Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning

Autor: Lai, S., Utehs, J., Wilhahn, A., Fouz, M. C., Bach, O., Brianne, E., Ebrahimi, A., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Irles, A., Krüger, K., Kvasnicka, J., Lu, S., Neubüser, C., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., De Silva, M., Sudo, Y., Tran, H. L., Liu, L., Masuda, R., Murata, T., Ootani, W., Seino, T., Takatsu, T., Tsuji, N., Pöschl, R., Richard, F., Zerwas, D., Hummer, F., Simon, F., Boudry, V., Brient, J-C., Nanni, J., Videau, H., Buhmann, E., Garutti, E., Huck, S., Kasieczka, G., Martens, S., Rolph, J., Wellhausen, J., Bilki, B., Northacker, D., Onel, Y., Emberger, L., Graf, C.

To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles. Three publi

Externí odkaz: http://arxiv.org/abs/2407.00178

Software Compensation for Highly Granular Calorimeters using Machine Learning

Autor: Lai, S., Utehs, J., Wilhahn, A., Bach, O., Brianne, E., Ebrahimi, A., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Irles, A., Krüger, K., Kvasnicka, J., Lu, S., Neubüser, C., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., De Silva, M., Sudo, Y., Tran, H. L., Buhmann, E., Garutti, E., Huck, S., Kasieczka, G., Martens, S., Rolph, J., Wellhausen, J., Blazey, G. C., Dyshkant, A., Francis, K., Zutshi, V., Bilki, B., Northacker, D., Onel, Y., Hummer, F., Simon, F., Kawagoe, K., Onoe, T., Suehara, T., Tsumura, S., Yoshioka, T., Fouz, M. C., Emberger, L., Graf, C., Wagner, M., Pöschl, R., Richard, F., Zerwas, D., Boudry, V., Brient, J-C., Nanni, J., Videau, H., Liu, L., Masuda, R., Murata, T., Ootani, W., Takatsu, T., Tsuji, N., Chadeeva, M., Danilov, M., Korpachev, S., Rusinov, V.

A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to

Externí odkaz: http://arxiv.org/abs/2403.04632

Technical Design Report for the LUXE Experiment

Autor: Abramowicz, H., Soto, M. Almanza, Altarelli, M., Aßmann, R., Athanassiadis, A., Avoni, G., Behnke, T., Benettoni, M., Benhammou, Y., Bhatt, J., Blackburn, T., Blanch, C., Bonaldo, S., Boogert, S., Borysov, O., Borysova, M., Boudry, V., Breton, D., Brinkmann, R., Bruschi, M., Burkart, F., Büßer, K., Cavanagh, N., Corso, F. Dal, Decking, W., Deniaud, M., Diner, O., Dosselli, U., Elad, M., Epshteyn, L., Esperante, D., Ferber, T., Firlej, M., Fiutowski, T., Fleck, K., Fuster-Martinez, N., Gadow, K., Gaede, F., Gallas, A., Cabrera, H. Garcia, Gerstmayr, E., Ghenescu, V., Giorato, M., Golubeva, N., Grojean, C., Grutta, P., Grzelak, G., Hallford, J., Hartman, L., Heinemann, B., Heinzl, T., Helary, L., Hendriks, L., Hoffmann, M., Horn, D., Huang, S., Huang, X., Idzik, M., Irles, A., Jacobs, R., King, B., Klute, M., Kropf, A., Kroupp, E., Lahno, H., Manghi, F. Lasagni, Lawhorn, J., Levanon, A., Levi, A., Levinson, L., Levy, A., Levy, I., Liberman, A., Liss, B., List, B., List, J., Lohmann, W., Maalmi, J., Madlener, T., Malka, V., Marsault, T., Mattiazzo, S., Meloni, F., Miron, D., Morandin, M., Moroń, J., Nanni, J., Neagu, A. T., Negodin, E., Paccagnella, A., Pantano, D., Pietruch, D., Pomerantz, I., Pöschl, R., Potlog, P. M., Prasad, R., Quishpe, R., Ranken, E., Ringwald, A., Roich, A., Salgado, F., Santra, A., Sarri, G., Sävert, A., Sbrizzi, A., Schmitt, S., Schulthess, I., Schuwalow, S., Seipt, D., Simi, G., Soreq, Y., Spataro, D., Streeter, M., Swientek, K., Hod, N. Tal, Teter, T., Thiebault, A., Thoden, D., Trevisani, N., Urmanov, R., Vasiukov, S., Walker, S., Warren, M., Wing, M., Yap, Y. C., Zadok, N., Zanetti, M., Żarnecki, A. F., Zbińkowski, P., Zembaczyński, K., Zepf, M., Zerwas, D., Ziegler, W., Zuffa, M.

This Technical Design Report presents a detailed description of all aspects of the LUXE (Laser Und XFEL Experiment), an experiment that will combine the high-quality and high-energy electron beam of the European XFEL with a high-intensity laser, to e

Externí odkaz: http://arxiv.org/abs/2308.00515

Experimental prospects for precision observables in $e^{-}e^{+}\rightarrow q\bar{q}$ with $q=b,c$ processes at the ILC operating at 250 and 500 GeV of center of mass

Autor: Irles, A., Marquez, J. P.

Future Higgs Factories will allow the precise study of $e^{-}e^{+}\rightarrow q\bar{q}$ with $q=s,c,b,t$ interactions at different energies, from the Z-pole up to high energies never reached before. In this contribution, we will discuss the experimen

Externí odkaz: http://arxiv.org/abs/2307.14888

Experimental methods and prospects on the measurement of electroweak $b$ and $c$-quark observables at the ILC operating at 250 GeV

Autor: Irles, A., Pöschl, R., Richard, F.

This paper describes a comprehensive experimental study on viability and prospects for the measurement of electroweak observables in $e^{+}e^{-}\rightarrow b\bar{b}$ and $e^{+}e^{-}\rightarrow c\bar{c}$ processes at the International Linear Collider

Externí odkaz: http://arxiv.org/abs/2306.11413