Tootfinder

Another research paper "Understanding Decentralized Social Feed Curation on Mastodon" https://arxiv.org/abs/2504.18817 mentioning @… @…

This from Stockhausen is remarkable in a couple of ways.. First it closes his book and clearly he felt it was important, but as far as I know 'social dancing' is completely absent from computer music/electroacoustic education institutions that otherwise laud Stockhausen. Secondly for the subtle dogwhistling - e.g. dance music from African continent and diaspora is first slated and then ignored.

📰 Informiert zu sein, schützt uns vor Gefahren und finanziellen Risiken. Ich suche täglich nach wissenswerten #Nachrichten aus #Forschung, #Medizin,

KlimaCrew
Ich informiere über Zukunftsthemen, um Menschen vor Risiken zu warnen und Fortschritte sichtbar zu machen.

Apparently Google’s Modern Web Guidance accessibility megaskill believes it should only be called when a dev explicitly asks for accessibility in the output?
Which doesn’t quite track with the promise on the MWG home page.

I know that CQ WPX CW really starts at midnight Saturday UTC, but it's easier for me to think of it as starting at 8PM US/Eastern this coming Friday.
I definitely need to make sure I have not1mm ready to go for the contest.
Also, I have to stabilize my key. My key has been sliding on the desk a bit. I switched out the feet that Kent sent because they were too slippery, and it still wasn't right, and today I …

Coupling of negative-positive trapped-ion pairs
Daniel Kienzler
https://arxiv.org/abs/2606.25828 https://arxiv.org/pdf/2606.25828

Looking at the glasglow.social trending page and there are FOUR different catsalad posts 😹
I need to go to bed...

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

webkb: WebKB graphs (1998)
Web graphs crawled from four Computer Science departments in 1998, with each page manually classified into one of 7 categories: course, department, faculty, project, staff, student, or other. All graphs included in a single .zip; also included are 'co-citation' graphs, which links i and j if they both point to some k. Edge weights count the number of links from i to j.
This network has 349 nodes and 1393 edges.
Tags: Informational, Web gra…

Cool, #PhanpySocial mentioned here: "Decentralized Social Media Platforms as a Path to a More Resilient Information Ecosystem" https://www.bertelsmann-stiftung.de/doi/10.11586/…

[2026-04-24 Fri (UTC), 10 new articles found for stat.ML Machine Learning]
toXiv_bot_toot

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…

OK, what the actual fuck?
I’m not signed in and, to the best of my knowledge, I don’t even have a Guardian account. And this is within the web view in Mona.
CC @…
#theGuardian

moved a project to https://MegalithicIrelandMap.CodeBerg.page from the formerly cool forge. Feels so good. Thanks @…

Enhancing the Instantaneous Bandwidth of Rydberg Microwave Sensors: A Proposed Scheme
Yuhan Yan, Xuejie Li, Jinyin Wan, Xing Xia, Haojie Zhao, Binghong Yu, Jianliao Deng, L. Q. Chen, Huadong Cheng
https://arxiv.org/abs/2606.25555

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

[2026-06-22 Mon (UTC), no new articles found for cs.LG Machine Learning]
toXiv_bot_toot

Just encountered on mobile Firefox (both Apple and Android). New in version 151.
Seems Firefox has added a new AI kack option, turned on by default, of course:
AI summaries of web pages.
Go to your Settings>Page summaries and turn it off.
There's now also an AI controls submenu where you can limit other AI features.

Has anyone else experienced that with the latest firefox (152, on Linux/Gtk ) saving files with the keyboard only no longer works? (I.e. I do "Save Page as" -> press enter and it ignores the enter key and I can only save by clicking on the "Save" button)

So, if I understand this correctly, this approach sells your search to the highest bidders (plural)
https://typo.social/@colinmford/116613158941426952

@… the short URL using the word "slop" implies prejudice, I'll not boost. Can you change your post to use a less biased URL?
The page to which it redirects does not use the word slop. It begins:
"This survey is part of a research study conducted by Prof. Anita Sarma at the School of Electrical Engineering and Compute…

Het algoritmeregister van de nederlandse overheid bevat inmiddels meer dan 1400 algoritmes. Het is natuurlijk verre van compleet maar interessant om door heen te bladeren en te zien wat her en der wordt gebruikt. Ik zocht bijvoorbeeld op CoPilot, https://algoritmes.overheid.n…

Statistical Characteristics of Tunneling States in Strong-Field Atomic Ionization
M. W. Cao, Z. Y. Chen, J. N. Wu, S. Q. Shen, S. Wang, W. Y. Li, J. Y. Che, Y. J. Chen
https://arxiv.org/abs/2606.25481 …

[2026-06-22 Mon (UTC), no new articles found for eess.IV Image and Video Processing]
toXiv_bot_toot

Probabilistic Model Checking via Families of Deterministic and Unambiguous Finite Automata
Christel Baier, Sascha Kl\"uppelholz, Timm Spork
https://arxiv.org/abs/2606.21976

The algebraic K-theory of $k[\operatorname{SL}_2(\mathbb{F}_q)]$
Isaac Moselle
https://arxiv.org/abs/2606.21421 https://arxiv.org/pdf/2606.21421 https://arxiv.org/html/2606.21421
arXiv:2606.21421v1 Announce Type: new
Abstract: We compute via trace methods the higher algebraic $K$-theory of the group ring $k[\operatorname{SL}_2(\mathbb{F}_q)]$, as well as the related groups $\operatorname{PSL}_2(\mathbb{F}_q)$, $\operatorname{PGL}_2(\mathbb{F}_q)$, and $\operatorname{GL}_2(\mathbb{F}_q)$, where $k$ is a perfect field of characteristic $p$ and $q=p^r$. At the core of the computation is the algebraic $K$-theory of the group ring of the Sylow $p$-subgroup, $k[C_p^r]$, which we determine via a theorem of L\"uck--Reich--Rognes--Varisco on cyclic assembly for topological cyclic homology. In the process, we reprove the cyclic assembly result in the language of Nikolaus--Scholze, analyse assembly for smaller families of subgroups, and develop further tools for computing topological cyclic homology of group rings.
toXiv_bot_toot

Das verdeckte #Lobby-Netzwerk hinter dem Widerstand gegen #Windkraft
h…

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

Axios' total Q1 content output was down 22% YoY, but page views rose 30% and page views per visitor rose 22%, as the outlet shifts away from chasing traffic (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/north-america/axios-page-views-…

Output down, page views up: Axios shifts from volume to value
Axios cut its output by almost a quarter to concentrate on adding "real value" and stop chasing traffic - but page views grew anyway.

Finally finished by issue triage marathon for #QEMU and we now have zero untagged issues. Of course that doesn't mean they are fixed (as of today we have 1271 open issues) but now hopefully it is easier to ensure bugs get routed to the right people.
I've been using an #AI

The Magnificent Loser: The Book I Wrote to Answer Two Words in Red Ink
Every writer carries a verdict he never agreed to. Mine was two words long, written in red marker across the title page of a play I cared about, by a historian whose judgment I had asked for and could not afford to ignore....

[2026-06-25 Thu (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

On Bayesian Softmax-Gated Mixture-of-Experts Models
Nicola Bariletto, Huy Nguyen, Nhat Ho, Alessandro Rinaldo
https://arxiv.org/abs/2604.20551 https://arxi…

Just made a mistake on page 40 of a #LEGO build that turned out to be wrong, but it didn't interfere with anything until page 242. It was a but janky, but thankfully I didn't need to unbuild everything in between to fix it. Lego puts a huge amount of attention into the design of their instructions, but things like this are pretty hard to catch. I was building quickly and assumed a beam should go on symmetrically when actually it needed to be off-center.

In just 7 months, Katalyst built the
400 kg LINK servicing spacecraft under a $30M NASA contract.
Its job: rendezvous with Swift, capture it with three robotic arms, and boost it to a higher, stable orbit.
https://skywriter.blue/@drnereide.bsky.social/3montkodbsc2r…

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

Quantum statistics on atom-ion Feshbach resonances
Joachim Siemund, Fabian Thielemann, Jonathan Grieshaber, Wei Wu, Patrick Mullan, Panagiotis Giannakeas, Krzysztof Jachymski, Tobias Schaetz
https://arxiv.org/abs/2606.26995

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 3144 nodes and 11059 edges.
Tags: Social, Communication, Unweighted, Multigraph, …

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

Infinite-time surface flux for full-dimensional three-body breakup dynamics
Jinzhen Zhu
https://arxiv.org/abs/2606.26178 https://arxiv.org/pdf/2606.26178…

State-Space Abstractions for Parametric Timed Games
Mikael Bisgaard Dahlsen-Jensen (Aarhus University, Aarhus, Denmark), Laure Petrucci (Universit\'e Sorbonne Paris Nord CNRS, Villetaneuse, France), Jaco van de Pol (Aarhus University, Aarhus, Denmark)
https://arxiv.org/abs/2606.21516

Efficient Symbolic Computations for Identifying Causal Effects
Benjamin Hollering, Pratik Misra, Nils Sturma
https://arxiv.org/abs/2604.20516 https://arxiv…

[2026-06-23 Tue (UTC), 2 new articles found for math.KT K-Theory and Homology]
toXiv_bot_toot

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

[2026-06-26 Fri (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
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[2026-05-26 Tue (UTC), 6 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
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Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
Yaiza Bermudez, Samir Perlaza, I\~naki Esnaola
https://arxiv.org/abs/2604.20492 https…

Vapor-Cell-Induced Uncertainty in Rydberg Atom Measurements via the Electric-Field Volume-Integral-Equation Method
Martin Stumpf, William J. Watterson, Rajavardhan Talashila, Matt T. Simons, Alexandra Artusio-Glimpse, Lawrence Carslake, Tian Hong Loh, Christopher L. Holloway
https://arxiv.org/abs/2605.23870…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/11]:
- Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts
Liu, Liu, Li, Liu, Shrivastava, Bi, Hong, H., Zhao

edit_wiktionary: Wiktionary edits (2010)
Three bipartite user-page networks extracted from Wiktionary, for French, German, and English. 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 120876 nodes and 589486 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

So why, all the sudden, would it be really high in nutrients?
My guess is they refilled it with city water.
Washington DC like most major metropolitan areas, adds orthophosphate to the water for lead corrosion control.
It works beautifully for this,
but orthophosphate is also a bioavailable form of phosphate,
aka algae food!

[2026-05-25 Mon (UTC), 3 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot

[2026-06-23 Tue (UTC), 2 new articles found for cs.FL Formal Languages and Automata Theory]
toXiv_bot_toot

Spatial dealiasing of classical geomagnetic survey data through use of a microfabricated wearable quantum magnetometer
Stirling Scholes, Alissa Forsythe, Courtney Dyer, Amy Gilligan, Karen Lythgoe, Jenny Jenkins, Marcin Mrozowski, Jack-Andrew Smith, Stuart Ingleby
https://arxiv.org/abs/2605.23394

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/…

Properties and limitations of geometric tempering for gradient flow dynamics
Francesca Romana Crucinio, Sahani Pathiraja
https://arxiv.org/abs/2604.20301 https://

Attosecond shaping of high-current pulsed electron beams in a home-built 37-keV beamline
Yuichi Tachibana, Marie Ouill\'e, Takuya Hosobata, Takashi Isoshima, Yoshiyuki Takizawa, Yutaka Yamagata, Yuya Morimoto
https://arxiv.org/abs/2605.23253

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/p…

[2026-05-25 Mon (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

[2026-06-22 Mon (UTC), no new articles found for math.KT K-Theory and Homology]
toXiv_bot_toot

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

Self-calibrated multiparameter measurement of three-dimensional microwave fields
Yupeng Wang, Xinghan Wang, Aishik Panja, Md. Ehsanuzzaman, Chuan-Hsun Li, Qi-Yu Liang
https://arxiv.org/abs/2605.26098

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Solutions of Word Equations over Partially Commutative Structures
Volker Diekert, Artur Je\.z, Manfred Kufleitner, Alexander Thumm

From Vintage Mythology to Topological Physics: Unveiling a Universal Structural Attractor in Alcoholic Beverage Aging
Xinyue Jiang, Heng Yang, Zhiyin Jiu, Youxi Luo, Lin Chen, Yuqun Xie
https://arxiv.org/abs/2605.25472

Once in Russia, recruits are shown contracts in Russian,
threatened if they refused to sign,
have their passports taken away,
and are sent to the front lines with little training.
Get all the details here:
https://skywriter.blue/@africacenter.bsky.socia…

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

FPGA-based disturbance-observer servo for broadband noise suppression in laser frequency stabilization
Meung Ho Seo, Jae Hoon Lee, Young-Ho Park, Hyun-Gue Hong, Seji Kang, Myoung-Sun Heo, Sang-Bum Lee, Taeg Yong Kwon, Sangwon Seo, Sang Eon Park
https://arxiv.org/abs/2605.25471

Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information
Zachary James, Joseph Guinness, Arthur DeGaetano
https://arxiv.org/abs/2605.24009 http…

The Pseudospectral Method for the Dirac Equation with Confining Potential
Dengshan Liu, Huihui Xie, Pengxiang Du, Jian Li, Tomoya Naito
https://arxiv.org/abs/2605.25390 https://…

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

Minimally Destructive Fast Imaging of Single Atoms in an Optical Tweezer Array with Coherent Excitation
Rei Yokoyama, Takumi Kashimoto, Kosuke Shibata, Yuki Kawamura, Toshi Kusano, Chih-Han Yeh, Reiji Asano, Yuma Nakamura, Tetsushi Takano, Yosuke Takasu, Yoshiro Takahashi
https://arxiv.org/abs/2605.24175

[2026-05-26 Tue (UTC), 6 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot

[2026-05-26 Tue (UTC), 5 new articles found for physics.atom-ph Atomic Physics]
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[2026-05-25 Mon (UTC), 3 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
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[2026-06-22 Mon (UTC), no new articles found for cs.FL Formal Languages and Automata Theory]
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Revisiting the luminescence properties of Pr3 : YAG within the framework of an extended approach of Judd-Ofelt theory
Maxence Lepers (ICB), G. Hovhannesyan (iLM - LUMINESCENCE, UCBL), Y. Guyot (iLM - LUMINESCENCE, UCBL), R. Moncorg\'e, M. Velazquez
https://arxiv.org/abs/2604.21374

[2026-04-24 Fri (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Vortex photoelectron holography in strong-field tunneling ionization
Yongkun Chen, Oleg I. Tolstikhin, Toru Morishita, Yueming Zhou, Peixiang Lu
https://arxiv.org/abs/2606.23318

An \Al clock with $1.6\times10^{-18}$ systematic uncertainty and its frequency ratios
Fabian Dawel, Johannes Kramer, Derwell Drapier, Lennart Pelzer, Kai Dietze, Mirza A. Ali, Marek Hild, Vincent Barb\'e, Steven A. King, Joshua Klose, Kilian Stahl, Johannes Rahm, Navraj Poudel, S\"oren D\"orscher, Stefan Weyers, Erik Benkler, Christian Lisdat, Piet O. Schmidt

Capture velocities for direct loading of heavy molecules into conveyor-belt magneto-optical traps
Shoukang Yang, Shuhua Deng, Zixuan Zeng, Bo Yan
https://arxiv.org/abs/2606.21944

Quantitative analysis of resonant ionization by smooth laser pulses: Connection between effective Hamiltonian theory and strong-field dressed continua
Jakob Nicolai Bruhnke, Jan Marcus Dahlstr\"om
https://arxiv.org/abs/2606.21526

Direct evidence for projectile electronic structure effects in slow multielectron capture collisions
Akash Srivastav, Sumit Srivastav, Bhas Bapat
https://arxiv.org/abs/2606.21285

[2026-06-23 Tue (UTC), 5 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Three-Dimensional Velocity Analysis and Particle Size Dynamics from Multi-Site RGB-Photometry of Noctilucent Clouds
Oleg S. Ugolnikov, Olga Yu. Golubeva, Egor O. Ugolnikov
https://arxiv.org/abs/2605.21687 https://arxiv.org/pdf/2605.21687 https://arxiv.org/html/2605.21687
arXiv:2605.21687v1 Announce Type: new
Abstract: A method for measuring the altitude and particle size of noctilucent clouds, based on positioning and photometry from wide-angle three-color cameras, has been developed to determine the three velocity components, particle radius, and its derivative with respect to time for different cloud fragments. The updated method is applied to observational data of bright clouds during the summers of 2023-2025. Meridional motion of the cloud is found to be the principal factor driving the change in particle size. The effect of particle size evolution in the presence of a strong latitudinal temperature gradient is also studied.
toXiv_bot_toot

From Licensing to Open Access: Designing a Sustainable Transition in Operational Weather Data
Emma Pidduck, Umberto Modigliani, Victoria L. Bennett, Fabio Venuti, Florian Pappenberger, Florence Rabier
https://arxiv.org/abs/2605.21673 https://arxiv.org/pdf/2605.21673 https://arxiv.org/html/2605.21673
arXiv:2605.21673v1 Announce Type: new
Abstract: This translational article documents the European Centre for Medium-Range Weather Forecasts (ECMWF) transition from a restricted data licensing model to open access under CC BY 4.0, completed in October 2025. The policy context included EU open data requirements and alignment with international data exchange frameworks. The transition was implemented through a tiered service model that kept core forecast data open while offering operationally supported delivery as a cost-recovered service. Between 2020 and 2025, ECMWF executed an iterative planning cycle: setting an annual target for revenue reduction, specifying additions to the open tier under that target, provisioning infrastructure, and assessing outcomes to update assumptions. Drawing on internal administrative records (2014 - 2025), we describe design choices, operational constraints, and early outcomes. In the six months following the end of the transition, more than 93% of previously paying organisations retained a Service Agreement, while open endpoint download volumes increased substantially. We discuss trade-offs in defining the open tier (resolution, parameters, schedule), the reduction of compliance overheads formerly associated with redistribution restrictions, and the scalability implications of global distribution. We note an emerging sustainability question as AI-based forecast products become freely available. The early evidence is consistent with the view that a tiered service model can be designed to reconcile open-access obligations with operational sustainability, subject to monitoring over longer contract renewal cycles (typically annual).
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High-order harmonic generation in argon driven by short laser pulses: effects of post-pulse propagation and windowing
Aaron T. Bondy, Klaus Bartschat
https://arxiv.org/abs/2604.19957

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
Bong Gyun Shin, Chan Sik Lee, Hyesun Suh
https://arxiv.org/abs/2605.21507 https://arxiv.org/pdf/2605.21507 https://arxiv.org/html/2605.21507
arXiv:2605.21507v1 Announce Type: new
Abstract: Atmospheric visibility is a critical variable for transportation safety and air quality management, however, accurate prediction remains challenging due to the complex interactions between meteorological conditions and air pollutants, as well as the rarity of low-visibility events. This study introduces a machine learning framework to nowcast visibility in six major South Korean cities. To handle the imbalance in the 2018-2020 training data, we applied the Synthetic Minority Over-sampling Technique with Nominal and Continuous (SMOTENC) and Conditional Tabular Generative Adversarial Network (CTGAN). An ensemble approach combining machine learning and deep learning models was then used and evaluated on a 2021 test dataset. The results revealed a marked decline in predictive performance in the test set compared to the cross-validation phase. This degradation was attributed to a distributional shift between training and testing periods, which was quantitatively confirmed by measuring the Wasserstein distance of the most influential feature identified by SHAP analysis. In general, this study presents a methodology that aims to simultaneously address the dual challenges of data imbalance and temporal distributional shifts, and emphasizes the necessity of accounting for evolving external environmental factors when implementing nowcasting models on time-series data.
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Error-correcting transition pulses for co-located spin ensembles without frequency selectivity
K. L. Wood, W. A. Terrano
https://arxiv.org/abs/2604.19908 https://

[2026-05-22 Fri (UTC), 5 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
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Electric field dependent g factors of RaOCH$_3$ molecule
Alexander Petrov
https://arxiv.org/abs/2604.19802 https://arxiv.org/pdf/2604.19802

[2026-04-23 Thu (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
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Three-Dimensional Velocity Analysis and Particle Size Dynamics from Multi-Site RGB-Photometry of Noctilucent Clouds
Oleg S. Ugolnikov, Olga Yu. Golubeva, Egor O. Ugolnikov
https://arxiv.org/abs/2605.21687

[2026-06-22 Mon (UTC), no new articles found for physics.atom-ph Atomic Physics]
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From Licensing to Open Access: Designing a Sustainable Transition in Operational Weather Data
Emma Pidduck, Umberto Modigliani, Victoria L. Bennett, Fabio Venuti, Florian Pappenberger, Florence Rabier
https://arxiv.org/abs/2605.21673

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
Bong Gyun Shin, Chan Sik Lee, Hyesun Suh
https://arxiv.org/abs/2605.21507

Bound-state QED test above the Schwinger limit with kaonic fluorine
F. Clozza, S. Manti, F. Sgaramella, L. Abbene, F. Artibani, M. Bazzi, G. Borghi, D. Bosnar, M. Bragadireanu, A. Buttacavoli, M. Carminati, A. Clozza, L. De Paolis, R. Del Grande, K. Dulski, C. Fiorini, I. Fri\v{s}\v{c}i\'c, C. Guaraldo, M. A. Iliescu, P. Indelicato, M. Iwasaki, A. Khreptak, J. Marton, P. Moskal, H. Ohnishi, K. Piscicchia, F. Principato, A. Scordo, M. Silarski, D. Sirghi, F. Sirghi, M. Skurzok, J. S…

Calibrated electric-field imaging with Rydberg-state fluorescence and Autler-Townes splitting
Gabriel Ko, Wiktor Krokosz, Mateusz Mazelanik, Wojciech Wasilewski, Micha{\l} Parniak
https://arxiv.org/abs/2604.19311

Floquet engineering of spin-spin interactions in a hybrid atomic system
Daniel Gavilan-Martin, Grzegorz {\L}ukasiewicz, Vincent Sch\"afer, Mikhail Padniuk, Adam Stefa\'nski, Adam W\k{e}glik, Emmanuel Klinger, Szymon Pustelny, Derek F. Jackson Kimball, Dmitry Budker, Arne Wickenbrock
https://arxiv.org/abs/2604.18681

[2026-04-22 Wed (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
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[2026-05-22 Fri (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
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