Author: "Bäck, T." - Searchworks@Jio Institute Digital Library Search Results

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433 results on '"Bäck, T."'

1. Radon signals in soil gas associated with earthquake occurrence in Greece: review and perspective

Author: Stoulos, S., Papadimitriou, E., Karakostas, V., Kourouklas, Ch., Atac–Nyberg, A., Wyss, R., Bäck, T., Tallini, M., and DeLuca, G.
Published: 2024
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2. Lifetime measurement of the yrast 2+118 state in +118Te

Author: Cederlöf, E. Ahlgren, Bäck, T., Nyberg, J., Qi, C., Ataç, A., Badran, H., Braunroth, T., Calverley, T., Cox, D. M., Doncel, M., Grahn, T., Greenlees, P., Hilton, J., Julin, R., Juutinen, S., Konki, J., Li, H., Matta, S., Modamio, V., Singh, B. S. Nara, Pakarinen, J., Papadakis, P., Partanen, J., Rahkila, P., Ruotsalainen, P., Sandzelius, M., Sarén, J., Scholey, C., Stolze, S., Subramaniam, P., Uusitalo, J., and Valiente-Dobón, J. J.
Published: 2023
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3. Diversity of shapes and rotations in the gamma-soft 130Ba nucleus: first observation of a t-band in the A=130 mass region

Author: Petrache, C. M., Walker, P. M., Guo, S., Chen, Q. B., Frauendorf, S., Liu, Y. X., Wyss, R. A., Mengoni, D., Qiang, Y., Astier, A., Dupont, E., Li, R., Lv, B. F., Zheng, K. K., Bazzacco, D., Boso, A., Goasduff, A., Recchia, 8 F., Testov, D., Galtarossa, F., Jaworski, G., Napoli, D. R., Riccetto, S., Siciliano, M., Valiente-Dobon, J. J., Liu, M. L., Zhou, X. H., Wang, J. G., Andreoiu, C., Garcia, F. H., Ortner, K., Whitmore, K., Back, T., Cederwall, B., Lawrie, E. A., Kuti, I., Sohler, D., Timar, J., Marchlewski, T., Srebrny, J., and Tucholski, A.
Subjects: Nuclear Experiment, Nuclear Theory
Abstract: Several new bands have been identified in 130Ba, among which there is one with band-head spin 8+. Its properties are in agreement with the Fermi-aligned \nu h11/2^2 , 7/2+[523] \otimes 9/2-[514] Nilsson configuration. This is the first observation of a two-quasiparticle t-band in the A=130 mass region. The t-band is fed by a dipole band involving two additional h11/2 protons. The odd-spin partners of the proton and neutron S-bands and the ground-state band at high spins are also newly identified. The observed bands are discussed using several theoretical models, which strongly suggest the coexistence of prolate and oblate shapes polarized by rotation aligned two-proton and two-neutron configurations, as well as prolate collective rotations around axes with different orientations. With the new results, 130Ba presents one of the best and most complete sets of collective excitations that a gamma-soft nucleus can manifest at medium and high spins, revealing a diversity of shapes and rotations for the nuclei in the A = 130 mass region., Comment: 8 pages, 7 figures
Published: 2019
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4. Laser Stimulated Grain Growth in 304 Stainless Steel Anodes for Reduced Hydrogen Outgassing

Author: Gortat, D., Sparkes, M., Fairchild, S. B., Murray, P. T., Cahay, M. M., Back, T. C., Gruen, G. J., Lockwood, N. P., and Neill, W. O
Subjects: Condensed Matter - Materials Science
Abstract: Metal anodes in high power source (HPS) devices erode during operation due to hydrogen outgassing and plasma formation, both of which are thermally driven phenomena generated by the electron beam impacting the anode s surface. This limits the lowest achievable pressure in an HPS device, which reduces its efficiency. Laser surface melting the 304 stainless steel anodes by a continuous wave fiber laser showed a reduction in hydrogen outgassing by a factor of ~4 under 50 keV electron bombardment, compared to that from untreated stainless steel. This is attributed to an increase in the grain size (from 40 - 3516 micrometer2), which effectively reduces the number of characterized grain boundaries that serve as hydrogen trapping sites, making such laser treated metals excellent candidates for use in vacuum electronics., Comment: 7 pages, 4 figures, Material Letters 2017
Published: 2018

5. Evidence for Adsorbate-Enhanced Field Emission from Carbon Nanotube Fibers

Author: Murray, P. T., Back, T. C., Cahay, M. M., Fairchild, S. B., Maruyama, B., Lockwood, N. P., and Pasquali, M.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: We used residual gas analysis (RGA) to identify the species desorbed during field emission (FE) from a carbon nanotube (CNT) fiber. The RGA data show a sharp threshold for H2 desorption at an external field strength that coincides with a breakpoint in the FE data. A comprehensive model for the gradual transition of FE from adsorbate-enhanced CNTs at low bias to FE from CNTs with reduced H2 adsorbate coverage at high bias is developed which accounts for the gradual desorption of the H2 adsorbates, alignment of the CNTs at the fiber tip, and importance of self-heating effects with applied bias., Comment: 18 pages 3 figures
Published: 2013
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6. Rare-earth monosulfides as durable and efficient cold cathodes

Author: Cahay, M., Fairchild, S. B., Grazulis, L., Murray, P. T., Back, T. C., Boolchand, P., Semet, V., Binh, V. T., Wu, X., Poitras, D., Lockwood, D. J., Yu, F., and Kuppa, V.
Subjects: Condensed Matter - Materials Science
Abstract: In their rocksalt structure, rare-earth monosulfides offer a more stable alternative to alkali metals to attain low or negative electron affinity when deposited on various III-V and II-VI semiconductor surfaces. In this article, we first describe the successful deposition of Lanthanum Monosulfide via pulsed laser deposition on Si and MgO substrates and alumina templates. These thin films have been characterized by X-ray diffraction, atomic force microscopy, high resolution transmission electron microscopy, ellipsometry, Raman spectroscopy, ultraviolet photoelectron spectroscopy and Kelvin probe measurements. For both LaS/Si and LaS/MgO thin films, the effective work function of the submicron thick thin films was determined to be about 1 eV from field emission measurements using the Scanning Anode Field Emission Microscopy technique. The physical reasons for these highly desirable low work function properties were explained using a patchwork field emission model of the emitting surface. In this model, nanocrystals of low work function materials having a <100> orientation perpendicular to the surface and outcropping it are surrounded by a matrix of amorphous materials with higher work function. To date, LaS thin films have been used successfully as cold cathode emitters with measured emitted current densities as high as 50 A/cm2. Finally, we describe the successful growth of LaS thin films on InP substrates and, more recently, the production of LaS nanoballs and nanoclusters using Pulsed Laser Ablation., Comment: 61 pages, 24 figures
Published: 2011
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7. The potential of ΛΞ- and ΛΞ- studies with PANDA at FAIR

Author: Barucca, G., Davì, F., Lancioni, G., Mengucci, P., Montalto, L., Natali, P. P., Paone, N., Rinaldi, D., Scalise, L., Erni, W., Krusche, B., Steinacher, M., Walford, N., Cao, N., Liu, Z., Liu, C., Liu, B., Shen, X., Sun, S., Tao, J., Xiong, X. A., Zhao, G., Zhao, J., Albrecht, M., Alkakhi, W., Bökelmann, S., Feldbauer, F., Fink, M., Frech, J., Freudenreich, V., Fritsch, M., Hagdorn, R., Heinsius, F. H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Küßner, M., Li, J., Mustafa, A., Pelizäus, M., Pitka, A., Reher, J., Reicherz, G., Richter, M., Schnier, C., Sohl, L., Steinke, M., Triffterer, T., Wenzel, C., Wiedner, U., Denizli, H., Er, N., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Müllers, J., Rossbach, M., Salisbury, B., Schmidt, C., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Domagala, M., Filo, G., Lisowski, E., Lisowski, F., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Kozela, A., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Fiutowski, T., Idzik, M., Swientek, K., Terlecki, P., Korcyl, G., Lalik, R., Malige, A., Moskal, P., Nowakowski, K., Przygoda, W., Rathod, N., Rudy, Z., Salabura, P., Smyrski, J., Augustin, I., Böhm, R., Lehmann, I., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Heinz, A., Jiang, P., Karabowicz, R., Koch, S., Kurilla, U., Lehmann, D., Lühning, J., Lynen, U., Orth, H., Peters, K., Rieger, J., Saito, T., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Abazov, V., Alexeev, G., Arefiev, V. A., Astakhov, V., Barabanov, M. Yu., Batyunya, B. V., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E. K., Lobanov, Y. Yu., Olshevskiy, A. G., Piskun, A. A., Samartsev, A., Shimanski, S., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N. I., Branford, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Quin, N., Robison, L., Seth, K., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Himmelreich, M., Krebs, M., Nakhoul, S., Nerling, F., Belousov, A., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Lucherini, V., Bracco, G., Bettner, Y., Bodenschatz, S., Brinkmann, K. T., Brück, L., Diehl, S., Dormenev, V., Düren, M., Erlen, T., Föhl, K., Hahn, C., Hayrapetyan, A., Hofmann, J., Kegel, S., Kesselkaul, M., Köseoglu, I., Kripko, A., Kühn, W., Lange, J. S., Metag, V., Moritz, M., Nanova, M., Novotny, R., Orsich, P., Pereira-de-Lira, J., Peter, M., Sachs, M., Schmidt, M., Schubert, R., Stenzel, H., Straube, M., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H. G., Tomasi-Gustafsson, E., Glazier, D., Ireland, D., Seitz, B., Deepak, P. N., Kulkarni, A., Kappert, R., Kavatsyuk, M., Loehner, H., Messchendorp, J., Rodin, V., Schakel, P., Vejdani, S., Dutta, K., Kalita, K., Huang, G., Liu, D., Peng, H., Qi, H., Sun, Y., Zhou, X., Kunze, M., Azizi, K., Derichs, A., Dosdall, R., Esmail, W., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kannika, J., Kulessa, P., Orfanitski, S., Pérez Andrade, G., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Schmitz, R., Scholl, A., Sefzick, T., Serdyuk, V., Stockmanns, T., Veretennikov, D., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Cao, X., Hu, Q., Li, Z., Li, H., Liang, Y., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Aycock, A., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Leithoff, H. H., Liu, Z., Merkel, H., Müller, U., Pochodzalla, J., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmed , S., Bleser, S., Bölting, M., Capozza, L., Dbeyssi, A., Ehret, A., Grasemann, P., Klasen, R., Kliemt, R., Maas, F., Maldaner, S., Morales Morales, C., Motzko, C., Noll, O., Pflüger, S., Rodríguez Piñeiro, D., Schupp, F., Steinen, M., Wolff, S., Zimmermann, I., Fedorov, A., Kazlou, D., Korzhik, M., Missevitch, O., Balashoff, A., Boukharov, A., Malyshev, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Golubev, A., Goryachev, V., Kantsyrev, A., Kirin, D. Y., Kristi, N., Ladygina, E., Luschevskaya, E., Matveev, V. A., Panjushkin, V., Stavinskiy, A. V., Basant, K. N., Kumawat, H., Roy, B., Saxena, A., Yogesh, S., Bonaventura, D., Brand, P., Fritzsch, C., Grieser, S., Hargens, C., Hergemöller, A. K., Hetz, B., Hüsken, N., Kellers, J., Khoukaz, A., Bumrungkoh, D., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Manasatitpong, K., Nasawad, T., Pongampai, S., Simantathammakul, T., Srisawad, P., Wongprachanukul, N., Yan, Y., Yu, C., Zhang, X., Zhu, W., Blinov, A. E., Kononov, S., Kravchenko, E. A., Antokhin, E., Barnyakov, A. Yu., Beloborodov, K., Blinov, V. E., Kuyanov, I. A., Pivovarov, S., Pyata, E., Tikhonov, Y., Kunne, R., Ramstein, B., Hunter, G., Lattery, M., Pace, H., Boca, G., Duda, D., Finger, M., Finger, Jr., M., Kveton, A., Pesek, M., Peskova, M., Prochazka, I., Slunecka, M., Volf, M., Gallus, P., Jary, V., Korchak, O., Marcisovsky, M., Neue, G., Novy, J., Tomasek, L., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Bukreeva, S., Chernichenko, S., Derevschikov, A., Ferapontov, V., Goncharenko, Y., Levin, A., Maslova, E., Melnik, Y., Meschanin, A., Minaev, N., Mochalov, V., Moiseev, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Fedotov, G., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Zhdanov, A., Atac, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P. E., Wölbing, D., Gandhi, K., Rai, A. K., Godre, S., Crede, V., Dobbs, S., Eugenio, P., Lersch, D., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Bussa, M. P., Spataro, S., Iazzi, F., Lavagno, A., Martin, A., Akram, A., Calen, H., Ikegami Andersson, W., Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Regina, J., Schönning, K., Wolke, M., Diaz, J., Pothodi Chackara, V., Chlopik, A., Kesik, G., Melnychuk, D., Tarasiuk, J., Wojciechowski, M., Wronka, S., Zwieglinski, B., Amsler, C., Bühler, P., Kratochwil, N., Marton, J., Nalti, W., Steinschaden, D., Widmann, E., Zimmermann, S., and Zmeskal, J.
Published: 2021
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8. Feasibility studies for the measurement of time-like proton electromagnetic form factors from p¯p→μ+μ-P¯ANDA at p¯p→μ+μ-P¯ANDA at FAIR

Author: Barucca, G., Davì, F., Lancioni, G., Mengucci, P., Montalto, L., Natali, P. P., Paone, N., Rinaldi, D., Scalise, L., Erni, W., Krusche, B., Steinacher, M., Walford, N., Cao, N., Liu, Z., Liu, C., Liu, B., Shen, X., Sun, S., Tao, J., Xiong, X. A., Zhao, G., Zhao, J., Albrecht, M., Alkakhi, W., Bökelmann, S., Coen, S., Feldbauer, F., Fink, M., Frech, J., Freudenreich, V., Fritsch, M., Grochowski, J., Hagdorn, R., Heinsius, F. H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Küßner, M., Li, J., Linzen, L., Maldaner, S., Oppotsch, J., Pankonin, S., Pelizäus, M., Pflüger, S., Pitka, A., Reher, J., Reicherz, G., Schnier, C., Steinke, M., Triffterer, T., Wenzel, C., Wiedner, U., Denizli, H., Er, N., Keskin, U., Olgun, A. T., Yerlikaya, S., Yilmaz, A., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Müllers, J., Rossbach, M., Salisbury, B., Schmidt, C., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Domagala, M., Filo, G., Lisowski, E., Lisowski, F., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Kozela, A., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Firlej, M., Fiutowski, T., Idzik, M., Moron, J., Swientek, K., Terlecki, P., Korcyl, G., Lalik, R., Malige, A., Moskal, P., Nowakowski, K., Przygoda, W., Rathod, N., Rudy, Z., Salabura, P., Smyrski, J., Augustin, I., Böhm, R., Lehmann, I., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Heinz, A., Jiang, P., Karabowicz, R., Koch, S., Kurilla, U., Lehmann, D., Lühning, J., Lynen, U., Orth, H., Peters, K., Saito, T., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Abazov, V., Alexeev, G., Arefiev, V. A., Astakhov, V., Barabanov, M. Yu., Batyunya, B. V., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E. K., Lobanov, Y. Yu., Olshevskiy, A. G., Piskun, A. A., Samartsev, A., Shimanski, S., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N. I., Branford, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Quin, N., Robison, L., Seth, K., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Himmelreich, M., Krebs, M., Nakhoul, S., Nerling, F., Belousov, A., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Lucherini, V., Bracco, G., Bettner, Y., Bodenschatz, S., Brinkmann, K. T., Brück, L., Diehl, S., Dormenev, V., Düren, M., Erlen, T., Föhl, K., Hahn, C., Hayrapetyan, A., Hofmann, J., Kegel, S., Kesselkaul, M., Köseoglu, I., Kripko, A., Kühn, W., Lange, J. S., Metag, V., Moritz, M., Nanova, M., Novotny, R., Orsich, P., Pereira-de-Lira, J., Peter, M., Sachs, M., Schmidt, M., Schubert, R., Stenzel, H., Straube, M., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H. G., Tomasi-Gustafsson, E., Glazier, D., Ireland, D., Seitz, B., Deepak, P. N., Kulkarni, A., Kappert, R., Kavatsyuk, M., Loehner, H., Messchendorp, J., Rodin, V., Schakel, P., Vejdani, S., Dutta, K., Kalita, K., Huang, G., Liu, D., Peng, H., Qi, H., Sun, Y., Zhou, X., Kunze, M., Azizi, K., Tavukoglu, Z., Derichs, A., Dosdall, R., Esmail, W., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kannika, J., Kulessa, P., Orfanitski, S., Pérez Andrade, G., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Schmitz, R., Scholl, A., Sefzick, T., Serdyuk, V., Stockmanns, T., Veretennikov, D., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Cao, X., Hu, Q., Li, Z., Li, H., Liang, Y., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Leithoff, H. H., Liu, Z., Merkel, H., Müller, U., Pochodzalla, J., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmed , S., Bleser, S., Bölting, M., Capozza, L., Dbeyssi, A., Ehret, A., Klasen, R., Kliemt, R., Maas, F., Motzko, C., Noll, O., Piñeiro, D. Rodríguez, Schupp, F., Steinen, M., Wolff, S., Zimmermann, I., Fedorov, A., Kazlou, D., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Golubev, A., Goryachev, V., Kantsyrev, A., Kirin, D. Y., Kristi, N., Ladygina, E., Luschevskaya, E., Matveev, V. A., Panjushkin, V., Stavinskiy, A. V., Balashoff, A., Boukharov, A., Malyshev, O., Basant, K. N., Kumawat, H., Roy, B., Saxena, A., Yogesh, S., Bonaventura, D., Brand, P., Fritzsch, C., Grieser, S., Hargens, C., Hergemöller, A. K., Hetz, B., Hüsken, N., Kellers, J., Khoukaz, A., Mannweiler, C., Vestrick, S., Bumrungkoh, D., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Manasatitpong, K., Nasawad, T., Pongampai, S., Simantathammakul, T., Srisawad, P., Wongprachanukul, N., Yan, Y., Yu, C., Zhang, X., Zhu, W., Blinov, A. E., Kononov, S., Kravchenko, E. A., Antokhin, E., Barnyakov, A. Yu., Beloborodov, K., Blinov, V. E., Kuyanov, I. A., Pivovarov, S., Pyata, E., Tikhonov, Y., Hunter, G., Lattery, M., Pace, H., Boca, G., Duda, D., Finger, M., Finger, Jr., M., Kveton, A., Pesek, M., Peskova, M., Prochazka, I., Slunecka, M., Volf, M., Gallus, P., Jary, V., Korchak, O., Marcisovsky, M., Neue, G., Novy, J., Tomasek, L., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Bukreeva, S., Chernichenko, S., Derevschikov, A., Ferapontov, V., Goncharenko, Y., Levin, A., Maslova, E., Melnik, Y., Meschanin, A., Minaev, N., Mochalov, V., Moiseev, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Fedotov, G., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Zhdanov, A., Atac, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P. E., Wölbing, D., Gandhi, K., Rai, A. K., Godre, S., Crede, V., Dobbs, S., Eugenio, P., Lersch, D., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Bussa, M. P., Spataro, S., Iazzi, F., Lavagno, A., Martin, A., Akram, A., Calen, H., Andersson, W. Ikegami, Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Regina, J., Rieger, J., Schönning, K., Wolke, M., Pothodi Chackara, V., Chlopik, A., Kesik, G., Melnychuk, D., Tarasiuk, J., Wojciechowski, M., Wronka, S., Zwieglinski, B., Amsler, C., Bühler, P., Marton, J., Nalti, W., Steinschaden, D., Widmann, E., Zimmermann, S., and Zmeskal, J.
Published: 2021
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9. Lifetimes of core-excited states in semi-magic 95Rh

Author: Ertoprak, A., Qi, C., Cederwall, B., Doncel, M., Jakobsson, U., Nyakó, B. M., Jaworski, G., Davies, P., de France, G., Kuti, I., Napoli, D. R., Wadsworth, R., Ghugre, S. S., Raut, R., Akkus, B., Al Azri, H., Algora, A., de Angelis, G., Atac, A., Bäck, T., Boso, A., Clément, E., Debenham, D. M., Dombrádi, Zs., Ertürk, S., Gadea, A., Ghazi Moradi, F., Gottardo, A., Hüyük, T., Ideguchi, E., Li, H., Michelagnoli, C., Modamio, V., Nyberg, J., Palacz, M., Petrache, C. M., Recchia, F., Sandzelius, M., Siciliano, M., Sohler, D., Timár, J., Valiente-Dobón, J. J., and Xiao, Z. G.
Published: 2020
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10. Evidence for octupole collectivity in 172Pt

Author: Ertoprak, A., Cederwall, B., Qi, C., Aktas, Ö., Doncel, M., Hadinia, B., Liotta, R., Sandzelius, M., Scholey, C., Andgren, K., Bäck, T., Badran, H., Braunroth, T., Calverley, T., Cox, D. M., Cullen, D. M., Fang, Y. D., Ganioğlu, E., Giles, M., Gomez Hornillos, M. B., Grahn, T., Greenlees, P. T., Hilton, J., Hodge, D., Ideguchi, E., Jakobsson, U., Johnson, A., Jones, P. M., Julin, R., Juutinen, S., Ketelhut, S., Khaplanov, A., Kumar Raju, M., Leino, M., Li, H., Liu, H., Matta, S., Modamio, V., Nara Singh, B. S., Niikura, M., Nyman, M., Özgür, I., Page, R. D., Pakarinen, J., Papadakis, P., Partanen, J., Paul, E. S., Petrache, C. M., Peura, P., Rahkila, P., Ruotsalainen, P., Sarén, J., Sorri, J., Stolze, S., Subramaniam, P., Taylor, M. J., Uusitalo, J., Valiente-Dobón, J. J., and Wyss, R.
Published: 2020
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11. Lifetime measurement of the yrast 2+ state in 118Te.

Author: Cederlöf, E. Ahlgren, Bäck, T., Nyberg, J., Qi, C., Ataç, A., Badran, H., Braunroth, T., Calverley, T., Cox, D. M., Doncel, M., Grahn, T., Greenlees, P., Hilton, J., Julin, R., Juutinen, S., Konki, J., Li, H., Matta, S., Modamio, V., and Singh, B. S. Nara
Subjects: NEUTRON-proton interactions, NEUTRONS, ISOTOPES, PROBABILITY theory, PROTONS
Abstract: The electromagnetic transition probabilities of the yrast 2 + states in the midshell Te isotopes, two protons above the closed shell at Sn, are of great importance for the understanding of nuclear collectivity in these isotopes and the role played by the neutron-proton interactions and cross-shell excitations. However, the large uncertainty of the experimental data for the midshell nucleus 118Te and the missing data for 116Te make it difficult to pin down the general trend of the evolution of transition probabilities as a function of the neutron number. In this work, the lifetime of the yrast 2 + state in 118Te was measured, with the aim of reducing the uncertainty of the previous measurement. The result is τ 2 + = 7.46 (19) ps. In addition, the lifetime of the 4 + state was measured to be τ 4 + = 4.25 (23) ps. The experimental transition rates are extracted from the measured lifetimes and compared with systematic large-scale shell-model calculations. The trend of the B (E2 ; 0 + → 2 +) values in the midshell area is in good agreement with the calculations and the calculated B 4 / 2 ratio provide evidence for 118Te as a near perfect harmonic vibrator. [ABSTRACT FROM AUTHOR]
Published: 2023
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12. Application of quantum-inspired generative models to small molecular datasets

Author: Moussa, C., Wang, H., Araya-Polo, M., Bäck, T., Dunjko, V., Moussa, C., Wang, H., Araya-Polo, M., Bäck, T., and Dunjko, V.
Abstract: Quantum and quantum-inspired machine learning has emerged as a promising and challenging research field due to the increased popularity of quantum computing, especially with near-term devices. Theoretical contributions point toward generative modeling as a promising direction to realize the first examples of real-world quantum advantages from these technologies. A few empirical studies also demonstrate such potential, especially when considering quantum-inspired models based on tensor networks. In this work, we apply tensor-network-based generative models to the problem of molecular discovery. In our approach, we utilize two small molecular datasets: a subset of $4989$ molecules from the QM9 dataset and a small in-house dataset of $516$ validated antioxidants from TotalEnergies. We compare several tensor network models against a generative adversarial network using different sample-based metrics, which reflect their learning performances on each task, and multiobjective performances using $3$ relevant molecular metrics per task. We also combined the output of the models and demonstrate empirically that such a combination can be beneficial, advocating for the unification of classical and quantum(-inspired) generative learning., Comment: First version
Published: 2023
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13. Technical design report for the endcap disc DIRC *

Author: Davì, F, primary, Erni, W, additional, Krusche, B, additional, Steinacher, M, additional, Walford, N, additional, Liu, H, additional, Liu, Z, additional, Liu, B, additional, Shen, X, additional, Wang, C, additional, Zhao, J, additional, Albrecht, M, additional, Erlen, T, additional, Feldbauer, F, additional, Fink, M, additional, Freudenreich, V, additional, Fritsch, M, additional, Heinsius, F H, additional, Held, T, additional, Holtmann, T, additional, Keshk, I, additional, Koch, H, additional, Kopf, B, additional, Kuhlmann, M, additional, Kümmel, M, additional, Leiber, S, additional, Musiol, P, additional, Mustafa, A, additional, Pelizäus, M, additional, Pitka, A, additional, Reicherz, G, additional, Richter, M, additional, Schnier, C, additional, Schröder, T, additional, Sersin, S, additional, Sohl, L, additional, Sowa, C, additional, Steinke, M, additional, Triffterer, T, additional, Wiedner, U, additional, Beck, R, additional, Hammann, C, additional, Hartmann, J, additional, Ketzer, B, additional, Kube, M, additional, Rossbach, M, additional, Schmidt, C, additional, Schmitz, R, additional, Thoma, U, additional, Urban, M, additional, Bianconi, A, additional, Bragadireanu, M, additional, Pantea, D, additional, Czyzycki, W, additional, Domagala, M, additional, Filo, G, additional, Jaworowski, J, additional, Krawczyk, M, additional, Lisowski, E, additional, Lisowski, F, additional, Michałk, M, additional, Płażek, J, additional, Korcyl, K, additional, Kozela, A, additional, Kulessa, P, additional, Lebiedowicz, P, additional, Pysz, K, additional, Schäfer, W, additional, Szczurek, A, additional, Fiutowski, T, additional, Idzik, M, additional, Mindur, B, additional, Swientek, K, additional, Biernat, J, additional, Kamys, B, additional, Kistryn, S, additional, Korcyl, G, additional, Krzemien, W, additional, Magiera, A, additional, Moskal, P, additional, Przygoda, W, additional, Rudy, Z, additional, Salabura, P, additional, Smyrski, J, additional, Strzempek, P, additional, Wronska, A, additional, Augustin, I, additional, Böhm, R, additional, Lehmann, I, additional, Nicmorus Marinescu, D, additional, Schmitt, L, additional, Varentsov, V, additional, Al-Turany, M, additional, Belias, A, additional, Deppe, H, additional, Divani Veis, N, additional, Dzhygadlo, R, additional, Flemming, H, additional, Gerhardt, A, additional, Götzen, K, additional, Karabowicz, R, additional, Kurilla, U, additional, Lehmann, D, additional, Löchner, S, additional, Lühning, J, additional, Lynen, U, additional, Nakhoul, S, additional, Orth, H, additional, Peters, K, additional, Saito, T, additional, Schepers, G, additional, Schmidt, C J, additional, Schwarz, C, additional, Schwiening, J, additional, Täschner, A, additional, Traxler, M, additional, Voss, B, additional, Wieczorek, P, additional, Wilms, A, additional, Abazov, V, additional, Alexeev, G, additional, Arefiev, V A, additional, Astakhov, V, additional, Barabanov, M Yu, additional, Batyunya, B V, additional, Dodokhov, V Kh, additional, Efremov, A, additional, Fechtchenko, A, additional, Galoyan, A, additional, Golovanov, G, additional, Koshurnikov, E K, additional, Lobanov, Y Yu, additional, Lobanov, V I, additional, Malyshev, V, additional, Olshevskiy, A G, additional, Piskun, A A, additional, Samartsev, A, additional, Sapozhnikov, M G, additional, Skachkov, N B, additional, Skachkova, A N, additional, Strokovsky, E A, additional, Tokmenin, V, additional, Uzhinsky, V, additional, Verkheev, A, additional, Vodopianov, A, additional, Zhuravlev, N I, additional, Zinchenko, A, additional, Branford, D, additional, Glazier, D, additional, Watts, D, additional, Böhm, M, additional, Eyrich, W, additional, Lehmann, A, additional, Miehling, D, additional, Pfaffinger, M, additional, Stelter, S, additional, Uhlig, F, additional, Dobbs, S, additional, Seth, K, additional, Tomaradze, A, additional, Xiao, T, additional, Bettoni, D, additional, Ali, A, additional, Hamdi, A, additional, Krebs, M, additional, Nerling, F, additional, Akishina, V, additional, Gorbunov, S, additional, Kisel, I, additional, Kozlov, G, additional, Pugach, M, additional, Zyzak, M, additional, Bianchi, N, additional, Gianotti, P, additional, Guaraldo, C, additional, Lucherini, V, additional, Bracco, G, additional, Bodenschatz, S, additional, Brinkmann, K T, additional, Di Pietro, V, additional, Diehl, S, additional, Dormenev, V, additional, Düren, M, additional, Etzelmüller, E, additional, Föhl, K, additional, Galuska, M, additional, Geßler, T, additional, Gutz, E, additional, Hahn, C, additional, Hayrapetyan, A, additional, Kesselkaul, M, additional, Kühn, W, additional, Kuske, T, additional, Lange, J S, additional, Liang, Y, additional, Merle, O, additional, Metag, V, additional, Moritz, M, additional, Nanova, M, additional, Novotny, R, additional, Quagli, T, additional, Riccardi, A, additional, Rieke, J, additional, Schmidt, M, additional, Schnell, R, additional, Stenzel, H, additional, Strickert, M, additional, Thöring, U, additional, Wasem, T, additional, Wohlfahrt, B, additional, Zaunick, H G, additional, Tomasi-Gustafsson, E, additional, Ireland, D, additional, Rosner, G, additional, Seitz, B, additional, Deepak, P N, additional, Kulkarni, A, additional, Apostolou, A, additional, Babai, M, additional, Kavatsyuk, M, additional, Loehner, H, additional, Messchendorp, J, additional, Schakel, P, additional, Tiemens, M, additional, van der Weele, J C, additional, Vejdani, S, additional, Dutta, K, additional, Kalita, K, additional, Sohlbach, H, additional, Bai, M, additional, Bianchi, L, additional, Büscher, M, additional, Derichs, A, additional, Dosdall, R, additional, Erven, A, additional, Fracassi, V, additional, Gillitzer, A, additional, Goldenbaum, F, additional, Grunwald, D, additional, Jokhovets, L, additional, Kemmerling, G, additional, Kleines, H, additional, Lai, A, additional, Lehrach, A, additional, Mikirtychyants, M, additional, Orfanitski, S, additional, Prasuhn, D, additional, Prencipe, E, additional, Pütz, J, additional, Ritman, J, additional, Rosenthal, E, additional, Schadmand, S, additional, Sefzick, T, additional, Serdyuk, V, additional, Sterzenbach, G, additional, Stockmanns, T, additional, Wintz, P, additional, Wüstner, P, additional, Xu, H, additional, Zhou, Y, additional, Li, Z, additional, Ma, X, additional, Rigato, V, additional, Isaksson, L, additional, Achenbach, P, additional, Aycock, A, additional, Corell, O, additional, Denig, A, additional, Distler, M, additional, Hoek, M, additional, Lauth, W, additional, Merkel, H, additional, Müller, U, additional, Pochodzalla, J, additional, Sanchez, S, additional, Schlimme, S, additional, Sfienti, C, additional, Thiel, M, additional, Zambrana, M, additional, Ahmadi, H, additional, Ahmed, S, additional, Bleser, S, additional, Capozza, L, additional, Cardinali, M, additional, Dbeyssi, A, additional, Ehret, A, additional, Fröhlich, B, additional, Grasemann, P, additional, Haasler, S, additional, Izard, D, additional, Jorge, J, additional, Khaneft, D, additional, Klasen, R, additional, Kliemt, R, additional, Köhler, J, additional, Leithoff, H H, additional, Lin, D, additional, Maas, F, additional, Maldaner, S, additional, Michel, M, additional, Mora Espí, M C, additional, Morales Morales, C, additional, Motzko, C, additional, Noll, O, additional, Pflüger, S, additional, Rodríguez Piñeiro, D, additional, Steinen, M, additional, Walaa, E, additional, Wolff, S, additional, Zimmermann, I, additional, Fedorov, A, additional, Korzhik, M, additional, Missevitch, O, additional, Balanutsa, P, additional, Chernetsky, V, additional, Demekhin, A, additional, Dolgolenko, A, additional, Fedorets, P, additional, Gerasimov, A, additional, Goryachev, V, additional, Kirin, D Y, additional, Matveev, V A, additional, Stavinskiy, A V, additional, Balashoff, A, additional, Boukharov, A, additional, Malyshev, O, additional, Marishev, I, additional, Chandratre, V, additional, Datar, V, additional, Jha, V, additional, Kumawat, H, additional, Mohanty, A K, additional, Parmar, A, additional, Rai, A K, additional, Roy, B, additional, Sonika, G, additional, Fritzsch, C, additional, Grieser, S, additional, Hergemöller, A K, additional, Hetz, B, additional, Hüsken, N, additional, Khoukaz, A, additional, Wessels, J P, additional, Herold, C, additional, Khosonthongkee, K, additional, Kobdaj, C, additional, Limphirat, A, additional, Srisawad, P, additional, Yan, Y, additional, Blinov, A E, additional, Kononov, S, additional, Kravchenko, E A, additional, Antokhin, E, additional, Barnyakov, M, additional, Barnyakov, A Yu, additional, Beloborodov, K, additional, Blinov, V E, additional, Bobrovnikov, V S, additional, Kuyanov, I A, additional, Onuchin, A P, additional, Pivovarov, S, additional, Pyata, E, additional, Serednyakov, S, additional, Tikhonov, Y, additional, Kunne, R, additional, Marchand, D, additional, Ramstein, B, additional, van de Wiele, J, additional, Wang, Y, additional, Boca, G, additional, Burian, V, additional, Finger, M, additional, Nikolovova, A, additional, Pesek, M, additional, Peskova, M, additional, Pfeffer, M, additional, Prochazka, I, additional, Slunecka, M, additional, Gallus, P, additional, Jary, V, additional, Novy, J, additional, Tomasek, M, additional, Virius, M, additional, Vrba, V, additional, Abramov, V, additional, Belikov, N, additional, Bukreeva, S, additional, Davidenko, A, additional, Derevschikov, A, additional, Goncharenko, Y, additional, Grishin, V, additional, Kachanov, V, additional, Kormilitsin, V, additional, Levin, A, additional, Melnik, Y, additional, Minaev, N, additional, Mochalov, V, additional, Morozov, D, additional, Nogach, L, additional, Poslavskiy, S, additional, Ryazantsev, A, additional, Ryzhikov, S, additional, Semenov, P, additional, Shein, I, additional, Uzunian, A, additional, Vasiliev, A, additional, Yakutin, A, additional, Roy, U, additional, Yabsley, B, additional, Belostotski, S, additional, Gavrilov, G, additional, Izotov, A, additional, Manaenkov, S, additional, Miklukho, O, additional, Veretennikov, D, additional, Zhdanov, A, additional, Bäck, T, additional, Cederwall, B, additional, Makonyi, K, additional, Preston, M, additional, Tegner, P E, additional, Wölbing, D, additional, Godre, S, additional, Bussa, M P, additional, Marcello, S, additional, Spataro, S, additional, Iazzi, F, additional, Introzzi, R, additional, Lavagno, A, additional, Calvo, D, additional, De Remigis, P, additional, Filippi, A, additional, Mazza, G, additional, Rivetti, A, additional, Wheadon, R, additional, Martin, A, additional, Calen, H, additional, Ikegami Andersson, W, additional, Johansson, T, additional, Kupsc, A, additional, Marciniewski, P, additional, Papenbrock, M, additional, Pettersson, J, additional, Regina, J, additional, Schönning, K, additional, Wolke, M, additional, Diaz, J, additional, Pothodi Chackara, V, additional, Chlopik, A, additional, Kesik, G, additional, Melnychuk, D, additional, Slowinski, B, additional, Trzcinski, A, additional, Wojciechowski, M, additional, Wronka, S, additional, Zwieglinski, B, additional, Bühler, P, additional, Marton, J, additional, Steinschaden, D, additional, Suzuki, K, additional, Widmann, E, additional, Zimmermann, S, additional, and Zmeskal, J, additional
Published: 2022
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14. Evidence for spherical-oblate shape coexistence in Tc87

Author: Liu, X., primary, Cederwall, B., additional, Qi, C., additional, Wyss, R. A., additional, Aktas, Ö., additional, Ertoprak, A., additional, Zhang, W., additional, Clément, E., additional, de France, G., additional, Ralet, D., additional, Gadea, A., additional, Goasduff, A., additional, Jaworski, G., additional, Kuti, I., additional, Nyakó, B. M., additional, Nyberg, J., additional, Palacz, M., additional, Wadsworth, R., additional, Valiente-Dobón, J. J., additional, Al-Azri, H., additional, Ataç Nyberg, A., additional, Bäck, T., additional, de Angelis, G., additional, Doncel, M., additional, Dudouet, J., additional, Gottardo, A., additional, Jurado, M., additional, Ljungvall, J., additional, Mengoni, D., additional, Napoli, D. R., additional, Petrache, C. M., additional, Sohler, D., additional, Timár, J., additional, Barrientos, D., additional, Bednarczyk, P., additional, Benzoni, G., additional, Birkenbach, B., additional, Boston, A. J., additional, Boston, H. C., additional, Burrows, I., additional, Charles, L., additional, Ciemala, M., additional, Crespi, F. C. L., additional, Cullen, D. M., additional, Désesquelles, P., additional, Domingo-Pardo, C., additional, Eberth, J., additional, Erduran, N., additional, Ertürk, S., additional, González, V., additional, Goupil, J., additional, Hess, H., additional, Huyuk, T., additional, Jungclaus, A., additional, Korten, W., additional, Lemasson, A., additional, Leoni, S., additional, Maj, A., additional, Menegazzo, R., additional, Million, B., additional, Perez-Vidal, R. M., additional, Podolyàk, Zs., additional, Pullia, A., additional, Recchia, F., additional, Reiter, P., additional, Saillant, F., additional, Salsac, M. D., additional, Sanchis, E., additional, Simpson, J., additional, Stezowski, O., additional, Theisen, C., additional, and Zielińska, M., additional
Published: 2022
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15. M1 and E2 transition rates from core-excited states in semi-magic 94Ru

Author: Ertoprak, A., Cederwall, B., Qi, C., Doncel, M., Jakobsson, U., Nyakó, B. M., Jaworski, G., Davies, P., de France, G., Kuti, I., Napoli, D. R., Wadsworth, R., Ghugre, S. S., Raut, R., Akkus, B., Al Azri, H., Algora, A., de Angelis, G., Atac, A., Bäck, T., Boso, A., Clément, E., Debenham, D. M., Dombrádi, Zs., Ertürk, S., Gadea, A., Ghazi Moradi, F., Gottardo, A., Hüyük, T., Ideguchi, E., Li, H., Michelagnoli, C., Modamio, V., Nyberg, J., Palacz, M., Petrache, C. M., Recchia, F., Sandzelius, M., Siciliano, M., Timár, J., Valiente-Dobón, J. J., and Xiao, Z. G.
Published: 2018
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16. Feasibility studies of time-like proton electromagnetic form factors at P ¯ ANDA at FAIR

Author: Singh, B., Erni, W., Krusche, B., Steinacher, M., Walford, N., Liu, B., Liu, H., Liu, Z., Shen, X., Wang, C., Zhao, J., Albrecht, M., Erlen, T., Fink, M., Heinsius, F., Held, T., Holtmann, T., Jasper, S., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Leiber, S., Mikirtychyants, M., Musiol, P., Mustafa, A., Pelizäus, M., Pychy, J., Richter, M., Schnier, C., Schröder, T., Sowa, C., Steinke, M., Triffterer, T., Wiedner, U., Ball, M., Beck, R., Hammann, C., Ketzer, B., Kube, M., Mahlberg, P., Rossbach, M., Schmidt, C., Schmitz, R., Thoma, U., Urban, M., Walther, D., Wendel, C., Wilson, A., Bianconi, A., Bragadireanu, M., Caprini, M., Pantea, D., Patel, B., Czyzycki, W., Domagala, M., Filo, G., Jaworowski, J., Krawczyk, M., Lisowski, F., Lisowski, E., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Kozela, A., Kulessa, P., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Fiutowski, T., Idzik, M., Mindur, B., Przyborowski, D., Swientek, K., Biernat, J., Kamys, B., Kistryn, S., Korcyl, G., Krzemien, W., Magiera, A., Moskal, P., Pyszniak, A., Rudy, Z., Salabura, P., Smyrski, J., Strzempek, P., Wronska, A., Augustin, I., Böhm, R., Lehmann, I., Nicmorus Marinescu, D., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Ehret, A., Flemming, H., Gerhardt, A., Götzen, K., Gromliuk, A., Gruber, L., Karabowicz, R., Kliemt, R., Krebs, M., Kurilla, U., Lehmann, D., Löchner, S., Lühning, J., Lynen, U., Orth, H., Patsyuk, M., Peters, K., Saito, T., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Ugur, C., Voss, B., Wieczorek, P., Wilms, A., Zühlsdorf, M., Abazov, V., Alexeev, G., Arefiev, V. A., Astakhov, V., Barabanov, M. Yu., Batyunya, B. V., Davydov, Y., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Fedunov, A. G., Galoyan, A., Grigoryan, S., Koshurnikov, E. K., Lobanov, Y. Yu., Lobanov, V. I., Makarov, A. F., Malinina, L. V., Malyshev, V., Olshevskiy, A. G., Perevalova, E., Piskun, A. A., Pocheptsov, T., Pontecorvo, G., Rodionov, V., Rogov, Y., Salmin, R., Samartsev, A., Sapozhnikov, M. G., Shabratova, G., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Suleimanov, M., Teshev, R., Tokmenin, V., Uzhinsky, V., Vodopianov, A., Zaporozhets, S. A., Zhuravlev, N. I., Zorin, A. G., Branford, D., Glazier, D., Watts, D., Böhm, M., Britting, A., Eyrich, W., Lehmann, A., Pfaffinger, M., Uhlig, F., Dobbs, S., Seth, K., Tomaradze, A., Xiao, T., Bettoni, D., Carassiti, V., Cotta Ramusino, A., Dalpiaz, P., Drago, A., Fioravanti, E., Garzia, I., Savrie, M., Akishina, V., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Gianotti, P., Guaraldo, C., Lucherini, V., Bersani, A., Bracco, G., Macri, M., Parodi, R. F., Biguenko, K., Brinkmann, K., Di Pietro, V., Diehl, S., Dormenev, V., Drexler, P., Düren, M., Etzelmüller, E., Galuska, M., Gutz, E., Hahn, C., Hayrapetyan, A., Kesselkaul, M., Kühn, W., Kuske, T., Lange, J. S., Liang, Y., Metag, V., Nanova, M., Nazarenko, S., Novotny, R., Quagli, T., Reiter, S., Rieke, J., Rosenbaum, C., Schmidt, M., Schnell, R., Stenzel, H., Thöring, U., Ullrich, M., Wagner, M. N., Wasem, T., Wohlfahrt, B., Zaunick, H., Ireland, D., Rosner, G., Seitz, B., Deepak, P. N., Kulkarni, A., Apostolou, A., Babai, M., Kavatsyuk, M., Lemmens, P. J., Lindemulder, M., Loehner, H., Messchendorp, J., Schakel, P., Smit, H., Tiemens, M., van der Weele, J. C., Veenstra, R., Vejdani, S., Dutta, K., Kalita, K., Kumar, A., Roy, A., Sohlbach, H., Bai, M., Bianchi, L., Büscher, M., Cao, L., Cebulla, A., Dosdall, R., Gillitzer, A., Goldenbaum, F., Grunwald, D., Herten, A., Hu, Q., Kemmerling, G., Kleines, H., Lehrach, A., Nellen, R., Ohm, H., Orfanitski, S., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Schadmand, S., Sefzick, T., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Wintz, P., Wüstner, P., Xu, H., Zambanini, A., Li, S., Li, Z., Sun, Z., Xu, H., Rigato, V., Isaksson, L., Achenbach, P., Corell, O., Denig, A., Distler, M., Hoek, M., Karavdina, A., Lauth, W., Liu, Z., Merkel, H., Müller, U., Pochodzalla, J., Sanchez, S., Schlimme, S., Sfienti, C., Thiel, M., Ahmadi, H., Ahmed, S., Bleser, S., Capozza, L., Cardinali, M., Dbeyssi, A., Deiseroth, M., Feldbauer, F., Fritsch, M., Fröhlich, B., Jasinski, P., Kang, D., Khaneft, D., Klasen, R., Leithoff, H. H., Lin, D., Maas, F., Maldaner, S., Martínez, M., Michel, M., Mora Espí, M. C., Morales Morales, C., Motzko, C., Nerling, F., Noll, O., Pflüger, S., Pitka, A., Rodríguez Piñeiro, D., Sanchez-Lorente, A., Steinen, M., Valente, R., Weber, T., Zambrana, M., Zimmermann, I., Fedorov, A., Korjik, M., Missevitch, O., Boukharov, A., Malyshev, O., Marishev, I., Balanutsa, V., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Goryachev, V., Chandratre, V., Datar, V., Dutta, D., Jha, V., Kumawat, H., Mohanty, A. K., Parmar, A., Roy, B., Sonika, G., Fritzsch, C., Grieser, S., Hergemöller, A., Hetz, B., Hüsken, N., Khoukaz, A., Wessels, J. P., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Srisawad, P., Yan, Y., Barnyakov, M., Barnyakov, A. Yu., Beloborodov, K., Blinov, A. E., Blinov, V. E., Bobrovnikov, V. S., Kononov, S., Kravchenko, E. A., Kuyanov, I. A., Martin, K., Onuchin, A. P., Serednyakov, S., Sokolov, A., Tikhonov, Y., Atomssa, E., Kunne, R., Marchand, D., Ramstein, B., van de Wiele, J., Wang, Y., Boca, G., Costanza, S., Genova, P., Montagna, P., Rotondi, A., Abramov, V., Belikov, N., Bukreeva, S., Davidenko, A., Derevschikov, A., Goncharenko, Y., Grishin, V., Kachanov, V., Kormilitsin, V., Levin, A., Melnik, Y., Minaev, N., Mochalov, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Tomasi-Gustafsson, E., Roy, U., Yabsley, B., Belostotski, S., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Veretennikov, D., Zhdanov, A., Makonyi, K., Preston, M., Tegner, P., Wölbing, D., Bäck, T., Cederwall, B., Rai, A. K., Godre, S., Calvo, D., Coli, S., De Remigis, P., Filippi, A., Giraudo, G., Lusso, S., Mazza, G., Mignone, M., Rivetti, A., Wheadon, R., Balestra, F., Iazzi, F., Introzzi, R., Lavagno, A., Olave, J., Amoroso, A., Bussa, M. P., Busso, L., De Mori, F., Destefanis, M., Fava, L., Ferrero, L., Greco, M., Hu, J., Lavezzi, L., Maggiora, M., Maniscalco, G., Marcello, S., Sosio, S., Spataro, S., Birsa, R., Bradamante, F., Bressan, A., Martin, A., Calen, H., Ikegami Andersson, W., Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Pettersson, J., Schönning, K., Wolke, M., Galnander, B., Diaz, J., Pothodi Chackara, V., Chlopik, A., Kesik, G., Melnychuk, D., Slowinski, B., Trzcinski, A., Wojciechowski, M., Wronka, S., Zwieglinski, B., Bühler, P., Marton, J., Steinschaden, D., Suzuki, K., Widmann, E., Zmeskal, J., and The PANDA Collaboration
Published: 2016
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17. The natural course of lesion development in brain ischemia

Author: Back, T., Schüler, O. G., Baethmann, A., editor, Eriskat, J., editor, Lehmberg, J., editor, and Plesnila, N., editor
Published: 2004
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18. Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

Author: Batina, L, Bäck, T, Buhan, I, Picek, S, Mariot, L, Jakobovic, D, Hernandez-Castro, J, Mariot, Luca, Jakobovic, Domagoj, Bäck, Thomas, Hernandez-Castro, Julio, Batina, L, Bäck, T, Buhan, I, Picek, S, Mariot, L, Jakobovic, D, Hernandez-Castro, J, Mariot, Luca, Jakobovic, Domagoj, Bäck, Thomas, and Hernandez-Castro, Julio
Abstract: This chapter provides a general overview of AI methods used to support the design of cryptographic primitives and protocols. After giving a brief introduction to the basic concepts underlying the field of cryptography, we review the most researched use cases concerning the use of AI techniques and models to design cryptographic primitives, focusing mainly on Boolean functions, S-boxes and pseudorandom number generators. We then point out two interesting directions for further research on the design of cryptographic primitives where AI methods could be applied in the future.
Published: 2022

19. Deep Learning on Side-Channel Analysis

Author: Batina, L., Bäck, T., Buhan, I., Picek, S., Krček, M., Li, H., Paguada, S., Rioja, U., Wu, L., Perin, G., Chmielewski, L.M., Batina, L., Bäck, T., Buhan, I., Picek, S., Krček, M., Li, H., Paguada, S., Rioja, U., Wu, L., Perin, G., and Chmielewski, L.M.
Abstract: Item does not contain fulltext, This chapter provides an overview of recent applications of deep learning to profiled side-channel analysis (SCA). The advent of deep neural networks (mainly multiple layer perceptrons and convolutional neural networks) as a learning algorithm for profiled SCA opened several new directions and possibilities to explore the occurrence of side-channel leakages from different categories of systems. This is particularly important for designers to verify to what extent an adversary can extract sensitive information when possessing state-of-the-art attack methods. Deep learning is a fast-evolving technology that provides several advantages in profiled SCA and we summarize what are the main directions and results obtained by the research community.
Published: 2022

20. Security and Artificial Intelligence: A Crossdisciplinary Approach

Author: Batina, L., Bäck, T., Buhan, I.R., Picek, S., Batina, L., Bäck, T., Buhan, I.R., and Picek, S.
Abstract: Item does not contain fulltext
Published: 2022

21. On Implementation-Level Security of Edge-Based Machine Learning Models

Author: Batina, L., Bäck, T., Buhan, I., Picek, S., Bhasin, S., Breier, J., Hou, X., Jap, D., Batina, L., Bäck, T., Buhan, I., Picek, S., Bhasin, S., Breier, J., Hou, X., and Jap, D.
Abstract: Item does not contain fulltext, In this chapter, we are considering the physical security of Machine Learning (ML) implementations on Edge Devices. We list the state-of-the-art known physical attacks, with the main attack objectives to reverse engineer and misclassify ML models. These attacks have been reported for different target platforms with the usage of both passive and active attacks. The presented works highlight the potential threat of stealing an intellectual property or confidential model trained with private data, and also the possibility to tamper with the device during the execution to cause misclassification. We also discus possible countermeasures to mitigate such attacks.
Published: 2022

22. Anomaly detection in urban drainage with stereovision

Author: Meijer, D.W.J. (Dirk), Luimes, R. (Rianne), Knobbe, A.J. (Arno), Bäck, T. (Thomas), Meijer, D.W.J. (Dirk), Luimes, R. (Rianne), Knobbe, A.J. (Arno), and Bäck, T. (Thomas)
Abstract: This work introduces RADIUS, a framework for anomaly detection in sewer pipes using stereovision. The framework employs three-dimensional geometry reconstruction from stereo vision, followed by statistical modeling of the geometry with a generic pipe model. The framework is designed to be compatible with existing workflows for sewer pipe defect detection, as well as to provide opportunities for machine learning implementations in the future. We test the framework on 48 image sets of 26 sewer pipes in different conditions collected in the lab. Of these 48 image sets, 5 could not be properly reconstructed in three dimensions due to insufficient stereo matching. The surface fitting and anomaly detection performed well: a human-graded defect severity score had a moderate, positive Pearson correlation of 0.65 with our calculated anomaly scores, making this a promising approach to automated defect detection in urban drainage.
Published: 2022
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23. Machine Learning Meets Data Modification: The Potential of Pre-processing for Privacy Enchancement

Author: Batina, L., Bäck, T., Buhan, I., Picek, S., Garofalo, G., Slokom, M., Preuveneers, D., Joosen, W., Larson, M., Batina, L., Bäck, T., Buhan, I., Picek, S., Garofalo, G., Slokom, M., Preuveneers, D., Joosen, W., and Larson, M.
Abstract: Item does not contain fulltext, We explore how data modification can enhance privacy by examining the connection between data modification and machine learning. Specifically, machine learning “meets” data modification in two ways. First, data modification can protect the data that is used to train machine learning models focusing it on the intended use and inhibiting unwanted inference. Second, machine learning can provide new ways of creating modified data. In this chapter, we discuss data modification approaches, applied during data pre-processing, that are suited for online data sharing scenarios. Specifically, we define two scenarios “User data sharing” and “Data set sharing” and describe the threat models associated with each scenario and related privacy threats. We then survey the landscape of privacy-enhancing data modification techniques that can be used to counter these threats. The picture that emerges is that data modification approaches hold promise to enhance privacy, and can be used alongside of conventional cryptographic approaches. We close with an outlook on future directions focusing on new types of data, the relationship among privacy, and the importance of taking an interdisciplinary approach to data modification for privacy enhancement.
Published: 2022

24. Adversarial Machine Learning

Author: Batina, L., Bäck, T., Buhan, I., Picek, S., Hernández-Castro, C.J., Liu, Z., Serban, A.C., Tsingenopoulos, I., Joosen, W., Batina, L., Bäck, T., Buhan, I., Picek, S., Hernández-Castro, C.J., Liu, Z., Serban, A.C., Tsingenopoulos, I., and Joosen, W.
Abstract: Contains fulltext : 250777.pdf (Publisher’s version ) (Closed access), Recent innovations in machine learning enjoy a remarkable rate of adoption across a broad spectrum of applications, including cyber-security. While previous chapters study the application of machine learning solutions to cyber-security, in this chapter we present adversarial machine learning: a field of study concerned with the security of machine learning algorithms when faced with attackers. Likewise, adversarial machine learning enjoys remarkable interest from the community, with a large body of works that either propose attacks against machine learning algorithms, or defenses against adversarial attacks. In particular, adversarial attacks have been mounted in almost all applications of machine learning. Here, we aim to systematize adversarial machine learning, with a pragmatic focus on common computer security applications. Without assuming a strong background in machine learning, we also introduce the basic building blocks and fundamental properties of adversarial machine learning. This study is therefore accessible both to a security audience without in-depth knowledge of machine learning and to a machine learning audience.
Published: 2022

25. Robust subgroup discovery: Discovering subgroup lists using MDL

Author: Proença, H.M. (Hugo), Grünwald, P.D. (Peter), Bäck, T. (Thomas), Leeuwen, M. (Matthijs) van, Proença, H.M. (Hugo), Grünwald, P.D. (Peter), Bäck, T. (Thomas), and Leeuwen, M. (Matthijs) van
Abstract: We introduce the problem of robust subgroup discovery, i.e., finding a set of interpretable descriptions of subsets that 1) stand out with respect to one or more target attributes, 2) are statistically robust, and 3) non-redundant. Many attempts have been made to mine either locally robust subgroups or to tackle the pattern explosion, but we are the first to address both challenges at the same time from a global modelling perspective. First, we formulate the broad model class of subgroup lists, i.e., ordered sets of subgroups, for univariate and multivariate targets that can consist of nominal or numeric variables, including traditional top-1 subgroup discovery in its definition. This novel model class allows us to formalise the problem of optimal robust subgroup discovery using the Minimum Description Length (MDL) principle, where we resort to optimal Normalised Maximum Likelihood and Bayesian encodings for nominal and numeric targets, respectively. Second, finding optimal subgroup lists is NP-hard. Therefore, we propose SSD++, a greedy heuristic that finds good subgroup lists and guarantees that the most significant subgroup found according to the MDL criterion is added in each iteration. In fact, the greedy gain is shown to be equivalent to a Bayesian one-sample proportion, multinomial, or t-test between the subgroup and dataset marginal target distributions plus a multiple hypothesis testing penalty. Furthermore, we empirically show on 54 datasets that SSD++ outperforms previous subgroup discovery methods in terms of quality, generalisation on unseen data, and subgroup list size.
Published: 2022
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26. Experimental access to Transition Distribution Amplitudes with the P̄ANDA experiment at FAIR

Author: Singh, B. P., Erni, W., Keshelashvili, I., Krusche, B., Steinacher, M., Liu, B., Liu, H., Liu, Z., Shen, X., Wang, C., Zhao, J., Albrecht, M., Fink, M., Heinsius, F. H., Held, T., Holtmann, T., Koch, H., Kopf, B., Kümmel, M., Kuhl, G., Kuhlmann, M., Leyhe, M., Mikirtychyants, M., Musiol, P., Mustafa, A., Pelizäus, M., Pychy, J., Richter, M., Schnier, C., Schröder, T., Sowa, C., Steinke, M., Triffterer, T., Wiedner, U., Beck, R., Hammann, C., Kaiser, D., Ketzer, B., Kube, M., Mahlberg, P., Rossbach, M., Schmidt, C., Schmitz, R., Thoma, U., Walther, D., Wendel, C., Wilson, A., Bianconi, A., Bragadireanu, M., Caprini, M., Pantea, D., Pietreanu, D., Vasile, M. E., Patel, B., Kaplan, D., Brandys, P., Czyzewski, T., Czyzycki, W., Domagala, M., Hawryluk, M., Filo, G., Krawczyk, M., Kwiatkowski, D., Lisowski, E., Lisowski, F., Fiutowski, T., Idzik, M., Mindur, B., Przyborowski, D., Swientek, K., Czech, B., Kliczewski, S., Korcyl, K., Kozela, A., Kulessa, P., Lebiedowicz, P., Malgorzata, K., Pysz, K., Schäfer, W., Siudak, R., Szczurek, A., Biernat, J., Jowzaee, S., Kamys, B., Kistryn, S., Korcyl, G., Krzemien, W., Magiera, A., Moskal, P., Palka, M., Psyzniak, A., Rudy, Z., Salabura, P., Smyrski, J., Strzempek, P., Wrońska, A., Augustin, I., Lehmann, I., Nicmorus, D., Schepers, G., Schmitt, L., Al-Turany, M., Cahit, U., Capozza, L., Dbeyssi, A., Deppe, H., Dzhygadlo, R., Ehret, A., Flemming, H., Gerhardt, A., Götzen, K., Karabowicz, R., Kliemt, R., Kunkel, J., Kurilla, U., Lehmann, D., Lühning, J., Maas, F., Morales Morales, C., Mora Espí, M. C., Nerling, F., Orth, H., Peters, K., Rodríguez Piñeiro, D., Saito, N., Saito, T., Sánchez Lorente, A., Schmidt, C. J., Schwarz, C., Schwiening, J., Traxler, M., Valente, R., Voss, B., Wieczorek, P., Wilms, A., Zühlsdorf, M., Abazov, V. M., Alexeev, G., Arefiev, A., Astakhov, V. I., Barabanov, M. Yu., Batyunya, B. V., Davydov, Yu. I., Dodokhov, V. Kh., Efremov, A. A., Fedunov, A. G., Festchenko, A. A., Galoyan, A. S., Grigoryan, S., Karmokov, A., Koshurnikov, E. K., Lobanov, V. I., Lobanov, Yu. Yu., Makarov, A. F., Malinina, L. V., Malyshev, V. L., Mustafaev, G. A., Olshevskiy, A., Pasyuk, M. A., Perevalova, E. A., Piskun, A. A., Pocheptsov, T. A., Pontecorvo, G., Rodionov, V. K., Rogov, Yu. N., Salmin, R. A., Samartsev, A. G., Sapozhnikov, M. G., Shabratova, G. S., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Suleimanov, M. K., Teshev, R. Sh., Tokmenin, V. V., Uzhinsky, V. V., Vodopyanov, A. S., Zaporozhets, S. A., Zhuravlev, N. I., Zorin, A. G., Branford, D., Glazier, D., Watts, D., Woods, P., Britting, A., Eyrich, W., Lehmann, A., Uhlig, F., Dobbs, S., Seth, K., Tomaradze, A., Xiao, T., Bettoni, D., Carassiti, V., Cotta Ramusino, A., Dalpiaz, P., Drago, A., Fioravanti, E., Garzia, I., Savriè, M., Stancari, G., Akishina, V., Kisel, I., Kulakov, I., Zyzak, M., Arora, R., Bel, T., Gromliuk, A., Kalicy, G., Krebs, M., Patsyuk, M., Zuehlsdorf, M., Bianchi, N., Gianotti, P., Guaraldo, C., Lucherini, V., Pace, E., Bersani, A., Bracco, G., Macri, M., Parodi, R. F., Bianco, S., Bremer, D., Brinkmann, K. T., Diehl, S., Dormenev, V., Drexler, P., Düren, M., Eissner, T., Etzelmüller, E., Föhl, K., Galuska, M., Gessler, T., Gutz, E., Hayrapetyan, A., Hu, J., Kröck, B., Kühn, W., Kuske, T., Lange, S., Liang, Y., Merle, O., Metag, V., Mülhheim, D., Münchow, D., Nanova, M., Novotny, R., Pitka, A., Quagli, T., Rieke, J., Rosenbaum, C., Schnell, R., Spruck, B., Stenzel, H., Thöring, U., Ullrich, M., Wasem, T., Werner, M., Zaunick, H. G., Ireland, D., Rosner, G., Seitz, B., Deepak, P. N., Kulkarni, A. V., Apostolou, A., Babai, M., Kavatsyuk, M., Lemmens, P., Lindemulder, M., Löhner, H., Messchendorp, J., Schakel, P., Smit, H., van der Weele, J. C., Tiemens, M., Veenstra, R., Vejdani, S., Kalita, K., Mohanta, D. P., Kumar, A., Roy, A., Sahoo, R., Sohlbach, H., Büscher, M., Cao, L., Cebulla, A., Deermann, D., Dosdall, R., Esch, S., Georgadze, I., Gillitzer, A., Goerres, A., Goldenbaum, F., Grunwald, D., Herten, A., Hu, Q., Kemmerling, G., Kleines, H., Kozlov, V., Lehrach, A., Leiber, S., Maier, R., Nellen, R., Ohm, H., Orfanitski, S., Prasuhn, D., Prencipe, E., Ritman, J., Schadmand, S., Schumann, J., Sefzick, T., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Wintz, P., Wüstner, P., Xu, H., Li, S., Li, Z., Sun, Z., Xu, H., Rigato, V., Fissum, S., Hansen, K., Isaksson, L., Lundin, M., Schröder, B., Achenbach, P., Bleser, S., Cardinali, M., Corell, O., Deiseroth, M., Denig, A., Distler, M., Feldbauer, F., Fritsch, M., Jasinski, P., Hoek, M., Kangh, D., Karavdina, A., Lauth, W., Leithoff, H., Merkel, H., Michel, M., Motzko, C., Müller, U., Noll, O., Plueger, S., Pochodzalla, J., Sanchez, S., Schlimme, S., Sfienti, C., Steinen, M., Thiel, M., Weber, T., Zambrana, M., Dormenev, V. I., Fedorov, A. A., Korzihik, M. V., Missevitch, O. V., Balanutsa, P., Balanutsa, V., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Goryachev, V., Varentsov, V., Boukharov, A., Malyshev, O., Marishev, I., Semenov, A., Konorov, I., Paul, S., Grieser, S., Hergemöller, A. K., Khoukaz, A., Köhler, E., Täschner, A., Wessels, J., Dash, S., Jadhav, M., Kumar, S., Sarin, P., Varma, R., Chandratre, V. B., Datar, V., Dutta, D., Jha, V., Kumawat, H., Mohanty, A. K., Roy, B., Yan, Y., Chinorat, K., Khanchai, K., Ayut, L., Pornrad, S., Barnyakov, A. Y., Blinov, A. E., Blinov, V. E., Bobrovnikov, V. S., Kononov, S. A., Kravchenko, E. A., Kuyanov, I. A., Onuchin, A. P., Sokolov, A. A., Tikhonov, Y. A., Atomssa, E., Hennino, T., Imre, M., Kunne, R., Le Galliard, C., Ma, B., Marchand, D., Ong, S., Ramstein, B., Rosier, P., Tomasi-Gustafsson, E., Van de Wiele, J., Boca, G., Costanza, S., Genova, P., Lavezzi, L., Montagna, P., Rotondi, A., Abramov, V., Belikov, N., Bukreeva, S., Davidenko, A., Derevschikov, A., Goncharenko, Y., Grishin, V., Kachanov, V., Kormilitsin, V., Melnik, Y., Levin, A., Minaev, N., Mochalov, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Yabsley, B., Bäck, T., Cederwall, B., Makónyi, K., Tegnér, P. E., von Würtemberg, K. M., Belostotski, S., Gavrilov, G., Izotov, A., Kashchuk, A., Levitskaya, O., Manaenkov, S., Miklukho, O., Naryshkin, Y., Suvorov, K., Veretennikov, D., Zhadanov, A., Rai, A. K., Godre, S. S., Duchat, R., Amoroso, A., Bussa, M. P., Busso, L., De Mori, F., Destefanis, M., Fava, L., Ferrero, L., Greco, M., Maggiora, M., Maniscalco, G., Marcello, S., Sosio, S., Spataro, S., Zotti, L., Calvo, D., Coli, S., De Remigis, P., Filippi, A., Giraudo, G., Lusso, S., Mazza, G., Mingnore, M., Rivetti, A., Wheadon, R., Balestra, F., Iazzi, F., Introzzi, R., Lavagno, A., Younis, H., Birsa, R., Bradamante, F., Bressan, A., Martin, A., Clement, H., Gålnander, B., Caldeira Balkeståhl, L., Calén, H., Fransson, K., Johansson, T., Kupsc, A., Marciniewski, P., Pettersson, J., Schönning, K., Wolke, M., Zlomanczuk, J., Díaz, J., Ortiz, A., Vinodkumar, P. C., Parmar, A., Chlopik, A., Melnychuk, D., Slowinski, B., Trzcinski, A., Wojciechowski, M., Wronka, S., Zwieglinski, B., Bühler, P., Marton, J., Suzuki, K., Widmann, E., Zmeskal, J., Fröhlich, B., Khaneft, D., Lin, D., Zimmermann, I., Semenov-Tian-Shansky, K., and The P̄ANDA Collaboration
Published: 2015
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27. Adversarial Machine Learning

Author: Hernández-Castro, C.J., Liu, Z., Serban, A.C., Tsingenopoulos, I., Joosen, W., Batina, L., Bäck, T., Buhan, I., and Picek, S.
Abstract: Recent innovations in machine learning enjoy a remarkable rate of adoption across a broad spectrum of applications, including cyber-security. While previous chapters study the application of machine learning solutions to cyber-security, in this chapter we present adversarial machine learning: a field of study concerned with the security of machine learning algorithms when faced with attackers. Likewise, adversarial machine learning enjoys remarkable interest from the community, with a large body of works that either propose attacks against machine learning algorithms, or defenses against adversarial attacks. In particular, adversarial attacks have been mounted in almost all applications of machine learning. Here, we aim to systematize adversarial machine learning, with a pragmatic focus on common computer security applications. Without assuming a strong background in machine learning, we also introduce the basic building blocks and fundamental properties of adversarial machine learning. This study is therefore accessible both to a security audience without in-depth knowledge of machine learning and to a machine learning audience.
Published: 2022

28. Technical design report for the $\overline{P}$ANDA endcap disc DIRC*

Author: Davì, F., Erni, W., Krusche, B., Steinacher, M., Walford, N., Liu, H., Liu, Z., Liu, B., Shen, X., Wang, C., Zhao, J., Albrecht, M., Erlen, T., Feldbauer, F., Fink, M., Freudenreich, V., Fritsch, M., Heinsius, F.H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Leiber, S., Musiol, P., Mustafa, A., Pelizäus, M., Pitka, A., Reicherz, G., Richter, M., Schnier, C., Schröder, T., Sersin, S., Sohl, L., Sowa, C., Steinke, M., Triffterer, T., Wiedner, U., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Kube, M., Rossbach, M., Schmidt, C., Schmitz, R., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Czyzycki, W., Domagala, M., Filo, G., Jaworowski, J., Krawczyk, M., Lisowski, E., Lisowski, F., Michałk, M., Płażek, J., Korcyl, K., Kozela, A., Kulessa, P., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Fiutowski, T., Idzik, M., Mindur, B., Swientek, K., Biernat, Jacek, Kamys, Bogusław, Kistryn, Stanisław, Korcyl, Grzegorz, Krzemień, Wojciech, Magiera, Andrzej, Moskal, Paweł, Przygoda, Witold, Rudy, Zbigniew, Salabura, Piotr, Smyrski, Jerzy, Strzempek, Paweł, Wrońska, Aleksandra, Augustin, I., Böhm, R., Lehmann, I., Nicmorus Marinescu, D., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Divani Veis, N., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Karabowicz, R., Kurilla, U., Lehmann, D., Löchner, S., Lühning, J., Lynen, U., Nakhoul, S., Orth, H., Peters, K., Saito, T., Schepers, G., Schmidt, C.J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Wilms, A., Abazov, V., Alexeev, G., Arefiev, V.A., Astakhov, V., Barabanov, M.Y., Batyunya, B.V., Dodokhov, V.K., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E.K., Lobanov, Y.Y., Lobanov, V.I., Malyshev, V., Olshevskiy, A.G., Piskun, A.A., Samartsev, A., Sapozhnikov, M.G., Skachkov, N.B., Skachkova, A.N., Strokovsky, E.A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N.I., Zinchenko, A., Branford, D., Glazier, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Stelter, S., Uhlig, F., Dobbs, S., Seth, K., Tomaradze, A., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Krebs, M., Nerling, F., Akishina, V., Gorbunov, S., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Guaraldo, C., Lucherini, V., Bracco, G., Bodenschatz, S., Brinkmann, K.T., Di Pietro, V., Diehl, S., Dormenev, V., Düren, M., Etzelmüller, E., Föhl, K., Galuska, M., Geßler, T., Gutz, E., Hahn, C., Hayrapetyan, A., Kesselkaul, M., Kühn, W., Kuske, T., Lange, J.S., Liang, Y., Merle, O., Metag, V., Moritz, M., Nanova, M., Novotny, R., Quagli, T., Riccardi, A., Rieke, J., Schmidt, M., Schnell, R., Stenzel, H., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H.G., Tomasi-Gustafsson, E., Ireland, D., Rosner, G., Seitz, B., Deepak, P.N., Kulkarni, A., Apostolou, A., Babai, M., Kavatsyuk, M., Loehner, H., Messchendorp, J., Schakel, P., Tiemens, M., van der Weele, J.C., Vejdani, S., Dutta, K., Kalita, K., Sohlbach, H., Bai, M., Bianchi, L., Büscher, M., Derichs, A., Dosdall, R., Erven, A., Fracassi, V., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kemmerling, G., Kleines, H., Lai, A., Lehrach, A., Mikirtychyants, M., Orfanitski, S., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Sefzick, T., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Li, Z., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Aycock, A., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Merkel, H., Müller, U., Pochodzalla, J., Sanchez, S., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmadi, H., Ahmed, S., Bleser, S., Capozza, L., Cardinali, M., Dbeyssi, A., Ehret, A., Fröhlich, B., Grasemann, P., Haasler, S., Izard, D., Jorge, J., Khaneft, D., Klasen, R., Kliemt, R., Köhler, J., Leithoff, H.H., Lin, D., Maas, F., Maldaner, S., Michel, M., Mora Espí, M.C., Morales Morales, C., Motzko, C., Noll, O., Pflüger, S., Rodríguez Piñeiro, D., Steinen, M., Walaa, E., Wolff, S., Zimmermann, I., Fedorov, A., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Goryachev, V., Kirin, D.Y., Matveev, V.A., Stavinskiy, A.V., Balashoff, A., Boukharov, A., Malyshev, O., Marishev, I., Chandratre, V., Datar, V., Jha, V., Kumawat, H., Mohanty, A.K., Parmar, A., Rai, A.K., Roy, B., Sonika, G., Fritzsch, C., Grieser, S., Hergemöller, A.K., Hetz, B., Hüsken, N., Khoukaz, A., Wessels, J.P., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Srisawad, P., Yan, Y., Blinov, A.E., Kononov, S., Kravchenko, E.A., Antokhin, E., Barnyakov, M., Barnyakov, A.Y., Beloborodov, K., Blinov, V.E., Bobrovnikov, V.S., Kuyanov, I.A., Onuchin, A.P., Pivovarov, S., Pyata, E., Serednyakov, S., Tikhonov, Y., Kunne, R., Marchand, D., Ramstein, B., van de Wiele, J., Wang, Y., Boca, G., Burian, V., Finger, M., Nikolovova, A., Pesek, M., Peskova, M., Pfeffer, M., Prochazka, I., Slunecka, M., Gallus, P., Jary, V., Novy, J., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Belikov, N., Bukreeva, S., Davidenko, A., Derevschikov, A., Goncharenko, Y., Grishin, V., Kachanov, V., Kormilitsin, V., Levin, A., Melnik, Y., Minaev, N., Mochalov, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Veretennikov, D., Zhdanov, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P.E., Wölbing, D., Godre, S., Bussa, M.P., Marcello, S., Spataro, S., Iazzi, F., Introzzi, R., Lavagno, A., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Martin, A., Calen, H., Ikegami Andersson, W., Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Pettersson, J., Regina, J., Schönning, K., Wolke, M., Diaz, J., Pothodi Chackara, V., Chlopik, A., Kesik, G., Melnychuk, D., Slowinski, B., Trzcinski, A., Wojciechowski, M., Wronka, S., Zwieglinski, B., Bühler, P., Marton, J., Steinschaden, D., Suzuki, K., Widmann, E., Zimmermann, S., and Zmeskal, J.
Subjects: PANDA, technical design report, particle identification, Cherenkov detector
Published: 2022

29. Machine Learning Meets Data Modification: The Potential of Pre-processing for Privacy Enchancement

Author: Garofalo, G., Slokom, M., Preuveneers, D., Joosen, W., Larson, M., Batina, L., Bäck, T., Buhan, I., and Picek, S.
Subjects: Lecture notes in computer science
Abstract: We explore how data modification can enhance privacy by examining the connection between data modification and machine learning. Specifically, machine learning “meets” data modification in two ways. First, data modification can protect the data that is used to train machine learning models focusing it on the intended use and inhibiting unwanted inference. Second, machine learning can provide new ways of creating modified data. In this chapter, we discuss data modification approaches, applied during data pre-processing, that are suited for online data sharing scenarios. Specifically, we define two scenarios “User data sharing” and “Data set sharing” and describe the threat models associated with each scenario and related privacy threats. We then survey the landscape of privacy-enhancing data modification techniques that can be used to counter these threats. The picture that emerges is that data modification approaches hold promise to enhance privacy, and can be used alongside of conventional cryptographic approaches. We close with an outlook on future directions focusing on new types of data, the relationship among privacy, and the importance of taking an interdisciplinary approach to data modification for privacy enhancement.
Published: 2022

30. Evidence for spherical-oblate shape coexistence in $^{87}\mathrm{Tc}$

Author: Liu, X, Cederwall, B, Qi, C, Wyss, R A, Aktas, Ö, Ertoprak, A, Zhang, W, Clément, E, de France, G, Ralet, D, Gadea, A, Goasduff, A, Jaworski, G, Kuti, I, Nyakó, B M, Nyberg, J, Palacz, M, Wadsworth, R, Valiente-Dobón, J J, Al-Azri, H, Nyberg, A Ataç, Bäck, T, de Angelis, G, Doncel, M, Dudouet, J, Gottardo, A, Jurado, M, Ljungvall, J, Mengoni, D, Napoli, D R, Petrache, C M, Sohler, D, Timár, J, Barrientos, D, Bednarczyk, P, Benzoni, G, Birkenbach, B, Boston, A J, Boston, H C, Burrows, I, Charles, L, Ciemala, M, Crespi, F C L, Cullen, D M, Désesquelles, P, Domingo-Pardo, C, Eberth, J, Erduran, N, Ertürk, S, González, V, Goupil, J, Hess, H, Huyuk, T, Jungclaus, A, Korten, W, Lemasson, A, Leoni, S, Maj, A, Menegazzo, R, Million, B, Perez-Vidal, R M, Podolyàk, Zs, Pullia, A, Recchia, F, Reiter, P, Saillant, F, Salsac, M D, Sanchis, E, Simpson, J, Stezowski, O, Theisen, C, Zielinska, M, Grand Accélérateur National d'Ions Lourds (GANIL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: Nuclear Physics - Experiment, [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
Abstract: International audience; Excited states in the neutron-deficient nucleus $^{87}$Tc have been studied via the fusion-evaporation reaction $^{54}$Fe($^{36}$Ar, 2$n$1p) $^{87}$Tc at 115 MeV beam energy. The AGATA γ -ray spectrometer coupled to the DIAMANT, NEDA, and Neutron Wall detector arrays for light-particle detection was used to measure the prompt coincidence of $\gamma$ rays and light particles. Six transitions from the deexcitation of excited states belonging to a new band in $^{87}$Tc were identified by comparing $\gamma$-ray intensities in the spectra gated under different reaction channel selection conditions. The constructed level structure was compared with the shell model and total Routhian surface calculations. The results indicate that the new band structure in $^{87}$Tc is built on a spherical configuration, which is different from that assigned to the previously identified oblate yrast rotational band.
Published: 2022

31. Deep Learning on Side-Channel Analysis

Author: Krček, M., Li, H., Paguada, S., Rioja, U., Wu, L., Perin, G., Chmielewski, L.M., Batina, L., Bäck, T., Buhan, I., and Picek, S.
Abstract: This chapter provides an overview of recent applications of deep learning to profiled side-channel analysis (SCA). The advent of deep neural networks (mainly multiple layer perceptrons and convolutional neural networks) as a learning algorithm for profiled SCA opened several new directions and possibilities to explore the occurrence of side-channel leakages from different categories of systems. This is particularly important for designers to verify to what extent an adversary can extract sensitive information when possessing state-of-the-art attack methods. Deep learning is a fast-evolving technology that provides several advantages in profiled SCA and we summarize what are the main directions and results obtained by the research community.
Published: 2022

32. Three-Dimensional Metabolic and Hemodynamic Imaging of the Normal and Ischemic Rat Brain

Author: Ginsberg, Myron D., Back, T., Zhao, W., Baethmann, Alexander, editor, Kempski, Oliver S., editor, Plesnila, Nikolaus, editor, and Staub, Frank, editor
Published: 1996
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33. Diagnostic accuracy of ultrasound for rotator cuff tears in adults: A systematic review and meta-analysis

Author: Smith, T.O., Back, T., Toms, A.P., and Hing, C.B.
Published: 2011
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34. Signature splitting of the g7/2[404]7/2+ bands in Ba131 and Ce133

Author: Ding, B., primary, Petrache, C. M., additional, Guo, S., additional, Lawrie, E. A., additional, Wakudyanaye, I., additional, Zhang, Z. H., additional, Wang, H. L., additional, Meng, H. Y., additional, Mengoni, D., additional, Qiang, Y. H., additional, Wang, J. G., additional, Andreoiu, C., additional, Astier, A., additional, Avaa, A., additional, Bäck, T., additional, Bark, R. A., additional, Bazzacco, D., additional, Boso, A., additional, Bucher, T. D., additional, Cederwall, B., additional, Chisapi, M. V., additional, Fan, H. L., additional, Galtarossa, F., additional, Garcia, F. H., additional, Goasduff, A., additional, Jaworski, G., additional, Jones, P., additional, Kuti, I., additional, Lawrie, J. J., additional, Li, G. S., additional, Li, R., additional, Liu, M. L., additional, Liu, Z., additional, Lomberg, B., additional, Lv, B. F., additional, Marchlewski, T., additional, Mdletshe, L., additional, Msebi, L., additional, Mthembu, S. H., additional, Napoli, D. R., additional, Netshiya, A., additional, Nkalanga, M. F., additional, Orce, J. N., additional, Ortner, K., additional, Recchia, F., additional, Riccetto, S., additional, Rohilla, A., additional, Seakamela, T. W., additional, Siciliano, M., additional, Sithole, M. A., additional, Sohler, D., additional, Srebrny, J., additional, Testov, D., additional, Tucholski, A., additional, Valiente-Dobón, J. J., additional, Wentzel, F., additional, Whitmore, K., additional, Zhang, Y. H., additional, Zheng, K. K., additional, Zhou, X. H., additional, and Zikhali, B. R., additional
Published: 2021
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35. Identification of excited states in Te5552107

Author: Zhang, W., primary, Cederwall, B., additional, Qi, C., additional, Ertoprak, A., additional, Aktas, Ö., additional, Liu, X., additional, Andgren, K., additional, Auranen, K., additional, Bäck, T., additional, Barber, L., additional, Beeton, G., additional, Cullen, D. M., additional, Darby, I. G., additional, Dimmock, M. R., additional, Eeckhaudt, S., additional, Ganioğlu, E., additional, Górska, M., additional, Grahn, T., additional, Greenlees, P. T., additional, Hadinia, B., additional, Ideguchi, E., additional, Illana, A., additional, Jones, P. M., additional, Joss, D. T., additional, Julin, R., additional, Juutinen, S., additional, Keatings, J. M., additional, Khaplanov, A., additional, Kulali, F., additional, Leino, M., additional, Luoma, M., additional, Lv, B., additional, Nara Singh, B. S., additional, Nelson, L., additional, Niikura, M., additional, Nyman, M., additional, Ojala, J., additional, Page, R. D., additional, Pakarinen, J., additional, Paul, E. S., additional, Petrache, C., additional, Petri, M., additional, Rahkila, P., additional, Ruotsalainen, P., additional, Sandzelius, M., additional, Sarén, J., additional, Scholey, C., additional, Smith, J. F., additional, Sorri, J., additional, Tann, H., additional, Zimba, G., additional, Uusitalo, J., additional, Wadsworth, R., additional, and Wyss, R., additional
Published: 2021
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36. Evidence for enhanced neutron-proton correlations from the level structure of the $N=Z+1$ nucleus $_{43}^{87}\mathrm{Tc}_{44}$

Author: Liu, X., Cederwall, B., Qi, C., Wyss, R.A., Aktas, Ö., Ertoprak, A., Zhang, W., Clément, E., De France, G., Ralet, D., Gadea, A., Goasduff, A., Jaworski, G., Kuti, I., Nyakó, B.M., Nyberg, J., Palacz, M., Wadsworth, R., Valiente-Dobón, J.J., Al-Azri, H., Ataç Nyberg, A., Bäck, T., De Angelis, G., Doncel, M., Dudouet, J., Gottardo, A., Jurado, M., Ljungvall, J., Mengoni, D., Napoli, D.R., Petrache, C.M., Sohler, D., Timár, J., Barrientos, D., Bednarczyk, P., Benzoni, G., Birkenbach, B., Boston, A.J., Boston, H.C., Burrows, I., Charles, L., Ciemala, M., Crespi, F.C.L., Cullen, D.M., Désesquelles, P., Domingo-Pardo, C., Eberth, J., Erduran, N., Ertürk, S., González, V., Goupil, J., Hess, H., Huyuk, T., Jungclaus, A., Korten, W., Lemasson, A., Leoni, S., Maj, A., Menegazzo, R., Million, B., Perez-Vidal, R.M., Podolyàk, Zs., Pullia, A., Recchia, F., Reiter, P., Saillant, F., Salsac, M.D., Sanchis, E., Simpson, J., Stezowski, O., Theisen, C., Zielińska, M., Grand Accélérateur National d'Ions Lourds (GANIL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Nuclear Physics - Experiment, [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
Abstract: The low-lying excited states in the neutron-deficient $N = Z + 1$ nucleus $^{87}_{43}$Tc$_{44}$ have been studied via the fusion-evaporation reaction $^{54}$Fe $(^{36}Ar, 2n1p)$ $^{87}$Tc at the Grand Accélérateur National d'Ions Lourds (GANIL), France. The AGATA spectrometer was used in conjunction with the auxiliary NEDA, Neutron Wall, and DIAMANT detector arrays to measure coincident prompt γ rays, neutrons, and charged particles emitted in the reaction. A level scheme of $^{87}$Tc from the $(9/2^+_{g.s})$ state to the $( 33 / 2^+_1$) state was established based on six mutually coincident γ -ray transitions. The constructed level structure exhibits a rotational behavior with a sharp backbending at $ℏω ≈ 0.50$ MeV. A decrease in alignment frequency and increase in alignment sharpness in the odd-mass isotonic chains around $N=44$ is proposed as an effect of the enhanced isoscalar neutron-proton interactions in odd-mass nuclei when approaching the $N=Z$ line. The low-lying excited states in the neutron-deficient $N=Z+1$ nucleus $^{87}_{43}$Tc$^{\ }_{44}$ have been studied via the fusion-evaporation reaction $^{54}$Fe($^{36}$Ar, $2n1p$)$^{87}$Tc at the Grand Accélérateur National d'Ions Lourds (GANIL), France. The AGATA spectrometer was used in conjunction with the auxiliary NEDA, Neutron Wall, and DIAMANT detector arrays to measure coincident prompt $\gamma$-rays, neutrons, and charged particles emitted in the reaction. A level scheme of $^{87}$Tc from the (9/2$^{+}_{g.s.}$) state to the (33/2$^{+}_{1}$) state was established based on 6 mutually coincident $\gamma$-ray transitions. The constructed level structure exhibits a rotational behavior with a sharp backbending at $\hbar\omega\approx 0.50$ MeV. A decrease in alignment frequency and increase in alignment sharpness in the odd-mass isotonic chains around $N=44$ is proposed as an effect of the enhanced isoscalar neutron-proton interactions in odd-mass nuclei when approaching the $N=Z$ line.
Published: 2021

37. Carbon Dioxide and Oxygen Reactivity in Cerebral Circulation

Author: Von Kummer, R., Back, T., Schmiedek, Peter, editor, Einhäupl, Karl, editor, and Kirsch, Carl-Martin, editor
Published: 1992
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38. Murine Renal Cancer (Renca) Model: Background and Preclinical Studies

Author: Wiltrout, R. H., Hornung, R. L., Futami, H., Back, T. T., Young, H. A., Sayers, T. J., Debruyne, Frans M. J., editor, Bukowski, Ronald M., editor, Pontes, J. Edson, editor, and de Mulder, Pieter H. M., editor
Published: 1991
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39. Evidence for enhanced neutron-proton correlations from the level structure of the N=Z+1 nucleus 87Tc

Author: Liu, X., Cederwall, B., Qi, C., Wyss, R. A., Aktas, Ertoprak, A., Zhang, W., Clément, E., De France, G., Ralet, D., Gadea, A., Goasduff, A., Jaworski, G., Kuti, I., Nyakó, B. M., Nyberg, J., Palacz, M., Wadsworth, R., Valiente-Dobón, J. J., Al-Azri, H., Ataç Nyberg, A., Bäck, T., De Angelis, G., Doncel, M., Dudouet, J., Gottardo, A., Jurado, M., Ljungvall, J., Mengoni, D., Napoli, D. R., Petrache, C. M., Sohler, D., Timár, J., Barrientos, D., Bednarczyk, P., Benzoni, G., Birkenbach, B., Boston, A. J., Boston, H. C., Burrows, I., Charles, L., Ciemala, M., Crespi, F. C.L., Cullen, D. M., Désesquelles, P., Domingo-Pardo, C., Eberth, J., Erduran, N., Ertürk, S., González, V., Goupil, J., Hess, H., Huyuk, T., Jungclaus, A., Korten, W., Lemasson, A., Leoni, S., Maj, A., Menegazzo, R., Million, B., Perez-Vidal, R. M., Podolyàk, Zs, Pullia, A., Recchia, F., Reiter, P., Saillant, F., Salsac, M. D., Sanchis, E., Simpson, J., Stezowski, O., Theisen, C., and Zielińska, M.
Subjects: Astrophysics::High Energy Astrophysical Phenomena, Nuclear Theory, Nuclear Experiment
Abstract: The low-lying excited states in the neutron-deficient N=Z+1 nucleus Tc444387 have been studied via the fusion-evaporation reaction Fe54(Ar36, 2n1p)Tc87 at the Grand Accélérateur National d'Ions Lourds (GANIL), France. The AGATA spectrometer was used in conjunction with the auxiliary NEDA, Neutron Wall, and DIAMANT detector arrays to measure coincident prompt γ rays, neutrons, and charged particles emitted in the reaction. A level scheme of Tc87 from the (9/2g.s.+) state to the (33/21+) state was established based on six mutually coincident γ-ray transitions. The constructed level structure exhibits a rotational behavior with a sharp backbending at ω≈0.50 MeV. A decrease in alignment frequency and increase in alignment sharpness in the odd-mass isotonic chains around N=44 is proposed as an effect of the enhanced isoscalar neutron-proton interactions in odd-mass nuclei when approaching the N=Z line.
Published: 2021

40. Does Feedback Regulation Exist in Chronic Pancreatitis?

Author: Mössner, J., Wresky, H. P., Back, T., Beger, H. G., editor, Büchler, M., editor, Ditschuneit, H., editor, and Malfertheiner, P., editor
Published: 1990
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41. Technical design report for the $\overline{P}$ANDA (AntiProton Annihilations at Darmstadt) Straw Tube Tracker: Strong interaction studies with antiprotons

Author: Erni, W., Keshelashvili, I., Krusche, B., Steinacher, M., Heng, Y., Liu, Z., Liu, H., Shen, X., Wang, Q., Xu, H., Aab, A., Albrecht, M., Becker, J., Csapó, A., Feldbauer, F., Fink, M., Friedel, P., Heinsius, F. H., Held, T., Klask, L., Koch, H., Kopf, B., Leiber, S., Leyhe, M., Motzko, C., Pelizäus, M., Pychy, J., Roth, B., Schröder, T., Schulze, J., Sowa, C., Steinke, M., Trifterer, T., Wiedner, U., Zhong, J., Beck, R., Bianco, S., Brinkmann, K. T., Hammann, C., Hinterberger, F., Kaiser, D., Kliemt, R., Kube, M., Pitka, A., Quagli, T., Schmidt, C., Schmitz, R., Schnell, R., Thoma, U., Vlasov, P., Walther, D., Wendel, C., Würschig, T., Zaunick, H. G., Bianconi, A., Bragadireanu, M., Caprini, M., Pantea, D., Pantelica, D., Pietreanu, D., Serbina, L., Tarta, P. D., Kaplan, D., Fiutowski, T., Idzik, M., Mindur, B., Przyborowski, D., Swientek, K., Czech, B., Kistryn, M., Kliczewski, S., Kozela, A., Kulessa, P., Lebiedowicz, P., Pysz, K., Schäfer, W., Siudak, R., Szczurek, A., Jowzaee, S., Kajetanowicz, M., Kamys, B., Kistryn, S., Korcyl, G., Korcyl, K., Krzemien, W., Magiera, A., Moskal, P., Palka, M., Rudy, Z., Salabura, P., Smyrski, J., Wrońska, A., Augustin, I., Lehmann, I., Nimorus, D., Schepers, G., Al-Turany, M., Arora, R., Deppe, H., Flemming, H., Gerhardt, A., Götzen, K., Jordi, A. F., Kalicy, G., Karabowicz, R., Lehmann, D., Lewandowski, B., Lühning, J., Maas, F., Orth, H., Patsyuk, M., Peters, K., Saito, T., Schepers, G., Schmidt, C. J., Schmitt, L., Schwarz, C., Schwiening, J., Traxler, M., Voss, B., Wieczorek, P., Wilms, A., Zühlsdorf, M., Abazov, V. M., Alexeev, G., Arefiev, A., Astakhov, V. I., Barabanov, M. Yu., Batyunya, B. V., Davydov, Yu. I., Dodokhov, V. Kh., Efremov, A. A., Fedunov, A. G., Festchenko, A. A., Galoyan, A. S., Grigoryan, S., Karmokov, A., Koshurnikov, E. K., Lobanov, V. I., Lobanov, Yu. Yu., Makarov, A. F., Malinina, L. V., Malyshev, V. L., Mustafaev, G. A., Olshevskiy, A., Pasyuk, M. A., Perevalova, E. A., Piskun, A. A., Pocheptsov, T. A., Pontecorvo, G., Rodionov, V. K., Rogov, Yu. N., Salmin, R. A., Samartsev, A. G., Sapozhnikov, M. G., Shabratova, G. S., Skachkova, A. N., Skachkov, N. B., Strokovsky, E. A., Suleimanov, M. K., Teshev, R. Sh., Tokmenin, V. V., Uzhinsky, V. V., Vodopyanov, A. S., Zaporozhets, S. A., Zhuravlev, N. I., Zorin, A. G., Branford, D., Glazier, D., Watts, D., Woods, P., Britting, A., Eyrich, W., Lehmann, A., Uhlig, F., Dobbs, S., Metreveli, Z., Seth, K., Tomaradze, A., Xiao, T., Bettoni, D., Carassiti, V., Cotta Ramusino, A., Dalpiaz, P., Drago, A., Fioravanti, E., Garzia, I., Savriè, M., Stancari, G., Bianchi, N., Gianotti, P., Guaraldo, C., Lucherini, V., Orecchini, D., Pace, E., Bersani, A., Bracco, G., Macri, M., Parodi, R. F., Bremer, D., Dormenev, V., Drexler, P., Düren, M., Eissner, T., Föhl, K., Galuska, M., Gessler, T., Hayrapetyan, A., Hu, J., Koch, P., Kröck, B., Kühn, W., Lange, S., Liang, Y., Merle, O., Metag, V., Moritz, M., Münchow, D., Nanova, M., Novotny, R., Spruck, B., Stenzel, H., Ullrich, T., Werner, M., Xu, H., Euan, C., Hoek, M., Ireland, D., Keri, T., Montgomery, R., Protopopescu, D., Rosner, G., Seitz, B., Babai, M., Glazenborg-Kluttig, A., Kavatsyuk, M., Lemmens, P., Lindemulder, M., Löhner, H., Messchendorp, J., Moeini, H., Schakel, P., Schreuder, F., Smit, H., Tambave, G., van der Weele, J. C., Veenstra, R., Sohlbach, H., Büscher, M., Deermann, D., Dosdall, R., Esch, S., Gillitzer, A., Goldenbaum, F., Grunwald, D., Henssler, S., Herten, A., Hu, Q., Kemmerling, G., Kleines, H., Kozlov, V., Lehrach, A., Maier, R., Mertens, M., Ohm, H., Orfanitski, S., Prasuhn, D., Randriamalala, T., Ritman, J., Röder, M., Schadmand, S., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Wintz, P., Wüstner, P., Xu, H., Kisiel, J., Li, S., Li, Z., Sun, Z., Xu, H., Rigato, V., Fissum, S., Hansen, K., Isaksson, L., Lundin, M., Schröder, B., Achenbach, P., Bleser, S., Cahit, U., Cardinali, M., Denig, A., Distler, M., Fritsch, M., Jasinski, P., Kangh, D., Karavdina, A., Lauth, W., Merkel, H., Michel, M., Mora Espi, M. C., Müller, U., Pochodzalla, J., Sanchez, S., Sanchez-Lorente, A., Schlimme, S., Sfienti, C., Thiel, M., Weber, T., Dormenev, V. I., Fedorov, A. A., Korzhik, M. V., Missevitch, O. V., Balanutsa, V., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Goryachev, V., Varentsov, V., Boukharov, A., Malyshev, O., Marishev, I., Semenov, A., Böhmer, F., Dørheim, S., Ketzer, B., Paul, S., Hergemöller, A. K., Khoukaz, A., Köhler, E., Täschner, A., Wessels, J., Varma, R., Chaterjee, A., Jha, V., Kailas, S., Roy, B. J., Yan, Y., Chinorat, K., Khanchai, K., Ayut, L., Pomrad, S., Baldin, E., Kotov, K., Peleganchuk, S., Tikhonov, Yu., Boucher, J., Chambert, V., Dbeyssi, A., Gumberidze, M., Hennino, T., Imre, M., Kunne, R., Le Galliard, C., Ma, B., Marchand, D., Maroni, A., Ong, S., Ramstein, B., Rosier, P., Tomasi-Gustafsson, E., Van de Wiele, J., Boca, G., Braghieri, A., Costanza, S., Genova, P., Lavezzi, L., Montagna, P., Rotondi, A., Abramov, V., Belikov, N., Davidenko, A., Derevschikov, A., Goncharenko, Y., Grishin, V., Kachanov, V., Konstantinov, D., Kormilitsin, V., Melnik, Y., Levin, A., Minaev, N., Mochalov, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Bäck, T., Cederwall, B., Makónyi, K., Tegnér, P. E., von Würtemberg, K. M., Belostotski, S., Gavrilov, G., Itzotov, A., Kashchuk, A., Kisselev, A., Kravchenko, P., Levitskaya, O., Manaenkov, S., Miklukho, O., Naryshkin, Y., Veretennikov, D., Vikhrov, V., Zhadanov, A., Alberto, D., Amoroso, A., Bussa, M. P., Busso, L., De Mori, F., Destefanis, M., Fava, L., Ferrero, L., Greco, M., Maggiora, M., Marcello, S., Sosio, S., Spataro, S., Zotti, L., Calvo, D., Coli, S., De Remigis, P., Filippi, A., Giraudo, G., Lusso, S., Mazza, G., Morra, O., Rivetti, A., Wheadon, R., Iazzi, F., Lavagno, A., Younis, H., Birsa, R., Bradamante, F., Bressan, A., Martin, A., Clement, H., Galander, B., Caldeira Balkeståhl, L., Calén, H., Fransson, K., Johansson, T., Kupsc, A., Marciniewski, P., Thomé, E., Wolke, M., Zlomanczuk, J., Díaz, J., Ortiz, A., Dmowski, K., Duda, P., Korzeniewski, R., Slowinski, B., Chlopik, A., Guzik, Z., Kosinski, K., Melnychuk, D., Wasilewski, A., Wojciechowski, M., Wronka, S., Wysocka, A., Zwieglinski, B., Bühler, P., Hartman, O. N., Kienle, P., Marton, J., Suzuki, K., Widmann, E., and Zmeskal, J.
Published: 2013
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42. Evidence for enhanced neutron-proton correlations from the level structure of the N=Z+1 nucleus Tc444387

Author: Liu, X., primary, Cederwall, B., additional, Qi, C., additional, Wyss, R. A., additional, Aktas, Ö., additional, Ertoprak, A., additional, Zhang, W., additional, Clément, E., additional, de France, G., additional, Ralet, D., additional, Gadea, A., additional, Goasduff, A., additional, Jaworski, G., additional, Kuti, I., additional, Nyakó, B. M., additional, Nyberg, J., additional, Palacz, M., additional, Wadsworth, R., additional, Valiente-Dobón, J. J., additional, Al-Azri, H., additional, Ataç Nyberg, A., additional, Bäck, T., additional, de Angelis, G., additional, Doncel, M., additional, Dudouet, J., additional, Gottardo, A., additional, Jurado, M., additional, Ljungvall, J., additional, Mengoni, D., additional, Napoli, D. R., additional, Petrache, C. M., additional, Sohler, D., additional, Timár, J., additional, Barrientos, D., additional, Bednarczyk, P., additional, Benzoni, G., additional, Birkenbach, B., additional, Boston, A. J., additional, Boston, H. C., additional, Burrows, I., additional, Charles, L., additional, Ciemala, M., additional, Crespi, F. C. L., additional, Cullen, D. M., additional, Désesquelles, P., additional, Domingo-Pardo, C., additional, Eberth, J., additional, Erduran, N., additional, Ertürk, S., additional, González, V., additional, Goupil, J., additional, Hess, H., additional, Huyuk, T., additional, Jungclaus, A., additional, Korten, W., additional, Lemasson, A., additional, Leoni, S., additional, Maj, A., additional, Menegazzo, R., additional, Million, B., additional, Perez-Vidal, R. M., additional, Podolyàk, Zs., additional, Pullia, A., additional, Recchia, F., additional, Reiter, P., additional, Saillant, F., additional, Salsac, M. D., additional, Sanchis, E., additional, Simpson, J., additional, Stezowski, O., additional, Theisen, C., additional, and Zielińska, M., additional
Published: 2021
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43. Signature splitting of the ${g}_{7/2}[404]{7/2}^{+}$ bands in $^{131}\mathrm{Ba}$ and $^{133}\mathrm{Ce}$

Author: Ding, B., Petrache, C.M., Guo, S., Lawrie, E.A., Wakudyanaye, I., Zhang, Z.H., Wang, H.L., Meng, H.Y., Mengoni, D., Qiang, Y.H., Wang, J.G., Andreoiu, C., Astier, A., Avaa, A., Bäck, T., Bark, R.A., Bazzacco, D., Boso, A., Bucher, T.D., Cederwall, B., Chisapi, M.V., Fan, H.L., Galtarossa, F., Garcia, F.H., Goasduff, A., Jaworski, G., Jones, P., Kuti, I., Lawrie, J.J., Li, G.S., Li, R., Liu, M.L., Liu, Z., Lomberg, B., Lv, B.F., Marchlewski, T., Mdletshe, L., Msebi, L., Mthembu, S.H., Napoli, D.R., Netshiya, A., Nkalanga, M.F., Orce, J.N., Ortner, K., Recchia, F., Riccetto, S., Rohilla, A., Seakamela, T.W., Siciliano, M., Sithole, M.A., Sohler, D., Srebrny, J., Testov, D., Tucholski, A., Valiente-Dobón, J.J., Wentzel, F., Whitmore, K., Zhang, Y.H., Zheng, K.K., Zhou, X.H., Zikhali, B.R., Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
Abstract: International audience; Excited states in Ba131 and Ce133 were studied using in-beam γ-ray spectroscopy through the Sn122(C13,4n)Ba131 and Te125(C12,4n)Ce133 reactions, respectively. A strongly coupled band, associated with the νg7/2[404]7/2+ configuration, was identified in Ba131 and Ce133. It is the first time to observe the νg7/2[404]7/2+ bands in the N=75 isotones. The signature partners exhibit considerable energy splitting in comparison with those in the πg7/2[404]7/2+ bands in the odd-A Ta and Re isotopes. Extensive cranked shell model and quasiparticle-plus-triaxial-rotor model calculations reveal the origin of the signature splitting, which depends not only on the triaxiality, but also on the configuration mixing with nearby low-j orbitals.
Published: 2021

44. Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search

Author: Hagg, A., Berns, S., Asteroth, A., Colton, S., Chicano, F., Krawiec, K., Bäck. T, Chicano, F., and Krawiec, K.
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Parameterized complexity, 0102 computer and information sciences, 02 engineering and technology, Space (commercial competition), Machine learning, computer.software_genre, 01 natural sciences, Data-driven, Machine Learning (cs.LG), Similarity (psychology), 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), Parametric statistics, business.industry, Computer Science - Neural and Evolutionary Computing, Autoencoder, Generative model, Data point, 010201 computation theory & mathematics, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
Abstract: We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions. In cases where the domain's factors of variation are unknown or too complex to encode manually, generative models can provide a learned latent space to approximate these factors. When used as a search space, however, the range and diversity of possible outputs are limited to the expressivity and generative capabilities of the learned model. We compare the output diversity of a quality diversity evolutionary search performed in two different search spaces: 1) a predefined parameterized space and 2) the latent space of a variational autoencoder model. We find that the search on an explicit parametric encoding creates more diverse artifact sets than searching the latent space. A learned model is better at interpolating between known data points than at extrapolating or expanding towards unseen examples. We recommend using a generative model's latent space primarily to measure similarity between artifacts rather than for search and generation. Whenever a parametric encoding is obtainable, it should be preferred over a learned representation as it produces a higher diversity of solutions., Comment: For code for reproducing experiments, see https://github.com/alexander-hagg/ExpressivityGECCO2021
Published: 2021
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45. Identification of excited states in $_{52}^{107}\mathrm{Te}_{55}$

Author: Zhang, W., Cederwall, B., Qi, C., Ertoprak, A., Aktas, Ö., Liu, X., Andgren, K., Auranen, K., Bäck, T., Barber, L., Beeton, G., Cullen, D.M., Darby, I.G., Dimmock, M.R., Eeckhaudt, S., Ganioğlu, E., Górska, M., Grahn, T., Greenlees, P.T., Hadinia, B., Ideguchi, E., Illana, A., Jones, P.M., Joss, D.T., Julin, R., Juutinen, S., Keatings, J.M., Khaplanov, A., Kulali, F., Leino, M., Luoma, M., Lv, B., Nara Singh, B.S., Nelson, L., Niikura, M., Nyman, M., Ojala, J., Page, R.D., Pakarinen, J., Paul, E.S., Petrache, C., Petri, M., Rahkila, P., Ruotsalainen, P., Sandzelius, M., Sarén, J., Scholey, C., Smith, J.F., Sorri, J., Tann, H., Zimba, G., Uusitalo, J., Wadsworth, R., Wyss, R., Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
Abstract: International audience; Excited states in the extremely neutron-deficient nucleus Te107 have been identified from two separate experiments using the recoil-decay tagging technique. Two connected structures were observed on the basis of γγ-coincidence relations and tentatively assigned as built on the mixed-parentage νg7/2d5/2 and νh11/2 intruder configurations. The observed structures were compared with large-scale shell-model calculations and total Routhian surface calculations. Collective behavior was discovered to persist in the νh11/2 band of Te107 which highlights the shape-polarizing effect of a single valence neutron occupying the h11/2 intruder orbit as the N=50 shell closure is approached.
Published: 2021

46. Identification of excited states in 107,52Te55

Author: Zhang, W., Cederwall, B., Qi, C., Ertoprak, A., Aktas, Ö., Liu, X., Andgren, K., Auranen, K., Bäck, T., Barber, L., Beeton, G., Cullen, D. M., Darby, I. G., Dimmock, M. R., Eeckhaudt, S., Ganioğlu, E., Górska, M., Grahn, T., Greenlees, P. T., Hadinia, B., Ideguchi, E., Illana, A., Jones, P. M., Joss, D. T., Julin, R., Juutinen, S., Keatings, J. M., Khaplanov, A., Kulali, F., Leino, M., Luoma, M., Lv, B., Nara Singh, B. S., Nelson, L., Niikura, M., Nyman, M., Ojala, J., Page, R. D., Pakarinen, J., Paul, E. S., Petrache, C., Petri, M., Rahkila, P., Ruotsalainen, P., Sandzelius, M., Sarén, J., Scholey, C., Smith, J. F., Sorri, J., Tann, H., Zimba, G., Uusitalo, J., Wadsworth, R., and Wyss, R.
Subjects: isotoopit, telluuri, nuclear physics, nuclear structure, ydinfysiikka
Abstract: Excited states in the extremely neutron-deficient nucleus 107Te have been identified from two separate experiments using the recoil-decay tagging technique. Two connected structures were observed on the basis of γγ-coincidence relations and tentatively assigned as built on the mixed-parentage νg7/2d5/2 and νh11/2 intruder configurations. The observed structures were compared with large-scale shell-model calculations and total Routhian surface calculations. Collective behavior was discovered to persist in the νh11/2 band of 107Te which highlights the shape-polarizing effect of a single valence neutron occupying the h11/2 intruder orbit as the N=50 shell closure is approached. peerReviewed
Published: 2021

47. Feasibility studies for the measurement of time-like proton electromagnetic form factors from $\bar{p}p \rightarrow \mu ^+\mu ^-$ at $\overline{\text {P}}\text {ANDA}$ at FAIR

Author: Barucca, G., Davì, F., Lancioni, G., Mengucci, P., Montalto, L., Natali, P.P., Paone, N., Rinaldi, D., Scalise, L., Erni, W., Krusche, B., Steinacher, M., Walford, N., Cao, N., Liu, C., Liu, B., Shen, X., Sun, S., Tao, J., Xiong, X.A., Zhao, Gang, Zhao, J., Albrecht, M., Alkakhi, W., Bökelmann, S., Feldbauer, F., Fink, M., Frech, J., Freudenreich, V., Fritsch, M., Hagdorn, R., Heinsius, F.H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Küssner, M., Mustafa, A., Pelizäus, M., Pitka, A., Reher, J., Reicherz, G., Richter, M., Schnier, C., Sohl, L., Steinke, M., Triffterer, T., Wenzel, C., Wiedner, U., Denizli, H., Er, N., Keskin, U., Olgun, A.T., Yerlikaya, S., Yilmaz, A., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Müllers, J., Rossbach, M., Salisbury, B., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Domagala, M., Filo, G., Lisowski, E., Lisowski, F., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Kozela, A., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Fiutowski, T., Idzik, M., Swientek, K., Terlecki, P., Korcyl, G., Lalik, R., Malige, A., Moskal, P., Nowakowski, K., Przygoda, W., Rathod, N., Rudy, Z., Salabura, P., Smyrski, J., Augustin, I., Böhm, R., Lehmann, I., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Heinz, A., Jiang, P., Karabowicz, R., Koch, S., Kurilla, U., Lehmann, D., Lühning, J., Lynen, U., Orth, H., Peters, K., Rieger, J., Saito, T., Schepers, G., Schmidt, C.J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Abazov, V., Alexeev, G., Arefiev, V.A., Astakhov, V., Barabanov, M.Yu., Batyunya, B.V., Dodokhov, V.Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E.K., Lobanov, Y.Yu., Olshevskiy, A.G., Piskun, A.A., Samartsev, A., Shimanski, S., Skachkov, N.B., Skachkova, A.N., Strokovsky, E.A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N.I., Branford, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Quin, N., Robison, L., Seth, K., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Himmelreich, M., Krebs, M., Nakhoul, S., Nerling, F., Belousov, A., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Lucherini, V., Bracco, G., Bettner, Y., Bodenschatz, S., Brinkmann, K.T., Brück, L., Diehl, S., Dormenev, V., Düren, M., Erlen, T., Föhl, K., Hahn, C., Hayrapetyan, A., Hofmann, J., Kegel, S., Kesselkaul, M., Köseoglu, I., Kripko, A., Kühn, W., Lange, J.S., Metag, V., Moritz, M., Nanova, M., Novotny, R., Orsich, P., Pereira-De-Lira, J., Peter, M., Sachs, M., Schmidt, M., Schubert, R., Stenzel, H., Straube, M., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H.G., Tomasi-Gustafsson, E., Glazier, D., Ireland, D., Seitz, B., Deepak, P.N., Kulkarni, A., Kappert, R., Kavatsyuk, M., Loehner, H., Messchendorp, J., Rodin, V., Schakel, P., Vejdani, S., Dutta, K., Kalita, K., Huang, G., Liu, D., Peng, H., Qi, H., Sun, Y., Zhou, X., Kunze, M., Azizi, K., Bianchi, L., Derichs, A., Dosdall, R., Erven, A., Esmail, W., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kannika, J., Kulessa, P., Lai, A., Orfanitski, S., Andrade, G. Pérez, Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Schmitz, R., Scholl, A., Sefzick, T., Serdyuk, V., Sterzenbach, G., Stockmanns, T., Veretennikov, D., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Cao, X., Hu, Q., Li, Z., Li, H., Liang, Y., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Aycock, A., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Leithoff, H.H., Liu, Z., Merkel, H., Müller, U., Pochodzalla, J., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmed, S., Bleser, S., Bölting, M., Capozza, L., Dbeyssi, A., Ehret, A., Grasemann, P., Klasen, R., Kliemt, R., Maas, F., Maldaner, S., Morales, C. Morales, Motzko, C., Noll, O., Pflüger, S., Piñeiro, D. Rodríguez, Schupp, F., Steinen, M., Wolff, S., Zimmermann, I., Fedorov, A., Kazlou, D., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Golubev, A., Goryachev, V., Kantsyrev, A., Kirin, D.Y., Kotov, A., Kristi, N., Ladygina, E., Luschevskaya, E., Matveev, V.A., Panjushkin, V., Stavinskiy, A.V., Balashoff, A., Boukharov, A., Malyshev, O., Basant, K.N., Kumawat, H., Roy, B., Saxena, A., Yogesh, S., Bonaventura, D., Brand, P., Fritzsch, C., Grieser, S., Hargens, C., Hergemöller, A.K., Hetz, B., Hüsken, N., Kellers, J., Khoukaz, A., Bumrungkoh, D., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Manasatitpong, K., Nasawad, T., Pongampai, S., Simantathammakul, T., Srisawad, P., Wongprachanukul, N., Yan, Y., Yu, C., Zhang, X., Zhu, W., Blinov, A.E., Kononov, S., Kravchenko, E.A., Antokhin, E., Barnyakov, A.Yu., Beloborodov, K., Blinov, V.E., Kuyanov, I.A., Pivovarov, S., Pyata, E., Tikhonov, Y., Kunne, R., Ramstein, B., Hunter, G., Lattery, M., Pace, H., Boca, G., Duda, D., Finger, M., M.Finger, Jr., Kveton, A., Pesek, M., Peskova, M., Prochazka, I., Slunecka, M., Volf, M., Gallus, P., Jary, V., Korchak, O., Marcisovsky, M., Neue, G., Novy, J., Tomasek, L., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Bukreeva, S., Chernichenko, S., Derevschikov, A., Ferapontov, V., Goncharenko, Y., Levin, A., Maslova, E., Melnik, Y., Meschanin, A., Minaev, N., Mochalov, V., Moiseev, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Fedotov, G., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Zhdanov, A., Atac, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P.E., Wölbing, D., Gandhi, K., Rai, A.K., Godre, S., Crede, V., Dobbs, S., Eugenio, P., Lersch, D., Iazzi, F., Lavagno, A., Bussa, M.P., Spataro, S., Calvo, D., de Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Martin, A., Akram, A., Calen, H., Andersson, W. Ikegami, Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Regina, J., Schönning, K., Wolke, M., Diaz, J., Chackara, V. Pothodi, Chlopik, A., Kesik, G., Melnychuk, D., Tarasiuk, J., Wojciechowski, M., Wronka, S., Zwieglinski, B., Amsler, C., Bühler, P., Kratochwil, N., Marton, J., Nalti, W., Steinschaden, D., Suzuki, K., Widmann, E., Zimmermann, S., Zmeskal, J., Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), PANDA, and Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11)
Subjects: data analysis method, Nuclear and High Energy Physics, Particle physics, Proton, Monte Carlo method, Hadron, +muon%2B+muon%22">p anti-p --> muon+ muon, programming, 01 natural sciences, anti-p p: colliding beams, Momentum, Pion, statistical analysis, 0103 physical sciences, anti-p p: scattering, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Nuclear fusion, ddc:530, angular distribution, structure, anti-p: beam, 010306 general physics, Physics, Muon, background, 010308 nuclear & particles physics, PANDA, suppression, form factor: electromagnetic, muon: pair production, p: form factor, beam: momentum, numerical calculations: Monte Carlo, statistical, Bar (unit)
Abstract: The European physical journal / A 57(1), 30 (2021). doi:10.1140/epja/s10050-020-00333-3, Published by Springer, Heidelberg
Published: 2021
Full Text: View/download PDF

48. Evidence for enhanced neutron-proton correlations from the level structure of the N=Z+1 nucleus Tc44 4387

Author: Liu, X., Cederwall, B., Qi, C., Wyss, R. A., Aktas, Ó, Ertoprak, A., Zhang, W., Clément, E., De France, G., Ralet, D., Gadea, Andrés, Goasduff, A., Jaworski, G., Kuti, I., Nyakó, B. M., Nyberg, J., Palacz, M., Wadsworth, R., Valiente-Dobón, J. J., Al-Azri, H., Ataç Nyberg, A., Bäck, T., De Angelis, G., Doncel, M., Dudouet, J., Gottardo, A., Jurado, M., Ljungvall, J., Mengoni, D., Napoli, D.R., Petrache, C. M., Sohler, D., Timár, J., Barrientos, D., Bednarczyk, P., Benzoni, G., Birkenbach, B., Boston, A. J., Boston, H. C., Burrows, I., Charles, L., Ciemala, M., Crespi, F.C.L., Cullen, D.M., Désesquelles, P., Domingo Pardo, César, Eberth, J., Erduran, N., Ertürk, S., González, V., Goupil, J., Hess, H., Hüyük, T., Jungclaus, Andrea, Korten, W., Lemasson, A., Leoni, S., Maj, A., Menegazzo, R., Million, B., Perez-Vidal, R. M., Podolyàk, Zs, Pullia, A., Recchia, F., Reiter, P., Saillant, F., Salsac, M. D., Sanchis, E., Simpson, J., Stezowski, O., Theisen, C., Zielińska, M., Swedish Research Council, European Commission, Science and Technology Facilities Council (UK), National Science Centre (Poland), National Research, Development and Innovation Office (Hungary), Agencia Estatal de Investigación (España), Generalitat Valenciana, and China Scholarship Council
Abstract: 5 pags., 4 figs., The low-lying excited states in the neutron-deficient N=Z+1 nucleus Tc444387 have been studied via the fusion-evaporation reaction Fe54(Ar36, 2n1p)Tc87 at the Grand Accélérateur National d'Ions Lourds (GANIL), France. The AGATA spectrometer was used in conjunction with the auxiliary NEDA, Neutron Wall, and DIAMANT detector arrays to measure coincident prompt γ rays, neutrons, and charged particles emitted in the reaction. A level scheme of Tc87 from the (9/2g.s.+) state to the (33/21+) state was established based on six mutually coincident γ-ray transitions. The constructed level structure exhibits a rotational behavior with a sharp backbending at ω≈0.50 MeV. A decrease in alignment frequency and increase in alignment sharpness in the odd-mass isotonic chains around N=44 is proposed as an effect of the enhanced isoscalar neutron-proton interactions in odd-mass nuclei when approaching the N=Z line., This work was supported by the Swedish Research Council under Grants No. 621-2014-5558 and No. 2019-04880, the EU 7th Framework Programme, Integrating Activities Transnational Access, Project No. 262010 ENSAR, the UK STFC under Grants No. ST/L005727/1 and No. ST/P003885/1, the Polish National Science Centre, Grants No. 2017/25/B/ST2/01569, No. COPIN-INFN, No. COPIN-IN2P3, and No. COPIGAL projects, the National Research, Development and Innovation Fund of Hungary (Project No. K128947), the European Regional Development Fund (Contract No. GINOP-2.3.3-15-2016-00034), the Hungarian National Research, Development and Innovation Office - NKFIH, Contract No. PD124717, the Ministerio de Ciencia e Innovación and Generalitat Valenciana, Spanish, under Grants No. SEV-2014-0398, No. FPA2017-84756-C4, and No. PROMETEO/2019/005 and by the EU FEDER funds. X.L. gratefully acknowledges support from the China Scholarship Council, Grant No. 201700260183 for his stay in Sweden.
Published: 2021

49. Feasibility studies for the measurement of time-like proton electromagnetic form factors from $\bar{p}p\rightarrow \mu^{+}\mu^{-}$ at $\bar{P}ANDA$ at FAIR

Author: Barucca, G., Davì, F., Lancioni, G., Mengucci, P., Montalto, L., Natali, P. P., Paone, N., Rinaldi, D., Scalise, L., Erni, W., Krusche, B., Steinacher, M., Walford, N., Cao, N., Liu, Z., Liu, C., Liu, B., Shen, X., Sun, S., Tao, J., Xiong, X. A., Zhao, G., Zhao, J., Albrecht, M., Alkakhi, W., Bökelmann, S., Coen, S., Feldbauer, F., Fink, M., Frech, J., Freudenreich, V., Fritsch, M., Grochowski, J., Hagdorn, R., Heinsius, F. H., Held, T., Holtmann, T., Keshk, I., Koch, H., Kopf, B., Kuhlmann, M., Kümmel, M., Küßner, M., Li, J., Linzen, L., Maldaner, S., Oppotsch, J., Pankonin, S., Pelizäus, M., Pflüger, S., Pitka, A., Reher, J., Reicherz, G., Schnier, C., Steinke, M., Triffterer, T., Wenzel, C., Wiedner, U., Denizli, H., Er, N., Keskin, U., Olgun, A. T., Yerlikaya, S., Yilmaz, A., Beck, R., Hammann, C., Hartmann, J., Ketzer, B., Müllers, J., Rossbach, M., Salisbury, B., Schmidt, C., Thoma, U., Urban, M., Bianconi, A., Bragadireanu, M., Pantea, D., Domagala, M., Filo, G., Lisowski, E., Lisowski, F., Michałek, M., Poznański, P., Płażek, J., Korcyl, K., Kozela, A., Lebiedowicz, P., Pysz, K., Schäfer, W., Szczurek, A., Firlej, M., Fiutowski, T., Idzik, M., Moron, J., Swientek, K., Terlecki, P., Korcyl, Grzegorz, Lalik, Rafał, Malige, Akshay, Moskal, Paweł, Nowakowski, Krzysztof, Przygoda, Witold, Rathod, Narendra, Rudy, Zbigniew, Salabura, Piotr, Smyrski, Jerzy, Augustin, I., Böhm, R., Lehmann, I., Schmitt, L., Varentsov, V., Al-Turany, M., Belias, A., Deppe, H., Dzhygadlo, R., Flemming, H., Gerhardt, A., Götzen, K., Heinz, A., Jiang, P., Karabowicz, R., Koch, S., Kurilla, U., Lehmann, D., Lühning, J., Lynen, U., Orth, H., Peters, K., Saito, T., Schepers, G., Schmidt, C. J., Schwarz, C., Schwiening, J., Täschner, A., Traxler, M., Voss, B., Wieczorek, P., Abazov, V., Alexeev, G., Arefiev, V. A., Astakhov, V., Barabanov, M. Yu., Batyunya, B. V., Dodokhov, V. Kh., Efremov, A., Fechtchenko, A., Galoyan, A., Golovanov, G., Koshurnikov, E. K., Lobanov, Y. Yu., Olshevskiy, A. G., Piskun, A. A., Samartsev, A., Shimanski, S., Skachkov, N. B., Skachkova, A. N., Strokovsky, E. A., Tokmenin, V., Uzhinsky, V., Verkheev, A., Vodopianov, A., Zhuravlev, N. I., Branford, D., Watts, D., Böhm, M., Eyrich, W., Lehmann, A., Miehling, D., Pfaffinger, M., Quin, N., Robison, L., Seth, K., Xiao, T., Bettoni, D., Ali, A., Hamdi, A., Himmelreich, M., Krebs, M., Nakhoul, S., Nerling, F., Belousov, A., Kisel, I., Kozlov, G., Pugach, M., Zyzak, M., Bianchi, N., Gianotti, P., Lucherini, V., Bracco, G., Bettner, Y., Bodenschatz, S., Brinkmann, K. T., Brück, L., Diehl, S., Dormenev, V., Düren, M., Erlen, T., Föhl, K., Hahn, C., Hayrapetyan, A., Hofmann, J., Kegel, S., Kesselkaul, M., Köseoglu, I., Kripko, A., Kühn, W., Lange, J. S., Metag, V., Moritz, M., Nanova, M., Novotny, R., Orsich, P., Pereira-de-Lira, J., Peter, M., Sachs, M., Schmidt, M., Schubert, R., Stenzel, H., Straube, M., Strickert, M., Thöring, U., Wasem, T., Wohlfahrt, B., Zaunick, H. G., Tomasi-Gustafsson, E., Glazier, D., Ireland, D., Seitz, B., Deepak, P. N., Kulkarni, A., Kappert, R., Kavatsyuk, M., Loehner, H., Messchendorp, J., Rodin, V., Schakel, P., Vejdani, S., Dutta, K., Kalita, K., Huang, G., Liu, D., Peng, H., Qi, H., Sun, Y., Zhou, X., Kunze, M., Azizi, K., Tavukoglu, Z., Derichs, A., Dosdall, R., Esmail, W., Gillitzer, A., Goldenbaum, F., Grunwald, D., Jokhovets, L., Kannika, J., Kulessa, P., Orfanitski, S., Pérez Andrade, G., Prasuhn, D., Prencipe, E., Pütz, J., Ritman, J., Rosenthal, E., Schadmand, S., Schmitz, R., Scholl, A., Sefzick, T., Serdyuk, V., Stockmanns, T., Veretennikov, D., Wintz, P., Wüstner, P., Xu, H., Zhou, Y., Cao, X., Hu, Q., Li, Z., Li, H., Liang, Y., Ma, X., Rigato, V., Isaksson, L., Achenbach, P., Corell, O., Denig, A., Distler, M., Hoek, M., Lauth, W., Leithoff, H. H., Merkel, H., Müller, U., Pochodzalla, J., Schlimme, S., Sfienti, C., Thiel, M., Zambrana, M., Ahmed, S., Bleser, S., Bölting, M., Capozza, L., Dbeyssi, A., Ehret, A., Klasen, R., Kliemt, R., Maas, F., Motzko, C., Noll, O., Piñeiro, D. Rodríguez, Schupp, F., Steinen, M., Wolff, S., Zimmermann, I., Fedorov, A., Kazlou, D., Korzhik, M., Missevitch, O., Balanutsa, P., Chernetsky, V., Demekhin, A., Dolgolenko, A., Fedorets, P., Gerasimov, A., Golubev, A., Goryachev, V., Kantsyrev, A., Kirin, D. Y., Kristi, N., Ladygina, E., Luschevskaya, E., Matveev, V. A., Panjushkin, V., Stavinskiy, A. V., Balashoff, A., Boukharov, A., Malyshev, O., Basant, K. N., Kumawat, H., Roy, B., Saxena, A., Yogesh, S., Bonaventura, D., Brand, P., Fritzsch, C., Grieser, S., Hargens, C., Hergemöller, A. K., Hetz, B., Hüsken, N., Kellers, J., Khoukaz, A., Mannweiler, C., Vestrick, S., Bumrungkoh, D., Herold, C., Khosonthongkee, K., Kobdaj, C., Limphirat, A., Manasatitpong, K., Nasawad, T., Pongampai, S., Simantathammakul, T., Srisawad, P., Wongprachanukul, N., Yan, Y., Yu, C., Zhang, X., Zhu, W., Blinov, A. E., Kononov, S., Kravchenko, E. A., Antokhin, E., Barnyakov, A. Yu., Beloborodov, K., Blinov, V. E., Kuyanov, I. A., Pivovarov, S., Pyata, E., Tikhonov, Y., Hunter, G., Lattery, M., Pace, H., Boca, G., Duda, D., Finger, M., Finger, Jr., M., Kveton, A., Pesek, M., Peskova, M., Prochazka, I., Slunecka, M., Volf, M., Gallus, P., Jary, V., Korchak, O., Marcisovsky, M., Neue, G., Novy, J., Tomasek, L., Tomasek, M., Virius, M., Vrba, V., Abramov, V., Bukreeva, S., Chernichenko, S., Derevschikov, A., Ferapontov, V., Goncharenko, Y., Levin, A., Maslova, E., Melnik, Y., Meschanin, A., Minaev, N., Mochalov, V., Moiseev, V., Morozov, D., Nogach, L., Poslavskiy, S., Ryazantsev, A., Ryzhikov, S., Semenov, P., Shein, I., Uzunian, A., Vasiliev, A., Yakutin, A., Roy, U., Yabsley, B., Belostotski, S., Fedotov, G., Gavrilov, G., Izotov, A., Manaenkov, S., Miklukho, O., Zhdanov, A., Atac, A., Bäck, T., Cederwall, B., Makonyi, K., Preston, M., Tegner, P. E., Wölbing, D., Gandhi, K., Rai, A. K., Godre, S., Crede, V., Dobbs, S., Eugenio, P., Lersch, D., Calvo, D., De Remigis, P., Filippi, A., Mazza, G., Rivetti, A., Wheadon, R., Bussa, M. P., Spataro, S., Iazzi, F., Lavagno, A., Martin, A., Akram, A., Calen, H., Andersson, W. Ikegami, Johansson, T., Kupsc, A., Marciniewski, P., Papenbrock, M., Regina, J., Rieger, J., Schönning, K., Wolke, M., Pothodi Chackara, V., Chlopik, A., Kesik, G., Melnychuk, D., Tarasiuk, J., Wojciechowski, M., Wronka, S., Zwieglinski, B., Amsler, C., Bühler, P., Marton, J., Nalti, W., Steinschaden, D., Widmann, E., Zimmermann, S., and Zmeskal, J.
Published: 2021

50. Discovering outstanding subgroup lists for numeric targets using MDL

Author: Proença, H.M. (Hugo), Grünwald, P.D. (Peter), Bäck, T. (Thomas), Leeuwen, M. (Matthijs) van, Proença, H.M. (Hugo), Grünwald, P.D. (Peter), Bäck, T. (Thomas), and Leeuwen, M. (Matthijs) van
Abstract: The task of subgroup discovery (SD) is to find interpretable descriptions of subsets of a dataset that stand out with respect to a target attribute. To address the problem of mining large numbers of redundant subgroups, subgroup set discovery (SSD) has been proposed. State-of-the-art SSD methods have their limitations though, as they typically heavily rely on heuristics and/or user-chosen hyperparameters. We propose a dispersion-aware problem formulation for subgroup set discovery that is based on the minimum description length (MDL) principle and subgroup lists. We argue that the best subgroup list is the one that best summarizes the data given the overall distribution of the target. We restrict our focus to a single numeric target variable and show that our formalization coincides with an existing quality measure when finding a single subgroup, but that—in addition—it allows to trade off subgroup quality with the complexity of the subgroup. We next propose SSD++, a heuristic algorithm for which we empirically demonstrate that it returns outstanding subgroup lists: non-redundant sets of compact subgroups that stand out by having strongly deviating means and small spread.
Published: 2021
Full Text: View/download PDF

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