Tootfinder

Study of the peculiar variable star Khavchenko 1
A. E. Maslak, D. V. Denisenko
https://arxiv.org/abs/2507.00149 https://arxiv.org/pdf…

Study of the peculiar variable star Khavchenko 1
The work is devoted to the study of the peculiar variable star Khavchenko 1 in Auriga. It was discovered by the 7th grade student Sergey Khavchenko in 2020. The brightness of the star varies with an amplitude of about 0.4 magnitude and the period of 4.213 days. Initially the star could not have been attributed to any known type of variability. Its light curve looks like the upside-down light curve of the eclipsing binary similar to that of luminous red nova V1309 Scorpii a few years before the …

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
Bo Jiang, Taolue Yang, Youyuan Liu, Chengming Zhang, Xubin He, Sian Jin
https://arxiv.org/abs/2509.00579

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
Transformer-based large language models (LLMs) demonstrate impressive potential in various practical applications. However, long context inference poses a significant challenge due to the enormous memory requirements of the key-value (KV) cache, which can scale to multiple gigabytes as sequence length and batch size increase. In this paper, we present KVComp, a generic and efficient KV cache management framework optimized for long-text generation that synergistically works with both latency-cri…

Dynamical Properties of Dense Associative Memory
Kazushi Mimura, Jun'ichi Takeuchi, Yuto Sumikawa, Yoshiyuki Kabashima, Anthony C. C. Coolen
https://arxiv.org/abs/2506.00851

Dynamical Properties of Dense Associative Memory
The dense associative memory is one of the basic modern Hopfield networks and can store large numbers of memory patterns. While the stationary state storage capacity has been investigated so far, its dynamical properties have not been discussed. In this paper, we analyze the dynamics by means of an exact approach based on generating functional analysis. It allows us to investigate convergence properties as well as the size of the attraction basins. We also analyze the stationary state of the up…

The Good Men Project republished one of my posts. #JamesDobson
https://goodmenproject.com/featured-content/i-come-to-bury-not-to-praise-kpkn/

Excising Cauchy Horizons with Nonlinear Electrodynamics
Tom\'a\v{s} Hale, Robie A. Hennigar, David Kubiznak
https://arxiv.org/abs/2506.20802 https://…

Excising Cauchy Horizons with Nonlinear Electrodynamics
Charged and/or rotating black holes in General Relativity feature Cauchy horizons, which indicate a breakdown of predictability in the theory. Focusing on spherically symmetric charged black holes, we remark that the inevitability of Reissner-Nordstrom Cauchy horizon is due to the divergent electromagnetic self-energy of point charges. We demonstrate that any causal theory of nonlinear electrodynamics that regularizes the point charge self-energy also eliminates Cauchy horizons for weakly charg…

Test beam measurements and computer simulations of the ATLAS ITk R2 silicon strip detector
Jan-Hendrik Arling, Pavol Federic, Yajun He, Cole Michael Helling, Nigel Hessey, Lennart Huth, Geetika Jain, Callan Jessiman, Sebastian Manson, Luise Poley, John Stakely Keller, Jiri Kroll, Jiri Kvasnicka, Radek Privara, Peter Speers, Pavel Tuma
https://…

Test beam measurements and computer simulations of the ATLAS ITk R2 silicon strip detector
The ATLAS Inner Tracker, the future innermost part of the ATLAS detector, is an all-silicon tracker composed of pixel and strip modules, designed to cope with the extreme conditions expected during High-Luminosity LHC runs. Thorough testing of modules during the individual phases of their development is critical to ensure the required performance level of the whole tracker. This document presents results obtained from electron beam measurements of the ATLAS ITk R2 end-cap strip module. Key perf…

Hyperfine interaction of electrons confined in CsPbI$_3$ nanocrystals with nuclear spin fluctuations
Sergey R. Meliakov, Evgeny A. Zhukov, Vasilii V. Belykh, Kirill V. Kavokin, Mikhail O. Nestoklon, Elena V. Kolobkova, Maria S. Kuznetsova, Manfred Bayer, Dmitri R. Yakovlev
https://arxiv.org/abs/2508.17881

Hyperfine interaction of electrons confined in CsPbI$_3$ nanocrystals with nuclear spin fluctuations
The coherent spin dynamics of electrons are investigated for CsPbI$_3$ perovskite nanocrystals in a glass matrix using time-resolved Faraday ellipticity. In nanocrystals with a diameter of about 11 nm, the Larmor precession frequency has a linear dependence on magnetic field corresponding to the electron Landé $g$-factor of 2.07. We find a finite Larmor precession frequency at zero magnetic field, corresponding to the electron spin splitting of $0.8$ $μ$eV. This splitting is explained by the …

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Book of Love:
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#BookofLove
https://evankenney.bandcamp.com/track/the-book-of-love
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🎶 KEXP playlist 👇
https://open.spotify.com/playlist/6VNALrOa3gWbk794YuIrwg

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
Andrei Ushkov, Nadezhda Belozerova, Dmitriy Dyubo, Ilya Martynov, Alexander Syuy, Daniil Tselikov, Georgy Ermolaev, Sergey V. Bazhenov, Roman I. Romanov, Ivan Kruglov, Anton A. Popov, Alexander Chernov, Alexey D. Bolshakov, Sergey Novikov, Andrey A. Vyshnevyy, Aleksey Arsenin, Andrei V. Kabashin, Gleb I. Tselikov, Valentyn Volkov

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
The control of material properties at the atomic scale remains a central challenge in materials science. Transition metal dichalcogenides (TMDCs) offer remarkable electronic and optical properties, but their functionality is largely dictated by their stable crystalline phases. Here we demonstrate a single-step, ligand-free strategy using femtosecond laser ablation in liquid to transform crystalline, stoichiometric palladium diselenide (PdSe$_{\mathrm{2}}$) into highly stable, amorphous, and non…

Use of a genetic algorithm to find solutions to introductory physics problems
Tom Bensky, Justin Kopcinski
https://arxiv.org/abs/2508.10920 https://arxiv.o…

Use of a genetic algorithm to find solutions to introductory physics problems
In this work, we show how a genetic algorithm (GA) can be used to find step-by-step solutions to introductory physics problems. Our perspective is that the underlying task for this is one of finding a sequence of equations that will lead to the needed answer. Here a GA is used to find an appropriate equation sequence by minimizing a fitness function that measures the difference between the number of unknowns versus knowns in a set of equations. Information about knowns comes from the GA posing …