Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Smoothing and spatial verification of global fields
Gregor Skok, Katarina Kosovelj
https://arxiv.org/abs/2412.00936 https://mastoxiv.page/@arXiv_physicsaoph_bot/113587890587543610
- Radiosonde-constrained reconstructions reveal a weakening Northern Hadley circulation
Matic Pikovnik, \v{Z}iga Zaplotnik
https://arxiv.org/abs/2503.05331 https://mastoxiv.page/@arXiv_physicsaoph_bot/114137034331234752
- Non-stationary time series attribution for heatwaves over Europe
Pascal Meurer, Sebastian Buschow, Svenja Szemkus, Petra Friederichs
https://arxiv.org/abs/2601.05841 https://mastoxiv.page/@arXiv_physicsaoph_bot/115881278944409798
- Enabling High-Accuracy Data Assimilation with Limited Ensembles via Machine Learning-Based Covari...
Zhou Yao, Zhilin Li, Li Zhao, Zeng Liu, Zhaokuan Lu, Seungnam Kim, Guangyao Wang
https://arxiv.org/abs/2605.11639 https://mastoxiv.page/@arXiv_physicsaoph_bot/116566237831166337
toXiv_bot_toot
📰 Vielen Dank für Eure #Spenden zur Unterstützung der Technikkosten, um alles am Laufen zu halten. Shoutout an alle #Steady-Förderer! 👍
Es geht los: Die vermaledeiten Amazon-Affiliate-Links werden seit Februar schrittweise gelöscht.
Hier kann man Steady-Mäzen werden:
The newly founded German Society for Planetary Research (#DGP) will be holding its 1st Annual Meeting, the #DGP2026, from March 16th, 2026 to March 18th, 2026 in Berlin. Registration is still open until March 1st, 2026. More infos here:
The mediocrity of well-paid people whose only job is to make the line go up is really something to behold.
#KLM #inspirationalUpsellHeader #inspirationalUpsellToggle…
Got myself a native USD scene loader for Godot using the Pixar library.
This is from Robin’s page who need snipped me: https://rystorm.com/blog/usd-example-assets-v1-1
Will we ever see the shooter again, hear anything about him, or will it be like he hardly existed, like a second page of search results?
The truth itself seems to be in more danger than potus ever was.
#USpol #WHCD
Ahh I just noticed that when I import GPX tracks into #wanderer, it creates routes but no activity. That's why my stats page is empty (and as I found it out, I remember that I asked that... A long while ago).
Now I wonder, if I want to import and add the activities for 2026... Doing it retrospectively for 2025 is too much effort to me (with too little value). 🤔
RE: https://mastodon.social/@arstechnica/116618619694373891
“‘To cut and paste page by page, the text from each page would have been an hour’s worth of work, of mindless cutting and pasting. ChatGPT did it in about four seconds.’
To which the obv…
edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 960 nodes and 1308 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
[2026-02-26 Thu (UTC), 7 new articles found for physics.flu-dyn Fluid Dynamics]
toXiv_bot_toot
Application of the aperiodic defect model to a negatively charged monovacancy in phosphorene
Charlotte Rickert, Lily Barta, Ernst-Christian Flach, Daniel Kats, Denis Usvyat
https://arxiv.org/abs/2603.23761 https://arxiv.org/pdf/2603.23761 https://arxiv.org/html/2603.23761
arXiv:2603.23761v1 Announce Type: new
Abstract: We apply the recently introduced aperiodic defect model (ADM) to a negatively charged monovacancy in a phosphorene monolayer. In contrast to conventional supercell approaches, the ADM treats a single defect embedded in the true non-defective crystalline mean field thereby avoiding spurious defect-defect interactions and the need for charge corrections. At the same time, it effectively reduces the calculation to a fragment, enabling the use of high-level molecular electronic-structure methods. Converging the Hartree-Fock and correlation contributions to the thermodynamic limit yields a benchmark CCSD(T)/POB-TZVP-rev2 formation energy of 0.91 eV for the negatively charged monovacancy in the (5|9) configuration. The excitation energy to the lowest singlet excited state of this defect at the EOM-CCSD/POB-TZVP-rev2 level is found to be 1.95 eV. Overall, the ADM provides a highly promising route towards quantitatively accurate and systematically improvable descriptions of defects in solids and on surfaces, bridging the gap between solid-state physics and molecular quantum chemistry.
toXiv_bot_toot
RE: https://mastodon.social/@botgov/116284820151085855
bebest, exec office name that has a web page with details on flotus program
A multi-ion optical clock with $\mathbf{5 \times 10^{-19}}$ uncertainty
Melina Filzinger, Martin R. Steinel, Jian Jiang, Daniel Bennett, Tanja E. Mehlst\"aubler, Ekkehard Peik, Nils Huntemann
https://arxiv.org/abs/2603.23446
RAC: Relation-Aware Cache Replacement for Large Language Models
Yuchong Wu, Zihuan Xu, Wangze Ni, Peng Cheng, Lei Chen, Xuemin Lin, Heng Tao Shen, Kui Ren
https://arxiv.org/abs/2602.21547
Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
Gabriel Melo, Leonardo Santiago, Peter Y. Lu
https://arxiv.org/abs/2604.21097 https://
[2026-02-26 Thu (UTC), no new articles found for nlin.PS Pattern Formation and Solitons]
toXiv_bot_toot
Llarull type theorems for bands in Three and Four dimensions
Xiaoxiang Chai, Xueyuan Wan
https://arxiv.org/abs/2602.21813 https://arxiv.org/pdf/2602.21813 https://arxiv.org/html/2602.21813
arXiv:2602.21813v1 Announce Type: new
Abstract: Llarull's theorem asserts that the scalar curvature and the metric on the $n$-sphere cannot be bounded below at the same time by those of the standard $n$-sphere. Using the warped $\mu$-bubble method, we develop Llarull type theorems for three and four-dimensional bands with spectral scalar curvature bounds.
toXiv_bot_toot
Hidden Higher-Order Vulnerabilities in Simplicial Complexes Revealed by Branch-Consistent Functional Robustness
Kaiming Luo
https://arxiv.org/abs/2603.24286 https://arxiv.org/pdf/2603.24286 https://arxiv.org/html/2603.24286
arXiv:2603.24286v1 Announce Type: new
Abstract: Robustness of higher-order networks is often quantified by the instantaneous smallest positive eigenvalue of the Hodge $1$-Laplacian under simplex deletion. We show that this observable is generically ill-defined: along a deletion trajectory, eigenvalue branches can switch, so the quantity being monitored may correspond to different nonharmonic modes at different steps. The primary issue is therefore definitional rather than algorithmic. We resolve it by fixing the first nonharmonic branch of the intact complex and following that same branch throughout the damage process, which defines a branch-consistent functional robustness. Triangle sensitivities then follow directly from first-order perturbation theory, making the resulting mode-sensitive deletion protocol a consequence of the observable itself rather than an independent heuristic. Across synthetic and empirical clique complexes, removing only a small fraction of triangles is sufficient to drive the tracked mode to collapse, while graph-level observables remain unchanged because the $1$-skeleton is exactly preserved. The same framework also reveals bridge-like localization of functionally critical simplices and provides a compact predictor of dynamical timescales.
toXiv_bot_toot
Progress in #Firefox for #JpegXL: While the latest nightly for Android still needs image.jxl.enabled=true in about:config, it now renders
https://
This story about prediction markets spoiling reality shows is funny because a few years ago a UK bookmaker gave UK newspapers a bullshit story about the friends and family of BBC employees, with inside knowledge, betting on the Bake Off winner. (Which some dutifully ran as a front-page anti-BBC piece.)
The reason you knew it was bullshit is that UK bookmakers don't take bets on events that have already occurred.
Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
https://arxiv.org/abs/2605.23403 https://mastoxiv.page/@arXiv_csLG_bot/116634262222667592
toXiv_bot_toot
[2026-02-26 Thu (UTC), 7 new articles found for physics.flu-dyn Fluid Dynamics]
toXiv_bot_toot
Application of the aperiodic defect model to a negatively charged monovacancy in phosphorene
Charlotte Rickert, Lily Barta, Ernst-Christian Flach, Daniel Kats, Denis Usvyat
https://arxiv.org/abs/2603.23761
[2026-03-26 Thu (UTC), no new articles found for q-bio.PE Populations and Evolution]
toXiv_bot_toot
🥳 New Kitten Release
• `KittenComponent` (and thereby `KittenPage`) gains an `emit()` method.
Use this to bubble events from your page to all child components or from any component to all of its child components.
This is useful, for example, for setting the state of a page or a component where each child component knows how to present itself for that state.
(That, in turn, is useful if you want to be able to restore state based on URLs.)
The naming convention…
»Die Kunst, die uns lehrt, die Nahrungsstoffe, welche uns die Natur verschwenderisch reicht, so zu behandeln, daß daraus eine gesunde und schmackhafte Speise bereitet wird, ist gar nicht leicht, nie ist dieselbe ohne Nachdenken, Vorsicht und Mühe zu erreichen.«
Aus: Sophie Wilhelmine Scheibler – Allgemeines Deutsches Kochbuch für alle Stände, Leipzig, 1887. #kochen
In-orbit Test of the Weak Equivalence Principle with Atom Interferometry
Dan-Fang Zhang, Jing-Ting Li, Wen-Zhang Wang, Wei-Hao Xu, Jia-Yi Wei, Xiao Li, Yi-Bo Wang, Dong-Feng Gao, Jia-Qi Zhong, Biao Tang, Lin Zhou, Run-Bing Li, Huan-Yao Sun, Qun-Feng Chen, Lei Qin, Mei-zhen An, Zong-Feng Li, Shu-Quan Wang, Xiao-Xiao Guo, Yao Tian, Xi-He Yu, Hong-En Zhong, Xi Chen, Jin Wang, Ming-Sheng Zhan
I/O Optimizations for Graph-Based Disk-Resident Approximate Nearest Neighbor Search: A Design Space Exploration
Liang Li, Shufeng Gong, Yanan Yang, Yiduo Wang, Jie Wu
https://arxiv.org/abs/2602.21514
[2026-03-25 Wed (UTC), no new articles found for physics.pop-ph Popular Physics]
toXiv_bot_toot
Quadric surfaces of revolution in the 3-sphere as Weingarten surfaces
Ildefonso Castro, Daniel L\'opez-L\'opez
https://arxiv.org/abs/2602.21785 https://arxiv.org/pdf/2602.21785 https://arxiv.org/html/2602.21785
arXiv:2602.21785v1 Announce Type: new
Abstract: The study of quadric surfaces of revolution is a cornerstone of classical Euclidean geometry, but its extension to the three-dimensional sphere $\mathbb{S}^3$ has not been sufficiently explored. This article addresses this important gap by providing a rigorous classification and characterization of non-degenerate quadric surfaces of revolution in $\mathbb{S}^3$, namely spherical ellipsoids, hyperboloids and paraboloids, generated by the rotation of spherical conics around a geodesic axis containing their foci or is orthogonal to them.
Using the concept of spherical angular momentum as a prominent geometric invariant, we discover that these surfaces constitute a remarkable class of Weingarten surfaces and prove that they are uniquely characterised by a specific cubic functional relation between their principal curvatures. This result not only provides a unified description of spherical quadric surfaces of revolution, but also highlights a profound geometric universality, reflecting exactly the same cubic Weingarten relations observed in their Euclidean and Lorentzian counterparts.
toXiv_bot_toot
Nonlocal-coupling-based control of coherence resonance in an ensemble of non-excitable oscillators
Aleksey Ryabov, Vladimir V. Semenov
https://arxiv.org/abs/2603.24210 https://arxiv.org/pdf/2603.24210 https://arxiv.org/html/2603.24210
arXiv:2603.24210v1 Announce Type: new
Abstract: It is shown that nonlocal coupling provides for controlling the collective noise-induced dynamics of non-excitable oscillators in the regime of coherence resonance. This effect is demonstrated by means of numerical simulation on an example of coupled generalized Van der Pol oscillators near the saddle-node bifurcation of limit cycles. In particular, it has been established that increasing the coupling radius allows to enhance the effect of coherence resonance which is reflected in the evolution of the dependence of the correlation time on the noise intensity and the power spectrum transformations. Nonlocal coupling is considered as an intermediate option between local and global coupling topologies which are also discussed as a tool for controlling coherence resonance.
toXiv_bot_toot
Atmosphere as a steam engine
Anastassia Makarieva, Andrei Nefiodov
https://arxiv.org/abs/2605.23875 https://arxiv.org/pdf/2605.23875 https://arxiv.org/html/2605.23875
arXiv:2605.23875v1 Announce Type: new
Abstract: Earth's atmosphere operates a steam cycle in which water vapor evaporates from the surface, expands, condenses, and returns as precipitation. The Clausius-Clapeyron law relates the incremental expansion work of saturated water vapor to latent heat converted at a Carnot efficiency corresponding to the temperature difference between evaporation and condensation. We generalize this relation to an atmospheric column with condensation occurring over a range of heights and derive the expansion work per mole of precipitated water. This includes the gravitational work associated with lifting moist air to the mean condensation height, the expansion work generated by condensation, and a correction for incomplete condensation. Using GPCP v3.3 precipitation and observational constraints on condensation height, we estimate the global steam-engine power as $W_v=4.4\pm0.9$ W/m2, close to an independent estimate of total atmospheric power, $W=W_P W_K\simeq4.3\pm0.6$ W/m2, obtained from the gravitational power of precipitation and kinetic energy generation by horizontal pressure gradients diagnosed from MERRA-2. Kinetic energy generation is $W_K\simeq3.2\pm0.3$ W/m2, of which at least two thirds is generated in the lower atmosphere. The smaller upper-atmospheric contribution, dominated by temperature-related pressure gradients, is comparable to Lorenz available potential energy generation. The agreement between steam-engine and atmospheric power is linked to condensation and precipitation fallout. By removing water from the atmospheric gas phase and enabling column-mass redistribution, precipitation maintains surface pressure gradients that drive cross-isobaric flow in the frictional lower atmosphere. The steam-engine framework thus provides a thermodynamic basis for condensation-induced atmospheric dynamics and identifies a major lower-atmospheric power pathway associated with water phase transitions.
toXiv_bot_toot
Finite-nuclear-size effect for hydrogenlike ions under high external pressure
Dengshan Liu, Huihui Xie, Pengxiang Du, Tianshuai Shang, Jian Li, Jiguang Li, Tomoya Naito
https://arxiv.org/abs/2603.22901
Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"?
Germ\'an T. Eizaguirre, Lars Tissen, Marc S\'anchez-Artigas
https://arxiv.org/abs/2602.21480
Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
David Holzm\"uller, Francis Bach
Generalized Frobenius Manifold Structures on the Orbit Spaces of Affine Weyl Groups II
Lingrui Jiang, Si-qi Liu, Yingchao Tian, Youjin Zhang
https://arxiv.org/abs/2602.21532 https://arxiv.org/pdf/2602.21532 https://arxiv.org/html/2602.21532
arXiv:2602.21532v1 Announce Type: new
Abstract: This is a sequel to arXiv:2506.13656, in which an approach to construct a class of generalized Frobenius manifold structures on the orbit spaces of affine Weyl groups is presented. In this paper we apply this construction to the affine Weyl groups of type $A_\ell, B_\ell, C_\ell$ and $D_\ell$.
toXiv_bot_toot
[2026-03-26 Thu (UTC), 2 new articles found for nlin.AO Adaptation and Self-Organizing Systems]
toXiv_bot_toot
Prandtl number dependence of rotating internally heated convection
Rodolfo Ostilla-M\'onico, Ali Arslan
https://arxiv.org/abs/2602.21860 https://arxiv.org/pdf/2602.21860 https://arxiv.org/html/2602.21860
arXiv:2602.21860v1 Announce Type: new
Abstract: We investigate the influence of the Prandtl number ($Pr$) on penetrative internally heated convection (IHC) in both non-rotating and rotating regimes using three-dimensional direct numerical simulations. By varying $Pr$ between 0.1 and 100, we show that the global mean temperature $\langle \overline{T} \rangle$ is not very sensitive to $Pr$, and is primarily controlled by the dynamics of the unstably stratified top boundary layer. In contrast, the Prandtl number dictates the behavior of the lower, stably stratified region and affects the vertical convective heat flux $\langle \overline{wT} \rangle$. In the non-rotating case, low $Pr$ fluids exhibit a ``symmetry recovery'' where turbulent stirring agitates the stable layer, whereas high $Pr$ fluids transition toward a ``dead zone'' of suppressed fluctuations. Under rotation, we find that $\langle \overline{wT} \rangle$ is enhanced across all Prandtl numbers, though global cooling efficiency, measured by the reduction in $\langle \overline{T} \rangle$, is only improved for $Pr\ge1$ due to the emergence of Ekman pumping. These results demonstrate that while IHC shares some scaling similarities with Rayleigh-B\'enard convection at the top boundary, the internal stratification creates a unique sensitivity to $Pr$ that is critical for understanding heat transport in planetary and stellar interiors.
toXiv_bot_toot
Electronic properties of the Radium-monochalcogenides RaX (X = O,S,Se) and RaO /- ions
Mateo Londo\~no, Jes\'us P\'erez-R\'ios
https://arxiv.org/abs/2603.24590 https://arxiv.org/pdf/2603.24590 https://arxiv.org/html/2603.24590
arXiv:2603.24590v1 Announce Type: new
Abstract: We present a theoretical investigation on the electronic structure and properties of radium monochalcogenides, with chalcogens O, S, and Se, as well as the ionic species RaO /-. Our approach combines fully relativistic and partially relativistic quantum-chemistry methods. Electronic properties are obtained using the exact two-component Hamiltonian-based coupled-cluster approach with single, double, and perturbative triple excitations [CCSD(T) X2C], while potential energy curves are computed using an internally contracted multireference configuration interaction method, including relativistic effects through small-core pseudopotentials and Pauli-Breit operator diagonalization (MRCI Q ECP SO). The dimers exhibit very large permanent dipole moments and sizable dipolar polarizabilities, while the Franck-Condon factors among the lowest electronic states are highly non-diagonal. These features are discussed in terms of the divalent character of the chemical bonding in the neutral species.
toXiv_bot_toot
Balancing training load, rest and musculoskeletal injury risk: a mathematical modelling study in Thoroughbred racehorses
Md Nurul Anwar, Michael Pan, Ashleigh V. Morrice-West, Fatemeh Malekipour, Peter Pivonka, Jennifer A. Flegg, R Chris Whitton, Peta L. Hitchens
https://arxiv.org/abs/2603.22680 https://arxiv.org/pdf/2603.22680 https://arxiv.org/html/2603.22680
arXiv:2603.22680v1 Announce Type: new
Abstract: Musculoskeletal injuries (MSI) in Thoroughbred racehorses are a leading cause of death and premature retirement in racehorses and are heavily influenced by training practices. Greater distances of high-speed galloping accumulated during racing campaigns are associated with MSI. Bone injury is the most common MSI, and understanding how training practices influence bone damage accumulation is critical for improving both horse welfare and racing outcomes. This study builds on an existing mathematical model of bone adaptation and damage to investigate the impact of different training programs on bone injury risk. Several training programs (three progressive, four race-fit, six rest programs and two with rest replaced by low-intensity training) were constructed to reflect representative practices undertaken by professional trainers in Victoria, Australia. Training programs varied in training volume, rest frequency and program duration. Lower volume training programs that included high-speed training, achieved sufficient bone adaptation with less accumulation of bone damage, and subsequently lower risk of bone failure. In addition, incorporating more frequent rests (at least 2 per year) and/or longer rest periods (at least 6 weeks) reduced bone damage due to the extended opportunity to remove and repair bone damage. These results provide an in-silico mathematical model of the bone response to training, demonstrating the effects of training programs on bone adaptation, damage formation and repair. The findings can guide the design of training programs that balance both bone adaptation and bone health throughout horses racing career.
toXiv_bot_toot
The physics of AI weather models
George Craig, Tobias Selz, Matthias Beylich, Kirsten I. Tempest
https://arxiv.org/abs/2605.23778 https://arxiv.org/pdf/2605.23778 https://arxiv.org/html/2605.23778
arXiv:2605.23778v1 Announce Type: new
Abstract: Could it be that AI weather models are solving physical equations, although they may not be the equations used by conventional NWP models? We compute correlations of forecast skill and Centered Kernel Alignment, providing evidence that different AI weather models represent the atmosphere in similar ways, despite differences in architecture and capacity. We argue that the architecture and training of the AI models constrains the form of the physical laws that they might simulate. In particular, we propose that the models implement a particle description of the atmosphere, where the latent variables at each mesh point correspond to the position of a particle in the high dimensional latent space. We hypothesize that the movement of the particles follows a gradient flow in the latent space towards a minimum of a learned free energy functional. Analysis of the GraphCast and Aurora models show that they make changes on large spatial scales in the early processor layers and move to smaller scale with increasing layer depth, consistent with the gradient flow hypothesis.
toXiv_bot_toot
🥳 New Kitten Release
• Fix: Events on `KittenComponent` hierarchies are now bubbled in reverse (from children down to parents). This provides for predictable event firing in cases where parents might emit events (e.g., a page emitting an event from its `onConnect()` handler). Your existing code should work as before with certain edge cases that might have broken before no longer breaking.
Enjoy!
:kitten:💕
Replaced article(s) found for physics.pop-ph. https://arxiv.org/list/physics.pop-ph/new
[1/1]:
- Long-term outburst activity of comet 17P/Holmes and constraints on ejecta size distributions
Gritsevich, Weso{\l}owski, Trigo-Rodr\'iguez, Castro-Tirado, Ryske, Nissinen, Ca…
Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
Cameron Dong, James W. Hurrell, Elizabeth A. Barnes
https://arxiv.org/abs/2605.23776 https://arxiv.org/pdf/2605.23776 https://arxiv.org/html/2605.23776
arXiv:2605.23776v1 Announce Type: new
Abstract: Stratospheric aerosol injection (SAI), a possible climate engineering strategy where reflective particles are injected into the stratosphere, has been explored to mitigate global warming and its associated risks, such as the intensification of extreme precipitation events. However, current Earth system models (ESMs) often used to simulate SAI and other climate change scenarios are too coarse to properly assess such risks. Traditional statistical downscaling methods, used to project higher resolution impacts, may be biased and unrealistic. To address this, we train a deep learning diffusion downscaler to generate 0.25{\deg} contiguous United States (CONUS) daily precipitation using historical and future climate simulations from the Mesoscale Atmosphere-Ocean Interaction in Seasonal-to-Decadal Climate Prediction (MESACLIP) project, then apply the diffusion downscaler to out-of-distribution CESM2 simulations with and without SAI. The diffusion model generates realistic downscaled precipitation using either MESACLIP or CESM2 inputs. It also faithfully recreates the climate change projections of extreme precipitation in MESACLIP. Diffusion-downscaled projections of the future CESM2 SAI scenarios suggest that SAI could nearly cut in half the CONUS-average increase in yearly max precipitation, compared to the non-SAI scenario. However, there is considerable regional variation and internal variability, with SAI modeled to only slightly reduce increases in extreme precipitation frequency in the Mid Atlantic and the Pacific Northwest, but mitigating most intensification in other regions. Future application of diffusion downscaling to a wider variety of SAI scenarios would provide valuable insight into how proposed SAI strategies may affect precipitation variability on fine spatial scales for regional impact assessments.
toXiv_bot_toot
Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Regime-Calibrated Demand Priors for Ride-Hailing Fleet Dispatch and Repositioning
Indar Kumar, Akanksha Tiwari
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Continuous operation of a coherent 3,000-qubit system
Neng-Chun Chiu, et al.
Frequency-Dependent Magnetic modulation of deposition morphology
S. K. Saroj, P. K. Panigrahi
https://arxiv.org/abs/2602.21789 https://arxiv.org/pdf/2602.21789 https://arxiv.org/html/2602.21789
arXiv:2602.21789v1 Announce Type: new
Abstract: This paper presents a novel approach for magnetic modulation of deposition morphology in an evaporating ferrofluid droplet. The magnetic field strength and ferrofluid concentration are kept unchanged, while the actuation frequencies are varied from 0.016 Hz to 5 Hz. In the absence of a magnetic field, a coffee-ring formation is observed and consistent with previous studies\cite{deegan1997capillary,deegan2000contact,saroj2019drying}. The application of a time-dependent magnetic field significantly modifies the deposition morphology. The periodic magnetic field induces the formation of multiple concentric rings during evaporation. The number of rings initially increases with increasing actuation frequency of the electromagnet. However, beyond a critical actuation frequency ($f_c = 0.2\,\text{Hz}$), the number of rings decreases. At higher actuation frequencies, magnetic particles preferentially deposit in the central region of the droplet, resulting in suppression of the coffee-ring effect. Additionally, the thickness of the inner rings and the ring spacing decrease with increasing actuation frequency up to critical actuation frequency. The transition from multi-ring formation to coffee-ring suppression is governed by the competition among magnetic forcing, capillary flow, and particle diffusion. The underlying physical mechanisms responsible for droplet dynamics and deposition morphology under periodic magnetic fields are evaluated using scaling arguments. The results demonstrate that diffusive particle transport plays a dominant role in determining the deposition pattern. A non-dimensional magnetic switching number, based on the magnetic perturbation timescale, is introduced as a control parameter to characterize the frequency-dependent deposition behavior.
toXiv_bot_toot
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas Andr\'e, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
https://arxiv.org/abs/2603.24553 https://arxiv.org/pdf/2603.24553 https://arxiv.org/html/2603.24553
arXiv:2603.24553v1 Announce Type: new
Abstract: We solve the orientation recovery of a tumbling protein in the gas phase from single-event measurements of the spatial positions of its ions after an X-ray laser induced explosion. We simulate diffracted X-ray signal and ion dynamics under experimental conditions and compare our method to conventional orientation recovery in single-particle imaging with X-ray free-electron lasers using only diffraction data. We reconstruct 3D diffraction intensities using orientations recovered from the ion signatures and retrieve the electron density with established phase-retrieval algorithms. We test our orientation recovery procedure on 56 proteins ranging from 14 to 52 kDa (1800 to 6500 atoms), achieving roughly an angular error of around 5{\deg}. The resulting 3D electron-density reconstructions are compared to ground-truth volumes simulated at the same nominal resolution, and achieve the resolution at the edge of the detector in conditions similar to current single-particle imaging setups. We investigate the reconstruction quality and demonstrate that ion data can be used for reliable orientation recovery of particles in single-particle imaging, achieving orientation on par or better than currently used recovery techniques. This work shows the potential of ion detection for retrieving additional information from the sample fragmentation, and boost single particle imaging with X-ray lasers in the cases where the diffraction signal is a limiting factor.
toXiv_bot_toot
Modelling SARS-CoV-2 epidemics via compartmental and cellular automaton SEIRS model with temporal immunity and vaccination
J. Ilnytskyi, T. Patsahan
https://arxiv.org/abs/2603.22498 https://arxiv.org/pdf/2603.22498 https://arxiv.org/html/2603.22498
arXiv:2603.22498v1 Announce Type: new
Abstract: We consider the SEIRS epidemiology model with such features of the COVID-19 outbreak as: abundance of unidentified infected individuals, limited time of immunity and a possibility of vaccination. The control of the pandemic dynamics is possible by restricting the transmission rate, increasing identification and isolation rate of infected individuals, and via vaccination. For the compartmental version of this model, we found stable disease-free and endemic stationary states. The basic reproductive number is analysed with respect to balancing quarantine and vaccination measures. The positions and heights of the first peak of outbreak are obtained numerically and fitted to simple in usage algebraic forms. Lattice-based realization of this model is studied by means of the asynchronous cellular automaton algorithm. This permitted to study the effect of social distancing by varying the neighbourhood size of the model. The attempt is made to match the quarantine and vaccination effects.
toXiv_bot_toot
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Weak wave turbulence as a precursor to universal coarsening in a homogeneous Bose gas
Fischer, Gazo, Morris, Maslov, Zhang, Etrych, Martirosyan, Eigen, Hadzibabic
Sorting prolate and oblate spheroids with a diatomic gas in a magnetic field
Ruben Lier
https://arxiv.org/abs/2602.21475 https://arxiv.org/pdf/2602.21475 https://arxiv.org/html/2602.21475
arXiv:2602.21475v1 Announce Type: new
Abstract: For a gas of diatomic particles with a nonzero magnetic moment, the Senftleben-Beenakker effect says that transport can be affected by a magnetic field even when the particles are neutral. As a consequence of the Senftleben-Beenakker effect, two anisotropic odd viscosities become nonvanishing which for large magnetic field are of opposite sign. We solve for the anisotropic odd viscous Stokes flow around the spheroid using the Lorentz reciprocal theorem and show that the forces on oblate and prolate spheroids are such that they can be separated upon undergoing sedimentation in a diatomic gas with a background magnetic field.
toXiv_bot_toot
Two-dimensional IR-Raman spectroscopy of vibrational polaritons: Role of dipole surfaces
Xinwei Ji, Tomislav Begusic, Tao E. Li
https://arxiv.org/abs/2603.24521 https://arxiv.org/pdf/2603.24521 https://arxiv.org/html/2603.24521
arXiv:2603.24521v1 Announce Type: new
Abstract: Nonlinear spectroscopy provides a unique perspective to understand time-resolved molecular dynamics under vibrational strong coupling (VSC). Herein, equilibrium-nonequilibrium cavity molecular dynamics simulations are performed to compute the two-dimensional (2D) infrared-infrared-Raman (IIR) spectroscopy of liquid water under VSC. In conventional computational chemistry practices, accurate molecular spectra are often constructed by using an advanced molecular dipole or polarizability model to post-process molecular dynamics trajectories evolved under a computationally efficient potential. By contrast, this work highlights the necessity of employing a consistent dipole surface model in both CavMD simulations and spectroscopic post-processing. While utilizing inconsistent dipole models only mildly influences the linear polariton spectrum, it severely distorts 2D spectra in wide frequency regions. With a consistent dipole-induced-dipole model, compared to the outside-cavity molecular 2D-IIR spectrum, the cavity 2D-IIR spectrum splits the OH stretch band to a pair of polariton branches along only the IR (not Raman) axis, while fading molecular signals at other frequency regions. This work provides the foundation for employing direct CavMD simulations to construct 2D spectra of realistic molecules under VSC.
toXiv_bot_toot
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
Sherly Alfonso-S\'anchez, Cristi\'an Bravo, Kristina G. Stankova
https://arxiv.org/abs/2604.21893
Prandtl number dependence of rotating internally heated convection
Rodolfo Ostilla-M\'onico, Ali Arslan
https://arxiv.org/abs/2602.21860 https://arxiv.…
Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https://arxiv.org/pdf/2603.24334 https://arxiv.org/html/2603.24334
arXiv:2603.24334v1 Announce Type: new
Abstract: Anisotropic two-dimensional diffraction signals contain more information than the conventional isotropic signals for both gas phase ultrafast electron and X-ray diffraction experiments and are common in typical time-resolved diffraction experiments due to the use of linearly polarized lasers to excite the sample that imprints spatial anisotropy on the molecules. We report an iterative algorithm to restore the missing data at low scattering angles in a two-dimensional diffraction signal, which is essential to obtain real-space representation. The iterative algorithm transforms two-dimensional signals back and forth between the momentum transfer domain and the real space domain through Fourier and Abel transforms and apply real space constraints to retrieve missing signal at low scattering angles. The algorithm only requires an approximate a-priori knowledge of the shortest and longest internuclear distances in the molecule. We demonstrated successful retrieval of the missing signal in simulated patterns and in experimentally measured diffraction patterns from laser-induced alignment of trifluoroiodomethane molecules.
toXiv_bot_toot
[2026-02-26 Thu (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Lagged sea-surface-temperature precursors of the leading PM2.5 mode in China
Yuan Chen, Dan Zhao, Xu Li
https://arxiv.org/abs/2605.25436 https://arxiv.org/pdf/2605.25436 https://arxiv.org/html/2605.25436
arXiv:2605.25436v1 Announce Type: new
Abstract: Fine particulate matter(PM2.5) pollution in China is strongly modulated bymeteorological variability, yet its seasonal predictability from oceanic signals remains unclear. Here we identify the leading PM2.5 variability mode over China and show that it is preceded by coherent sea-surface-temperature anomaly clusters by more than one season. These oceanic precursors influence summer PM2.5 mainly by altering precipitation and lowlevel ventilation, and winter PM2.5 by modulating boundary-layer height and near-surface stagnation. Using the four largest precursor regions, a simple regression model achieves significant independent prediction skill for both summer and winter PM2.5 variability. Our results reveal a physical pathway linking sea-surface-temperature memory to regional aerosol pollution and provide a basis for seasonal air-quality risk assessment.
toXiv_bot_toot
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions
Di Wu, Ling Liang, Haizhao Yang
https://arxiv.org/abs/2604.21849
Frequency-Dependent Magnetic modulation of deposition morphology
S. K. Saroj, P. K. Panigrahi
https://arxiv.org/abs/2602.21789 https://arxiv.org/pdf/2602.2…
Collective Electronic Polarization Drives Charge Asymmetry at Oil-Water Interfaces
Gabriele Amante, Klaudia Mrazikova, Gabriele Centi, Sylvie Roke, Ali Hassanali, Giuseppe Cassone
https://arxiv.org/abs/2603.24142 https://arxiv.org/pdf/2603.24142 https://arxiv.org/html/2603.24142
arXiv:2603.24142v1 Announce Type: new
Abstract: Why kinetically stable oil droplets in water spontaneously acquire a negative charge remains one of the most vigorously debated questions in interfacial science. Here, we combine neural-network based deep potential molecular dynamics with a data-driven and information theory approach to probe the real-space electron density at an extended decane-water interface. While decane-water clusters show nearly symmetric forward and backward charge transfer (CT) and thus negligible net CT, the extended interface displays a systematic electronic asymmetry, yielding a net CT from water to the hydrocarbon phase producing an average surface charge density of $\sim0.006~e^{-}\,\mathrm{nm}^{-2}$ on the oil phase. This imbalance is accompanied by much larger intra-phase self-polarization, particularly within the hydrocarbon phase, demonstrating that collective many-body polarization dominates the interfacial electronic response. Structural analysis reveals an asymmetry between forward C--H$\cdots$O and backward O--H$\cdots$C motifs, providing a microscopic origin for a net CT from one phase to the other. Curiously, both the water O--H and decane C--H covalent bonds incur subtle contractions which originate from a response to the charge-separation layers at the interface. These features are fully consistent with the weak improper hydrogen-bonds forming at the oil-water interface that results in blue-shifts of the C-H modes.
toXiv_bot_toot
Molecular effects in low-energy muon transfer from muonic hydrogen to oxygen
I. Boradjiev, A. Adamczak, D. Bakalov, M. Baruzzo, R. Benocci, M. Bonesini, S. Capra, E. Christova, M. Clemenza, M. Danailov, P. Danev, E. Fasci, L. Gianfrani, A. D. Hillier, K. Ishida, A. Menegolli, E. Mocchiutti, S. Monzani, L. Moretti, C. Pizzolotto, R. Rossini, A. Sbrizzi, M. Stoilov, H. S. Tonchev, A. Vacchi, E. Vallazza, K. Yokoyama
JAX-SCM v1.0: a modern atmospheric single-column model for boundary layer research
Maximilian Pierzyna
https://arxiv.org/abs/2605.24544 https://arxiv.org/pdf/2605.24544 https://arxiv.org/html/2605.24544
arXiv:2605.24544v1 Announce Type: new
Abstract: We present JAX-SCM v1.0, an open-source atmospheric single-column model for boundary layer research, implemented in Python using the JAX computing library. The model solves for horizontal wind, potential temperature, and specific humidity, combined with prognostic turbulent kinetic energy and turbulent statistics parameterized by the Mellor-Yamada-Nakanishi-Niino level-2.5 (MYNN-2.5) turbulence closure. We verify the implementation against three well-established benchmark cases covering neutral (turbulent Ekman layer), stable (GABLS1), and convective (Wangara Day 33) conditions. Close agreement with reference solutions is demonstrated across all regimes. By building on JAX, the model benefits from just-in-time compilation and native GPU support. While JAX-SCM is not yet fully differentiable, basing it on JAX also lays the foundation for future integration with machine learning components. The model is designed for simplicity and modularity, lowering the barrier to entry for users and developers alike.
toXiv_bot_toot
There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adser\`a, Blake Bordelon, Jeremy Cohen, Nikhil Ghosh, Florentin Guth, Arthur Jacot, Mason Kamb, Dhruva Karkada, Eric J. Michaud, Berkan Ottlik, Joseph Turnbull
https://arxiv.org/abs/2604.21691…
Sorting prolate and oblate spheroids with a diatomic gas in a magnetic field
Ruben Lier
https://arxiv.org/abs/2602.21475 https://arxiv.org/pdf/2602.21475…
Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schr\"odinger equation
Teng Wu, Qi Zhou, Huangjie Zheng, Hehu Xie, Zhenli Xu
https://arxiv.org/abs/2603.23897 https://arxiv.org/pdf/2603.23897 https://arxiv.org/html/2603.23897
arXiv:2603.23897v1 Announce Type: new
Abstract: We present an improved version of the sum-of-Gaussians tensor neural network (SOG-TNN) architecture for solving many-electron Schr\"{o}dinger equation for one-dimensional soft-Coulomb systems. Model reduction techniques are introduced to reduce the number of tensor-factorized bases under the SOG approximation of the kernel. The Slater determinant ansatz is employed so that the anti-symmetric property of the wave function can be strictly preserved. Numerical results show that the SOG-TNN achieves high accuracy with remarkably small basis sizes. Robust spectral convergence with respect to the basis size is also observed, consistently characterized by a mixed algebraic-exponential model for the error decay. These findings validate that the SOG-TNN architecture provides an ultra-efficient and low-rank representation of complex multi-electron wave functions, shedding light on high-fidelity quantum calculations in larger-scale many-electron systems.
toXiv_bot_toot
Very sensitive vapor-cell quasi-DC atomic E-field sensor
Amy Damitz, George Burns, Yuan-Yu Jau
https://arxiv.org/abs/2603.23751 https://arxiv.org/pdf/2603.…
Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
Minghui Qiu, Jun Chen, Lin Chen, Weifeng Chen, Shuxin Zhong, Zhidan Liu, Yu Zhang, Kaishun Wu
https://arxiv.org/abs/2605.24067 https://arxiv.org/pdf/2605.24067 https://arxiv.org/html/2605.24067
arXiv:2605.24067v1 Announce Type: new
Abstract: Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronously (C1) and remain spatially fragmented (C2). To this end, MeteoLogist designs three tightly integrated components. The Physics-Tailored Encoders process radar echoes according to their intrinsic physical scales and semantics, forming thermodynamic, kinematic, and microphysical streams that capture distinct dynamical regimes. The Temporal-Phase Aligner addresses C1 by leveraging causal temporal attention to capture when and how different drivers interact and activate. The Cross-Field Spatial Aggregator addresses C2 through cross-regional fusion, aligning weak and scattered precursors across neighboring cells to expose upstream triggers and enforce spatial coherence. Evaluated on 3D-NEXRAD (2020--2022, US-wide), MeteoLogist boosts high-impact detection (CSI40) by 9.7% over strong baselines, and achieves a remarkable 37.67% gain during the storm-developing stage -- demonstrating true foresight in sensing storms before they appear. The code can be found in the supplementary material.
toXiv_bot_toot
Electronic properties of the Radium-monochalcogenides RaX (X = O,S,Se) and RaO /- ions
Mateo Londo\~no, Jes\'us P\'erez-R\'ios
https://arxiv.org/abs/2603.24590 https…
A Kernel Nonconformity Score for Multivariate Conformal Prediction
Louis Meyer, Wenkai Xu
https://arxiv.org/abs/2604.21595 https://arxiv.org/pdf/2604.21595…
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Orders-of-magnitude improvement in precision spectroscopy of an inner-shell orbital clock transit...
Ishiyama, Ono, Kawase, Takano, Asano, Sunaga, Yamamoto, Tanaka, Takahashi…
Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
Yuhang Zhu, Jianxin Wang, Yu-kun Qian, Yineng Li, Yahui Liu, Yankun Gong, Shilin Tang, Shiqiu Peng, Tao Song
https://arxiv.org/abs/2605.24032 https://arxiv.org/pdf/2605.24032 https://arxiv.org/html/2605.24032
arXiv:2605.24032v1 Announce Type: new
Abstract: A data-driven air-sea full-coupling regional forecast model with submesoscale-permitting, named "Volador 1.0", is developed for the South China Sea (SCS). The model features a Swin-Transformer framework integrated with a Mixture-of-Experts (MoE) system, a latent space interaction architecture based on Cross-Grid Bidirectional Cross-Attention, and a fast-slow dual-branch architecture. Both the three-month hindcast test and the 15-day operational real-time forecasting demonstrate that Volador 1.0 has a very encouraging and promising performance in 0-72h forecasting of temperature and salinity in the 0-500m upper ocean as well as the sea surface height with root-mean-square-error (RMSE) or mean absolute error (MAE) smaller than or at least comparable to those from the reanalysis datasets REDOS V2.0 and GLORYS12 and the state-of-the-art regional numerical model Regional Ocean Modeling System (ROMS). In particular, Volador 1.0 demonstrates its capability of capturing/forecasting submesoscale processes including internal waves, with an energy spectrum well representing sub- to mesoscale energy cascade as expected by the classical turbulence theory. Further analysis based on ablation experiments shows that the air-sea full-coupling framework, which takes into account the dynamic exchanges of momentum and heat fluxes between the atmosphere and the ocean, indeed helps improve the model's performance compared to the non-full-coupling one. Volador 1.0, though still subject to refinement in the coming future with a large space for improvement, blazes a path for an accurate, fine and fast marine environment forecasting, and thus could help promote our capability of disaster prevention and mitigation in the SCS as well as in other coastal regions where these innovative techniques can be applied.
toXiv_bot_toot
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas Andr\'e, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
https://arxiv.org/abs/2603.24553 https://…
A single algorithm for both restless and rested rotting bandits
Julien Seznec, Pierre M\'enard, Alessandro Lazaric, Michal Valko
https://arxiv.org/abs/2604.21432 https://
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Order in the interference of a long chain of Bose condensates with unrestricted phases
Vasiliy Makhalov, Andrey Turlapov
Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information
Zachary James, Joseph Guinness, Arthur DeGaetano
https://arxiv.org/abs/2605.24009 https://arxiv.org/pdf/2605.24009 https://arxiv.org/html/2605.24009
arXiv:2605.24009v1 Announce Type: new
Abstract: Convective available potential energy (CAPE) is an important variable for forecasting severe weather and understanding deep convection and precipitation. The latest versions of the Global Forecast System (GFS) and related Global Ensemble Forecast System (GEFS) have exhibited a bias towards underestimating CAPE values during the summertime. We train an artificial intelligence (AI) diffusion model to improve the skill and uncertainty quantification of afternoon 6-hour lead time ensemble forecasts over the United States. Our model takes a GFS CAPE forecast as input and outputs an ensemble that significantly outperforms both GFS and GEFS 6-hour forecasts on root mean square error, continuous ranked probability score, and Brier score. We propose a two-stage training pipeline to leverage both a larger historical GFS forecast dataset and a smaller historical GEFS dataset, despite the two using initialization and parameterization schemes that vary over time. We also show that classifier-free guidance can be used to control the skill and spread of the forecasts. We then demonstrate the versatility of our framework by adding aerosol optical depths (AODs) of black carbon, organic carbon, dust, sea salt, and sulfates as additional input features. Aerosols can invigorate or suppress convection depending on atmospheric conditions. Our AI models effectively incorporate aerosols to produce improved CAPE forecasts. We interpret the model components by using permutation feature importance to rank the influence of the different AODs and find that black carbon, organic carbon, and sulfate aerosols have a greater impact on the model's CAPE predictions than sea salt and dust aerosols.
toXiv_bot_toot
Two-dimensional IR-Raman spectroscopy of vibrational polaritons: Role of dipole surfaces
Xinwei Ji, Tomislav Begusic, Tao E. Li
https://arxiv.org/abs/2603.24521 https://
[2026-03-26 Thu (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
CLT-Optimal Parameter Error Bounds for Linear System Identification
Yichen Zhou, Stephen Tu
https://arxiv.org/abs/2604.21270 https://arxiv.org/pdf/2604.212…
Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East)
Aaron Sonabend-W, Sean Campbell, John Platt, Christopher Van Arsdale, Anna M. Michalak
https://arxiv.org/abs/2605.23991 https://arxiv.org/pdf/2605.23991 https://arxiv.org/html/2605.23991
arXiv:2605.23991v1 Announce Type: new
Abstract: There is a growing urgency to track greenhouse gasses with the resolution, precision and accuracy needed to support independent verification of $CO_2$ fluxes at local to global scales. The current generation of space-based sensors, however, only provides sparse observations in space and time. This challenge has fueled interest in the potential use of data from existing missions originally developed for other applications for inferring global greenhouse gas variability. The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite (GOES-East), operational since 2017, provides full coverage of much of the western hemisphere at 10-minute intervals from geostationary orbit at 16 wavelengths at an approximately 2$km^2$ spatial resolution. Here, we leverage this high spatial coverage and temporal revisit to develop a single-pixel, physics-guided neural network to estimate dry-air column $CO_2$ mole fraction ($XCO_2$). The model employs a time series of GOES-East's 16 spectral bands, ECMWF ERA5 lower tropospheric meteorology, MODIS surface reflectance, solar and satellite viewing geometry, and day of year. Training used collocated GOES-East and OCO-2/OCO-3 observations. We also present case studies illustrating the use of the model to observe $XCO_2$ enhancements over urban areas and drawdown over agricultural regions. Overall, while the precision of GOES-East derived $XCO_2$ can never rival that of dedicated instruments, the unprecedented combination of contiguous geographic coverage, 10-minute temporal frequency, and multi-year record offers the potential to observe aspects of atmospheric $CO_2$ variability currently unseen from space.
toXiv_bot_toot
Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https:/…
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Design and implementation of a modular laser system for AMO experiments
Theophilo, Thomas, Croft, Lekhai, Owens, Smith, Muralidharan, Deans
[2026-05-26 Tue (UTC), 6 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot
Collective Electronic Polarization Drives Charge Asymmetry at Oil-Water Interfaces
Gabriele Amante, Klaudia Mrazikova, Gabriele Centi, Sylvie Roke, Ali Hassanali, Giuseppe Cassone
https://arxiv.org/abs/2603.24142
Calibeating Prediction-Powered Inference
Lars van der Laan, Mark Van Der Laan
https://arxiv.org/abs/2604.21260 https://arxiv.org/pdf/2604.21260
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Radial Gausslets
Steven R. White
https://
[2026-05-25 Mon (UTC), 3 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot
Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schr\"odinger equation
Teng Wu, Qi Zhou, Huangjie Zheng, Hehu Xie, Zhenli Xu
https://arxiv.org/abs/2603.23897
Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction
Ziyang Wei, Wanrong Zhu, Jingyang Lyu, Wei Biao Wu
https://arxiv.org/abs/2604.21203 h…
[2026-03-25 Wed (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
Manuel Fernandez V, Ludovic Stephan, Yizhe Zhu
https://arxiv.org/abs/2604.20907 https://…
An alternative representation of multichannel Rydberg spectra: a modified Lu-Fano plot, applied to manganese spectroscopy
Justin D. Piel, Chris H. Greene
https://arxiv.org/abs/2603.22119
Standalone optical frequency-offset locking electronics for atomic physics
K. Shalaby, T. Hunt, S. Moir, P. Trottier, T. Reuschel, B. Barrett
https://arxiv.org/abs/2603.22080 ht…
Theory Framework for Medium-Mass Muonic Atoms
S. Rathi, I. A. Valuev, Z. Sun, M. Heines, P. Indelicato, B. Ohayon, N. S. Oreshkina
https://arxiv.org/abs/2603.22021 https://
Precision spectroscopy of a trapped $^{173}$Yb$^ $ ion using a bath of ultracold atoms
Egor Kovlakov, Rene Gerritsma
https://arxiv.org/abs/2603.21297 https://
$T^{-3}$-shift in a short-baseline atomic interferometer-gravimeter
D. N. Kapusta, A. E. Bonert, A. N. Goncharov, V. I. Yudin, K. N. Adamov, A. V. Taichenachev, M. Yu. Basalaev, M. D. Radchenko, O. N. Prudnikov
https://arxiv.org/abs/2603.21202
Barium Magnesium Alloy as Source of Atomic Ba for Ion Trapping
Jane Gunnell, Thomas Griffiths, Boris B. Blinov
https://arxiv.org/abs/2603.20956 https://arx…
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