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1. Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments

Author

Besta, Maciej, Gerstenberger, Robert, Iff, Patrick, Sonawane, Pournima, Luna, Juan Gómez, Kanakagiri, Raghavendra, Min, Rui, Mutlu, Onur, Hoefler, Torsten, Appuswamy, Raja, and Mahony, Aidan O

Subjects
Computer Science - Information Retrieval, Computer Science - Performance
Abstract

Knowledge graphs (KGs) have achieved significant attention in recent years, particularly in the area of the Semantic Web as well as gaining popularity in other application domains such as data mining and search engines. Simultaneously, there has been enormous progress in the development of different types of heterogeneous hardware, impacting the way KGs are processed. The aim of this paper is to provide a systematic literature review of knowledge graph hardware acceleration. For this, we present a classification of the primary areas in knowledge graph technology that harnesses different hardware units for accelerating certain knowledge graph functionalities. We then extensively describe respective works, focusing on how KG related schemes harness modern hardware accelerators. Based on our review, we identify various research gaps and future exploratory directions that are anticipated to be of significant value both for academics and industry practitioners.

Published
2024

2. High Strain Rate Compressive Deformation Behavior of Nickel Microparticles

Author

Bellón, Bárbara, Bhaskar, Lalith Kumar, Brink, Tobias, Aymerich-Armengol, Raquel, Sonawane, Dipali, Chatain, Dominique, Dehm, Gerhard, and Ramachandramoorthy, Rajaprakash

Subjects
Condensed Matter - Materials Science
Abstract

Understanding the mechanical properties of metals at extreme conditions is essential for the advancement of miniaturized technologies. As dimensions decrease, materials will experience higher strain rates at the same applied velocities. Moreover, the interplay effects of strain rates and temperatures are often overlooked and could have critical effects in applications. In this study, for the first time, the rate-dependent and temperature-dependent mechanical response of nickel microparticles have been investigated. The microparticles were obtained by solid-state dewetting of nickel thin films deposited on c-sapphire. They exhibit self-similar shapes with identical sets of planes, facilitating straightforward comparison between particles. This research represents the first in-depth analysis of the mechanical properties of nickel single crystal dewetted microparticles across six orders of magnitude at room temperature and three orders of magnitude at 128 K. Molecular dynamic simulations (MD) were conducted in parallel on particles with the same faceting. In this work, the gap between experiments and simulations has been reduced to over one order of magnitude in size and 3 orders of magnitude in the strain rates. The thermal activation parameter analysis and MD simulations were employed to ascertain whether homogeneous or heterogeneous dislocation nucleation was the dominant mechanism controlling deformation in the particles., Comment: 18 pages (29 in total with supplementary information), 4 figures, 21 Supplementary figures

Published
2024

3. Combination of Measurements of the Top Quark Mass from Data Collected by the ATLAS and CMS Experiments at s=7 and 8 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Hussain, PS, Jeitler, M, Krammer, N, Li, A, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D’Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, Bemden, M Vanden, 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, van der Linden, J, Wezenbeek, L, Benecke, A, Bruno, G, Caputo, C, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, De Souza, R Gomes, Martins, J, and Herrera, C Mora

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, CMS Collaboration†, ATLAS Collaboration‡, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20  fb^{-1} of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is m_{t}=172.52±0.14(stat)±0.30(syst)  GeV, with a total uncertainty of 0.33 GeV.

Published
2024

4. Detecting Deceptive Dark Patterns in E-commerce Platforms

Author

Ramteke, Arya, Tembhurne, Sankalp, Sonawane, Gunesh, and Bhimanpallewar, Ratnmala N.

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction
Abstract

Dark patterns are deceptive user interfaces employed by e-commerce websites to manipulate user's behavior in a way that benefits the website, often unethically. This study investigates the detection of such dark patterns. Existing solutions include UIGuard, which uses computer vision and natural language processing, and approaches that categorize dark patterns based on detectability or utilize machine learning models trained on datasets. We propose combining web scraping techniques with fine-tuned BERT language models and generative capabilities to identify dark patterns, including outliers. The approach scrapes textual content, feeds it into the BERT model for detection, and leverages BERT's bidirectional analysis and generation abilities. The study builds upon research on automatically detecting and explaining dark patterns, aiming to raise awareness and protect consumers.

Published
2024

5. Human Activity Recognition using Smartphones

Author

Sonawane, Mayur, Dhayalkar, Sahil Rajesh, Waje, Siddesh, Markhelkar, Soyal, Wattamwar, Akshay, and Shrawne, Seema C.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Human Activity Recognition is a subject of great research today and has its applications in remote healthcare, activity tracking of the elderly or the disables, calories burnt tracking etc. In our project, we have created an Android application that recognizes the daily human activities and calculate the calories burnt in real time. We first captured labeled triaxial acceleration readings for different daily human activities from the smartphone's embedded accelerometer. These readings were preprocessed using a median filter. 42 features were extracted using various methods. We then tested various machine learning algorithms along with dimensionality reduction. Finally, in our Android application, we used the machine learning algorithm and a subset of features that provided maximum accuracy and minimum model building time. This is used for real-time activity recognition and calculation of calories burnt using a formula based on Metabolic Equivalent.

Published
2024

6. Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance

Author

Wang, Andrew Y., Lin, Sherman, Tran, Christopher, Homer, Robert J., Wilsdon, Dan, Walsh, Joanna C., Goebel, Emily A., Sansano, Irene, Sonawane, Snehal, Cockenpot, Vincent, Mukhopadhyay, Sanjay, Taskin, Toros, Zahra, Nusrat, Cima, Luca, Semerci, Orhan, Ozamrak, Birsen Gizem, Mishra, Pallavi, Vennavalli, Naga Sarika, Chen, Po-Hsuan Cameron, and Cecchini, Matthew J.

Subjects
Artificial intelligence, Decision support software, Technology application, Clinical pathology -- Technology application, Artificial intelligence -- Usage, Decision support systems -- Usage
Abstract

* Context.-Artificial intelligence algorithms hold the potential to fundamentally change many aspects of society. Application of these tools, including the publicly available ChatGPT, has demonstrated impressive domain-specific knowledge in many areas, including medicine. Objectives.-To understand the level of pathology domain-specific knowledge for ChatGPT using different underlying large language models, GPT-3.5 and the updated GPT-4. Design.-An international group of pathologists (n = 15) was recruited to generate pathology-specific questions at a similar level to those that could be seen on licensing (board) examinations. The questions (n = 15) were answered by GPT-3.5, GPT-4, and a staff pathologist who recently passed their Canadian pathology licensing exams. Participants were instructed to score answers on a 5-point scale and to predict which answer was written by ChatGPT. Results.-GPT-3.5 performed at a similar level to the staff pathologist, while GPT-4 outperformed both. The overall score for both GPT-3.5 and GPT-4 was within the range of meeting expectations for a trainee writing licensing examinations. In all but one question, the reviewers were able to correctly identify the answers generated by GPT-3.5. Conclusions.-By demonstrating the ability of ChatGPT to answer pathology-specific questions at a level similar to (GPT-3.5) or exceeding (GPT-4) a trained pathologist, this study highlights the potential of large language models to be transformative in this space. In the future, more advanced iterations of these algorithms with increased domain-specific knowledge may have the potential to assist pathologists and enhance pathology resident training. (Arch Pathol Lab Med. 2024;148:1152-1158; doi: 10.5858/arpa.2023-0296-OA), Rapid technological advancements in molecular pathology and a continuously growing body of knowledge have resulted in an unprecedented increase in diagnostic complexity for pathologists. (1) This presents a challenge for [...]

Published
2024
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14. A Survey on Game Theory Optimal Poker

Author

Sonawane, Prathamesh and Chheda, Arav

Subjects
Computer Science - Computer Science and Game Theory, Computer Science - Artificial Intelligence
Abstract

Poker is in the family of imperfect information games unlike other games such as chess, connect four, etc which are perfect information game instead. While many perfect information games have been solved, no non-trivial imperfect information game has been solved to date. This makes poker a great test bed for Artificial Intelligence research. In this paper we firstly compare Game theory optimal poker to Exploitative poker. Secondly, we discuss the intricacies of abstraction techniques, betting models, and specific strategies employed by successful poker bots like Tartanian[1] and Pluribus[6]. Thirdly, we also explore 2-player vs multi-player games and the limitations that come when playing with more players. Finally, this paper discusses the role of machine learning and theoretical approaches in developing winning strategies and suggests future directions for this rapidly evolving field.

Published
2024

15. Search for flavor changing neutral current interactions of the top quark in final states with a photon and additional jets in proton-proton collisions at s=13 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D’Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, Bemden, M Vanden, 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, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, Martins, J, Herrera, C Mora, Amarilo, K Mota, and Mundim, L

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Mathematical Physics, Mathematical Sciences, Physical Sciences
Abstract

A search for the production of a top quark in association with a photon and additional jets via flavor changing neutral current interactions is presented. The analysis uses proton-proton collision data recorded by the CMS detector at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of Formula Presented. The search is performed by looking for processes where a single top quark is produced in association with a photon, or a pair of top quarks where one of the top quarks decays into a photon and an up or charm quark. Events with an electron or a muon, a photon, one or more jets, and missing transverse momentum are selected. Multivariate analysis techniques are used to discriminate signal and standard model background processes. No significant deviation is observed over the predicted background. Observed (expected) upper limits are set on the branching fractions of top quark decays: Formula Presented (Formula Presented) and Formula Presented (Formula Presented) at 95% confidence level, assuming a single nonzero coupling at a time. The obtained limit for Formula Presented is similar to the current best limit, while the limit for Formula Presented is significantly tighter than previous results.

Published
2024

16. Search for supersymmetry in final states with disappearing tracks in proton-proton collisions at s=13 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D’Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, Bemden, M Vanden, 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, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, Martins, J, Herrera, C Mora, Amarilo, K Mota, and Mundim, L

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences
Abstract

A search is presented for charged, long-lived supersymmetric particles in final states with one or more disappearing tracks. The search is based on data from proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the CERN LHC between 2016 and 2018, corresponding to an integrated luminosity of Formula Presented. The search is performed over final states characterized by varying numbers of jets, Formula Presented-tagged jets, electrons, and muons. The length of signal-candidate tracks in the plane perpendicular to the beam axis is used to characterize the lifetimes of wino- and Higgsino-like charginos produced in the context of the minimal supersymmetric standard model. The Formula Presented energy loss of signal-candidate tracks is used to increase the sensitivity to charginos with a large mass and thus a small Lorentz boost. The observed results are found to be statistically consistent with the background-only hypothesis. Limits on the pair-production cross section of gluinos and squarks are presented in the framework of simplified models of supersymmetric particle production and decay, and for electroweakino production based on models of wino and Higgsino dark matter. The limits presented are the most stringent to date for scenarios with light third-generation squarks and a wino- or Higgsino-like dark matter candidate capable of explaining the observed dark matter relic density.

Published
2024

17. Search for new Higgs bosons via same-sign top quark pair production in association with a jet in proton-proton collisions at s = 13 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Hussain, PS, Jeitler, M, Krammer, N, Li, A, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D'Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, Bemden, M Vanden, 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, van der Linden, J, Wezenbeek, L, Benecke, A, Bruno, G, Caputo, C, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, Martins, J, Herrera, C Mora, and Amarilo, K Mota

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, CMS, Top quarks, Extra Higgs boson, Yukawa couplings, Mathematical Physics, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics, Mathematical sciences, Physical sciences
Abstract

A search is presented for new Higgs bosons in proton-proton (pp) collision events in which a same-sign top quark pair is produced in association with a jet, via the pp→tH/A→ttc‾ and pp→tH/A→ttu‾ processes. Here, H and A represent the extra scalar and pseudoscalar boson, respectively, of the second Higgs doublet in the generalized two-Higgs-doublet model (g2HDM). The search is based on pp collision data collected at a center-of-mass energy of 13 TeV with the CMS detector at the LHC, corresponding to an integrated luminosity of 138 fb−1. Final states with a same-sign lepton pair in association with jets and missing transverse momentum are considered. New Higgs bosons in the 200–1000 GeV mass range and new Yukawa couplings between 0.1 and 1.0 are targeted in the search, for scenarios in which either H or A appear alone, or in which they coexist and interfere. No significant excess above the standard model prediction is observed. Exclusion limits are derived in the context of the g2HDM.

Published
2024

18. Measurements of azimuthal anisotropy of nonprompt D0 mesons in PbPb collisions at s NN = 5.02 TeV

Author

Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Pitters, FM, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Kello, T, Sfar, H Rejeb, Van Mechelen, P, Bols, ES, D'Hondt, J, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Moortgat, S, Morton, A, Müller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Vannerom, D, Clerbaux, B, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Lee, K, Mahdavikhorrami, M, Makarenko, I, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Bemden, M Vanden, Vander Velde, C, Vanlaer, P, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Tytgat, M, Van Den Bossche, N, Vermassen, B, Wezenbeek, L, Benecke, A, Bruno, G, Bury, F, Caputo, C, David, P, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Mondal, K, Taliercio, A, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Moraes, A, Teles, P Rebello, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, Dos Santos Sousa, V, and De Souza, S Fonseca

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, CMS, Heavy ions, QPG, Flow, Heavy flavor, Mathematical Physics, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics, Mathematical sciences, Physical sciences
Abstract

Measurements of the elliptic (v2) and triangular (v3) azimuthal anisotropy coefficients are presented for [Formula presented] mesons produced in [Formula presented] hadron decays (nonprompt [Formula presented] mesons) in lead-lead collisions at sNN=5.02TeV. The results are compared with previously published charm meson anisotropies measured using prompt [Formula presented] mesons. The data were collected with the CMS detector in 2018 with an integrated luminosity of 0.58nb−1. Azimuthal anisotropy is sensitive to the interactions of quarks with the hot and dense medium created in heavy ion collisions. Comparing results for prompt and nonprompt [Formula presented] mesons can assist in understanding the mass dependence of these interactions. The nonprompt results show lower magnitudes of v2 and v3 and weaker dependences on the meson transverse momentum and collision centrality than those found for prompt [Formula presented] mesons. The results are in agreement with theoretical predictions that include a mass dependence in the interactions of quarks with the medium.

Published
2024

19. Study of azimuthal anisotropy of ϒ(1S) mesons in pPb collisions at s NN = 8.16 TeV

Author

Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Pitters, FM, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Kello, T, Sfar, H Rejeb, Van Mechelen, P, Bols, ES, D'Hondt, J, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Moortgat, S, Morton, A, Müller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Vannerom, D, Clerbaux, B, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Lee, K, Mahdavikhorrami, M, Makarenko, I, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Bemden, M Vanden, Vander Velde, C, Vanlaer, P, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Niedziela, M, Rendón, C, Roskas, C, Samalan, A, Skovpen, K, Tytgat, M, Van Den Bossche, N, Vermassen, B, Wezenbeek, L, Benecke, A, Bruno, G, Bury, F, Caputo, C, David, P, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Mondal, K, Taliercio, A, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Moraes, A, Teles, P Rebello, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, and De Jesus Damiao, D

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, CMS, pPb, Heavy ion, v2, Upsilon, Flow, Mathematical Physics, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics, Mathematical sciences, Physical sciences
Abstract

The azimuthal anisotropy of [Formula presented] mesons in high-multiplicity proton-lead collisions is studied using data collected by the CMS experiment at a nucleon-nucleon center-of-mass energy of 8.16TeV. The [Formula presented] mesons are reconstructed using their dimuon decay channel. The anisotropy is characterized by the second Fourier harmonic coefficients, found using a two-particle correlation technique, in which the [Formula presented] mesons are correlated with charged hadrons. A large pseudorapidity gap is used to suppress short-range correlations. Nonflow contamination from the dijet background is removed using a low-multiplicity subtraction method, and the results are presented as a function of [Formula presented] transverse momentum. The azimuthal anisotropies are smaller than those found for charmonia in proton-lead collisions at the same collision energy, but are consistent with values found for [Formula presented] mesons in lead-lead interactions at a nucleon-nucleon center-of-mass energy of 5.02 TeV.

Published
2024

20. Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models

Author

Vakharia, Priyesh, Joshi, Devavrat, Chavan, Meenal, Sonawane, Dhananjay, Garg, Bhrigu, and Mazaheri, Parsa

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Large Language Models (LLMs) are adept at text manipulation -- tasks such as machine translation and text summarization. However, these models can also be prone to hallucination, which can be detrimental to the faithfulness of any answers that the model provides. Recent works in combating hallucinations in LLMs deal with identifying hallucinated sentences and categorizing the different ways in which models hallucinate. This paper takes a deep dive into LLM behavior with respect to hallucinations, defines a token-level approach to identifying different kinds of hallucinations, and further utilizes this token-level tagging to improve the interpretability and faithfulness of LLMs in dialogue summarization tasks. Through this, the paper presents a new, enhanced dataset and a new training paradigm., Comment: All authors contributed equally to this work

Published
2023

21. Converting Epics/Stories into Pseudocode using Transformers

Author

Kolhatkar, Gaurav, Madan, Akshit, Kowtal, Nidhi, Roy, Satyajit, and Sonawane, Sheetal

Subjects
Computer Science - Computation and Language
Abstract

The conversion of user epics or stories into their appropriate representation in pseudocode or code is a time-consuming task, which can take up a large portion of the time in an industrial project. With this research paper, we aim to present a methodology to generate pseudocode from a given agile user story of small functionalities so as to reduce the overall time spent on the industrial project. Pseudocode is a programming language agnostic representation of the steps involved in a computer program, which can be easily converted into any programming language. Leveraging the potential of Natural Language Processing, we want to simplify the development process in organizations that use the Agile Model of Software Development. We present a methodology to convert a problem described in the English language into pseudocode. This methodology divides the Text to Pseudocode conversion task into two stages or subtasks, each of which is treated like an individual machine translation task. Stage 1 is Text to Code Conversion and Stage 2 is Code to Pseudocode Conversion. We find that the CodeT5 model gives the best results in terms of BLEU score when trained separately on the two subtasks mentioned above. BLEU score is a metric that is used to measure the similarity between a machine-translated text and a set of reference translations., Comment: 2023 IEEE - INDICON

Published
2023

22. Empathy and Distress Detection using Ensembles of Transformer Models

Author

Chavan, Tanmay, Deshpande, Kshitij, and Sonawane, Sheetal

Subjects
Computer Science - Computation and Language
Abstract

This paper presents our approach for the WASSA 2023 Empathy, Emotion and Personality Shared Task. Empathy and distress are human feelings that are implicitly expressed in natural discourses. Empathy and distress detection are crucial challenges in Natural Language Processing that can aid our understanding of conversations. The provided dataset consists of several long-text examples in the English language, with each example associated with a numeric score for empathy and distress. We experiment with several BERT-based models as a part of our approach. We also try various ensemble methods. Our final submission has a Pearson's r score of 0.346, placing us third in the empathy and distress detection subtask., Comment: Accepted at the WASSA 2023 workshop at ACL 2023

Published
2023

24. Application of Modern Tools in Web 3.0 and Blockchain to Innovate Healthcare System

Author

Sawardekar, Sonali, Mulla, Rahesha, Sonawane, Sonali, Shinde, Asharani, Borate, Vishal, Mali, Yogesh Kisan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rawat, Sanyog, editor, Kumar, Arvind, editor, Raman, Ashish, editor, Kumar, Sandeep, editor, and Pathak, Parul, editor

Published
2025
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25. Securing Data in Image Using Advanced Encryption Standard

Author

Chavan, Puja, Pagar, Aditya, Pote, Sanket, Fulsundar, Avdhoot, Ghante, Piyush, Mane, Phinehas, Sonawane, Raj, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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36. A Novel Approach for Invoice Management using Blockchain

Author

Sontakke, Nikhil, Rastogi, Shivansh, Utekar, Sejal, and Sonawane, Shriraj

Subjects
Computer Science - Cryptography and Security
Abstract

Electronic invoicing is another area where blockchain technology is being used. Additionally, it has the power to alter how payments are made, invoices are issued, and transactions are validated. Using a blockchain-based invoicing system will enable smooth payments from a customer's digital wallet to a business's digital wallet. Transactions are simple to track and monitor, and the blockchain may be used to retrieve an exchange's full history. Sometimes shopkeepers create fake bills and submit them to the higher tax-paying authorities. To bring transparency to this billing system between customers, shopkeepers, and tax-paying authorities billing system using blockchain is to be implemented using the concept of Blockchain and make the billing system in our country work smoothly. Blockchain technology can revolutionize the invoicing and payment process by providing a secure, transparent and tamper-proof system. A blockchain-based billing system can facilitate smooth payments, allow for easy tracking and monitoring of transactions, and provide a tamper-proof history of all exchanges. The use of blockchain can prevent fraud and increase transparency among customers, shopkeepers, and tax-paying authorities. Furthermore, it can streamline the process by using digital wallets for both customers and businesses, reducing time and resources for traditional invoicing methods. Overall, blockchain technology can bring greater efficiency and trust to the billing system, benefiting all parties involved. It can prevent fraud, increase transparency and streamline the invoicing and payment process. This technology can create a more secure and efficient billing system ultimately benefiting all parties involved., Comment: 5 pages, 3 figures, Published in International Journal of Innovative Science and Research Technology

Published
2023
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37. Comparative Analysis of Deep-Fake Algorithms

Author

Sontakke, Nikhil, Utekar, Sejal, Rastogi, Shivansh, and Sonawane, Shriraj

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Due to the widespread use of smartphones with high-quality digital cameras and easy access to a wide range of software apps for recording, editing, and sharing videos and images, as well as the deep learning AI platforms, a new phenomenon of 'faking' videos has emerged. Deepfake algorithms can create fake images and videos that are virtually indistinguishable from authentic ones. Therefore, technologies that can detect and assess the integrity of digital visual media are crucial. Deepfakes, also known as deep learning-based fake videos, have become a major concern in recent years due to their ability to manipulate and alter images and videos in a way that is virtually indistinguishable from the original. These deepfake videos can be used for malicious purposes such as spreading misinformation, impersonating individuals, and creating fake news. Deepfake detection technologies use various approaches such as facial recognition, motion analysis, and audio-visual synchronization to identify and flag fake videos. However, the rapid advancement of deepfake technologies has made it increasingly difficult to detect these videos with high accuracy. In this paper, we aim to provide a comprehensive review of the current state of deepfake creation and detection technologies. We examine the various deep learning-based approaches used for creating deepfakes, as well as the techniques used for detecting them. Additionally, we analyze the limitations and challenges of current deepfake detection methods and discuss future research directions in this field. Overall, the paper highlights the importance of continued research and development in deepfake detection technologies in order to combat the negative impact of deepfakes on society and ensure the integrity of digital visual media., Comment: 7 pages, 4 figures, 2 tables, Published with International Journal of Computer Science Trends and Technology (IJCST)

Published
2023

38. Mesenchymal stem cells-derived extracellular vesicles for therapeutics of renal tuberculosis

Author

Yudintceva, Natalia, Bobkov, Danila, Sulatsky, Maksim, Mikhailova, Natalia, Oganesyan, Elena, Vinogradova, Tatiana, Muraviov, Alexandr, Remezova, Anna, Bogdanova, Evdokia, Garapach, Irina, Maslak, Olga, Esmedlyaeva, Dilyara, Dyakova, Marina, Yablonskiy, Petr, Ziganshin, Rustam, Kovalchuk, Sergey, Blum, Natalya, Sonawane, Shirish H., Sonawane, Avinash, Behl, Ankita, Shailja Singh, and Shevtsov, Maxim

Published
2024
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39. Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at sqrt(s) = 13 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D'Hondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, Bemden, M Vanden, 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, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, De Oliveira, T Menezes, Moraes, A, Teles, P Rebello, Soeiro, M, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, De Souza, S Fonseca, Martins, J, Herrera, C Mora, Amarilo, K Mota, and Mundim, L

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Muon spectrometers, Particle identification methods, Particle tracking detectors, Engineering, Nuclear & Particles Physics, Physical sciences
Abstract

The identification of prompt and isolated muons, as well as muons from heavy-flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut-based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb−1 of proton-proton collisions data at a centre-of-mass energy of √s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

Published
2024

40. Two-particle Bose-Einstein correlations and their Lévy parameters in PbPb collisions at sNN=5.02 TeV

Author

Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A Escalante, Hussain, PS, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Kello, T, Sfar, H Rejeb, Van Mechelen, P, Bols, ES, D'Hondt, J, De Moor, A, Delcourt, M, Faham, H El, Lowette, S, Morton, A, Müller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Van Putte, S, Vannerom, D, Clerbaux, B, Dansana, S, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Lee, K, Mahdavikhorrami, M, Makarenko, I, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Bemden, M Vanden, Vander Velde, C, Vanlaer, P, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Tytgat, M, Van Den Bossche, N, Vermassen, B, Wezenbeek, L, Benecke, A, Bruno, G, Bury, F, Caputo, C, David, P, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Lemaitre, V, Mondal, K, Taliercio, A, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Moraes, A, Teles, P Rebello, Júnior, WL Aldá, Pereira, M Alves Gallo, Filho, M Barroso Ferreira, Malbouisson, H Brandao, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, Dos Santos Sousa, V, and De Souza, S Fonseca

Subjects
Nuclear and Plasma Physics, Physical Sciences, Nuclear and plasma physics
Abstract

Two-particle Bose-Einstein momentum correlation functions are studied for charged-hadron pairs in lead-lead collisions at a center-of-mass energy per nucleon pair of Formula Presented. The data sample, containing Formula Presented minimum bias events corresponding to an integrated luminosity of 0.607 Formula Presented, was collected by the CMS experiment in 2018. The experimental results are discussed in terms of a Lévy-type source distribution. The parameters of this distribution are extracted as functions of particle pair average transverse mass and collision centrality. These parameters include the Lévy index or shape parameter Formula Presented, the Lévy scale parameter Formula Presented, and the correlation strength parameter Formula Presented. The source shape, characterized by Formula Presented, is found to be neither Cauchy nor Gaussian, implying the need for a full Lévy analysis. Similarly to what was previously found for systems characterized by Gaussian source radii, a hydrodynamical scaling is observed for the Lévy Formula Presented parameter. The Formula Presented parameter is studied in terms of the core-halo model.

Published
2024

41. Observation of the Λ b 0 → J / ψ Ξ - K + decay.

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, J, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Valle, A, Hussain, P, 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, Janssen, T, Mechelen, P, Bols, E, DHondt, J, Dansana, S, De Moor, A, Delcourt, M, El Faham, H, Lowette, S, Makarenko, I, Müller, D, Sahasransu, A, 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, Bemden, M, Velde, C, Vanlaer, P, De Coen, M, Dobur, D, Hong, Y, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Bossche, N, Wezenbeek, L, Benecke, A, Bruno, G, Caputo, C, Delaere, C, Donertas, I, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, T, Wertz, S, Alves, G, Coelho, E, Hensel, C, De Oliveira, T, Moraes, A, Teles, P, Soeiro, M, Júnior, W, Pereira, M, Filho, M, Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, E, Da Silveira, G, De Jesus Damiao, D, De Souza, S, Martins, J, Herrera, C, Amarilo, K, and Mundim, L

Abstract

Using proton-proton collision data corresponding to an integrated luminosity of 140 fb - 1 collected by the CMS experiment at s = 13 Te V , the Λ b 0 → J / ψ Ξ - K + decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the Λ b 0 → ψ ( 2 S ) Λ decay, is measured to be B ( Λ b 0 → J / ψ Ξ - K + ) / B ( Λ b 0 → ψ ( 2 S ) Λ ) = [ 3.38 ± 1.02 ± 0.61 ± 0.03 ] % , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in B ( ψ ( 2 S ) → J / ψ π + π - ) and B ( Ξ - → Λ π - ) .

Published
2024

42. Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service.

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, J, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Hussain, P, Jeitler, M, Krammer, N, Li, A, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, M, Janssen, T, Mechelen, P, Bols, E, DHondt, J, Dansana, S, De Moor, A, Delcourt, M, Faham, H, Lowette, S, Makarenko, I, Müller, D, Sahasransu, A, Tavernier, S, Tytgat, M, Onsem, G, Putte, S, Vannerom, D, Clerbaux, B, Das, A, De Lentdecker, G, Favart, L, Gianneios, P, Hohov, D, Jaramillo, J, Khalilzadeh, A, Khan, F, Lee, K, Mahdavikhorrami, M, Malara, A, Paredes, S, Thomas, L, Bemden, M, Velde, C, Vanlaer, P, De Coen, M, Dobur, D, Hong, Y, Knolle, J, Lambrecht, L, Mestdach, G, Amarilo, K, Rendón, C, Samalan, A, Skovpen, K, Bossche, N, Linden, J, Wezenbeek, L, Benecke, A, Bethani, A, Bruno, G, Caputo, C, Delaere, C, Donertas, I, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, T, Wertz, S, Alves, G, Coelho, E, Hensel, C, De Oliveira, T, Moraes, A, Teles, P, Soeiro, M, Júnior, W, Pereira, M, Filho, M, Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, E, Da Silveira, G, and De Jesus Damiao, D

Subjects
CMS, Machine learning, Offline and computing
Abstract

Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance increases of software running on central processing units (CPUs), explorations of coprocessor usage in data processing hold great potential and interest. Coprocessors are a class of computer processors that supplement CPUs, often improving the execution of certain functions due to architectural design choices. We explore the approach of Services for Optimized Network Inference on Coprocessors (SONIC) and study the deployment of this as-a-service approach in large-scale data processing. In the studies, we take a data processing workflow of the CMS experiment and run the main workflow on CPUs, while offloading several machine learning (ML) inference tasks onto either remote or local coprocessors, specifically graphics processing units (GPUs). With experiments performed at Google Cloud, the Purdue Tier-2 computing center, and combinations of the two, we demonstrate the acceleration of these ML algorithms individually on coprocessors and the corresponding throughput improvement for the entire workflow. This approach can be easily generalized to different types of coprocessors and deployed on local CPUs without decreasing the throughput performance. We emphasize that the SONIC approach enables high coprocessor usage and enables the portability to run workflows on different types of coprocessors.

Published
2024

43. Search for dark matter particles in W+W− events with transverse momentum imbalance in proton-proton collisions at s = 13 TeV

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Escalante Del Valle, A, Hussain, PS, Jeitler, M, Krammer, N, Liko, D, Mikulec, I, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Van Mechelen, P, Bols, ES, D’Hondt, J, Dansana, S, De Moor, A, Delcourt, M, El Faham, H, Lowette, S, Makarenko, I, Müller, D, Sahasransu, AR, 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, IS, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, TT, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Menezes De Oliveira, T, Moraes, A, Rebello Teles, P, Soeiro, M, Aldá Júnior, WL, Alves Gallo Pereira, M, Barroso Ferreira Filho, M, Brandao Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, Fonseca De Souza, S, Martins, J, Mora Herrera, C, Mota Amarilo, K, and Mundim, L

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Beyond Standard Model, Dark Matter, Hadron-Hadron Scattering, Vector Boson Production, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Nuclear and plasma physics, Particle and high energy physics
Abstract

A search for dark matter particles is performed using events with a pair of W bosons and large missing transverse momentum. Candidate events are selected by requiring one or two leptons (ℓ = electrons or muons). The analysis is based on proton-proton collision data collected at a center-of-mass energy of 13 TeV by the CMS experiment at the LHC and corresponding to an integrated luminosity of 138 fb−1. No significant excess over the expected standard model background is observed in the ℓνqq and 2ℓ2ν final states of the W+W− boson pair. Limits are set on dark matter production in the context of a simplified dark Higgs model, with a dark Higgs boson mass above the W+W− mass threshold. The dark matter phase space is probed in the mass range 100–300 GeV, extending the scope of previous searches. Current exclusion limits are improved in the range of dark Higgs masses from 160 to 250 GeV, for a dark matter mass of 200 GeV.

Published
2024

44. Study of charm hadronization with prompt Λc+ baryons in proton-proton and lead-lead collisions at sNN = 5.02 TeV

Author

Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Escalante Del Valle, A, Hussain, PS, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Kello, T, Van Mechelen, P, Bols, ES, D’Hondt, J, De Moor, A, Delcourt, M, El Faham, H, Lowette, S, Morton, A, Müller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Van Putte, S, Vannerom, D, Clerbaux, B, Dansana, S, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Lee, K, Mahdavikhorrami, M, Makarenko, I, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Vanden Bemden, M, Vander Velde, C, Vanlaer, P, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Tytgat, M, Van Den Bossche, N, Vermassen, B, Wezenbeek, L, Benecke, A, Bruno, G, Bury, F, Caputo, C, David, P, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Mondal, K, Taliercio, A, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Moraes, A, Rebello Teles, P, Aldá Júnior, WL, Alves Gallo Pereira, M, Barroso Ferreira Filho, M, Brandao Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, Dos Santos Sousa, V, Fonseca De Souza, S, and Martins, J

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Nuclear and plasma physics, Particle and high energy physics
Abstract

The production of prompt Λc+ baryons is measured via the exclusive decay channel Λc+→pK−π+ at a center-of-mass energy per nucleon pair of 5.02 TeV, using proton-proton (pp) and lead-lead (PbPb) collision data collected by the CMS experiment at the CERN LHC. The pp and PbPb data were obtained in 2017 and 2018 with integrated luminosities of 252 and 0.607 nb−1, respectively. The measurements are performed within the Λc+ rapidity interval |y| < 1 with transverse momentum (pT) ranges of 3–30 and 6–40 GeV/c for pp and PbPb collisions, respectively. Compared to the yields in pp collisions scaled by the expected number of nucleon-nucleon interactions, the observed yields of Λc+ with pT> 10 GeV/c are strongly suppressed in PbPb collisions. The level of suppression depends significantly on the collision centrality. The Λc+/D0 production ratio is similar in PbPb and pp collisions at pT> 10 GeV/c, suggesting that the coalescence process does not play a dominant role in prompt Λc+ baryon production at higher pT.

Published
2024

45. Higher-order moments of the elliptic flow distribution in PbPb collisions at sNN = 5.02 TeV

Author

Tumasyan, A, Adam, W, Andrejkovic, JW, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Escalante Del Valle, A, Hussain, PS, Jeitler, M, Krammer, N, Lechner, L, Liko, D, Mikulec, I, Paulitsch, P, Pitters, FM, Schieck, J, Schöfbeck, R, Schwarz, D, Sonawane, M, Templ, S, Waltenberger, W, Wulz, C-E, Darwish, MR, Janssen, T, Kello, T, Rejeb Sfar, H, Van Mechelen, P, Bols, ES, D’Hondt, J, De Moor, A, Delcourt, M, El Faham, H, Lowette, S, Moortgat, S, Morton, A, Müller, D, Sahasransu, AR, Tavernier, S, Van Doninck, W, Vannerom, D, Clerbaux, B, De Lentdecker, G, Favart, L, Hohov, D, Jaramillo, J, Lee, K, Mahdavikhorrami, M, Makarenko, I, Malara, A, Paredes, S, Pétré, L, Postiau, N, Thomas, L, Vanden Bemden, M, Vander Velde, C, Vanlaer, P, Dobur, D, Knolle, J, Lambrecht, L, Mestdach, G, Rendón, C, Samalan, A, Skovpen, K, Tytgat, M, Van Den Bossche, N, Vermassen, B, Wezenbeek, L, Benecke, A, Bruno, G, Bury, F, Caputo, C, David, P, Delaere, C, Donertas, IS, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Mondal, K, Taliercio, A, Tran, TT, Vischia, P, Wertz, S, Alves, GA, Coelho, E, Hensel, C, Moraes, A, Rebello Teles, P, Aldá Júnior, WL, Alves Gallo Pereira, M, Barroso Ferreira Filho, M, Brandao Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, EM, Da Silveira, GG, De Jesus Damiao, D, Dos Santos Sousa, V, and Fonseca De Souza, S

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Event-by-Event fluctuation, Harmonic Flow, Heavy Ion Experiments, Relativistic Heavy Ion Physics, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Nuclear and plasma physics, Particle and high energy physics
Abstract

The hydrodynamic flow-like behavior of charged hadrons in high-energy lead-lead collisions is studied through multiparticle correlations. The elliptic anisotropy values based on different orders of multiparticle cumulants, v2{2k}, are measured up to the tenth order (k = 5) as functions of the collision centrality at a nucleon-nucleon center-of-mass energy of sNN = 5.02 TeV. The data were recorded by the CMS experiment at the LHC and correspond to an integrated luminosity of 0.607 nb−1. A hierarchy is observed between the coefficients, with v2{2} > v2{4} ≳ v2{6} ≳ v2{8} ≳ v2{10}. Based on these results, centrality-dependent moments for the fluctuation-driven event-by-event v2 distribution are determined, including the skewness, kurtosis and, for the first time, superskewness. Assuming a hydrodynamic expansion of the produced medium, these moments directly probe the initial-state geometry in high-energy nucleus-nucleus collisions.

Published
2024

46. Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the μμbb and ττbb final states.

Author

Hayrapetyan, A, Tumasyan, A, Adam, W, Andrejkovic, J, Bergauer, T, Chatterjee, S, Damanakis, K, Dragicevic, M, Del Valle, A, Hussain, P, 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, Janssen, T, Van Mechelen, P, Bols, E, DHondt, J, Dansana, S, De Moor, A, Delcourt, M, El Faham, H, Lowette, S, Makarenko, I, Müller, D, Sahasransu, A, 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, Bemden, M, 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, Giammanco, A, Jaffel, K, Jain, Sa, Lemaitre, V, Lidrych, J, Mastrapasqua, P, Mondal, K, Tran, T, Wertz, S, Alves, G, Coelho, E, Hensel, C, Menezes De Oliveira, T, Moraes, A, Rebello Teles, P, Soeiro, M, Aldá Júnior, W, Alves Gallo Pereira, M, Barroso Ferreira Filho, M, Brandao Malbouisson, H, Carvalho, W, Chinellato, J, Da Costa, E, Da Silveira, G, De Jesus Damiao, D, Fonseca De Souza, S, Martins, J, Mora Herrera, C, Mota Amarilo, K, and Mundim, L

Abstract

A search for exotic decays of the Higgs boson (H) with a mass of 125GeV to a pair of light pseudoscalars a1 is performed in final states where one pseudoscalar decays to two b quarks and the other to a pair of muons or τ leptons. A data sample of proton-proton collisions at s=13TeV corresponding to an integrated luminosity of 138fb-1 recorded with the CMS detector is analyzed. No statistically significant excess is observed over the standard model backgrounds. Upper limits are set at 95% confidence level (CL) on the Higgs boson branching fraction to μμbb and to ττbb, via a pair of a1s. The limits depend on the pseudoscalar mass ma1 and are observed to be in the range (0.17-3.3) ×10-4 and (1.7-7.7) ×10-2 in the μμbb and ττbb final states, respectively. In the framework of models with two Higgs doublets and a complex scalar singlet (2HDM+S), the results of the two final states are combined to determine upper limits on the branching fraction B(H→a1a1→ℓℓbb) at 95% CL, with ℓ being a muon or a τ lepton. For different types of 2HDM+S, upper bounds on the branching fraction B(H→a1a1) are extracted from the combination of the two channels. In most of the Type II 2HDM+S parameter space, B(H→a1a1) values above 0.23 are excluded at 95% CL for ma1 values between 15 and 60GeV.

Published
2024

47. Measurement of the Bs0→J/ψKS0s effective lifetime from proton-proton collisions at Bs0→J/ψKS0s = 13 TeV

Author

Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Waltenberger, W., Wulz, C.-E., Janssen, T., Van Laer, T., Van Mechelen, P., Breugelmans, N., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., Heyen, F., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Bilin, B., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Shahzad, M. A., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Gokbulut, G., Hong, Y., Knolle, J., Lambrecht, L., Marckx, D., Mota Amarilo, K., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., De Favereau De Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Wertz, S., Alves, G. A., Alves Gallo Pereira, M., Coelho, E., Correia Silva, G., Hensel, C., Menezes De Oliveira, T., Mora Herrera, C., Moraes, A., Rebello Teles, P., Soeiro, M., Vilela Pereira, A., Aldá Júnior, W. L., 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., Gomes De Souza, R., Macedo, M., Martins, J., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Maietto Silverio, I., 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., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Laroze, D., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liang, 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., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Deng, S., Guo, B., Jiang, C., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S., Qian, S. J., Qin, X., Sun, X., Wang, D., Yang, H., Zhang, L., Zhao, Y., Zhou, C., Yang, S., You, Z., Jaffel, K., Lu, N., Bauer, G., Li, B., Zhang, J., Gao, X., Li, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Ramirez, F., Rendón, C., Rodriguez, M., Ruales Barbosa, A. A., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Petkovic, A., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Jakovcic, K., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Hadjiagapiou, A., Leonidou, C., Mousa, J., Nicolaou, C., Paizanos, L., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Carrera Jarrin, E., Abdelalim, A. A., Elgammal, S., Ellithi Kamel, A., Lotfy, A., Mahmoud, M. A., 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., Bin Norjoharuddeen, N., Brücken, E., Garcia, F., Inkaew, P., Kallonen, K. T. S., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominiemi, J., Luukka, P., Petrow, H., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Kumar, M., Lohezic, V., Malcles, J., Orlandi, F., Portales, L., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Beaudette, F., Boldrini, G., Busson, P., Cappati, A., Charlot, C., Chiusi, M., Damas, F., Davignon, O., De Wit, A., Ehle, I. T., Fontana Santos Alves, B. A., Ghosh, S., Gilbert, A., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Nguyen, M., Ochando, C., Salerno, R., Sauvan, J. B., Sirois, Y., Urda Gómez, L., 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., Haeberle, R., Le Bihan, A.-C., Meena, M., Poncet, O., Saha, G., Sessini, M. A., Van Hove, P., Vaucelle, P., Di Florio, A., Amram, D., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Jourd‘huy, E., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Purohit, A., Vander Donckt, M., Verdier, P., Xiao, J., Chokheli, D., Lomidze, I., Tsamalaidze, Z., Botta, V., Consuegra Rodríguez, S., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Pérez Adán, D., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, J., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. y., Mausolf, F., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Seth, C., Sharma, A., Spah, J. L., Stein, A., Torres Da Silva De Araujo, F., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Bach, J., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Belvedere, A., Blekman, F., Borras, K., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Guglielmi, V., Guthoff, M., Hinzmann, A., Jeppe, L., Kaech, B., Kasemann, M., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Lorkowski, F., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Meyer, A. B., Milella, G., Moral Figueroa, K., Mussgiller, A., Nair, L. P., Niedziela, J., Nürnberg, A., Otarid, Y., Park, J., Ranken, E., Raspereza, A., Rastorguev, D., Rübenach, J., Rygaard, L., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Sharko, K., Shchedrolosiev, M., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bollweg, S., Bonanomi, M., Connor, P., El Morabit, K., Fischer, Y., Garutti, E., Grohsjean, A., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kuo, C. c., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., 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., Elicabuk, U., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Kieseler, J., Klute, M., Koppenhöfer, R., Lawhorn, J. M., Link, M., Lintuluoto, A., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Pfeffer, E., Presilla, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Sowa, L., Stockmeier, L., Tauqeer, K., Toms, M., Trevisani, N., Von Cube, R. F., Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Zuo, X., Anagnostou, G., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Painesis, Z., 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., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Hajdu, C., Horvath, D., Márton, K., Rádl, A. J., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Fehérkuti, A., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Pásztor, G., Veres, G. I., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Molnar, J., Szillasi, Z., Nemes, F., Novak, T., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Kumar, A., Naimuddin, M., Ranjan, K., Saini, M. K., Saumya, S., Baradia, S., Barman, S., Bhattacharya, S., Das Gupta, S., Dutta, S., Dutta, S., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Dash, G., Jana, P., Kalbhor, P., Kamble, S., Komaragiri, J. R., Kumar, D., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Singh, R. K., Verma, P., Verma, S., Vijay, A., Dugad, S., Mohanty, G. B., Parida, B., Shelake, M., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Jain, Sh., Jaiswal, A., Kumar, S., Majumder, G., Mazumdar, K., Parolia, S., Thachayath, A., Bahinipati, S., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Naskar, K., Nayak, A., Nayak, S., Pal, K., Sadangi, P., Swain, S. K., Varghese, S., Vats, D., Acharya, S., Alpana, A., Dube, S., Gomber, B., Hazarika, P., Kansal, B., Laha, A., Sahu, B., Sharma, S., Vaish, K. Y., Bakhshiansohi, H., Jafari, A., Zeinali, M., Bashiri, S., Chenarani, S., Etesami, S. M., Hosseini, Y., Khakzad, M., Khazaie, E., Mohammadi Najafabadi, M., Tizchang, S., Felcini, M., Grunewald, M., Abbrescia, M., Colaleo, A., Creanza, D., D’Anzi, B., De Filippis, N., De Palma, M., Elmetenawee, W., Fiore, L., Iaselli, G., Longo, L., Louka, M., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Troiano, D., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Battilana, C., Bonacorsi, D., 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., Lorusso, M., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Paggi, G., Perrotta, A., Primavera, F., Rossi, A. M., Rossi Tisbeni, S., Rovelli, T., Siroli, G. P., Costa, S., Di Mattia, A., Lapertosa, A., Potenza, R., Tricomi, A., Tuve, C., Assiouras, P., 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., 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., Palluotto, S., Pedrini, D., Perego, A., Pinolini, B. S., Pizzati, G., Ragazzi, S., Tabarelli de Fatis, T., Buontempo, S., Cagnotta, A., Carnevali, F., Cavallo, N., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Rossi, B., Ardino, R., Azzi, P., Bacchetta, N., Bortignon, P., Bortolato, G., Bragagnolo, A., Bulla, A. C. M., Carlin, R., Checchia, P., Dorigo, T., Gasparini, F., Gasparini, U., Giorgetti, S., Lusiani, E., Margoni, M., Meneguzzo, A. T., Migliorini, M., Pazzini, J., Ronchese, P., Rossin, R., Sgaravatto, M., Simonetto, F., Tosi, M., Triossi, A., Ventura, S., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Ajmal, S., Ascioti, M. E., Bilei, G. M., Carrivale, C., Ciangottini, D., Fanò, L., Magherini, M., Mariani, V., Menichelli, M., Moscatelli, F., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Alexe, C. A., Asenov, P., 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., Marini, A. C., Matos Figueiredo, D., Messineo, A., Mishra, S., Musich, M., Palla, F., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Vaselli, F., Venturi, A., Verdini, P. 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K., Wang, F., Wildridge, A., Xie, W., Yao, Y., Dolen, J., Parashar, N., Pathak, A., Acosta, D., Carnahan, T., Ecklund, K. M., Fernández Manteca, P. J., Freed, S., Gardner, P., Geurts, F. J. M., Krommydas, I., Li, W., Lin, J., Miguel Colin, O., Padley, B. P., Redjimi, R., Rotter, J., Yigitbasi, E., Zhang, Y., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Parmar, N., Parygin, P., Taus, R., Chiarito, B., Chou, J. P., Clark, S. V., Gadkari, D., Gershtein, Y., Halkiadakis, E., Heindl, M., Houghton, C., Jaroslawski, D., Konstantinou, S., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Reichert, J., Routray, H., Saha, P., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Vora, J., Wang, H., Ally, D., Delannoy, A. G., Fiorendi, S., Higginbotham, S., Holmes, T., Kanuganti, A. R., Karunarathna, N., Lee, L., Nibigira, E., Spanier, S., Aebi, D., Ahmad, M., Akhter, T., Bouhali, O., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Gogate, N., Hegde, V., Hussain, A., Kazhykarim, Y., Lamichhane, K., Lee, S. W., Mankel, A., Peltola, T., Volobouev, I., Appelt, E., Chen, Y., Greene, S., Gurrola, A., Johns, W., Kunnawalkam Elayavalli, R., Melo, A., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Viinikainen, J., Cardwell, B., Chung, H., Cox, B., Hakala, J., Hirosky, R., Ledovskoy, A., Neu, C., Bhattacharya, S., Karchin, P. E., Aravind, A., Banerjee, S., Black, K., Bose, T., Dasu, S., De Bruyn, I., Everaerts, P., Galloni, C., He, H., Herndon, M., Herve, A., Koraka, C. K., Lanaro, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Mondal, S., Parida, G., Pétré, L., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Tsoi, H. 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2024
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48. Measurement of differential ZZ + jets production cross sections in pp collisions at s = 13 TeV

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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., Fernandez Perez Tomei, T. R., 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., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Abdelalim, A. A., Salama, E., Mahmoud, M. A., Mohammed, Y., 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., Lomidze, I., Toriashvili, T., 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., Bartók, M., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Veres, G. I., 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. 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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. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.

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2024
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49. Observation of the Λb0→J/ψΞ-K+ decay

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Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Valle, A. Escalante Del, 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., Mechelen, P. Van, 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., Bemden, M. Vanden, Velde, C. Vander, Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Bossche, N. Van Den, 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., De Oliveira, T. Menezes, Moraes, A., Teles, P. Rebello, Soeiro, M., Júnior, W. L. Aldá, Pereira, M. Alves Gallo, Filho, M. Barroso Ferreira, Malbouisson, H. Brandao, Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Souza, S. Fonseca, Martins, J., Herrera, C. Mora, Amarilo, K. Mota, Mundim, L., Nogima, H., Santoro, A., Sznajder, A., Thiel, M., Pereira, A. Vilela, Bernardes, C. A., Calligaris, L., Tomei, T. R. Fernandez Perez, Gregores, E. M., Mercadante, P. G., Novaes, S. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.

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2024
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50. Search for Higgs boson pair production with one associated vector boson in proton-proton collisions at s = 13 TeV

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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., Fernandez Perez Tomei, T. R., 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., 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., Lyu, X., 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., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Abdelalim, A. A., Salama, E., Lotfy, A., 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., Vander Donckt, M., Verdier, P., Xiao, J., Adamov, G., 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. 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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., Bartók, M., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Veres, G. I., 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, 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., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Palit, P., Saha, G., Sahu, B., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Jana, P., Kalbhor, P., Komaragiri, J. R., Kumar, D., Panwar, L., Pradhan, R., Pujahari, P. R., Saha, N. R., Sharma, A., 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., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. 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2024
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