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arXiv 2022年

作者： Chen, Angela Aricò, G. Huterer, D. Angulo, R. Weaverdyck, N. Friedrich, O. Secco, L.F. Hernández-Monteagudo, C. Alarcon, A. Alves, O. Amon, A. Andrade-Oliveira, F. Baxter, E. Bechtol, K. Becker, M.R. Bernstein, G.M. Blazek, J. Brandao-Souza, A. Bridle, S.L. Camacho, H. Campos, A. Carnero Rosell, A. Carrasco Kind, M. Cawthon, R. Chang, C. Chen, R. Chintalapati, P. Choi, A. Cordero, J. Crocce, M. Pereira, M.E.S. Davis, C. DeRose, J. Di Valentino, E. Diehl, H.T. Dodelson, S. Doux, C. Drlica-Wagner, A. Eckert, K. Eifler, T.F. Elsner, F. Elvin-Poole, J. Everett, S. Fang, X. Ferté, A. Fosalba, P. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R.A. Harrison, I. Hartley, W.G. Herner, K. Hoffmann, K. Huang, H. Huff, E.M. Jain, B. Jarvis, M. Jeffrey, N. Kacprzak, T. Krause, E. Kuropatkin, N. Leget, P.-F. Lemos, P. Liddle, A.R. MacCrann, N. McCullough, J. Muir, J. Myles, J. Navarro-Alsina, A. Omori, Y. Pandey, S. Park, Y. Porredon, A. Prat, J. Raveri, M. Refregier, A. Rollins, R.P. Roodman, A. Rosenfeld, R. Ross, A.J. Rykoff, E.S. Samuroff, S. Sánchez, C. Sanchez, J. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troja, A. Troxel, M.A. Tutusaus, I. Varga, T.N. Wechsler, R.H. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Aguena, M. Annis, J. Bacon, D. Bertin, E. Bocquet, S. Brooks, D. Burke, D.L. Carretero, J. Conselice, C. Costanzi, M. da Costa, L.N. De Vicente, J. Desai, S. Doel, P. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Lahav, O. March, M. Marshall, J.L. Melchior, P. Menanteau, F. Miquel, R. Mohr, J.J. Morgan, R. Paz-Chinchón, F. Pieres, A. Sanchez, E. Smith, M. Suchyta, E. Tarle, G. Thomas, D. To, C. Department of Physics University of Michigan Ann ArborMI48109 United States UTIAS The University of Tokyo Chiba Kashiwa277-8583 Japan Institute for Computational Science University of Zurich Winterthurerstrasse 190 Zurich8057 Switzerland Paseo Manuel de Lardizabal 4 Guipuzkoa Donostia-San Sebastián20018 Spain Departamento de Física Universidad de Zaragoza Pedro Cerbuna 12 Zaragoza50009 Spain IKERBASQUE Basque Foundation for Science Bilbao48013 Spain Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Kavli Institute for Cosmology University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Astrophysics Research Instituto de Astrofísica de Canarias CVía Láctea sn Tenerife La LagunaE-38205 Spain Departamento de Astrofísica Universidad de La Laguna Avenida Francisco Sánchez sn Tenerife La LagunaE-38205 Spain Argonne National Laboratory 9700 South Cass Avenue Lemont IL60439 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive HonoluluHI96822 United States Physics Department University of Wisconsin-Madison 2320 Chamberlin Hall 1150 University Avenue MadisonWI53706-1390 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Physics Northeastern University BostonMA02115 United States Observatoire de Sauverny Versoix 1290 Switzerland Instituto de Física Gleb Wataghin Universidade Estadual de Campinas Campinas SP 13083-859 Brazil Jodrell Bank Center for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road Manc

We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic feedback. To model the baryonic feedback, we adopt a baryonic correction model and use the numerical package Baccoemu to accelerate the evaluation of the baryonic nonlinear matter power spectrum. We design our analysis pipeline to focus on the constraints of the baryonic suppression effects, utilizing the implication given by a principal component analysis on the Fisher forecasts. Our constraint on the baryonic effects can then be used to better model and ameliorate the effects of baryons in producing cosmological constraints from the next generation large-scale structure surveys. We detect the baryonic suppression on the cosmic shear measurements with a ∼ 2σ significance. The characteristic halo mass for which half of the gas is ejected by baryonic feedback is constrained to be Mc > 1013.2h−1Mo (95% C.L.). The best-fit baryonic suppression is ∼ 5% at k = 1.0Mpc h−1 and ∼ 15% at k = 5.0Mpc h−1. Our findings are robust with respect to the assumptions about the cosmological parameters, specifics of the baryonic model, and intrinsic alignments. Copyright © 2022, The Authors. All rights reserved.

关键词： Principal component analysis

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Sampling Architectures for Ultra-Wideband Signals

Sampling Architectures for Ultra-Wideband Signals

引用

International Conference on Sampling Theory and Applications

作者： Stephen D. Casey Howard S. Cohl Department of Mathematics and Statistics American University Applied and Computational Mathematics Division National Institute of Standards and Technology

ISBN: (纸本)9781538615669

Ultra-wideband (UWB) signal processing is a technology that has tremendous potential to develop advances in communication and information technology. However, it also presents challenges to the signal processing community, and, in particular, to sampling theory. This article outlines a UWB signal processing system via a basis projection and a basis system designed specifically for UWB signals. The method first windows the signal and then decomposes the signal into a basis via a continuous-time inner product operation, computing the basis coefficients in parallel. The windows are key, and we develop windows that have variable partitioning length, variable roll-off and variable smoothness. They preserve orthogonality of any orthonormal system between adjacent blocks. In this paper, we develop new windows, and give an outline for a new architecture for the projection. We then use this projection with a basis system designed to work with UWB signals, implementing modified Gegenbauer functions designed specifically for these signals.

关键词： Ultra wideband technologies signals FENSTER windows windows signal processing PROJECTION Basis Outlines new buildings orthogonality

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International Scientific Collaboration Is Needed to Bridge Science to Society: USERN2020 Consensus Statement

引用

SN comprehensive clinical medicine 2021年第8期3卷 1699-1703页

作者： Sara Momtazmanesh Amene Saghazadeh Juan Carlos Aldave Becerra Kiarash Aramesh Francisco J Barba Federico Bella Anna Blakney Massimo Capaccioli Rossella Castagna Umberto Crisanti Tigran Davtyan Tommaso Dorigo Julie Ealy Mehdi Farokhnia Giulia Grancini Manoj Gupta Amine Harbi Wojciech Krysztofiak Arutha Kulasinghe Chi-Ming Lam Alexander Leemans Brian Lighthill Vittorio Limongelli Paola Lopreiato Livio Luongo Christopher Ryan Maboloc Reza Malekzadeh Orlando Costa Gomes Milos Milosevic Jan Nouwen Delfín Ortega-Sánchez John Pawelek Surapati Pramanik Seeram Ramakrishna Ortwin Renn Serena Sanseviero Daniel Sauter Michael Schreiber Frank W Sellke Mohammad-Ali Shahbazi Natalya Shelkovaya Wayne H Slater Didier Snoeck Slawomir Sztajer Lucina Q Uddin Liz Veramendi-Espinoza Ricardo Vinuesa Walter C Willett Dongrui Wu Karolina Żyniewicz Nima Rezaei http://***. School of Medicine Tehran University of Medical Sciences Tehran Iran. Research Center for Immunodeficiencies Children's Medical Center Hospital Tehran University of Medical Sciences Tehran Iran. Division of Allergy and Immunology Hospital Nacional Edgardo Rebagliati Martins Lima Lima Peru. Department of Biology and Health Sciences College of Science and Health Professions Edinboro University of Pennsylvania Edinboro USA. Nutrition and Food Science Area Preventive Medicine and Public Health Food Science Toxicology and Forensic Medicine Department Faculty of Pharmacy Universitat de València Avda. Vicent Andrés Estellés S/n València 46100 Burjassot Spain. Department of Applied Science and Technology - DISAT Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy. Department of Infectious Diseases Imperial College London Norfolk Place London W2 1PG UK. Physics Department "Ettore Pancini" University of Naples Federico II Monte Sant'Angelo Campus via Cinthia 21 80121 Naples Italy. Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute for Science and Technology Barcelona 08028 Spain. Latvian Institute of Organic Synthesis (LIOS) Riga LV-1006 Latvia. Psychotherapist in Private Practice Canterbury Kent England. Analytical Laboratory Branch Scientific Centre of Drug and Medical Technology Expertise after Academician E. Gabrielyan CJSC Yerevan 0051 Armenia. INFN Sezione di Padova Padova Italy. Penn State Lehigh Valley 2809 Saucon Valley Road Center Valley PA 18034 USA. National Health Institutes of Health (NIH) Intramural Research Program (IRP) Bethesda USA. Department of Chemistry & INSTM University of Pavia Via Taramelli 14 Pavia I-27100 Italy. Department of Mechanical Engineering National University of Singapore Singapore Singapore. Souk Ahras University Souk Ahras Algeria. The Institute of Philosophy University of Szczecin Ul. Krakowska 71-79 Szczecin 71-004 Poland. Translational Research Institute Woolloongabba

Scientific collaboration has been a critical aspect of the development of all fields of science, particularly clinical medicine. It is well understood that myriads of benefits can be yielded by interdisciplinary and international collaboration. For instance, our rapidly growing knowledge on COVID-19 and vaccine development could not be attained without expanded collaborative activities. However, achieving fruitful results requires mastering specific tactics in collaborative efforts. These activities can enhance our knowledge, which ultimately benefits society. In addition to tackling the issue of the invisible border between different countries, institutes, and disciplines, the border between the scientific community and society needs to be addressed as well. International and transdisciplinary approaches can potentially be the best solution for bridging science and society. The Universal Scientific Education and Research Network (USERN) is a non-governmental, non-profit organization and network to promote professional, scientific research and education worldwide. The fifth annual congress of USERN was held in Tehran, Iran, in a hybrid manner on November 7-10, 2020, with key aims of bridging science to society and facilitating borderless science. Among speakers of the congress, a group of top scientists unanimously agreed on The USERN 2020 consensus, which is drafted with the goal of connecting society with scientific scholars and facilitating international and interdisciplinary scientific activities in all fields, including clinical medicine.

关键词： Collaboration International Policy Research Science Society

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5th International Conference on Variable Neighborhood Search (ICVNS'17)

引用

Electronic Notes in Discrete mathematics 2018年 66卷 1-5页

作者： Vitor Nazário Coelho Haroldo Gambini Santos Igor Machado Coelho Puca Huachi Vaz Penna Thays A. Oliveira Marcone Jamilson Freitas Souza Angelo Sifaleras Institute of Computer Science Universidade Federal Fluminense Niterói Brazil Grupo da Causa Humana Ouro Preto Brazil Department of Computing Universidade Federal de Ouro Preto Ouro Preto Brazil Institute of Mathematics Statitics Universidade Estadual do Rio de Janeiro Rio de Janeiro Brazil Graduate Program of the Department of Engineering and Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain Department of Applied Informatics School of Information Sciences University of Macedonia 156 Egnatia Str. Thessaloniki 54636 Greece

This volume presents selected, peer-reviewed, short papers that were accepted for presentation in the 5th International Conference on Variable Neighborhood Search (ICVNS'17) which was held in Ouro Preto, Brazil, d... 详细信息

关键词： Metaheuristics Variable Neighborhood Search Discrete Optimization Nonlinear optimization

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Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks

arXiv

引用

arXiv 2017年

作者： Wang, Yingfei Wang, Chu Powell, Warren Department of Computer Science Princeton University PrincetonNJ08540 United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Operations Research and Financial Engineering Princeton University PrincetonNJ08544 United States

We consider the problem of sequentially making decisions that are rewarded by "successes" and "failures" which can be predicted through an unknown relationship that depends on a partially controllable vector of attributes for each instance. The learner takes an active role in selecting samples from the instance pool. The goal is to maximize the probability of success in either offline (training) or online (testing) phases. Our problem is motivated by real-world applications where observations are time consuming and/or expensive. We develop a knowledge gradient policy using an online Bayesian linear classifier to guide the experiment by maximizing the expected value of information of labeling each alternative. We provide a finite-time analysis of the estimated error and show that the maximum likelihood estimator based produced by the KG policy is consistent and asymptotically normal. We also show that the knowledge gradient policy is asymptotically optimal in an offline setting. This work further extends the knowledge gradient to the setting of contextual bandits. We report the results of a series of experiments that demonstrate its efficiency. Copyright © 2017, The Authors. All rights reserved.

关键词： Maximum likelihood estimation

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Attosecond interference induced by Coulomb-field-driven transverse backward-scattering electron wave packets

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Physical Review A 2017年第3期95卷 033426-033426页

作者： Xiaohong Song Jingwen Xu Cheng Lin Zhihao Sheng Peng Liu Xianhuan Yu Huatang Zhang Weifeng Yang Shilin Hu Jing Chen Songpo Xu Yongju Chen Wei Quan Xiaojun Liu Department of Physics College of Science Shantou University Shantou Guangdong 515063 China HEDPS Center for Applied Physics and Technology Peking University Beijing 100084 China and Institute of Applied Physics and Computational Mathematics P. O. Box 8009 Beijing 100088 China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Chinese Academy of Sciences Wuhan 430071 China

A universal interference structure is found in the photoelectron momentum distribution of atoms in intense infrared laser field. Theoretical analysis shows that this structure can be attributed to a form of Coulomb-field-driven backward-scattering photoelectrons in the direction perpendicular to the laser field, in contrast to the conventional rescattering along the laser polarization direction. This transverse backward-scattering process is closely related to a family of photoelectrons initially ionized within a time interval of less than 200 as around the crest of the laser electric field. Those electrons, acquiring near-zero return energy in the laser field, will be pulled back solely by the ionic Coulomb field and backscattered in the transverse direction. Moreover, this rescattering process mainly occurs at the first or second return time, giving rise to different phases of the photoelectrons. The interference between these photoelectrons leads to unique curved interference fringes which are observable for most current intense field experiments, opening another way to record the electron dynamics in atoms and molecules on a time scale much shorter than an optical cycle.

关键词： Multiphoton or tunneling ionization & excitation

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On a stabilization mechanism for low velocity detonations

arXiv

引用

arXiv 2017年

作者： Sow, Aliou Semenko, Roman E. Kasimov, Aslan R. Applied Mathematics and Computational Science 4700 King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Mechanics and Mathematics Novosibirsk State University Pirogova St. 2 Novosibirsk630090 Russia Sobolev Institute of Mathematics Acad. Koptyug Av. 4 Novosibirsk630090 Russia

We use numerical simulations of the reactive Euler equations to analyze the nonlinear stability of steady-state one-dimensional solutions for gaseous detonations in the presence of both momentum and heat losses. Our results point to a possible stabilization mechanism for the low velocity detonations in such systems. The mechanism stems from the existence of a one-parameter family of solutions found in Semenko et al. (2016). Copyright © 2017, The Authors. All rights reserved.

关键词： Detonation

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Multiscale modeling of a rectifying bipolar nanopore: Comparing Poisson-Nernst-Planck to Monte Carlo

arXiv

引用

arXiv 2017年

作者： Matejczyk, Bartlomiej Valiskó, Mónika Wolfram, Marie-Therese Pietschmann, Jan-Frederik Boda, Dezső Department of Mathematics University of Warwick CoventryCV4 7AL United Kingdom Department of Physical Chemistry University of Pannonia P.O. Box 158 VeszprémH-8201 Hungary Radon Institute for Computational and Applied Mathematics Austrian Academy of Sciences Altenberger Strasse 69 Linz4040 Austria Institute for Computational and Applied Mathematics WWU Münster Münster48149 Germany Chernel st. 14. KoszegH-9730 Hungary

In the framework of a multiscale modeling approach, we present a systematic study of a bipolar rectifying nanopore using a continuum and a particle simulation method. The common ground in the two methods is the application of the Nernst-Planck (NP) equation to compute ion transport in the framework of the implicit-water electrolyte model. The difference is that the Poisson-Boltzmann theory is used in the Poisson-Nernst-Planck (PNP) approach, while the Local Equilibrium Monte Carlo (LEMC) method is used in the particle simulation approach (NP+LEMC) to relate the concentration profile to the electrochemical potential profile. Since we consider a bipolar pore which is short and narrow, we perform simulations using two-dimensional PNP. In addition, results of a non-linear version of PNP that takes crowding of ions into account are shown. We observe that the mean field approximation applied in PNP is appropriate to reproduce the basic behavior of the bipolar nanopore (e.g., rectification) for varying parameters of the system (voltage, surface charge, electrolyte concentration, and pore radius). We present current data that characterize the nanopore's behavior as a device, as well as concentration, electrical potential, and electrochemical potential profiles. Copyright © 2017, The Authors. All rights reserved.

关键词： Nanopores

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A family of high-order gas-kinetic schemes and its comparison with riemann solver based high-order methods

arXiv

引用

arXiv 2017年

作者： Ji, Xing Zhao, Fengxiang Shyy, Wei Xu, Kun Department of mathematics Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Department of Mechanical and Aerospace Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Institute of Applied Physics and Computational Mathematics Beijing China

Most high order computational fluid dynamics (CFD) methods for compressible flows are based on Riemann solver for the flux evaluation and Runge-Kutta (RK) time stepping technique for temporal accuracy. The main advantage of this kind of approach is the easy implementation and stability enhancement by introducing more middle stages. However, the nth-order time accuracy needs no less than n stages for the RK method, which is very time and memory consuming for a high order method. On the other hand, the multi-stage multi-derivative (MSMD) method can be used to achieve the same order of time accuracy using less middle stages, once the time derivatives of the flux function is used. For the traditional Riemann solver based CFD methods, the lack of time derivatives in the flux function prevents its direct implementation of the MSMD method. However, the gas kinetic scheme (GKS) provides such a time accurate evolution model. By combining the second-order or third-order GKS flux functions with the MSMD technique, a family of high order gas kinetic methods can be constructed. As an extension of the previous 2-stage 4th-order GKS, the 5th-order schemes with 2 and 3 stages will be developed in this paper. Based on the same 5th-order WENO reconstruction, the performance of gas kinetic schemes from the 2nd- to the 5th-order time accurate methods will be evaluated. The results show that the 5th-order scheme can achieve the theoretical order of accuracy for the Euler equations, and present accurate Navier-Stokes solutions as well due to the coupling of inviscid and viscous terms in the GKS formulation. In comparison with Riemann solver based 5th-order RK method, the high order GKS has advantages in terms of efficiency, accuracy, and robustness, for all test cases. The 4th-order and 5th-order GKS have the same robustness as the 2nd-order scheme for the capturing of discontinuous solutions. The current high order MSMD GKS is a multidimensional scheme with incorporation of both normal

关键词： Viscous flow

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Exploring the Strong Interaction of Three-Body Systems at the LHC

引用

Physical Review X 2024年第3期14卷 031051页

作者： S. Acharya D. Adamová G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn I. Ahuja A. Akindinov M. Al-Turany D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme G. Alocco T. Alt A. R. Altamura I. Altsybeev J. R. Alvarado M. N. Anaam C. Andrei N. Andreou A. Andronic V. Anguelov F. Antinori P. Antonioli N. Apadula L. Aphecetche H. Appelshäuser C. Arata S. Arcelli M. Aresti R. Arnaldi J. G. M. C. A. Arneiro I. C. Arsene M. Arslandok A. Augustinus R. Averbeck M. D. Azmi H. Baba A. Badalà J. Bae Y. W. Baek X. Bai R. Bailhache Y. Bailung A. Balbino A. Baldisseri B. Balis D. Banerjee Z. Banoo R. Barbera F. Barile L. Barioglio M. Barlou B. Barman G. G. Barnaföldi L. S. Barnby V. Barret L. Barreto C. Bartels K. Barth E. Bartsch N. Bastid S. Basu G. Batigne D. Battistini B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie P. Becht D. Behera I. Belikov A. D. C. Bell Hechavarria F. Bellini R. Bellwied S. Belokurova Y. A. V. Beltran G. Bencedi S. Beole Y. Berdnikov A. Berdnikova L. Bergmann M. G. Besoiu L. Betev P. P. Bhaduri A. Bhasin M. A. Bhat B. Bhattacharjee L. Bianchi N. Bianchi J. Bielčík J. Bielčíková J. Biernat A. P. Bigot A. Bilandzic G. Biro S. Biswas N. Bize J. T. Blair D. Blau M. B. Blidaru N. Bluhme C. Blume G. Boca F. Bock T. Bodova A. Bogdanov S. Boi J. Bok L. Boldizsár M. Bombara P. M. Bond G. Bonomi H. Borel A. Borissov A. G. Borquez Carcamo H. Bossi E. Botta Y. E. M. Bouziani L. Bratrud P. Braun-Munzinger M. Bregant M. Broz G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino P. Buhler N. Burmasov Z. Buthelezi A. Bylinkin S. A. Bysiak M. Cai H. Caines A. Caliva E. Calvo Villar J. M. M. Camacho P. Camerini F. D. M. Canedo S. L. Cantway M. Carabas A. A. Carballo F. Carnesecchi R. Caron L. A. D. Carvalho J. Castillo Castellanos F. Catalano C. Ceballos Sanchez I. Chakaberia P. Chakraborty S. Chandra S. Chapeland M. Chartier S. Chattopadhyay T. Cheng C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato E. Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Nuclear Physics Institute of the Czech Academy of Sciences Husinec-Řež Czech Republic Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy INFN Sezione di Bologna Bologna Italy Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Faculty of Science P.J. Šafárik University Košice Slovak Republic Affiliated with an institute covered by a cooperation agreement with CERN Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico Dipartimento di Fisica e Astronomia dell’Università Bologna Italy and Sezione INFN Bologna Italy University of Houston Houston Texas USA Department of Physics and Technology University of Bergen Bergen Norway INFN Sezione di Cagliari Cagliari Italy Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany INFN Sezione di Bari Bari Italy Physik Department Technische Universität München Munich Germany High Energy Physics Group Universidad Autónoma de Puebla Puebla Mexico Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania University of Derby Derby United Kingdom Universität Münster Institut für Kernphysik Münster Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany INFN Sezione di Padova Padova Italy Lawrence Berkeley National Laboratory Berkeley California USA SUBATECH IMT Atlantique Nantes Université CNRS-IN2P3 Nantes France Laboratoire de Physique Subatomique et de Cosmologie Université Grenoble-Alpes CNRS-IN2P3 Grenoble France Dipar

Deuterons are atomic nuclei composed of a neutron and a proton held together by the strong interaction. Unbound ensembles composed of a deuteron and a third nucleon have been investigated in the past using scattering experiments, and they constitute a fundamental reference in nuclear physics to constrain nuclear interactions and the properties of nuclei. In this work, K+−d and p−d femtoscopic correlations measured by the ALICE Collaboration in proton-proton (pp) collisions at s=13 TeV at the Large Hadron Collider (LHC) are presented. It is demonstrated that correlations in momentum space between deuterons and kaons or protons allow us to study three-hadron systems at distances comparable with the proton radius. The analysis of the K+−d correlation shows that the relative distances at which deuterons and protons or kaons are produced are around 2 fm. The analysis of the p−d correlation shows that only a full three-body calculation that accounts for the internal structure of the deuteron can explain the data. In particular, the sensitivity of the observable to the short-range part of the interaction is demonstrated. These results indicate that correlations involving light nuclei in pp collisions at the LHC will also provide access to any three-body system in the strange and charm sectors.

关键词： Hadron-hadron interactions

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