Measurements of hadron production in 90 GeV/c proton-carbon interactions

Autor: Adhikary, H., Adrich, P., Allison, K. K., Amin, N., Andronov, E. V., Arsene, I. -C., Bajda, M., Balkova, Y., Battaglia, D., Bazgir, A., Bhosale, S., Bielewicz, M., Blondel, A., Bogomilov, M., Bondar, Y., Bryliński, W., Brzychczyk, J., Buryakov, M., Camino, A. F., Chandak, Y., Ćirković, M., Csanád, M., Cybowska, J., Czopowicz, T., Dalmazzone, C., Davis, N., Dmitriev, A., von Doetinchem, P., Dominik, W., Dumarchez, J., Engel, R., Feofilov, G. A., Fields, L., Fodor, Z., Friend, M., Gaździcki, M., Gollwitzer, K. E., Golosov, O., Golovatyuk, V., Golubeva, M., Grebieszkow, K., Guber, F., Hurh, P. G., Ilieva, S., Ivashkin, A., Izvestnyy, A., Karpushkin, N., Kiełbowicz, M., Kireyeu, V. A., Kolesnikov, R., Kolev, D., Koshio, Y., Kowalski, S., Kozłowski, B., Krasnoperov, A., Kucewicz, W., Kuchowicz, M., Kuich, M., Kurepin, A., László, A., Lewicki, M., Lykasov, G., Lyubushkin, V. V., Maćkowiak-Pawłowska, M., Makhnev, A., Maksiak, B., Malakhov, A. I., Marcinek, A., Marino, A. D., Mathes, H. -J., Matulewicz, T., Matveev, V., Melkumov, G. L., Merzlaya, A., Mik, Ł., Morozov, S., Nagai, Y., Nakadaira, T., Naskręt, M., Nishimori, S., Olivier, A., Ozvenchuk, V., Panova, O., Paolone, V., Petukhov, O., Pidhurskyi, I., Płaneta, R., Podlaski, P., Popov, B. A., Pórfy, B., Prokhorova, D. S., Pszczel, D., Puławski, S., Renfordt, R., Ren, L., Ortiz, V. Z. Reyna, Röhrich, D., Rondio, E., Roth, M., Rozpłochowski, Ł., Rumberger, B. T., Rumyantsev, M., Rustamov, A., Rybczynski, M., Rybicki, A., Rybka, D., Sakashita, K., Schmidt, K., Seryakov, A., Seyboth, P., Shah, U. A., Shiraishi, Y., Shukla, A., Słodkowski, M., Staszel, P., Stefanek, G., Stepaniak, J., Świderski, Ł., Szewiński, J., Szukiewicz, R., Taranenko, A., Tefelska, A., Tefelski, D., Tereshchenko, V., Tsenov, R., Turko, L., Tveter, T. S., Unger, M., Urbaniak, M., Veberič, D., Vitiuk, O., Volkov, V., Wickremasinghe, A., Witek, K., Wójcik, K., Wyszyński, O., Zherebtsova, A. Zaitsev E., Zimmerman, E. D., Zviagina, A.

This paper presents the multiplicity of neutral and charged hadrons produced in 90 GeV$/c$ proton-carbon interactions from a dataset taken by the NA61/SHINE experiment in 2017. Particle identification via dE/dx was performed for the charged hadrons $

Externí odkaz: http://arxiv.org/abs/2410.23098

Prominent mid-infrared excess of the dwarf planet (136472) Makemake discovered by JWST/MIRI indicates ongoing activity

Autor: Kiss, Csaba, Müller, Thomas G., Farkas-Takács, Anikó, Moór, Attila, Protopapa, Silvia, Parker, Alex H., Santos-Sanz, Pablo, Ortiz, Jose Luis, Holler, Bryan J., Wong, Ian, Stansberry, John, Fernández-Valenzuela, Estela, Glein, Christopher R., Lellouch, Emmanuel, Vilenius, Esa, Kalup, Csilla E., Regály, Zsolt, Szakáts, Róbert, Marton, Gábor, Pál, András, Szabó, Gyula M.

We report on the discovery of a very prominent mid-infrared (18-25 {\mu}m) excess associated with the trans-Neptunian dwarf planet (136472) Makemake. The excess, detected by the MIRI instrument of the James Webb Space Telescope, along with previous m

Externí odkaz: http://arxiv.org/abs/2410.22544

Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models

Autor: Leneutre, Jean, Malvone, Vadim, Ortiz, James

In this paper, we propose a novel formalism called Probabilistic Obstruction Temporal Logic (POTL), which extends Obstruction Logic (OL) by incorporating probabilistic elements. POTL provides a robust framework for reasoning about the probabilistic b

Externí odkaz: http://arxiv.org/abs/2411.00025

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques

Autor: Ortiz-Perez, David, Benavent-Lledo, Manuel, Garcia-Rodriguez, Jose, Tomás, David, Vizcaya-Moreno, M. Flores

Cognitive decline is a natural part of aging, often resulting in reduced cognitive abilities. In some cases, however, this decline is more pronounced, typically due to disorders such as Alzheimer's disease. Early detection of anomalous cognitive decl

Externí odkaz: http://arxiv.org/abs/2410.18972

Learning Graph Filters for Structure-Function Coupling based Hub Node Identification

Autor: Ortiz-Bouza, Meiby, Vu, Duc, Karaaslanli, Abdullah, Aviyente, Selin

Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional networks of the brain. One such measure of network organization is hub node identification. Hubs are speciali

Externí odkaz: http://arxiv.org/abs/2410.17410