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  1. Book ; Online: DeepTreeGANv2

    Scham, Moritz Alfons Wilhelm / Krücker, Dirk / Borras, Kerstin

    Iterative Pooling of Point Clouds

    2023  

    Abstract: In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generation of large point clouds in a short time is required, while the complex ... ...

    Abstract In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generation of large point clouds in a short time is required, while the complex dependencies between the particles must be correctly modelled. Particle showers are inherently tree-based processes, as each particle is produced by the decay or detector interaction of a particle of the previous generation. In this work, we present a significant extension to DeepTreeGAN, featuring a critic, that is able to aggregate such point clouds iteratively in a tree-based manner. We show that this model can reproduce complex distributions, and we evaluate its performance on the public JetNet 150 dataset.

    Comment: arXiv admin note: substantial text overlap with arXiv:2311.12616
    Keywords Physics - Data Analysis ; Statistics and Probability ; Computer Science - Machine Learning ; High Energy Physics - Experiment
    Publishing date 2023-11-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

    Rehm, Florian / Vallecorsa, Sofia / Borras, Kerstin / Krücker, Dirk

    2021  

    Abstract: The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based simulation is extremely demanding in terms of computing resources. This ... ...

    Abstract The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based simulation is extremely demanding in terms of computing resources. This challenge motivates investigations of faster, alternative approaches for replacing the standard Monte Carlo approach. We apply Generative Adversarial Networks (GANs), a deep learning technique, to replace the calorimeter detector simulations and speeding up the simulation time by orders of magnitude. We follow a previous approach which used three-dimensional convolutional neural networks and develop new two-dimensional convolutional networks to solve the same 3D image generation problem faster. Additionally, we increased the number of parameters and the neural networks representational power, obtaining a higher accuracy. We compare our best convolutional 2D neural network architecture and evaluate it versus the previous 3D architecture and Geant4 data. Our results demonstrate a high physics accuracy and further consolidate the use of GANs for fast detector simulations.

    Comment: Paper published at vCHEP2021 conference
    Keywords High Energy Physics - Experiment ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2021-05-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Reduced Precision Strategies for Deep Learning

    Rehm, Florian / Vallecorsa, Sofia / Saletore, Vikram / Pabst, Hans / Chaibi, Adel / Codreanu, Valeriu / Borras, Kerstin / Krücker, Dirk

    A High Energy Physics Generative Adversarial Network Use Case

    2021  

    Abstract: Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficient is ...

    Abstract Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficient is to quantize the parameters of the neural networks to reduced precision. Reduced precision computing is extensively used in modern deep learning and results to lower execution inference time, smaller memory footprint and less memory bandwidth. In this paper we analyse the effects of low precision inference on a complex deep generative adversarial network model. The use case which we are addressing is calorimeter detector simulations of subatomic particle interactions in accelerator based high energy physics. We employ the novel Intel low precision optimization tool (iLoT) for quantization and compare the results to the quantized model from TensorFlow Lite. In the performance benchmark we gain a speed-up of 1.73x on Intel hardware for the quantized iLoT model compared to the initial, not quantized, model. With different physics-inspired self-developed metrics, we validate that the quantized iLoT model shows a lower loss of physical accuracy in comparison to the TensorFlow Lite model.

    Comment: Submitted at ICPRAM 2021; from CERN openlab - Intel collaboration
    Keywords Physics - Data Analysis ; Statistics and Probability ; Computer Science - Artificial Intelligence ; High Energy Physics - Experiment
    Subject code 006
    Publishing date 2021-03-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book: The performance of the H1 Calorimeters

    Borras, K / Weber, M

    (DESY ; 95-067)

    1995  

    Author's details K. Borras; M. Weber
    Series title DESY ; 95-067
    Language English
    Size 19 S
    Publisher DESY
    Publishing place Hamburg
    Document type Book
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  5. Book ; Thesis: Aufbau und Kalibration eines Flüssig-Argon-Kalorimeters im H1 Detektor

    Borras, Kerstin

    1992  

    Author's details von Kerstin Borras
    Language Undetermined
    Size II, 171 S, graph. Darst
    Document type Book ; Thesis
    Thesis / German Habilitation thesis @Dortmund, Univ., Diss. : 1992
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Article ; Online: Search for Scalar Leptoquarks Produced via τ-Lepton-Quark Scattering in pp Collisions at sqrt[s]=13  TeV.

    Hayrapetyan, A / Tumasyan, A / Adam, W / Andrejkovic, J W / Bergauer, T / Chatterjee, S / Damanakis, K / Dragicevic, M / Escalante Del Valle, A / Hussain, P S / Jeitler, M / Krammer, N / Liko, D / Mikulec, I / Schieck, J / Schöfbeck, R / Schwarz, D / Sonawane, M / Templ, S /
    Waltenberger, W / Wulz, C-E / Darwish, M R / Janssen, T / Van Mechelen, P / Bols, E S / D'Hondt, J / Dansana, S / De Moor, A / Delcourt, M / El Faham, H / Lowette, S / Makarenko, I / Müller, D / Sahasransu, A R / Tavernier, S / Tytgat, M / Van Putte, S / Vannerom, D / Clerbaux, B / De Lentdecker, G / Favart, L / Hohov, D / Jaramillo, J / Khalilzadeh, A / Lee, K / Mahdavikhorrami, M / Malara, A / Paredes, S / Pétré, L / Postiau, N / Thomas, L / Vanden Bemden, M / Vander Velde, C / Vanlaer, P / De Coen, M / Dobur, D / Hong, Y / Knolle, J / Lambrecht, L / Mestdach, G / Rendón, C / Samalan, A / Skovpen, K / Van Den Bossche, N / Wezenbeek, L / Benecke, A / Bruno, G / Caputo, C / Delaere, C / Donertas, I S / Giammanco, A / Jaffel, K / Jain, Sa / Lemaitre, V / Lidrych, J / Mastrapasqua, P / Mondal, K / Tran, T T / Wertz, S / Alves, G A / Coelho, E / Hensel, C / Menezes De Oliveira, T / Moraes, A / Rebello Teles, P / Soeiro, M / Aldá Júnior, W L / Alves Gallo Pereira, M / Barroso Ferreira Filho, M / Brandao Malbouisson, H / Carvalho, W / Chinellato, J / Da Costa, E M / Da Silveira, G G / De Jesus Damiao, D / Fonseca De Souza, S / Martins, J / Mora Herrera, C / Mota Amarilo, K / Mundim, L / Nogima, H / Santoro, A / Silva Do Amaral, S M / Sznajder, A / Thiel, M / Vilela Pereira, A / Bernardes, C A / Calligaris, L / Tomei, T R Fernandez Perez / Gregores, E M / Mercadante, P G / Novaes, S F / Orzari, B / Padula, Sandra S / Aleksandrov, A / Antchev, G / Hadjiiska, R / Iaydjiev, P / Misheva, M / Shopova, M / Sultanov, G / Dimitrov, A / Ivanov, T / Litov, L / Pavlov, B / Petkov, P / Petrov, A / Shumka, E / Keshri, S / Thakur, S / Cheng, T / Guo, Q / Javaid, T / Mittal, M / Yuan, L / Bauer, G / Hu, Z / Liu, J / Yi, K / Chen, G M / Chen, H S / Chen, M / Iemmi, F / Jiang, C H / Kapoor, A / Liao, H / Liu, Z-A / Monti, F / Shahzad, M A / Sharma, R / Song, J N / Tao, J / Wang, C / Wang, J / Wang, Z / Zhang, H / Agapitos, A / Ban, Y / Levin, A / Li, C / Li, Q / Mao, Y / Qian, S J / Sun, X / Wang, D / Yang, H / Zhang, L / Zhou, C / You, Z / Lu, N / Gao, X / Leggat, D / Okawa, H / Zhang, Y / Lin, Z / Lu, C / Xiao, M / Avila, C / Barbosa Trujillo, D A / Cabrera, A / Florez, C / Fraga, J / Reyes Vega, J A / Mejia Guisao, J / Ramirez, F / Rodriguez, M / Ruiz Alvarez, J D / Giljanovic, D / Godinovic, N / Lelas, D / Sculac, A / Kovac, M / Sculac, T / Bargassa, P / Brigljevic, V / Chitroda, B K / Ferencek, D / Mishra, S / Starodumov, A / Susa, T / Attikis, A / Christoforou, K / Konstantinou, S / Mousa, J / Nicolaou, C / Ptochos, F / Razis, P A / Rykaczewski, H / Saka, H / Stepennov, A / Finger, M / Kveton, A / Ayala, E / Carrera Jarrin, E / Assran, Y / Elgammal, S / Abdullah Al-Mashad, M / Mahmoud, M A / Dewanjee, R K / Ehataht, K / Kadastik, M / Lange, T / Nandan, S / Nielsen, C / Pata, J / Raidal, M / Tani, L / Veelken, C / Kirschenmann, H / Osterberg, K / Voutilainen, M / Bharthuar, S / Brücken, E / Garcia, F / Havukainen, J / Kallonen, K T S / Kim, M S / Kinnunen, R / Lampén, T / Lassila-Perini, K / Lehti, S / Lindén, T / Lotti, M / Martikainen, L / Myllymäki, M / Rantanen, M M / Siikonen, H / Tuominen, E / Tuominiemi, J / Luukka, P / Petrow, H / Tuuva, T / Besancon, M / Couderc, F / Dejardin, M / Denegri, D / Faure, J L / Ferri, F / Ganjour, S / Gras, P / Hamel de Monchenault, G / Lohezic, V / Malcles, J / Rander, J / Rosowsky, A / Sahin, M Ö / Savoy-Navarro, A / Simkina, P / Titov, M / Baldenegro Barrera, C / Beaudette, F / Buchot Perraguin, A / Busson, P / Cappati, A / Charlot, C / Damas, F / Davignon, O / De Wit, A / Falmagne, G / Fontana Santos Alves, B A / Ghosh, S / Gilbert, A / Granier de Cassagnac, R / Hakimi, A / Harikrishnan, B / Kalipoliti, L / Liu, G / Motta, J / Nguyen, M / Ochando, C / Portales, L / Salerno, R / Sarkar, U / Sauvan, J B / Sirois, Y / Tarabini, A / Vernazza, E / Zabi, A / Zghiche, A / Agram, J-L / Andrea, J / Apparu, D / Bloch, D / Brom, J-M / Chabert, E C / Collard, C / Falke, S / Goerlach, U / Grimault, C / Haeberle, R / Le Bihan, A-C / Sessini, M A / Van Hove, P / Beauceron, S / Blancon, B / Boudoul, G / Chanon, N / Choi, J / Contardo, D / Depasse, P / Dozen, C / El Mamouni, H / Fay, J / Gascon, S / Gouzevitch, M / Greenberg, C / Grenier, G / Ille, B / Laktineh, I B / Lethuillier, M / Mirabito, L / Perries, S / Purohit, A / Vander Donckt, M / Verdier, P / Xiao, J / Khvedelidze, A / Lomidze, I / Tsamalaidze, Z / Botta, V / Feld, L / Klein, K / Lipinski, M / Meuser, D / Pauls, A / Röwert, N / Teroerde, M / Diekmann, S / Dodonova, A / Eich, N / Eliseev, D / Engelke, F / Erdmann, M / Fackeldey, P / Fischer, B / Hebbeker, T / Hoepfner, K / Ivone, F / Jung, A / Lee, M Y / Mastrolorenzo, L / Merschmeyer, M / Meyer, A / Mukherjee, S / Noll, D / Novak, A / Nowotny, F / Pozdnyakov, A / Rath, Y / Redjeb, W / Rehm, F / Reithler, H / Sarkisovi, V / Schmidt, A / Schuler, S C / Sharma, A / Stein, A / Torres Da Silva De Araujo, F / Vigilante, L / Wiedenbeck, S / Zaleski, S / Dziwok, C / Flügge, G / Haj Ahmad, W / Kress, T / Nowack, A / Pooth, O / Stahl, A / Ziemons, T / Zotz, A / Aarup Petersen, H / Aldaya Martin, M / Alimena, J / Amoroso, S / An, Y / Baxter, S / Bayatmakou, M / Becerril Gonzalez, H / Behnke, O / Belvedere, A / Bhattacharya, S / Blekman, F / Borras, K / Brunner, D / Campbell, A / Cardini, A / Cheng, C / Colombina, F / Consuegra Rodríguez, S / Correia Silva, G / De Silva, M / Eckerlin, G / Eckstein, D / Estevez Banos, L I / Filatov, O / Gallo, E / Geiser, A / Giraldi, A / Greau, G / Guglielmi, V / Guthoff, M / Hinzmann, A / Jafari, A / Jeppe, L / Jomhari, N Z / Kaech, B / Kasemann, M / Kaveh, H / Kleinwort, C / Kogler, R / Komm, M / Krücker, D / Lange, W / Leyva Pernia, D / Lipka, K / Lohmann, W / Mankel, R / Melzer-Pellmann, I-A / Mendizabal Morentin, M / Metwally, J / Meyer, A B / Milella, G / Mussgiller, A / Nürnberg, A / Otarid, Y / Pérez Adán, D / Ranken, E / Raspereza, A / Ribeiro Lopes, B / Rübenach, J / Saggio, A / Scham, M / Schnake, S / Schütze, P / Schwanenberger, C / Selivanova, D / Shchedrolosiev, M / Sosa Ricardo, R E / Sreelatha Pramod, L P / Stafford, D / Vazzoler, F / Ventura Barroso, A / Walsh, R / Wang, Q / Wen, Y / Wichmann, K / Wiens, L / Wissing, C / Wuchterl, S / Yang, Y / Zimermmane Castro Santos, A / Albrecht, A / Albrecht, S / Antonello, M / Bein, S / Benato, L / Bonanomi, M / Connor, P / Eich, M / El Morabit, K / Fischer, Y / Fröhlich, A / Garbers, C / Garutti, E / Grohsjean, A / Hajheidari, M / Haller, J / Jabusch, H R / Kasieczka, G / Keicher, P / Klanner, R / Korcari, W / Kramer, T / Kutzner, V / Labe, F / Lange, J / Lobanov, A / Matthies, C / Mehta, A / Moureaux, L / Mrowietz, M / Nigamova, A / Nissan, Y / Paasch, A / Pena Rodriguez, K J / Quadfasel, T / Raciti, B / Rieger, M / Savoiu, D / Schindler, J / Schleper, P / Schröder, M / Schwandt, J / Sommerhalder, M / Stadie, H / Steinbrück, G / Tews, A / Wolf, M / Brommer, S / Burkart, M / Butz, E / Chwalek, T / Dierlamm, A / Droll, A / Faltermann, N / Giffels, M / Gottmann, A / Hartmann, F / Hofsaess, R / Horzela, M / Husemann, U / Klute, M / Koppenhöfer, R / Link, M / Lintuluoto, A / Maier, S / Mitra, S / Mormile, M / Müller, Th / Neukum, M / Oh, M / Quast, G / Rabbertz, K / Regnery, B / Shadskiy, N / Shvetsov, I / Simonis, H J / Trevisani, N / Ulrich, R / van der Linden, J / Von Cube, R F / Wassmer, M / Wieland, S / Wittig, F / Wolf, R / Wunsch, S / Zuo, X / Anagnostou, G / Assiouras, P / Daskalakis, G / Kyriakis, A / Papadopoulos, A / Stakia, A / Kontaxakis, P / Melachroinos, G / Panagiotou, A / Papavergou, I / Paraskevas, I / Saoulidou, N / Theofilatos, K / Tziaferi, E / Vellidis, K / Zisopoulos, I / Bakas, G / Chatzistavrou, T / Karapostoli, G / Kousouris, K / Papakrivopoulos, I / Siamarkou, E / Tsipolitis, G / Zacharopoulou, A / Adamidis, K / Bestintzanos, I / Evangelou, I / Foudas, C / Gianneios, P / Kamtsikis, C / Katsoulis, P / Kokkas, P / Kosmoglou Kioseoglou, P G / Manthos, N / Papadopoulos, I / Strologas, J / Csanád, M / Farkas, K / Gadallah, M M A / Kadlecsik, Á / Major, P / Mandal, K / Pásztor, G / Rádl, A J / Veres, G I / Bartók, M / Hajdu, C / Horvath, D / Sikler, F / Veszpremi, V / Raics, P / Ujvari, B / Zilizi, G / Bencze, G / Czellar, S / Karancsi, J / Molnar, J / Szillasi, Z / Csorgo, T / Nemes, F / Novak, T / Babbar, J / Bansal, S / Beri, S B / Bhatnagar, V / Chaudhary, G / Chauhan, S / Dhingra, N / Gupta, R / Kaur, A / Kaur, H / Kaur, M / Kumar, S / Meena, M / Sandeep, K / Sheokand, T / Singh, J B / Singla, A / Ahmed, A / Bhardwaj, A / Chhetri, A / Choudhary, B C / Kumar, A / Naimuddin, M / Ranjan, K / Saumya, S / Acharya, S / Baradia, S / Barman, S / Bhowmik, D / Dutta, S / Gomber, B / Palit, P / Saha, G / Sahu, B / Sarkar, S / Ameen, M M / Behera, P K / Behera, S C / Jana, P / Kalbhor, P / Komaragiri, J R / Kumar, D / Panwar, L / Pradhan, R / Pujahari, P R / Saha, N R / Sikdar, A K / Verma, S / Aziz, T / Das, I / Dugad, S / Kumar, M / Mohanty, G B / Suryadevara, P / Bala, A / Banerjee, S / Chatterjee, R M / Guchait, M / Jain, Sh / Karmakar, S / Majumder, G / Mazumdar, K / Parolia, S / Thachayath, A / Bahinipati, S / Das, A K / Kar, C / Maity, D / Mal, P / Mishra, T / Muraleedharan Nair Bindhu, V K / Naskar, K / Nayak, A / Sadangi, P / Saha, P / Swain, S K / Varghese, S / Vats, D / Alpana, A / Dube, S / Kansal, B / Laha, A / Rastogi, A / Sharma, S / Bakhshiansohi, H / Khazaie, E / Zeinali, M / Chenarani, S / Etesami, S M / Khakzad, M / Mohammadi Najafabadi, M / Grunewald, M / Abbrescia, M / Aly, R / Colaleo, A / Creanza, D / D' Anzi, B / De Filippis, N / De Palma, M / Di Florio, A / Elmetenawee, W / Fiore, L / Iaselli, G / Maggi, G / Maggi, M / Margjeka, I / Mastrapasqua, V / My, S / Nuzzo, S / Pellecchia, A / Pompili, A / Pugliese, G / Radogna, R / Ramirez-Sanchez, G / Ramos, D / Ranieri, A / Silvestris, L / Simone, F M / Sözbilir, Ü / Stamerra, A / Venditti, R / Verwilligen, P / Zaza, A / Abbiendi, G / Battilana, C / Borgonovi, L / Campanini, R / Capiluppi, P / Castro, A / Cavallo, F R / Cuffiani, M / Dallavalle, G M / Diotalevi, T / Fabbri, F / Fanfani, A / Fasanella, D / Giacomelli, P / Giommi, L / Grandi, C / Guiducci, L / Lo Meo, S / Lunerti, L / Marcellini, S / Masetti, G / Navarria, F L / Perrotta, A / Primavera, F / Rossi, A M / Rovelli, T / Siroli, G P / Costa, S / Di Mattia, A / Potenza, R / Tricomi, A / Tuve, C / Barbagli, G / Bardelli, G / Camaiani, B / Cassese, A / Ceccarelli, R / Ciulli, V / Civinini, C / D'Alessandro, R / Focardi, E / Kello, T / Latino, G / Lenzi, P / Lizzo, M / Meschini, M / Paoletti, S / Papanastassiou, A / Sguazzoni, G / Viliani, L / Benussi, L / Bianco, S / Meola, S / Piccolo, D / Chatagnon, P / Ferro, F / Robutti, E / Tosi, S / Benaglia, A / Boldrini, G / Brivio, F / Cetorelli, F / De Guio, F / Dinardo, M E / Dini, P / Gennai, S / Gerosa, R / Ghezzi, A / Govoni, P / Guzzi, L / Lucchini, M T / Malberti, M / Malvezzi, S / Massironi, A / Menasce, D / Moroni, L / Paganoni, M / Pedrini, D / Pinolini, B S / Ragazzi, S / Tabarelli de Fatis, T / Zuolo, D / Buontempo, S / Cagnotta, A / Carnevali, F / Cavallo, N / De Iorio, A / Fabozzi, F / Iorio, A O M / Lista, L / Paolucci, P / Rossi, B / Sciacca, C / Ardino, R / Azzi, P / Bacchetta, N / Bisello, D / Bortignon, P / Bragagnolo, A / Carlin, R / Checchia, P / Dorigo, T / Fantinel, S / Fanzago, F / Gasparini, U / Grosso, G / Layer, L / Lusiani, E / Margoni, M / Migliorini, M / Pazzini, J / Ronchese, P / Rossin, R / Simonetto, F / Strong, G / Tosi, M / Triossi, A / Ventura, S / Yarar, H / Zanetti, M / Zotto, P / Zucchetta, A / Zumerle, G / Abu Zeid, S / Aimè, C / Braghieri, A / Calzaferri, S / Fiorina, D / Montagna, P / Re, V / Riccardi, C / Salvini, P / Vai, I / Vitulo, P / Ajmal, S / Asenov, P / Bilei, G M / Ciangottini, D / Fanò, L / Magherini, M / Mantovani, G / Mariani, V / Menichelli, M / Moscatelli, F / Piccinelli, A / Presilla, M / Rossi, A / Santocchia, A / Spiga, D / Tedeschi, T / Azzurri, P / Bagliesi, G / Bhattacharya, R / Bianchini, L / Boccali, T / Bossini, E / Bruschini, D / Castaldi, R / Ciocci, M A / Cipriani, M / D'Amante, V / Dell'Orso, R / Donato, S / Giassi, A / Ligabue, F / Matos Figueiredo, D / Messineo, A / Musich, M / Palla, F / Rizzi, A / Rolandi, G / Roy Chowdhury, S / Sarkar, T / Scribano, A / Spagnolo, P / Tenchini, R / Tonelli, G / Turini, N / Venturi, A / Verdini, P G / Barria, P / Campana, M / Cavallari, F / Cunqueiro Mendez, L / Del Re, D / Di Marco, E / Diemoz, M / Errico, F / Longo, E / Meridiani, P / Mijuskovic, J / Organtini, G / Pandolfi, F / Paramatti, R / Quaranta, C / Rahatlou, S / Rovelli, C / Santanastasio, F / Soffi, L / Amapane, N / Arcidiacono, R / Argiro, S / Arneodo, M / Bartosik, N / Bellan, R / Bellora, A / Biino, C / Cartiglia, N / Costa, M / Covarelli, R / Demaria, N / Finco, L / Grippo, M / Kiani, B / Legger, F / Luongo, F / Mariotti, C / Maselli, S / Mecca, A / Migliore, E / Monteno, M / Mulargia, R / Obertino, M M / Ortona, G / Pacher, L / Pastrone, N / Pelliccioni, M / Ruspa, M / Siviero, F / Sola, V / Solano, A / Soldi, D / Staiano, A / Tarricone, C / Tornago, M / Trocino, D / Umoret, G / Vlasov, E / Belforte, S / Candelise, V / Casarsa, M / Cossutti, F / De Leo, K / Della Ricca, G / Dogra, S / Hong, J / Huh, C / Kim, B / Kim, D H / Kim, J / Lee, H / Lee, S W / Moon, C S / Oh, Y D / Ryu, M S / Sekmen, S / Yang, Y C / Bak, G / Gwak, P / Kim, H / Moon, D H / Asilar, E / Kim, D / Kim, T J / Merlin, J A / Park, J / Choi, S / Han, S / Hong, B / Lee, K S / Lee, S / Park, S K / Yoo, J / Goh, J / Kim, H S / Kim, Y / Almond, J / Bhyun, J H / Jun, W / Kim, J S / Ko, S / Kwon, H / Lee, J / Oh, B H / Oh, S B / Seo, H / Yang, U K / Yoon, I / Jang, W / Kang, D Y / Kang, Y / Kim, S / Ko, B / Lee, J S H / Lee, Y / Park, I C / Roh, Y / Watson, I J / Yang, S / Ha, S / Yoo, H D / Choi, M / Kim, M R / Yu, I / Beyrouthy, T / Maghrbi, Y / Dreimanis, K / Gaile, A / Pikurs, G / Potrebko, A / Seidel, M / Veckalns, V / Strautnieks, N R / Ambrozas, M / Juodagalvis, A / Rinkevicius, A / 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    Physical review letters

    2024  Volume 132, Issue 6, Page(s) 61801

    Abstract: The first search for scalar leptoquarks produced in τ-lepton-quark collisions is presented. It is based on a set of proton-proton collision data recorded with the CMS detector at the LHC at a center-of-mass energy of 13 TeV corresponding to an integrated ...

    Abstract The first search for scalar leptoquarks produced in τ-lepton-quark collisions is presented. It is based on a set of proton-proton collision data recorded with the CMS detector at the LHC at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of 138  fb^{-1}. The reconstructed final state consists of a jet, significant missing transverse momentum, and a τ lepton reconstructed through its hadronic or leptonic decays. Limits are set on the product of the leptoquark production cross section and branching fraction and interpreted as exclusions in the plane of the leptoquark mass and the leptoquark-τ-quark coupling strength.
    Language English
    Publishing date 2024-02-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.132.061801
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Search for Inelastic Dark Matter in Events with Two Displaced Muons and Missing Transverse Momentum in Proton-Proton Collisions at sqrt[s]=13  TeV.

    Hayrapetyan, A / Tumasyan, A / Adam, W / Andrejkovic, J W / Bergauer, T / Chatterjee, S / Damanakis, K / Dragicevic, M / Escalante Del Valle, A / Hussain, P S / Jeitler, M / Krammer, N / Liko, D / Mikulec, I / Schieck, J / Schöfbeck, R / Schwarz, D / Sonawane, M / Templ, S /
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    Physical review letters

    2024  Volume 132, Issue 4, Page(s) 41802

    Abstract: A search for dark matter in events with a displaced nonresonant muon pair and missing transverse momentum is presented. The analysis is performed using an integrated luminosity of 138  fb^{-1} of proton-proton (pp) collision data at a center-of-mass ... ...

    Abstract A search for dark matter in events with a displaced nonresonant muon pair and missing transverse momentum is presented. The analysis is performed using an integrated luminosity of 138  fb^{-1} of proton-proton (pp) collision data at a center-of-mass energy of 13 TeV produced by the LHC in 2016-2018. No significant excess over the predicted backgrounds is observed. Upper limits are set on the product of the inelastic dark matter production cross section σ(pp→A^{'}→χ_{1}χ_{2}) and the decay branching fraction B(χ_{2}→χ_{1}μ^{+}μ^{-}), where A^{'} is a dark photon and χ_{1} and χ_{2} are states in the dark sector with near mass degeneracy. This is the first dedicated collider search for inelastic dark matter.
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.132.041802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Probing Small Bjorken-x Nuclear Gluonic Structure via Coherent J/ψ Photoproduction in Ultraperipheral Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

    Tumasyan, A / Adam, W / Andrejkovic, J W / Bergauer, T / Chatterjee, S / Damanakis, K / Dragicevic, M / Escalante Del Valle, A / Hussain, P S / Jeitler, M / Krammer, N / Lechner, L / Liko, D / Mikulec, I / Schieck, J / Schöfbeck, R / Schwarz, D / Sonawane, M / Templ, S /
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    Physical review letters

    2024  Volume 131, Issue 26, Page(s) 262301

    Abstract: Quasireal photons exchanged in relativistic heavy ion interactions are powerful probes of the gluonic structure of nuclei. The coherent J/ψ photoproduction cross section in ultraperipheral lead-lead collisions is measured as a function of photon-nucleus ... ...

    Abstract Quasireal photons exchanged in relativistic heavy ion interactions are powerful probes of the gluonic structure of nuclei. The coherent J/ψ photoproduction cross section in ultraperipheral lead-lead collisions is measured as a function of photon-nucleus center-of-mass energies per nucleon (W_{γN}^{Pb}) over a wide range of 40<W_{γN}^{Pb}<400  GeV. Results are obtained using data at the nucleon-nucleon center-of-mass energy of 5.02 TeV collected by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of 1.52  nb^{-1}. The cross section is observed to rise rapidly at low W_{γN}^{Pb}, and plateau above W_{γN}^{Pb}≈40  GeV, up to 400  GeV, entering a new regime of small Bjorken-x (≈6×10^{-5}) gluons being probed in a heavy nucleus. The observed energy dependence is not predicted by current quantum chromodynamic models.<br />
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.131.262301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: New Structures in the J/ψJ/ψ Mass Spectrum in Proton-Proton Collisions at sqrt[s]=13  TeV.

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    Physical review letters

    2024  Volume 132, Issue 11, Page(s) 111901

    Abstract: A search is reported for near-threshold structures in the J/ψJ/ψ invariant mass spectrum produced in proton-proton collisions at sqrt[s]=13  TeV from data collected by the CMS experiment, corresponding to an integrated luminosity of 135  fb^{-1}. Three ... ...

    Abstract A search is reported for near-threshold structures in the J/ψJ/ψ invariant mass spectrum produced in proton-proton collisions at sqrt[s]=13  TeV from data collected by the CMS experiment, corresponding to an integrated luminosity of 135  fb^{-1}. Three structures are found, and a model with quantum interference among these structures provides a good description of the data. A new structure is observed with a local significance above 5 standard deviations at a mass of 6638_{-38}^{+43}(stat)_{-31}^{+16}(syst)  MeV. Another structure with even higher significance is found at a mass of 6847_{-28}^{+44}(stat)_{-20}^{+48}(syst)  MeV, which is consistent with the X(6900) resonance reported by the LHCb experiment and confirmed by the ATLAS experiment. Evidence for another new structure, with a local significance of 4.7 standard deviations, is found at a mass of 7134_{-25}^{+48}(stat)_{-15}^{+41}(syst)  MeV. Results are also reported for a model without interference, which does not fit the data as well and shows mass shifts up to 150 MeV relative to the model with interference.
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.132.111901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Observation of WWγ Production and Search for Hγ Production in Proton-Proton Collisions at sqrt[s]=13  TeV.

    Hayrapetyan, A / Tumasyan, A / Adam, W / Andrejkovic, J W / Bergauer, T / Chatterjee, S / Damanakis, K / Dragicevic, M / Escalante Del Valle, A / Hussain, P S / Jeitler, M / Krammer, N / Liko, D / Mikulec, I / Schieck, J / Schöfbeck, R / Schwarz, D / Sonawane, M / Templ, S /
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    Physical review letters

    2024  Volume 132, Issue 12, Page(s) 121901

    Abstract: The observation of WWγ production in proton-proton collisions at a center-of-mass energy of 13 TeV with an integrated luminosity of 138  fb^{-1} is presented. The observed (expected) significance is 5.6 (5.1) standard deviations. Events are selected by ... ...

    Abstract The observation of WWγ production in proton-proton collisions at a center-of-mass energy of 13 TeV with an integrated luminosity of 138  fb^{-1} is presented. The observed (expected) significance is 5.6 (5.1) standard deviations. Events are selected by requiring exactly two leptons (one electron and one muon) of opposite charge, moderate missing transverse momentum, and a photon. The measured fiducial cross section for WWγ is 5.9±0.8(stat)±0.8(syst)±0.7(modeling)  fb, in agreement with the next-to-leading order quantum chromodynamics prediction. The analysis is extended with a search for the associated production of the Higgs boson and a photon, which is generated by a coupling of the Higgs boson to light quarks. The result is used to constrain the Higgs boson couplings to light quarks.
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.132.121901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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