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Article ; Online: Editorial: Innovative Analysis Ecosystems for HEP Data.

Sekmen, Sezen / Innocenti, Gian Michele / Jayatilaka, Bo

Frontiers in big data

2021 Volume 4, Page(s) 736105

Abstract: This editorial summarizes the contributions to the Frontiers Research topic "Innovative Analysis Ecosystems for HEP Data", established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in ...

Abstract	This editorial summarizes the contributions to the Frontiers Research topic "Innovative Analysis Ecosystems for HEP Data", established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.
Language	English
Publishing date	2021-08-05
Publishing country	Switzerland
Document type	Editorial
ISSN	2624-909X
ISSN (online)	2624-909X
DOI	10.3389/fdata.2021.736105
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Article: Diurnal sheltering preferences and associated conservation management for the endangered sandhill dunnart,

Riley, Joanna / Turpin, Jeff M / Zeale, Matt R K / Jayatilaka, Brynne / Jones, Gareth

Journal of mammalogy

2021 Volume 102, Issue 2, Page(s) 588–602

Abstract: Dasyurids are small mammals that can conserve energy and water by using shelters that insulate against extreme conditions, prevent predation, and facilitate torpor. To quantify the diurnal sheltering requirements of a poorly known, endangered dasyurid, ... ...

Abstract	Dasyurids are small mammals that can conserve energy and water by using shelters that insulate against extreme conditions, prevent predation, and facilitate torpor. To quantify the diurnal sheltering requirements of a poorly known, endangered dasyurid, the sandhill dunnart,
Language	English
Publishing date	2021-04-23
Publishing country	England
Document type	Journal Article
ZDB-ID	218314-6
ISSN	0022-2372
ISSN	0022-2372
DOI	10.1093/jmammal/gyab024
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Article: Reaching across organizational boundaries for new ideas: innovation from IT outsourcing vendors

Jayatilaka, Bandula

Information systems outsourcing , p. 255-275

2009 , Page(s) 255–275

Author's details	Bandula Jayatilaka
Keywords	IT-Dienstleister ; Lieferantenmanagement ; Innovation ; Transaktionskosten
Language	English
Size	graph. Darst.
Publisher	Springer
Publishing place	Berlin [u.a.]
Document type	Article
Database	ECONomics Information System

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Article: IT sourcing a dynamic phenomena

Jayatilaka, Bandula

Information systems outsourcing : enduring themes, new perspectives and global challenges ; with 71 tables , p. 101-134

forming an institutional theory perspective

2006 , Page(s) 101–134

Author's details	Bandula Jayatilaka
Keywords	Betriebliches Informationssystem ; Make-or- Buy-Entscheidung ; Organisationstheorie ; Theorie ; Welt
Language	English
Size	graph. Darst.
Publisher	Springer
Publishing place	Berlin [u. a.]
Document type	Article
Note	Literaturangaben
Database	ECONomics Information System

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Article: IT sourcing

Jayatilaka, Bandula

Information systems outsourcing : enduring themes, emergent patterns and future directions

a dynamic phenomenon: forming an institutional theory perspective

2002

Author's details	Bandula Jayatilaka
Language	English
Publisher	Springer
Publishing place	Berlin [u.a.]
Document type	Article
Note	Literaturangaben
Database	ECONomics Information System

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Book ; Online: Coffea -- Columnar Object Framework For Effective Analysis

Smith, Nicholas / Gray, Lindsey / Cremonesi, Matteo / Jayatilaka, Bo / Gutsche, Oliver / Hall, Allison / Pedro, Kevin / Acosta, Maria / Melo, Andrew / Belforte, Stefano / Pivarski, Jim

2020

Abstract: The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility of analysis. It is implemented with the Python programming language, the ... ...

Abstract	The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility of analysis. It is implemented with the Python programming language, the scientific python package ecosystem, and commodity big data technologies. To achieve this suite of improvements across many use cases, coffea takes a factorized approach, separating the analysis implementation and data delivery scheme. All analysis operations are implemented using the NumPy or awkward-array packages which are wrapped to yield user code whose purpose is quickly intuited. Various data delivery schemes are wrapped into a common front-end which accepts user inputs and code, and returns user defined outputs. We will discuss our experience in implementing analysis of CMS data using the coffea framework along with a discussion of the user experience and future directions. Comment: As presented at CHEP 2019
Keywords	Computer Science - Distributed ; Parallel ; and Cluster Computing ; High Energy Physics - Experiment
Subject code	005
Publishing date	2020-08-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Using Big Data Technologies for HEP Analysis

2019

Abstract: The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets could ... ...

Abstract	The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets could potentially become a limiting factor in the capability to produce scientific results timely and efficiently. Recently, new technologies and new approaches have been developed in industry to answer to the necessity to retrieve information as quickly as possible to analyze PB and EB datasets. Providing the scientists with these modern computing tools will lead to rethinking the principles of data analysis in HEP, making the overall scientific process faster and smoother. In this paper, we are presenting the latest developments and the most recent results on the usage of Apache Spark for HEP analysis. The study aims at evaluating the efficiency of the application of the new tools both quantitatively, by measuring the performances, and qualitatively, focusing on the user experience. The first goal is achieved by developing a data reduction facility: working together with CERN Openlab and Intel, CMS replicates a real physics search using Spark-based technologies, with the ambition of reducing 1 PB of public data in 5 hours, collected by the CMS experiment, to 1 TB of data in a format suitable for physics analysis. The second goal is achieved by implementing multiple physics use-cases in Apache Spark using as input preprocessed datasets derived from official CMS data and simulation. By performing different end-analyses up to the publication plots on different hardware, feasibility, usability and portability are compared to the ones of a traditional ROOT-based workflow.
Keywords	Computer Science - Distributed ; Parallel ; and Cluster Computing
Subject code	020
Publishing date	2019-01-21
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: High-precision measurement of the

Aaltonen, T / Amerio, S / Amidei, D / Anastassov, A / Annovi, A / Antos, J / Apollinari, G / Appel, J A / Arisawa, T / Artikov, A / Asaadi, J / Ashmanskas, W / Auerbach, B / Aurisano, A / Azfar, F / Badgett, W / Bae, T / Barbaro-Galtieri, A / Barnes, V E /

Barnett, B A / Barria, P / Bartos, P / Bauce, M / Bedeschi, F / Behari, S / Bellettini, G / Bellinger, J / Benjamin, D / Beretvas, A / Bhatti, A / Bland, K R / Blumenfeld, B / Bocci, A / Bodek, A / Bortoletto, D / Boudreau, J / Boveia, A / Brigliadori, L / Bromberg, C / Brucken, E / Budagov, J / Budd, H S / Burkett, K / Busetto, G / Bussey, P / Butti, P / Buzatu, A / Calamba, A / Camarda, S / Campanelli, M / Carls, B / Carlsmith, D / Carosi, R / Carrillo, S / Casal, B / Casarsa, M / Castro, A / Catastini, P / Cauz, D / Cavaliere, V / Cerri, A / Cerrito, L / Chen, Y C / Chertok, M / Chiarelli, G / Chlachidze, G / Cho, K / Chokheli, D / Clark, A / Clarke, C / Convery, M E / Conway, J / Corbo, M / Cordelli, M / Cox, C A / Cox, D J / Cremonesi, M / Cruz, D / Cuevas, J / Culbertson, R / d'Ascenzo, N / Datta, M / de Barbaro, P / Demortier, L / Deninno, M / D'Errico, M / Devoto, F / Di Canto, A / Di Ruzza, B / Dittmann, J R / Donati, S / D'Onofrio, M / Dorigo, M / Driutti, A / Ebina, K / Edgar, R / Elagin, A / Erbacher, R / Errede, S / Esham, B / Farrington, S / Fernández Ramos, J P / Field, R / Flanagan, G / Forrest, R / Franklin, M / Freeman, J C / Frisch, H / Funakoshi, Y / Galloni, C / Garfinkel, A F / Garosi, P / Gerberich, H / Gerchtein, E / Giagu, S / Giakoumopoulou, V / Gibson, K / Ginsburg, C M / Giokaris, N / Giromini, P / Glagolev, V / Glenzinski, D / Gold, M / Goldin, D / Golossanov, A / Gomez, G / Gomez-Ceballos, G / Goncharov, M / González López, O / Gorelov, I / Goshaw, A T / Goulianos, K / Gramellini, E / Grosso-Pilcher, C / Guimaraes da Costa, J / Hahn, S R / Han, J Y / Happacher, F / Hara, K / Hare, M / Harr, R F / Harrington-Taber, T / Hatakeyama, K / Hays, C / Heinrich, J / Herndon, M / Hocker, A / Hong, Z / Hopkins, W / Hou, S / Hughes, R E / Husemann, U / Hussein, M / Huston, J / Introzzi, G / Iori, M / Ivanov, A / James, E / Jang, D / Jayatilaka, B / Jeon, E J / Jindariani, S / Jones, M / Joo, K K / Jun, S Y / Junk, T R / Kambeitz, M / Kamon, T / Karchin, P E / Kasmi, A / Kato, Y / Ketchum, W / Keung, J / Kilminster, B / Kim, D H / Kim, H S / Kim, J E / Kim, M J / Kim, S H / Kim, S B / Kim, Y J / Kim, Y K / Kimura, N / Kirby, M / Kondo, K / Kong, D J / Konigsberg, J / Kotwal, A V / Kreps, M / Kroll, J / Kruse, M / Kuhr, T / Kurata, M / Laasanen, A T / Lammel, S / Lancaster, M / Lannon, K / Latino, G / Lee, H S / Lee, J S / Leo, S / Leone, S / Lewis, J D / Limosani, A / Lipeles, E / Lister, A / Liu, Q / Liu, T / Lockwitz, S / Loginov, A / Lucchesi, D / Lucà, A / Lueck, J / Lujan, P / Lukens, P / Lungu, G / Lys, J / Lysak, R / Madrak, R / Maestro, P / Malik, S / Manca, G / Manousakis-Katsikakis, A / Marchese, L / Margaroli, F / Marino, P / Matera, K / Mattson, M E / Mazzacane, A / Mazzanti, P / McNulty, R / Mehta, A / Mehtala, P / Menzione, A / Mesropian, C / Miao, T / Michielin, E / Mietlicki, D / Mitra, A / Miyake, H / Moed, S / Moggi, N / Moon, C S / Moore, R / Morello, M J / Mukherjee, A / Muller, Th / Murat, P / Mussini, M / Nachtman, J / Nagai, Y / Naganoma, J / Nakano, I / Napier, A / Nett, J / Nigmanov, T / Nodulman, L / Noh, S Y / Norniella, O / Oakes, L / Oh, S H / Oh, Y D / Okusawa, T / Orava, R / Ortolan, L / Pagliarone, C / Palencia, E / Palni, P / Papadimitriou, V / Parker, W / Pauletta, G / Paulini, M / Paus, C / Phillips, T J / Piacentino, G / Pianori, E / Pilot, J / Pitts, K / Plager, C / Pondrom, L / Poprocki, S / Potamianos, K / Pranko, A / Prokoshin, F / Ptohos, F / Punzi, G / Redondo Fernández, I / Renton, P / Rescigno, M / Rimondi, F / Ristori, L / Robson, A / Rodriguez, T / Rolli, S / Ronzani, M / Roser, R / Rosner, J L / Ruffini, F / Ruiz, A / Russ, J / Rusu, V / Sakumoto, W K / Sakurai, Y / Santi, L / Sato, K / Saveliev, V / Savoy-Navarro, A / Schlabach, P / Schmidt, E E / Schwarz, T / Scodellaro, L / Scuri, F / Seidel, S / Seiya, Y / Semenov, A / Sforza, F / Shalhout, S Z / Shears, T / Shepard, P F / Shimojima, M / Shochet, M / Shreyber-Tecker, I / Simonenko, A / Sliwa, K / Smith, J R / Snider, F D / Song, H / Sorin, V / St Denis, R / Stancari, M / Stentz, D / Strologas, J / Sudo, Y / Sukhanov, A / Suslov, I / Takemasa, K / Takeuchi, Y / Tang, J / Tecchio, M / Teng, P K / Thom, J / Thomson, E / Thukral, V / Toback, D / Tokar, S / Tollefson, K / Tomura, T / Torre, S / Torretta, D / Totaro, P / Trovato, M / Ukegawa, F / Uozumi, S / Vázquez, F / Velev, G / Vellidis, K / Vernieri, C / Vidal, M / Vilar, R / Vizán, J / Vogel, M / Volpi, G / Wagner, P / Wallny, R / Wang, S M / Waters, D / Wester, W C / Whiteson, D / Wicklund, A B / Wilbur, S / Williams, H H / Wilson, J S / Wilson, P / Winer, B L / Wittich, P / Wolbers, S / Wolfmeister, H / Wright, T / Wu, X / Wu, Z / Yamamoto, K / Yamato, D / Yang, T / Yang, U K / Yang, Y C / Yao, W-M / Yeh, G P / Yi, K / Yoh, J / Yorita, K / Yoshida, T / Yu, G B / Yu, I / Zanetti, A M / Zeng, Y / Zhou, C / Zucchelli, S

Science (New York, N.Y.)

2022 Volume 376, Issue 6589, Page(s) 170–176

Abstract: The mass of ... ...

Abstract	The mass of the
Language	English
Publishing date	2022-04-07
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	128410-1
ISSN	1095-9203 ; 0036-8075
ISSN (online)	1095-9203
ISSN	0036-8075
DOI	10.1126/science.abk1781
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Article ; Online: Search for the Exotic Meson X(5568) with the Collider Detector at Fermilab.

Barnett, B A / Barria, P / Bartos, P / Bauce, M / Bedeschi, F / Behari, S / Bellettini, G / Bellinger, J / Benjamin, D / Beretvas, A / Bhatti, A / Bland, K R / Blumenfeld, B / Bocci, A / Bodek, A / Bortoletto, D / Boudreau, J / Boveia, A / Brigliadori, L / Bromberg, C / Brucken, E / Budagov, J / Budd, H S / Burkett, K / Busetto, G / Bussey, P / Butti, P / Buzatu, A / Calamba, A / Camarda, S / Campanelli, M / Canelli, F / Carls, B / Carlsmith, D / Carosi, R / Carrillo, S / Casal, B / Casarsa, M / Castro, A / Catastini, P / Cauz, D / Cavaliere, V / Cerri, A / Cerrito, L / Chen, Y C / Chertok, M / Chiarelli, G / Chlachidze, G / Cho, K / Chokheli, D / Clark, A / Clarke, C / Convery, M E / Conway, J / Corbo, M / Cordelli, M / Cox, C A / Cox, D J / Cremonesi, M / Cruz, D / Cuevas, J / Culbertson, R / d'Ascenzo, N / Datta, M / de Barbaro, P / Demortier, L / Deninno, M / D'Errico, M / Devoto, F / Di Canto, A / Di Ruzza, B / Dittmann, J R / Donati, S / D'Onofrio, M / Dorigo, M / Driutti, A / Ebina, K / Edgar, R / Elagin, A / Erbacher, R / Errede, S / Esham, B / Farrington, S / Fernández Ramos, J P / Field, R / Flanagan, G / Forrest, R / Franklin, M / Freeman, J C / Frisch, H / Funakoshi, Y / Galloni, C / Garfinkel, A F / Garosi, P / Gerberich, H / Gerchtein, E / Giagu, S / Giakoumopoulou, V / Gibson, K / Ginsburg, C M / Giokaris, N / Giromini, P / Glagolev, V / Glenzinski, D / Gold, M / Goldin, D / Golossanov, A / Gomez, G / Gomez-Ceballos, G / Goncharov, M / González López, O / Gorelov, I / Goshaw, A T / Goulianos, K / Gramellini, E / Grosso-Pilcher, C / Guimaraes da Costa, J / Hahn, S R / Han, J Y / Happacher, F / Hara, K / Hare, M / Harr, R F / Harrington-Taber, T / Hatakeyama, K / Hays, C / Heinrich, J / Herndon, M / Hocker, A / Hong, Z / Hopkins, W / Hou, S / Hughes, R E / Husemann, U / Hussein, M / Huston, J / Introzzi, G / Iori, M / Ivanov, A / James, E / Jang, D / Jayatilaka, B / Jeon, E J / Jindariani, S / Jones, M / Joo, K K / Jun, S Y / Junk, T R / Kambeitz, M / Kamon, T / Karchin, P E / Kasmi, A / Kato, Y / Ketchum, W / Keung, J / Kilminster, B / Kim, D H / Kim, H S / Kim, J E / Kim, M J / Kim, S H / Kim, S B / Kim, Y J / Kim, Y K / Kimura, N / Kirby, M / Kondo, K / Kong, D J / Konigsberg, J / Kotwal, A V / Kreps, M / Kroll, J / Kruse, M / Kuhr, T / Kurata, M / Laasanen, A T / Lammel, S / Lancaster, M / Lannon, K / Latino, G / Lee, H S / Lee, J S / Leo, S / Leone, S / Lewis, J D / Limosani, A / Lipeles, E / Lister, A / Liu, Q / Liu, T / Lockwitz, S / Loginov, A / Lucchesi, D / Lucà, A / Lueck, J / Lujan, P / Lukens, P / Lungu, G / Lys, J / Lysak, R / Madrak, R / Maestro, P / Malik, S / Manca, G / Manousakis-Katsikakis, A / Marchese, L / Margaroli, F / Marino, P / Matera, K / Mattson, M E / Mazzacane, A / Mazzanti, P / McNulty, R / Mehta, A / Mehtala, P / Mesropian, C / Miao, T / Mietlicki, D / Mitra, A / Miyake, H / Moed, S / Moggi, N / Moon, C S / Moore, R / Morello, M J / Mukherjee, A / Muller, Th / Murat, P / Mussini, M / Nachtman, J / Nagai, Y / Naganoma, J / Nakano, I / Napier, A / Nett, J / Nigmanov, T / Nodulman, L / Noh, S Y / Norniella, O / Oakes, L / Oh, S H / Oh, Y D / Okusawa, T / Orava, R / Ortolan, L / Pagliarone, C / Palencia, E / Palni, P / Papadimitriou, V / Parker, W / Pauletta, G / Paulini, M / Paus, C / Phillips, T J / Piacentino, G / Pianori, E / Pilot, J / Pitts, K / Plager, C / Pondrom, L / Poprocki, S / Potamianos, K / Pranko, A / Prokoshin, F / Ptohos, F / Punzi, G / Redondo Fernández, I / Renton, P / Rescigno, M / Rimondi, F / Ristori, L / Robson, A / Rodriguez, T / Rolli, S / Ronzani, M / Roser, R / Rosner, J L / Ruffini, F / Ruiz, A / Russ, J / Rusu, V / Sakumoto, W K / Sakurai, Y / Santi, L / Sato, K / Saveliev, V / Savoy-Navarro, A / Schlabach, P / Schmidt, E E / Schwarz, T / Scodellaro, L / Scuri, F / Seidel, S / Seiya, Y / Semenov, A / Sforza, F / Shalhout, S Z / Shears, T / Shepard, P F / Shimojima, M / Shochet, M / Shreyber-Tecker, I / Simonenko, A / Sliwa, K / Smith, J R / Snider, F D / Song, H / Sorin, V / St Denis, R / Stancari, M / Stentz, D / Strologas, J / Sudo, Y / Sukhanov, A / Suslov, I / Takemasa, K / Takeuchi, Y / Tang, J / Tecchio, M / Teng, P K / Thom, J / Thomson, E / Thukral, V / Toback, D / Tokar, S / Tollefson, K / Tomura, T / Tonelli, D / Torre, S / Torretta, D / Totaro, P / Trovato, M / Ukegawa, F / Uozumi, S / Vázquez, F / Velev, G / Vellidis, C / Vernieri, C / Vidal, M / Vilar, R / Vizán, J / Vogel, M / Volpi, G / Wagner, P / Wallny, R / Wang, S M / Waters, D / Wester, W C / Whiteson, D / Wicklund, A B / Wilbur, S / Williams, H H / Wilson, J S / Wilson, P / Winer, B L / Wittich, P / Wolbers, S / Wolfmeister, H / Wright, T / Wu, X / Wu, Z / Yamamoto, K / Yamato, D / Yang, T / Yang, U K / Yang, Y C / Yao, W-M / Yeh, G P / Yi, K / Yoh, J / Yorita, K / Yoshida, T / Yu, G B / Yu, I / Zanetti, A M / Zeng, Y / Zhou, C / Zucchelli, S

Physical review letters

2018 Volume 120, Issue 20, Page(s) 202006

Abstract: A search for the exotic meson X(5568) decaying into the B_{s}^{0}π^{±} final state is performed using data corresponding to 9.6 fb^{-1} from pp[over ¯] collisions at sqrt[s]=1960 GeV recorded by the Collider Detector at Fermilab. No evidence for this ... ...

Abstract	A search for the exotic meson X(5568) decaying into the B_{s}^{0}π^{±} final state is performed using data corresponding to 9.6 fb^{-1} from pp[over ¯] collisions at sqrt[s]=1960 GeV recorded by the Collider Detector at Fermilab. No evidence for this state is found and an upper limit of 6.7% at the 95% confidence level is set on the fraction of B_{s}^{0} produced through the X(5568)→B_{s}^{0}π^{±} process.
Language	English
Publishing date	2018-05-18
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.120.202006
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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 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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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