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Thesis Tide

Thesis Tide ranks papers based on their relevance to the fields, with the goal of making it easier to find the most relevant papers. It uses AI to analyze the content of papers and rank them!

Securing RIS-Aided Wireless Networks Against Full Duplex Active Eavesdropping

This paper investigates the physical layer security of a Reconfigurable Intelligent Surface (RIS)-aided wireless network in the presence of full-duplex active eavesdropping. In this scenario, the RIS ...

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This article addresses a critical and timely issue in wireless security by exploring the vulnerabilities of RIS-aided networks to active eavesdropping and jamming. The proposed beamforming techniques and optimization strategies present novel contributions that enhance the security mechanisms in advanced wireless communication systems. The study is methodologically rigorous, employing numerical analyses to support the theoretical findings. Its relevance stems from the growing deployment of RIS technology in modern wireless networks amid increasing cybersecurity threats.

BRST Noether Theorem and Corner Charge Bracket

We provide a proof of the BRST Noether 1.5th theorem, conjecture in [JHEP 10 (2024) 055], for a broad class of rank-1 BV theories including supergravity and 2-form gauge theories. The theorem asserts ...

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The article presents a significant advancement in the understanding of BRST Noether theory, which plays a crucial role in modern theoretical physics, particularly in gauge theories and quantum gravity. The introduction of a novel charge bracket to address non-integrability adds depth to existing methodologies, enhancing the theoretical framework and providing tools for future research. Its broad applicability to rank-1 BV theories and implications for the S-matrix and asymptotic symmetries further emphasizes its relevance.

CP violation in cold dense quark matter and axion effects on the non-radial oscillations of neutron stars

Charge-conjugation and parity violation in strong interaction for cold dense quark matter is studied with axions of quantum chromodynamic within the three flavor Nambu--Jona-Lasinio model that include...

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This article tackles a significant and complex topic at the interface of particle physics and astrophysics, focusing on CP violation in quark matter and the influence of axions on neutron star dynamics. The theoretical framework used is robust, employing established models within quantum chromodynamics and relativistic mean field theory. The exploration of neutron star inner structures offers novel insights, particularly the potential for stable hybrid neutron stars with distinct core compositions, which is highly relevant to current astrophysical questions. The findings have implications for understanding fundamental symmetries in nature and the behavior of dense matter, marking it as a noteworthy contribution to the field.

Ordered random walks and the Airy line ensemble

The Airy line ensemble is a random collection of continuous ordered paths that plays an important role within random matrix theory and the Kardar-Parisi-Zhang universality class. The aim of this paper...

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The paper explores a significant connection between ordered random walks and the Airy line ensemble, contributing valuable insights to the understanding of universal properties within random matrix theory. The methodological approach, involving conditioning with a Doob h-transform, highlights rigor in both theory and applications. The focus on a general class of increment distributions adds to the novelty, making the findings applicable beyond specific cases. This work is poised to influence subsequent studies in related fields, particularly in stochastic processes and statistical mechanics.

Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling

Ensuring the safety of autonomous vehicles (AVs) requires both accurate estimation of their performance and efficient discovery of potential failure cases. This paper introduces Bayesian adaptive mult...

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This article introduces a novel method (BAMS) that significantly improves the efficiency of failure discovery in autonomous vehicles through Bayesian adaptive sampling. Its rigorous methodology, demonstrated with real-world data, shows substantial performance gains over traditional techniques, making it influential in both theoretical and practical aspects of AV safety research. It addresses a timely concern in a rapidly evolving field, likely spurring further innovation and applications.

Extension of Lipschitz Functions Revisited

The classical McShane-Whitney extension theorem for Lipschitz functions is refined by showing that for a closed subset of the domain, it remains valid for any interval of the real line. This result is...

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This article advances the understanding of Lipschitz functions, which are crucial in various areas of analysis and topology. The refinement of the McShane-Whitney extension theorem and the introduction of locally Lipschitz extensions through partitions of unity are notable contributions that could inspire further research. The methodological rigor, especially with the direct proof avoiding Stone's theorem, enhances its applicability and comprehensibility, making it useful for researchers in mathematical analysis and related fields.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method

The remaining useful life (RUL) estimation is an important metric that helps in condition-based maintenance. Damage data obtained from the diagnostics techniques are often noisy and the RUL estimated ...

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The article presents a novel approach to remaining useful life estimation, addressing significant challenges in computational efficiency and uncertainty quantification. The use of cloud-based computations paired with the Sequential Monte Carlo method is an innovative strategy that could enhance the practical application of predictive maintenance across various industries. This combination not only strengthens methodological rigor but also offers scalability and real-time capabilities, making it highly applicable in operational settings. The comparative validation with traditional methods further adds robustness to the findings.

Triple sums of Kloosterman sums and the discrepancy of modular inverses

We investigate the distribution of modular inverses modulo positive integers $c$ in a large interval. We provide upper and lower bounds for their box, ball and isotropic discrepancy, thereby e...

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The article presents a novel investigation into the distribution of modular inverses, which has implications for number theory and combinatorics. The introduction of a new bound for triple sums of Kloosterman sums is particularly noteworthy as it could pave the way for further studies in analytic number theory. The rigorous bounding and analysis of discrepancies suggest a strong methodological approach, enhancing its potential for future research applications.

Topological finite size effect in one-dimensional chiral symmetric systems

Topological phases of matter have been widely studied for their robustness against impurities and disorder. The broad applicability of topological materials relies on the reliable transition from idea...

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The article addresses significant advancements in understanding finite size effects in topological materials, a critical area given the practical challenges in real-world applications. The introduction of a new criterion for assessing topological systems enhances its impact, indicating novelty and applicability. The methodological approach is rigorous, combining analytical and numerical analysis, further strengthening its contributions to the field.

From quantum enhanced to quantum inspired Monte Carlo

We perform a comprehensive analysis of the quantum-enhanced Monte Carlo method [Nature, 619, 282-287 (2023)], aimed at identifying the optimal working point of the algorithm. We observe an optimal mix...

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The article presents a robust analysis of quantum-enhanced Monte Carlo methods and proposes valuable insights regarding circuit extensions and alternative uses of classical simulators. Its contribution is significant as it combines theoretical analysis with practical implementations, especially in the context of quantum computing, making it a noteworthy study for both academic research and practical applications in quantum algorithms.

CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos

Navigating dynamic urban environments presents significant challenges for embodied agents, requiring advanced spatial reasoning and adherence to common-sense norms. Despite progress, existing visual n...

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The article presents a novel approach utilizing web-scale videos for training embodied agents in urban navigation, addressing significant challenges in the field. The data-driven methodology and the achievement of superior performance over existing methods highlight both methodological rigor and applicability. The reliance on existing video data reduces costs and promotes accessibility, potentially facilitating broader implementation of autonomous agents.

Searching for compact hierarchical triple systems candidates in astrometric binaries and accelerated solutions

Compact hierarchical triple (CHT) systems, where a tertiary component orbits an inner binary, provide critical insights into stellar formation and evolution. Despite their importance, the detection of...

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The article presents a novel method for identifying compact hierarchical triple systems using Gaia data, addressing a significant gap in stellar dynamics research. The integration of radial velocity and astrometric data represents methodological rigor and potential for widespread application in astrophysics, particularly for understanding stellar evolution. The findings significantly expand the existing catalog of CHT systems, suggesting a robust impact on future studies in this area.

Interplay of superconductivity and charge-density-wave order in kagome materials

In the \textit{A}V $_{3}$ Sb $_{5}$ (\textit{A}~ $=$ ~K,~Rb,~Cs) kagome materials, superconductivity coexists with a charge density wave (CDW), constituting a new platform to study ...

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The article presents a novel approach to understanding the coexistence of superconductivity and charge-density-wave (CDW) order in kagome materials, addressing significant questions regarding the symmetry of the superconducting order parameter. The development of a phenomenological framework and Ginzburg-Landau free energy formulation adds methodological rigor and provides a solid foundation for future research. The interplay of electronic orders in these materials is particularly relevant in advancing the understanding of unconventional superconductivity, making this work impactful.

First result for testing semiclassical gravity effect with a torsion balance

The Schrödinger-Newton equation, a theoretical framework connecting quantum mechanics with classical gravity, predicts that gravity may induce measurable deviations in low-frequency mechanical systems...

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The article presents groundbreaking experimental results in the intersection of quantum mechanics and gravity, addressing key theoretical questions with a novel approach. The methodological rigor and advanced technology used in the study position it as a significant contribution to the field, despite not finding evidence for semiclassical gravity. The proposal of new experimental approaches enhances its future impact.

Partition function estimation with a quantum coin toss

Estimating quantum partition functions is a critical task in a variety of fields. However, the problem is classically intractable in general due to the exponential scaling of the Hamiltonian dimension...

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The paper presents a novel quantum algorithm that significantly improves the estimation of quantum partition functions, crucial for many areas in quantum computing. Its method leverages a quantum coin toss, providing a creative and efficient approach that avoids complex subroutines and reduces runtime scaling in comparison to existing algorithms. The experimental component showcasing error mitigation adds further credibility, making the study both innovative and practically relevant.

Localized obstructed pairs with zero superfluid stiffness from doping an antiferromagnetic insulator

Magnetic interactions play an important role in the pairing mechanism of strongly correlated superconductors, many of which share the layered oxide structure characteristic of the cuprate, nickelate, ...

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The article presents a novel theoretical framework for understanding superconductivity in strongly correlated materials, which is a hot topic in condensed matter physics. The introduction of localized Cooper pairs and the exploration of strong magnetic interactions adds significant depth and originality to existing models. The proposed mean-field theory is methodologically rigorous and provides experimental predictions that could inspire further research, addressing both foundational questions and practical applications.

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation

All-weather image restoration (AWIR) is crucial for reliable autonomous navigation under adverse weather conditions. AWIR models are trained to address a specific set of weather conditions such as fog...

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The article presents a novel approach to address a significant challenge in autonomous navigation by enhancing image restoration under varying weather conditions. The introduction of Low-Rank Adaptation (LoRA) combined with an innovative alignment method (LoRA-Align) demonstrates methodological rigor and potential for practical application. Its focus on addressing out-of-distribution samples indicates a clear understanding of real-world challenges, making this contribution both impactful and applicable across various tasks.

New tools for studying planarity in galaxy satellite systems: Milky Way satellite planes are consistent with ΛCDM

We introduce a new concept -- termed "planarity" -- which aims to quantify planar structure in galaxy satellite systems without recourse to the number or thickness of planes. We use position...

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This article introduces a novel concept of 'planarity' for studying satellite systems in galaxies, which is a significant methodological advancement in astrophysics. The use of extensive datasets from Gaia EDR3 and cosmic simulations adds rigor to the findings. The implications for understanding the kinematical structure of satellite galaxies in relation to the ΛCDM model are highly relevant for ongoing debates in astrophysics regarding dark matter and galaxy formation.

Generating Trees and Fibonacci Polyominoes

We study a new class of polyominoes, called $p$ -Fibonacci polyominoes, defined using $p$ -Fibonacci words. We enumerate these polyominoes by applying generating functions to capture geo...

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This article presents a novel class of polyominoes and employs generating functions to analyze them, indicating methodological rigor and an expansion of mathematical concepts related to combinatorics and geometry. The establishment of bijections further enriches the connections within combinatorial theories, enhancing its potential applicability across related fields.

Cosmic Ray Ionization of Low-Excitation Lines in Active Galactic Nuclei and Starburst Galaxies

Cosmic rays (CRs) can significantly impact dense molecular clouds in galaxies, heating the interstellar medium (ISM) and altering its chemistry, ionization, and thermal properties. Their influence is ...

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The article offers a novel insight into the underexplored influence of cosmic rays on low-excitation emission lines in the context of AGNs and starburst galaxies. The use of rigorous modeling and comparison with observational data demonstrates methodological strength, enhancing its impact. The findings have significant implications for understanding the interplay between cosmic rays and various processes in the interstellar medium, as well as in refining astrophysical diagnostic tools like the BPT diagrams.