Tootfinder

Temporal Entanglement and Witnesses of Non-Classicality
Giuseppe Di Pietra, Gaurav Bhole, James Eaton, Andrew J. Baldwin, Jonathan A. Jones, Vlatko Vedral, Chiara Marletto
https://arxiv.org/abs/2506.15474

Temporal Entanglement and Witnesses of Non-Classicality
The universality of quantum theory has been questioned ever since it was proposed. Key to this long-unsolved question is to test whether a given physical system has non-classical features. Here we connect recently proposed witnesses of non-classicality, based on information-theoretic ideas, with the theory of temporal entanglement. We provide a protocol to witness the non-classicality of a system by probing it with a qubit: we show that, assuming a general conservation law, violating temporal B…

Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil
https://arxiv.org/abs/2506.15470

Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage
With the deployment of large antenna arrays at high frequency bands, future wireless communication systems are likely to operate in the radiative near-field. Unlike far-field beam steering, near-field beams can be focused within a spatial region of finite depth, enabling spatial multiplexing in both the angular and range dimensions. This paper derives the beamdepth for a generalized uniform rectangular array (URA) and investigates how array geometry influences the near-field beamdepth and the l…

Automatic computation of the glycemic index: data driven analysis of the glucose standard
Fabio Credali, Maria Teresa Venuti, Daniele Boffi, Paola Rossi
https://arxiv.org/abs/2506.15471

Automatic computation of the glycemic index: data driven analysis of the glucose standard
The Glycemic Index (GI) is a tool for classifying carbohydrates based on their impact on postprandial glycemia, useful for diabetes prevention and management. This study applies a mathematical model for a data driven simulation of the glycemic response following glucose ingestion. The analysis reveals a direct correlation between glucose response profiles and parameters describing glucose absorption, enabling the classification of subjects into three groups based on the timing of their glycemic…

Segre forms of singular metrics on vector bundles and Lelong numbers
Mats Andersson, Richard L\"ark\"ang
https://arxiv.org/abs/2506.15473 https:/…

Segre forms of singular metrics on vector bundles and Lelong numbers
Let $E\to X$ be a holomorphic vector bundle with a singular Griffiths negative Hermitian metric $h$ with analytic singularities. One can define, given a smooth reference metric $h_0$, a current $s(E,h,h_0)$ that is called the associated Segre form, which defines the expected Bott-Chern class and coincides with the usual Segre form of $h$ where it is smooth. We prove that $s(E,h,h_0)$ is the limit of the Segre forms of a sequence of smooth metrics if the metric is smooth outside the unbounded lo…

Generalized Onsager reciprocal relations of charge and spin transport
Guan-Hua Huang, Hui Tang, Shizhong Zhang, Zhongbo Yan, Zhigang Wu
https://arxiv.org/abs/2506.15478

Generalized Onsager reciprocal relations of charge and spin transport
In spin-orbit-coupled systems the charge and spin transport are generally coupled to each other, namely a charge current will induce a spin current and vice versa. In the presence of time-reversal symmetry $\mathcal{T}$, the cross-coupling transport coefficients describing how one process affects the other are constrained by the famous Onsager reciprocal relations. In this paper, we generalize the Onsager reciprocal relations of charge and spin transport to systems that break the time-reversal …

Blended parameterization in an atmospheric model: Improving severestorm ensemble prediction by considering uncertainties in model physics
Khanh Hung Mai, Duc Le, Kazuo Saito, Tomizawa Futo, Yohei Sawada
https://arxiv.org/abs/2506.15472

Blended parameterization in an atmospheric model: Improving severestorm ensemble prediction by considering uncertainties in model physics
Physics parameterizations are often needed for numerical weather prediction (NWP) of precipitation forecast. This is mainly because the resolutions of most computational atmospheric models are not fine enough to explicitly resolve sub-grid scale processes associated with precipitation systems. The various options in each physical parameterization scheme introduce model physics uncertainty, leading to variations in simulated precipitation due to differing representations of physical processes. W…

Procedures for Constraining Robotic Fiber Positioning for Highly Multiplexed Spectroscopic Surveys: The Case of FPS for SDSS-V
Ilija Medan, Tom Dwelly, Kevin R. Covey, Eleonora Zari, Michael R. Blanton, Joleen K. Carlberg, S. Drew Chojnowski, Alexander Ji, Yue Shen, John Donor, Jos\'e S\'anchez-Gallego, Sean Morrison, H\'ector J. Ibarra-Medel, Conor Sayres, Keivan G. Stassun

Procedures for Constraining Robotic Fiber Positioning for Highly Multiplexed Spectroscopic Surveys: The Case of FPS for SDSS-V
One crucial aspect of planning any large scale astronomical survey is constructing an observing strategy that maximizes reduced data quality. This is especially important for surveys that are rather heterogeneous and broad-ranging in their science goals. The Sloan Digital Sky Survey V (SDSS-V), which now utilizes the Focal Plane System (FPS) to robotically place fibers that feed the spectrographs, certainly meets these criteria. The addition of the FPS facilities an increase in survey efficienc…

This https://arxiv.org/abs/2402.15474 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Functional renormalization group study of the quark-meson model with omega and rho vector mesons
We employ the functional renormalization group flow equations to investigate the phase structure of the two-flavor quark-meson model in the presence of a finite isospin chemical potential, incorporating interactions with omega and rho vector mesons. For comparison, we also compute the phase diagram in the chiral limit using the mean-field approximation. Our findings demonstrate that omega and rho mesons affect the phase structure in markedly distinct ways, and the introduction of an isospin che…

Die ePetition 180664 an den Bundestag aus dem Bereich Krankheitsbekämpfung mit dem Titel
Entwicklung alternativer Rheuma-Therapien gegenüber Immunsuppressiva
kann bis zum Mittwoch 16. Juli 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition wird die Entwicklung alternativer Rheuma-Therapien gegenüber Immunsuppressiva gefordert.
und wird begründet
Aktuelle Rheuma-Therapie funktionieren zur Zeit nur mit starken Immunsuppressiva Medikamenten.
Aut…

This https://arxiv.org/abs/2411.15479 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Sparse Polynomial Matrix Optimization
A polynomial matrix inequality is a formula asserting that a polynomial matrix is positive semidefinite. Polynomial matrix optimization concerns minimizing the smallest eigenvalue of a symmetric polynomial matrix subject to a tuple of polynomial matrix inequalities. This work explores the use of sparsity methods in reducing the complexity of sum-of-squares based methods in verifying polynomial matrix inequalities or solving polynomial matrix optimization. In the unconstrained setting, Newton po…