Tootfinder

Stacked Intelligent Metasurface Assisted Multiuser Communications: From a Rate Fairness Perspective
Junjie Fang, Chao Zhang, Jiancheng An, Hongwen Yu, Qingqing Wu, M\'erouane Debbah, Chau Yuen
https://arxiv.org/abs/2507.17153

Stacked Intelligent Metasurface Assisted Multiuser Communications: From a Rate Fairness Perspective
Stacked intelligent metasurface (SIM) extends the concept of single-layer reconfigurable holographic surfaces (RHS) by incorporating a multi-layered structure, thereby providing enhanced control over electromagnetic wave propagation and improved signal processing capabilities. This study investigates the potential of SIM in enhancing the rate fairness in multiuser downlink systems by addressing two key optimization problems: maximizing the minimum rate (MR) and maximizing the geometric mean of …

Closed curve covering and multiagent TSP ratios
Travis Dillon, Adrian Dumitrescu
https://arxiv.org/abs/2506.16675 https://arxiv.org/p…

Closed curve covering and multiagent TSP ratios
How efficiently can a closed curve of unit length in $\mathbb{R}^d$ be covered by $k$ closed curves so as to minimize the maximum length of the $k$ curves? We show that the maximum length is at most $2k^{-1} - \frac{1}{4} k^{-4}$ for all $k\geq 2$ and $d \geq 2$. As a byproduct, we show that $k$ agents can traverse a Euclidean TSP instance significantly faster than a single agent. We thereby sharpen recent planar results by Berendsohn, Kim, and Kozma (2025) and extend these improvements to all …

Simplifying Strangeness Fluctuations through Balance Functions in Proton-Proton Collisions
Christian Bierlich, Peter Christiansen
https://arxiv.org/abs/2506.18375

Simplifying Strangeness Fluctuations through Balance Functions in Proton-Proton Collisions
Recent measurements of event-by-event fluctuations of multistrange baryons and kaons in proton-proton collisions by ALICE have been proposed as sensitive probes to distinguish between thermal and string-based hadronization mechanisms. We demonstrate that two key observables -- the normalized net-$Ξ$ second-order cumulant and the net-$K$--net-$Ξ$ Pearson correlation coefficient -- can be re-expressed in terms of balance function integrals, thereby revealing their underlying microscopic content…

Multiscale Approximation as a Bias-Reducing Strategy for Scalar and Manifold-Valued Functions
Asaf Abas, Nir Sharon
https://arxiv.org/abs/2507.06707 https:…

Multiscale Approximation as a Bias-Reducing Strategy for Scalar and Manifold-Valued Functions
We study the bias-variance tradeoff within a multiscale approximation framework. Our approach utilizes a given quasi-approximation operator, repeatedly applied in an error-correction scheme over a hierarchical data structure. We introduce a new bias measurement, the bias ratio, to quantitatively assess the improvements made by multiscale approximations and demonstrate that this multiscale strategy effectively reduces the bias component of the approximation error, thereby providing a more flexib…

Multiscale transform based seismic reflectivity inversion using convolutional neural network
John Castagna (University of Houston), Oleg Portniaguine (Lumina Geophysical, Houston, Tx), Gabriel Gil (Lumina Geophysical, Houston, Tx), Arnold Oyem (Lumina Geophysical, Houston, Tx), Chen Liang (Lumina Geophysical, Houston, Tx)
https://

Multiscale transform based seismic reflectivity inversion using convolutional neural network
The Multiscale Fourier Transform of a seismic trace performs time-frequency analyses over a range of window lengths. The variation in window length captures local and global relative amplitudes between events, thereby allowing reflectivity inversion that is independent of the amplitude spectrum of the seismic wavelet. As the temporal and spatial variation of the actual seismic wavelet in seismic reflection data is poorly known, this approach has many advantages over conventional seismic reflect…

Static treatment of dynamic interactions in correlated electron systems
Anton Pauli, Akshat Mishra, Malte R\"osner, Erik G. C. P. van Loon
https://arxiv.org/abs/2507.05974

Static treatment of dynamic interactions in correlated electron systems
Correlated electron physics is intrinsically a multiscale problem, since high-energy electronic states screen the interactions between the correlated electrons close to the Fermi level, thereby reducing the magnitude of the interaction strength and dramatically shortening its range. Thus, the handling of screening is an essential ingredient in the first-principles modelling of correlated electron systems. Screening is an intrinsically dynamic process and the corresponding downfolding methods su…

Asymptotic Preserving and Accurate scheme for Multiscale Poisson-Nernst-Planck (MPNP) system
Clarissa Astuto, Giovanni Russo
https://arxiv.org/abs/2507.01402

Asymptotic Preserving and Accurate scheme for Multiscale Poisson-Nernst-Planck (MPNP) system
In this paper, we propose and validate a two-species Multiscale model for a Poisson-Nernst-Planck (PNP) system, focusing on the correlated motion of positive and negative ions under the influence of a trap. Specifically, we aim to model surface traps whose attraction range, of length delta, is much smaller then the scale of the problem. The physical setup we refer to is an anchored gas drop (bubble) surrounded by a diffusive flow of charged surfactants (ions). When the diffusing surfactants rea…