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Heavy flavored hydrogen molecule systems
Hui-Min Yang, Yao Ma, Shi-Lin Zhu
https://arxiv.org/abs/2507.21498 https://arxiv.org/pdf/2507.21498 https://arxiv.org/html/2507.21498
arXiv:2507.21498v1 Announce Type: new
Abstract: This study provides a comprehensive analysis of $S$-wave exotic hydrogen-like three-body systems ($pp\mu^-$, $pp\tau^-$, $\mu^-\mu^-p$, $\tau^-\tau^-p$, $p\mu^-\tau^-$) with spin-parity $J^P = 1/2^ $ and $3/2^ $, and four-body systems ($pp\mu^-\mu^-$, $pp\tau^-\tau^-$) with $J^P = 0^ $, $1^ $, and $2^ $. We use complex scaling and Gaussian expansion methods to solve the complex-scaled Schr\"{o}dinger equation and obtain possible bound and quasi-bound states. The resulting binding energies range from $-33.8$~keV to $-340$~eV. Notably, we present the first theoretical estimation of the bound-state energy levels of $pp\mu^-\mu^-$ and $pp\tau^-\tau^-$, which is of significant importance for understanding exotic few-body Coulomb systems. We further analyze spin configurations and root-mean-square radii to elucidate the spatial structure of these bound and quasi-bound states. Our results reveal that $K$-type spatial configurations play a crucial role in accurately describing bound and quasi-bound states in the hydrogen-molecule-like systems $pp\mu^-\mu^-$ and $pp\tau^-\tau^-$. Incorporating $K$-type configurations significantly alters the mass spectra of these states. Future muon colliders and muon facilities may offer promising platforms for the possible copious production of such heavy flavored hydrogen molecules and molecular ions. For instance, scattering processes such as $2\mu^- \mathrm{H_2} \to \mathrm{H_{2\mu}} 2e^-$, $\mu^- \mathrm{H_2} \to \mathrm{H_{\mu e}} e^-$, and $\mu^- \mathrm{H_2^ } \to \mathrm{H_{2\mu}^ } e^-$ could be utilized, facilitating detailed studies of intriguing states such as $\mathrm{H_{2\mu}}$, $\mathrm{H_{\mu e}}$, and $\mathrm{H_{2\mu}^ }$.
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MetaCLIP 2: A Worldwide Scaling Recipe
Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-Wen Li, Hu Xu
https://arxiv.org/abs/2507.22062

MetaCLIP 2: A Worldwide Scaling Recipe
Contrastive Language-Image Pretraining (CLIP) is a popular foundation model, supporting from zero-shot classification, retrieval to encoders for multimodal large language models (MLLMs). Although CLIP is successfully trained on billion-scale image-text pairs from the English world, scaling CLIP's training further to learning from the worldwide web data is still challenging: (1) no curation method is available to handle data points from non-English world; (2) the English performance from existin…

#Deepfakes sind längst kein Sci-Fi mehr: Jeder, der ein Selfie ins Netz stellt, liefert Rohmaterial für KI-Manipulationen. Die Folgen? Vertrauensverlust, Rufschäden, Markenkrisen – und Plattformen wie Meta schauen zu, solange die Werbeeinnahmen stimmen. Lina Knees, #Handelsblatt

MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models
Po-Yuan Mao, Cheng-Chang Tsai, Chun-Shien Lu
https://arxiv.org/abs/2507.21195 h…

MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models
The great success of the diffusion model in image synthesis led to the release of gigantic commercial models, raising the issue of copyright protection and inappropriate content generation. Training-free diffusion watermarking provides a low-cost solution for these issues. However, the prior works remain vulnerable to rotation, scaling, and translation (RST) attacks. Although some methods employ meticulously designed patterns to mitigate this issue, they often reduce watermark capacity, which c…

Plasmon-assisted photoelectron emission in a model cluster using time-dependent density functional theory and the time-dependent surface-flux method
Mikhail Bednov, Waqas Pervez, Ingo Barke, Dieter Bauer
https://arxiv.org/abs/2507.22709

Plasmon-assisted photoelectron emission in a model cluster using time-dependent density functional theory and the time-dependent surface-flux method
We investigate plasmon-assisted photoelectron emission using a one-dimensional time-dependent density-functional theory (TDDFT) model. Photoelectron spectra are computed with the time-dependent surface-flux (t-SURFF) method. In addition to the expected above-threshold ionization (ATI) comb, we observe peaks that arise from long-lived plasmon oscillations and the associated electron emission occurring after the laser pulse. We further analyze the positions of these peaks and their scaling behavi…

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor
Yuhang Wang, Ang Li, Yihang Shao, Qiang Li, Yang Zhao, Shilong Pan
https://arxiv.org/abs/2507.22374

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor
The rapid development of AR/VR, remote sensing, satellite radar, and medical equipment has created an imperative demand for ultra efficient image compression and reconstruction that exceed the capabilities of electronic processors. For the first time, we demonstrate an end to end image compression and reconstruction approach using an optoelectronic computing processor,achieving orders of magnitude higher speed and lower energy consumption than electronic counterparts. At its core is a 32X32 sil…

Selenskyj ernennt Stefanischyna zur US-Botschafterin
Präsident Wolodymyr Selenskyj hat Olha Stefanischyna, eine ehemalige hochrangige Kabinettsministerin, zur ukrainischen Botschafterin in den Vereinigten Staaten ernannt. Selenskyj erklärte in seiner abendlichen Videoansprache, er habe das Dekret zur Ernennung der 39-jährigen Stefanischyna unterzeichnet. Sie übernimmt das Amt von Oksana Markarowa, d…
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sad :3 https://github.com/qilingframework/qiling/issues/253
someone's gotta retry ^^

Rewrite in Rust · Issue #253 · qilingframework/qiling
Python is a poor choice for anything remotely complex, especially that affects the execution times like emulation. Projects like Angr and Miasm met a bottleneck of Python, it's slowness, GIL, memor...

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit
Adrian Celaya, Tucker Netherton, Dawid Schellingerhout, Caroline Chung, Beatrice Riviere, David Fuentes
https://arxiv.org/abs/2507.19626

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit
Medical image segmentation continues to advance rapidly, yet rigorous comparison between methods remains challenging due to a lack of standardized and customizable tooling. In this work, we present the current state of the Medical Imaging Segmentation Toolkit (MIST), with a particular focus on its flexible and modular postprocessing framework designed for the BraTS 2025 pre- and post-treatment glioma segmentation challenge. Since its debut in the 2024 BraTS adult glioma post-treatment segmentat…