Tootfinder

The Unreasonable Effectiveness of Mathematical Experiments: What Makes Mathematics Work
Asvin G
https://arxiv.org/abs/2506.19787 https://

The Unreasonable Effectiveness of Mathematical Experiments: What Makes Mathematics Work
This essay proposes a reconceptualization of mathematics as an experimental science exploring patterns in computation and what the advent of AI-assited provers might imply in light of this reconceptualization. Beginning with Voevodsky's crisis of confidence, where a major result remained in limbo for 24 years, neither proven nor refuted, we argue that mathematics is not the discovery of eternal truths but theory-building in response to computational experiments. Just as physicists build theorie…

Unique support from identity-based groups: Professional networks of women and LGBTQ physicists analyzed and compared by career sector
Chase Hatcher, Adrienne Traxler, Lily Donis, Madison Swirtz, Camila Manni, Justin Gutzwa, Charles Henderson, Ram\'on Barthelemy
https://arxiv.org/abs/2506.14752…

Unique support from identity-based groups: Professional networks of women and LGBTQ+ physicists analyzed and compared by career sector
This paper presents a social network analysis of the professional support networks of 100 LGBTQ+ and/or women PhD physicists, comparing the networks based on the career sectors of academia, industry, and government/nonprofit. The methods for constructing and analyzing the ego networks, which are novel in many ways, are explained in greater detail in an earlier publication (Hatcher et. al., 2025). We use statistical tests of independence to explore differences between sectors in terms of whole n…

Fluid-induced snap-through instability of spherical shells
Pier Giuseppe Ledda, Hemanshul Garg, Vitus {\O}stergaard-Clausen, Lucas Krumenacker Rudzki, Ahmad Madary, Matteo Pezzulla
https://arxiv.org/abs/2506.12247

Fluid-induced snap-through instability of spherical shells
From the flutter of aircraft wings to an umbrella flipping inside out in the wind, fluid-induced elastic instabilities are a major concern in aeroelastic design. However, Nature often harnesses these instabilities to achieve new functionalities, such as the mechanical snap-through of the Venus flytrap. Inspired by this, engineers and physicists have increasingly exploited elastic instabilities to enable rapid shape changes in metamaterials and soft robots, provided the structure remains elastic…

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Bennett Vorticity: Analytic solutions to a flowing, nonlinear, Shear-Flow Stabilized Z-pinch equilibrium
Matt Russell
https://arxiv.org/abs/2506.05727 http…

Bennett Vorticity: Analytic solutions to a flowing, nonlinear, Shear-Flow Stabilized Z-pinch equilibrium
The Bennett profile is a classic form for the plasma number density of an equilibrium Z pinch that has been studied for almost a century by plasma physicists interested in nonlinear plasma pinch science, and fusion energy. By transferring the nonlinearity entirely from the number density to the plasma flow velocity the magnetic structure of the resulting flowing Z-pinch equilibrium remains unchanged whilst now being defined by a vortical flow which previously did not exist in the classic case. …

An introduction to Neural Networks for Physicists
G. Caf\'e de Miranda, Gubio G. de Lima, Tiago de S. Farias
https://arxiv.org/abs/2505.13042 https://

An introduction to Neural Networks for Physicists
Machine learning techniques have emerged as powerful tools to tackle various challenges. The integration of machine learning methods with Physics has led to innovative approaches in understanding, controlling, and simulating physical phenomena. This article aims to provide a practical introduction to neural network and their basic concepts. It presents some perspectives on recent advances at the intersection of machine learning models with physical systems. We introduce practical material to gu…

Axioms of Quantum Mechanics in light of Continuous Model Theory
Boris Zilber
#toXiv_bot_toot

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Stochastic thermodynamics for classical non-Markov jump processes
Kiyoshi Kanazawa, Andreas Dechant
https://arxiv.org/abs/2506.04726 https://

Stochastic thermodynamics for classical non-Markov jump processes
Stochastic thermodynamics investigates energetic/entropic bounds in small systems, such as biomolecular motors, chemical-reaction networks, and quantum nano-devices. Foundational results, including the second law and thermodynamic uncertainty relations, predominantly rely on the Markov assumption -- neglecting history dependence of physical systems. However, while physicists recognise that the Markov assumption is dubious in real experimental setups, extending stochastic thermodynamics to gener…

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Lambert's problem in orbital dynamics: a self--contained introduction
Lenox Helene Baloglou, Parneet Gill, Tonatiuh S\'anchez-Vizuet
https://arxiv.org/abs/2506.10556

Lambert's problem in orbital dynamics: a self--contained introduction
Lambert's problem is a classical boundary value problem in analytical mechanics. It arises when trying to determine the energy required to place a particle, subject to a central gravitational potential, in a free fall trajectory connecting two given points on a desired travel time. Due to its mathematical beauty and its relevance in aerospace engineering, it has been and remains the object of attention of countless engineers, mathematicians (pure and applied), and physicists seeking to produce …

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

Updated baseline design for HALHF: the hybrid, asymmetric, linear Higgs factory
C. A. Lindstr{\o}m, E. Adli, J. B. B. Chen, P. Drobniak, E. E. H{\o}rlyk, D. Kalvik, K. N. Sjobak, T. Barklow, S. Gessner, M. Hogan, M. Berggren, A. Laudrain, B. List, J. List, V. Maslov, K. P\~oder, M. Th\'evenet, N. Walker, J. Wood, S. Boogert, P. N. Burrows, V. Cilento, R. D'Arcy, B. Foster, S. Farrington, X. Lu, G. Moortgat-Pick, A. Seryi

Updated baseline design for HALHF: the hybrid, asymmetric, linear Higgs factory
Particle physicists aim to construct a electron-positron Higgs factory as the next major particle collider. However, the high associated costs motivate the development of more affordable collider designs. Plasma-wakefield acceleration is a promising technology to this end. HALHF is a proposal for a Higgs factory that utilizes beam-driven plasma-wakefield acceleration to accelerate electrons to high energy with high gradient, while using radio-frequency acceleration to accelerate positrons to a …

Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level
Karl Henrik Fredly, Tor Ole B. Odden, Ben Zwickl
https://arxiv.org/abs/2505.21246

Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level
Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory level, especially as they transition into physics research. In this study, we apply the theory of Physics Computational Literacy and the Novice-Expert framework to describe the development of expertise in computational physics, as students transition from novice to journeymen computational physicists. We base this descri…

This https://arxiv.org/abs/2505.21246 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level
Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory level, especially as they transition into physics research. In this study, we apply the theory of Physics Computational Literacy and the Novice-Expert framework to describe the development of expertise in computational physics, as students transition from novice to journeymen computational physicists. We base this descri…