the sensitivities of the physics-search detectors themselves, thus motivating iterative development of detectors capable of both physics searches and background screening. We report on the design, installation, and performance of a novel, low-background, fourteen-element high-purity germanium detector named the CAGe (CUP Array of Germanium), installed at the Yangyang underground laboratory in Korea.
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Submitted 1 September, 2020;
originally announced September 2020.
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Airborne dispersion of droplets during coughing: a physical model of viral transmission
Authors:
Hongying Li,
Fong Yew Leong,
George Xu,
Chang Wei Kang,
Keng Hui Lim,
Ban Hock Tan,
Chian Min Loo
Abstract:
The Covid-19 pandemic has focused attention on airborne transmission of viruses. Using realistic air flow simulation, we model droplet dispersion from coughing and study the transmission risk related to SARS-CoV-2. Although most airborne droplets are 8-16 $μ$m in diameter, the droplets with the highest transmission potential are, in fact, 32-40 $μ$m. Use of face masks is therefore recommended for…
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The Covid-19 pandemic has focused attention on airborne transmission of viruses. Using realistic air flow simulation, we model droplet dispersion from coughing and study the transmission risk related to SARS-CoV-2. Although most airborne droplets are 8-16 $μ$m in diameter, the droplets with the highest transmission potential are, in fact, 32-40 $μ$m. Use of face masks is therefore recommended for both personal and social protection. We found social distancing effective at reducing transmission potential across all droplet sizes. However, the presence of a human body 1 m away modifies the aerodynamics so that downstream droplet dispersion is enhanced, which has implications on safe distancing in queues. Based on median viral load, we found that an average of 0.55 viral copies is inhaled at 1 m distance per cough. Droplet evaporation results in significant reduction in droplet counts, but airborne transmission remains possible even under low humidity conditions.
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Submitted 4 August, 2020;
originally announced August 2020.
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Lowering the energy threshold in COSINE-100 dark matter searches
Authors:
G. Adhikari,
E. Barbosa de Souza,
N. Carlin,
J. J. Choi,
S. Choi,
M. Djamal,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
E. J. Jeon,
J. H. Jo,
W. G. Kang,
M. Kauer,
H. Kim,
H. J. Kim,
K. W. Kim,
S. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
E. K. Lee,
H. S. Lee,
J. Lee,
J. Y. Lee
, et al. (21 additional authors not shown)
Abstract:
COSINE-100 is a dark matter detection experiment that uses NaI(Tl) crystal detectors operating at the Yangyang underground laboratory in Korea since September 2016. Its main goal is to test the annual modulation observed by the DAMA/LIBRA experiment with the same target medium. Recently DAMA/LIBRA has released data with an energy threshold lowered to 1 keV, and the persistent annual modulation beh…
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COSINE-100 is a dark matter detection experiment that uses NaI(Tl) crystal detectors operating at the Yangyang underground laboratory in Korea since September 2016. Its main goal is to test the annual modulation observed by the DAMA/LIBRA experiment with the same target medium. Recently DAMA/LIBRA has released data with an energy threshold lowered to 1 keV, and the persistent annual modulation behavior is still observed at 9.5$σ$. By lowering the energy threshold for electron recoils to 1 keV, COSINE-100 annual modulation results can be compared to those of DAMA/LIBRA in a model-independent way. Additionally, the event selection methods provide an access to a few to sub-GeV dark matter particles using constant rate studies. In this article, we discuss the COSINE-100 event selection algorithm, its validation, and efficiencies near the threshold.
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Submitted 21 March, 2021; v1 submitted 28 May, 2020;
originally announced May 2020.
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Measurement of the cosmic muon annual and diurnal flux variation with the COSINE-100 detector
Authors:
COSINE-100 Collaboration,
:,
H. Prihtiadi,
G. Adhikari,
E. Barbosa de Souza,
N. Carlin,
J. J. Choi,
S. Choi,
M. Djamal,
A. C. Ezeribe,
L. E. França,
C. Ha,
I. S. Hahn,
E. J. Jeon,
J. H. Jo,
W. G. Kang,
M. Kauer,
H. Kim,
H. J. Kim,
K. W. Kim,
S. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
E. K. Lee
, et al. (23 additional authors not shown)
Abstract:
We report measurements of annual and diurnal modulations of the cosmic-ray muon rate in the Yangyang underground laboratory (Y2L) using 952 days of COSINE-100 data acquired between September 2016 and July 2019. A correlation of the muon rate with the atmospheric temperature is observed and its amplitude on the muon rate is determined. The effective atmospheric temperature and muon rate variations…
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We report measurements of annual and diurnal modulations of the cosmic-ray muon rate in the Yangyang underground laboratory (Y2L) using 952 days of COSINE-100 data acquired between September 2016 and July 2019. A correlation of the muon rate with the atmospheric temperature is observed and its amplitude on the muon rate is determined. The effective atmospheric temperature and muon rate variations are positively correlated with a measured effective temperature coefficient of $α_{T}$ = 0.80 $\pm$ 0.11. This result is consistent with a model of meson production in the atmosphere. We also searched for a diurnal modulation in the underground muon rate by comparing one-hour intervals. No significant diurnal modulation of the muon rate was observed.
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Submitted 28 May, 2020; v1 submitted 27 May, 2020;
originally announced May 2020.
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Measurement of the Background Activities of a 100Mo-enriched powder sample for AMoRE crystal material using a single high purity germanium detector
Authors:
Su-yeon Park,
Insik Hahn,
Woon Gu Kang,
Gowoon Kim,
Eun Kyung Lee,
Douglas S. Leonard,
Vladimir Kazalov,
Yeong Duk Kim,
Moo Hyun Lee,
Elena Sala
Abstract:
The Advanced Molybdenum-based Rare process Experiment (AMoRE) searches for neutrino-less double-beta (0ν\b{eta}\b{eta}) decay of 100Mo in enriched molybdate crystals. The AMoRE crystals must have low levels of radioactive contamination to achieve low background signals with energies near the Q-value of the 100Mo 0ν\b{eta}\b{eta} decay. To produce low-activity crystals, radioactive contaminants in…
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The Advanced Molybdenum-based Rare process Experiment (AMoRE) searches for neutrino-less double-beta (0ν\b{eta}\b{eta}) decay of 100Mo in enriched molybdate crystals. The AMoRE crystals must have low levels of radioactive contamination to achieve low background signals with energies near the Q-value of the 100Mo 0ν\b{eta}\b{eta} decay. To produce low-activity crystals, radioactive contaminants in the raw materials used to form the crystals must be controlled and quantified. 100EnrMoO3 powder, which is enriched in the 100Mo isotope, is of particular interest as it is the source of 100Mo in the crystals. A high-purity germanium detector having 100% relative efficiency, named CC1, is being operated in the Yangyang underground laboratory. Using CC1, we collected a gamma spectrum from a 1.6-kg 100EnrMoO3 powder sample enriched to 96.4% in 100Mo. Activities were analyzed for the isotopes 228Ac, 228Th, 226Ra, and 40K. They are long-lived naturally occurring isotopes that can produce background signals in the region of interest for AMoRE. Activities of both 228Ac and 228Th were < 1.0 mBq/kg at 90% confidence level (C.L.). The activity of 226Ra was measured to be 5.1 \pm 0.4 (stat) \pm 2.2 (syst) mBq/kg. The 40K activity was found as < 16.4 mBq/kg at 90% C.L.
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Submitted 11 August, 2020; v1 submitted 20 May, 2020;
originally announced May 2020.
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Growth and development of pure Li2MoO4 crystals for rare event experiment at CUP
Authors:
J. K. Son,
J. S. Choe,
O. Gileva,
I. S. Hahn,
W. G. Kang,
D. Y. Kim,
G. W. Kim,
H. J. Kim,
Y. D. Kim,
C. H. Lee,
E. K. Lee,
M. H. Lee,
D. S. Leonard,
H. K. Park,
S. Y. Park,
S. J. Ra,
K. A. Shin
Abstract:
The Center for Underground Physics (CUP) of the Institute for Basic Science (IBS) is searching for the neutrinoless double-beta decay (0ν\b{eta}\b{eta}) of 100Mo in the molybdate crystals of the AMoRE experiment. The experiment requires pure scintillation crystals to minimize internal backgrounds that can affect the 0ν\b{eta}\b{eta} signal. For the last few years, we have been growing and studying…
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The Center for Underground Physics (CUP) of the Institute for Basic Science (IBS) is searching for the neutrinoless double-beta decay (0ν\b{eta}\b{eta}) of 100Mo in the molybdate crystals of the AMoRE experiment. The experiment requires pure scintillation crystals to minimize internal backgrounds that can affect the 0ν\b{eta}\b{eta} signal. For the last few years, we have been growing and studying Li2MoO4 crystals in a clean-environment facility to minimize external contamination during the crystal growth. Before growing Li2100MoO4 crystal, we have studied Li2natMoO4 crystal growth by a conventional Czochralski (CZ) grower. We grew a few different kinds of Li2natMO4 crystals using different raw materials in a campaign to minimize impurities. We prepared the fused Al2O3 refractories for the growth of ingots. Purities of the grown crystals were measured with high purity germanium detectors and by inductively coupled plasma mass spectrometry. The results show that the Li2MoO4 crystal has purity levels suitable for rare-event experiments. In this study, we present the growth of Li2MoO4 crystals at CUP and their purities.
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Submitted 14 May, 2020;
originally announced May 2020.
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Original Research By Young Twinkle Students (ORBYTS): Ephemeris Refinement of Transiting Exoplanets
Authors:
Billy Edwards,
Quentin Changeat,
Kai Hou Yip,
Angelos Tsiaras,
Jake Taylor,
Bilal Akhtar,
Josef AlDaghir,
Pranup Bhattarai,
Tushar Bhudia,
Aashish Chapagai,
Michael Huang,
Danyaal Kabir,
Vieran Khag,
Summyyah Khaliq,
Kush Khatri,
Jaidev Kneth,
Manisha Kothari,
Ibrahim Najmudin,
Lobanaa Panchalingam,
Manthan Patel,
Luxshan Premachandran,
Adam Qayyum,
Prasen Rana,
Zain Shaikh,
Sheryar Syed
, et al. (38 additional authors not shown)
Abstract:
We report follow-up observations of transiting exoplanets that have either large uncertainties (>10 minutes) in their transit times or have not been observed for over three years. A fully robotic ground-based telescope network, observations from citizen astronomers and data from TESS have been used to study eight planets, refining their ephemeris and orbital data. Such follow-up observations are k…
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We report follow-up observations of transiting exoplanets that have either large uncertainties (>10 minutes) in their transit times or have not been observed for over three years. A fully robotic ground-based telescope network, observations from citizen astronomers and data from TESS have been used to study eight planets, refining their ephemeris and orbital data. Such follow-up observations are key for ensuring accurate transit times for upcoming ground and space-based telescopes which may seek to characterise the atmospheres of these planets. We find deviations from the expected transit time for all planets, with transits occurring outside the 1 sigma uncertainties for seven planets. Using the newly acquired observations, we subsequently refine their periods and reduce the current predicted ephemeris uncertainties to 0.28 - 4.01 minutes. A significant portion of this work has been completed by students at two high schools in London as part of the Original Research By Young Twinkle Students (ORBYTS) programme.
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Submitted 4 May, 2020;
originally announced May 2020.
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The COSINE-100 Liquid Scintillator Veto System
Authors:
G. Adhikari,
E. Barbosa de Souza,
N. Carlin,
J. J. Choi,
S. Choi,
M. Djamal,
A. C. Ezeribe,
L. E. Franca,
C. Ha,
I. S. Hahn,
E. J. Jeon,
J. H. Jo,
W. G. Kang,
M. Kauer,
H. Kim,
H. J. Kim,
K. W. Kim,
S. K. Kim,
Y. D. Kim,
Y. H. Kim,
Y. J. Ko,
E. K. Lee,
H. S. Lee,
J. Lee,
J. Y. Lee
, et al. (21 additional authors not shown)
Abstract:
This paper describes the liquid scintillator veto system for the COSINE-100 dark matter experiment and its performance. The COSINE-100 detector consists of eight NaI(Tl) crystals immersed in 2200~L of linear alkylbenzene-based liquid scintillator. The liquid scintillator tags between 65 and 75\% of the internal $^{40}$K background in the 2--6 keV energy region. We also describe the background mode…
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This paper describes the liquid scintillator veto system for the COSINE-100 dark matter experiment and its performance. The COSINE-100 detector consists of eight NaI(Tl) crystals immersed in 2200~L of linear alkylbenzene-based liquid scintillator. The liquid scintillator tags between 65 and 75\% of the internal $^{40}$K background in the 2--6 keV energy region. We also describe the background model for the liquid scintillator, which is primarily used to assess its energy calibration and threshold.
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Submitted 14 May, 2021; v1 submitted 5 April, 2020;
originally announced April 2020.
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Efficient Green Emission from Edge States in Graphene Perforated by Nitrogen Plasma Treatment
Authors:
N N Kovaleva,
D Chvostova,
Z Potůček,
H D Cho,
Xiao Fu,
L Fekete,
J Pokorny,
Z Bryknar,
K I Kugel,
A Dejneka,
T W Kang,
Gennady N Panin,
F V Kusmartsev
Abstract:
Plasma functionalization of graphene is one of the facile ways to tune its doping level without the need for wet chemicals making graphene photoluminescent. Microscopic corrugations in the two-dimensional structure of bilayer CVD graphene having a quasi-free-suspended top layer, such as graphene ripples, nanodomes, and bubbles, may significantly enhance local reactivity leading to etching effects…
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Plasma functionalization of graphene is one of the facile ways to tune its doping level without the need for wet chemicals making graphene photoluminescent. Microscopic corrugations in the two-dimensional structure of bilayer CVD graphene having a quasi-free-suspended top layer, such as graphene ripples, nanodomes, and bubbles, may significantly enhance local reactivity leading to etching effects on exposure to plasma. Here, we discovered that bilayer CVD graphene treated with nitrogen plasma exhibits efficient UV-green-red emission, where the excitation at 250 nm leads to photoluminescence with the peaks at 390, 470, and 620 nm, respectively. By using Raman scattering and spectroscopic ellipsometry, we investigated doping effects induced by oxygen or nitrogen plasma on the optical properties of single- and bilayer CVD graphene. The surface morphology of the samples was studied by atomic force microscopy. It is revealed that the top sheet of bilayer graphene becomes perforated after the treatment by nitrogen plasma. Our comprehensive study indicates that the dominant green emission is associated with the edge defect structure of perforated graphene filled with nitrogen. The discovered efficient emission appearing in nitrogen plasma treated perforated graphene may have a significant potential for the development of advanced optoelectronic materials.
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Submitted 19 November, 2019;
originally announced November 2019.