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pro vyhledávání: '"Baron, ."'
The mechanism of coalescence of aqueous droplet pairs under an electric field is quantitatively studied using microfluidics in quiescent conditions. We experimentally trap droplet pairs and apply electric fields with varying frequencies and formulati
Externí odkaz:
http://arxiv.org/abs/2411.17478
In the short period since the release of ChatGPT in November 2022, large language models (LLMs) have changed the software engineering research landscape. While there are numerous opportunities to use LLMs for supporting research or software engineeri
Externí odkaz:
http://arxiv.org/abs/2411.07668
Publikováno v:
Carnegie Mellon Sports Analytics Conference 2024
Using data from professional bouldering competitions from 2008 to 2022, we train a logistic regression to predict climber results and measure climber skill. However, this approach is limited, as a single numeric coefficient per climber cannot adequat
Externí odkaz:
http://arxiv.org/abs/2411.02343
The low energy effective action describing the Kaluza-Klein reduction of string theory on a $d$-torus possesses a continuous O($d, d$) global symmetry. The non-geometric piece of this symmetry, parameterized by a bi-vector $\beta$, was recently shown
Externí odkaz:
http://arxiv.org/abs/2410.17067
Autor:
Yao, Weiliang, Liu, Supeng, Xu, Zifan, Ishikawa, Daisuke, Wang, Zehao, Gao, Bin, Xu, Sijie, Ye, Feng, Hashimoto, Kenichiro, Shibauchi, Takasada, Baron, Alfred Q. R., Dai, Pengcheng
Kagome lattice $A$V$_3$Sb$_5$ ($A$ = K, Rb, and Cs) superconductors without magnetism from vanadium $d$-electrons are intriguing because they have a novel charge density wave (CDW) order around 90 K and display superconductivity at $\sim$3 K that com
Externí odkaz:
http://arxiv.org/abs/2410.16465
We apply both cut-based and machine learning techniques using the same inputs to the challenge of hadronic jet substructure recognition, utilizing classical subjettiness variables within the Delphes parameterized detector simulation framework. We foc
Externí odkaz:
http://arxiv.org/abs/2410.13904
Publikováno v:
A&A 691, A360 (2024)
With increasing amounts of data in astronomy, automated analysis methods have become crucial. Synthetic data are required for developing and testing such methods. Current simulations often suffer from insufficient detail or inaccurate representation
Externí odkaz:
http://arxiv.org/abs/2410.07794
Autor:
Anderson, J. P., Contreras, C., Stritzinger, M. D., Hamuy, M., Phillips, M. M., Suntzeff, N. B., Morrell, N., Gonzalez-Gaitan, S., Gutierrez, C. P., Burns, C. R., Hsiao, E. Y., Anais, J., Ashall, C., Baltay, C., Baron, E., Bersten, M., Busta, L., Castellon, S., de Jaeger, T., DePoy, D., Filippenko, A. V., Folatelli, G., Forster, F., Galbany, L., Gall, C., Goobar, A., Gonzalez, C., Hadjiyska, E., Hoeflich, P., Krisciunas, K., Krzeminski, W., Li, W., Madore, B., Marshall, J., Martinez, L., Nugent, P., Pessi, P. J., Piro, A. L., Rheault, J-P., Ryder, S., Seron, J., Shappee, B. J., Taddia, F., Torres, S., Thomas-Osip, J., Uddin, S.
Type II supernovae (SNeII) mark the endpoint in the lives of hydrogen-rich massive stars. Their large explosion energies and luminosities allow us to measure distances, metallicities, and star formation rates into the distant Universe. To fully explo
Externí odkaz:
http://arxiv.org/abs/2410.06738