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Electroweak, QCD and flavour physics studies with ATLAS data from Run 2 of the LHC

physics Reports 2025年 1116卷 57-126页

作者： Aad, G. Aakvaag, E. Abbott, B. Abdelhameed, S. Abeling, K. Abicht, N.J. Abidi, S.H. Aboelela, M. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B.S. Ackermann, A. Adam Bourdarios, C. Adamczyk, L. Addepalli, S.V. Addison, M.J. Adelman, J. Adiguzel, A. Adye, T. Affolder, A.A. Afik, Y. Agaras, M.N. Agarwala, J. Aggarwal, A. Agheorghiesei, C. Ahmad, A. Ahmadov, F. Ahmed, W.S. Ahuja, S. Ai, X. Aielli, G. Aikot, A. Ait Tamlihat, M. Aitbenchikh, B. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Akiyama, D. Akolkar, N.N. Aktas, S. Al Khoury, K. Alberghi, G.L. Albert, J. Albicocco, P. Albouy, G.L. Alderweireldt, S. Alegria, Z.L. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alfonsi, F. Algren, M. Alhroob, M. Ali, B. Ali, H.M.J. Ali, S. Alibocus, S.W. Aliev, M. Alimonti, G. Alkakhi, W. Allaire, C. Allbrooke, B.M.M. Allen, J.F. Allendes Flores, C.A. Allport, P.P. Aloisio, A. Alonso, F. Alpigiani, C. Alsolami, Z.M.K. Alvarez Estevez, M. Alvarez Fernandez, A. Alves Cardoso, M. Alviggi, M.G. Aly, M. Amaral Coutinho, Y. Ambler, A. Amelung, C. Amerl, M. Ames, C.G. Amidei, D. Amirie, K.J. Amor Dos Santos, S.P. Amos, K.R. An, S. Ananiev, V. Anastopoulos, C. Andeen, T. Anders, J.K. Andrean, S.Y. Andreazza, A. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Antipov, E. Antonelli, M. Anulli, F. Aoki, M. Aoki, T. Aparo, M.A. Aperio Bella, L. Appelt, C. Apyan, A. Arbiol Val, S.J. Arcangeletti, C. Arce, A.T.H. Arena, E. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Arnaez, O. Arnold, H. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Ashby Pickering, R.A. Assamagan, K. Astalos, R. Astrand, K.S.V. Atashi, S. Atkin, R.J. Atkinson, M. Atmani, H. Atmasiddha, P.A. Augsten, K. Auricchio, S. Auriol, A.D. Austrup, V.A. Avolio, G. Axiotis, K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Backman, F. Badea, A. Baer, T.M. Bagnaia, P. Bahmani, M. Bahner, D. Bai, K. Baines, J.T. Baines, L. Baker, O.K. Bakos, E. Bakshi Gupta, D. Balakrishnan, V. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene, E. CPPM Aix-Marseille Université CNRS IN2P3 Marseille France Department for Physics and Technology University of Bergen Bergen Norway Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States New York University Abu Dhabi Abu Dhabi United Arab Emirates II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Physics Department Brookhaven National Laboratory Upton NY United States Physics Department Southern Methodist University Dallas TX United States Faculté des sciences Université Mohammed V Rabat Morocco Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel Department of Physics New York University New York NY United States INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King's College London London United Kingdom Kirchhoff-Institut für Physik Ruprecht-Karls-Universität Heidelberg Heidelberg Germany LAPP Université Savoie Mont Blanc CNRS IN2P3 Annecy France AGH University of Krakow Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Brandeis University Waltham MA United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Department of Physics Northern Illinois University DeKalb IL United States Department of Physics Istanbul University Istanbul Turkey Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA United States Enrico Fermi Institute University of Chicago Chicago IL United States Institut de Física d'Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain INFN Sezione di Pavia Italy Dipartimento di Fisica Uni

A summary of precision measurements sensitive to electroweak, QCD and quark-flavour effects performed by the ATLAS Collaboration at the Large Hadron Collider is reported. The measurements are predominantly performed on proton–proton (pp) collision data recorded at a centre-of-mass energy of 13 TeV taken from 2015 to 2018, with an integrated luminosity of up to 140 fb⁻¹, with some results based on pp and Pb+Pb data recorded at lower nucleon centre-of-mass energies. The results cover a wide range of topics, from strong production of particles at low energies and the spectroscopy of hadrons to perturbative QCD with hadronic jets and electroweak and strong production of single and multiple vector bosons. They provide precise measurements of fundamental constants and stringent tests of the Standard Model with unprecedented precision and in energy ranges never explored before. They are also used to explore the proton structure and to perform model-independent searches for new physics. © 2024 CERN for the benefit of the ATLAS Collaboration

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Numerical approach toward ternary hybrid nanofluid flow with nonlinear heat source-sink and fourier heat flux model passing through a disk

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International Journal of Thermofluids 2023年 18卷

作者： Alqawasmi, Khaled Alharbi, Khalid Abdulkhaliq M. Farooq, Umar Noreen, Sobia Imran, Muhammad Akgül, Ali Kanan, Mohammad Asad, Jihad Cyber Security Department Zarqa University Jordan Mechanical Engineering Department College of Engineering Umm Al-Qura University Makkah24382 Saudi Arabia Department of Mathematics Government College University Faisalabad 38000 Pakistan School of Mathematics Minhaj University Lahore Pakistan Department of Chemistry Government College Women University Faisalabad 38000 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Siirt University Art and Science Faculty Department of Mathematics Siirt 56100 Turkey Near East University Mathematics Research Center Department of Mathematics Near East Boulevard PC: 99138 Nicosia /Mersin 10 Turkey Jeddah College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Dep. of Physics Faculty of Applied Science Palestine Technical University- Kadoorie TulkarmP 305 Palestine

The use of a ternary hybrid nanofluid, a new form of nanofluid, can improve heat movement. The current research employs a two-dimensional steady model to investigate nonlinear thermal radiation via ternary hybrid nanofluid flow across a revolving disc. The study of manganese zinc ferrite, copper, and silver nanocomposite base hybrid nanofluid across a spinning disc is gaining traction in invention and research due to its broad range of applications. To derive dimensionless forms of regulating paired nonlinear partial differential equations, a collection of pertinent similarity transformations is used. Based on the shooting method, the modified collection of ODEs is then analytically solved by bvp4c via the computational tool MATLAB. Furthermore, as the magnetic parameter values are reduced, the fluid velocity declines while the fluid temperature grows over a spinning disc. For larger levels, the temperature of the distribution and the radiant heat component rises. The ternary composite nanofluid has the largest impact on the surface. Furthermore, compared to the hybrid and based nanofluids, the heat generation rate of the ternary nanofluid combination is the higher transmission. The significance of Ag nanoparticles in the food industry is because of their anti-bacterial and anti-fungicidal properties, silver (Ag) is widely used in everyday products such as fabrics, pastes, polymers, food, and detergents. Manganese zinc ferrites (MnZnFe2O4) have recently piqued the interest of material science researchers due to their broad variety of applications. They are extensively used in energy storage devices, catalysts, adsorbents, sensing and imaging, therapeutic action, and other applications. © 2023 The Author(s)

关键词： Numerical methods

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Deep Networks for Medical Images Classification, a Comparative Study

Deep Networks for Medical Images Classification, a Comparati...

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Artificial Intelligence & Green Energy (ICAIGE), IEEE International Conference on

作者： Hussain K. Ibrahim Nizar Rokbani Ali Wali Adel M. Alimi National school of electronics and telecommunications (ENET'COM) of Sfax University Sfax Tunisia High Institute of Applied Sciences Technology of Sousse University of Sousse Tunisia Research Groups in Intelligent Machines (REGIM Laboratory) National Engineering School of Sfax (ENIS)University of Sfax Tunisia Information Technology Wasit University Wasit Iraq Department of Biomedical Technology College of Applied Medical Sciences in Al-Kharj Prince Sattam bin Abdulaziz University Al-Kharj Saudi Arabi Higher Institute of Computer Science and Multimedia of Sfax University of Sfax Tunisia Research Groups in Intelligent Machines (REGIM Laboratory) National Engineering School of Sfax (ENIS) Sfax University Sfax Tunisia Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg Johannesburg South Africa

ISBN: (数字)9798350389838

ISBN: (纸本)9798350389845

Machine learning (ML) and deep learning (DL) have had a significant impact on healthcare, particularly in the field of medical picture categorization, in recent years. These technologies provide a multitude of advantages that enhance the quality of patient care and increase the effectiveness of healthcare services. The primary rationale for employing (ML) and (DL) in medical picture categorization lies in their remarkable capacity to identify illnesses at an early stage. Automated classification systems has the ability to rapidly analyses and interpret pictures, surpassing the speed of human capabilities. This is particularly vital for effectively handling extensive datasets and becomes critical in emergency scenarios where prompt diagnosis is of utmost importance. The objective of this investigation is to categorize medical images into four distinct categories: normal, COVID-19, lung opacity, and viral pneumonia. In this paper three deep learning models were implemented: the classical CNN, AlexNet and GoogleNet. The comparative analysis showed that AlexNet achieved an accuracy of 96.74%, a processing time of 225 seconds, and a loss of 0.1192. The GoogleNet architecture recorded an accuracy of 93.98%, a processing time of 233 seconds, and a loss of 0.1945 while the classical CNN achieved an accuracy of 94.56%, a processing time of 315 seconds, and a loss of 0.1298. Results showed that the AlexNet has a little advantage in regrads to GoogleNet and classical CNN which report very close performances'.

关键词： Deep learning COVID-19 Green energy Accuracy Pneumonia Lungs Medical services Artificial neural networks Medical diagnostic imaging Image classification

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Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks

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computers, Materials & Continua 2021年第7期68卷 983-1001页

作者： Ajay Arunachalam Vinayakumar Ravi Moez Krichen Roobaea Alroobaea Jehad Saad Alqurni Centre for Applied Autonomous Sensor Systems(AASS) Örebro UniversityÖrebroSweden Center for Articial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Faculty of CSIT Al-Baha UniversitySaudi Arabia ReDCAD LaboratoryUniversity of SfaxTunisia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Education Technologies College of EducationImam Abdulrahman Bin Faisal UniversitySaudi Arabia

One of the key challenges in ad-hoc networks is the resource discovery *** efciently&quickly the queried resource/object can be resolved in such a highly dynamic self-evolving network is the underlying question?Broadcasting is a basic technique in the Mobile Ad-hoc Networks(MANETs),and it refers to sending a packet from one node to every other node within the transmission *** is a type of broadcast where the received packet is retransmitted once by every *** naive ooding technique oods the network with query messages,while the random walk scheme operates by contacting subsets of each node’s neighbors at every step,thereby restricting the search *** earlier works have mainly focused on the simulation-based analysis of ooding technique,and its variants,in a wired network ***,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of mobile P2P *** this article,we mathematically model different widely used existing search techniques,and compare with the proposed improved random walk method,a simple lightweight approach suitable for the non-DHT *** provide analytical expressions to measure the performance of the different ooding-based search techniques,and our proposed *** analytically derive 3 relevant key performance measures,i.e.,the *** of steps needed to nd a resource,the probability of locating a resource,and the *** of messages generated during the entire search process.

关键词： Mathematical model MANET P2P networks P2P MANET unstructured search algorithms Peer-to-Peer ad-hoc ooding random walk resource discovery content discovery mobile peer-to-peer broadcast peer

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Machine Learning Classification of Sphalerons and Black Holes at the LHC

arXiv

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arXiv 2023年

作者： Grefsrud, Aurora Singstad Buanes, Trygve Koutroulis, Fotis Lipniacka, Anna Maselek, Rafal Papaefstathiou, Andreas Sakurai, Kazuki Sjursen, Therese B. Slazyk, Igor Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Postbox 7030 Bergen5020 Norway Department of Physics and Technology University of Bergen Postboks 7803 BergenN-5020 Norway Institute of Theoretical Physics Faculty of Physics University of Warsaw ul. Pasteura 5 WarsawPL-02-093 Poland Department of Physics Kennesaw State University 830 Polytechnic Lane MariettaGA30060 United States Université Grenoble-Alpes CNRS IN2P3 53 Avenue des Martyrs GrenobleF-38026 France

In models with large extra dimensions, "miniature" black holes (BHs) might be produced in high-energy proton-proton collisions at the Large Hadron Collider (LHC). In the semi-classical regime, those BHs thermally decay, giving rise to large-multiplicity final states with jets and leptons. On the other hand, similar final states are also expected in the production of electroweak sphaleron/instanton-induced processes. We investigate whether one can discriminate these scenarios when BH or sphaleron-like events are observed in the LHC using machine learning (ML) methods. Classification among several BH scenarios with different numbers of extra dimensions and the minimal BH masses is also examined. In this study we consider three ML models: XGBoost algorithms with (1) high- and (2) low-level inputs, and (3) a Residual Convolutional Neural Network. In the latter case, the low-level detector information is converted into an input format of three-layer binned event images, where the value of each bin corresponds to the energy deposited in various detector subsystems. We demonstrate that only a small number of detected events are sufficient to effectively discriminate between the sphaleron and BH processes. Separation between BH scenarios with different minimal masses is possible with an order of 10 events passing the preselection. A sufficient number of events could be observed in combined Run-2 and -3 data, if the production cross section is not much smaller than the present limit ∼ 0.1 fb. We find, however, that a large number of events is needed to discriminate between BH hypotheses with the same minimal BH mass, but different numbers of extra dimensions. Copyright © 2023, The Authors. All rights reserved.

关键词： Stars

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CFD Based Design Optimization of Convergent-Divergent Nozzle of High-Speed Rocket Using the Taguchi Method for Enhanced Flow Characteristics

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Jordan Journal of Mechanical and Industrial Engineering 2025年第2期19卷 249-262页

作者： Bukhari, Syed Masood Arif Meraj, Bushra Husnain, Naveed Qurashi, Rashida Abbas, Waseem Anwar, Muhammad Tuoqeer Wajahat, Nida Tahir, Ali Zaman, Muhammad Farooq Department of Mechanical Engineering Faculty of Engineering and Technology Bahauddin Zakariya University Multan60800 Pakistan Government Graduate College for Women Makhdoom Rasheed Multan59100 Pakistan Institute of Physics Bahauddin Zakariya University Multan60800 Pakistan Department of Mechanical Engineering COMSATS University Islamabad Sahiwal Campus Off G.T. Road Sahiwal57000 Pakistan Department of Computer Science Government Associate College for Women Kabirwala Khanewal58250 Pakistan College of Electrical and Mechanical Engineering National University of Sciences and Technology H-12 Islamabad44000 Pakistan

Convergent-divergent (C-D) nozzles are widely used in the aerospace industry to produce thrust at the exit by increasing the velocity and converting the subsonic flow of gases at the inlet into supersonic flow at the outlet. For enhanced flow characteristics, the design of C-D nozzles must be optimized. In this study, the design parameters of the C-D nozzle of a high-speed rocket i.e. throat diameter, convergent angle, and divergent angle are optimized using the Taguchi method. Design of Experiments (DOE)is performed based on Taguchi’s L9 orthogonal array by altering the above-mentioned design parameters at three levels. Based on DOE, the nozzles are designed using SolidWorks, and Computational Fluid Dynamics (CFD) analysis is performed on ANSYS. The response flow characteristics i.e. exit Mach number, exit velocity, and exit pressure (calculated through simulations) are analyzed using the Taguchi method to find the optimized set of parameters. The results depict that shock waves appear in some of the nozzle models from DOE. Other nozzles without shock waves provide perfect supersonic flow at the outlet of the rocket nozzle by increasing the velocity and reducing the pressure. The maximum Mach number at the outlet of the C-D nozzle for the given DOE is 3.45 for the given design, a smaller throat diameter provides better results. Based on Taguchi’s S/N ratio analysis, the optimized set of design parameters that can give a high Mach number at the outlet, high velocity at the outlet, and low pressure at the outlet, is 0.304 m throat diameter, 28o convergent angle and 20o divergent angle. © 2025 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved

关键词： Supersonic flow

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Nonreciprocal dynamics of ferrimagnetic bimerons

arXiv

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arXiv 2022年

作者： Shen, Laichuan Xia, Jing Chen, Zehan Li, Xiaoguang Zhang, Xichao Tretiakov, Oleg A. Shao, Qiming Zhao, Guoping Liu, Xiaoxi Ezawa, Motohiko Zhou, Yan School Of Science And Engineering The Chinese University Of Hong Kong Guangdong Shenzhen518172 China College Of Physics And Electronic Engineering Sichuan Normal University Chengdu610068 China Department Of Electronic And Computer Engineering The Hong Kong University Of Science And Technology Clear Water Bay Kowloon Hong Kong Department Of Physics The Hong Kong University Of Science And Technology Clear Water Bay Kowloon Hong Kong Center For Advanced Material Diagnostic Technology College Of Engineering Physics Shenzhen Technology University Shenzhen518118 China Department Of Electrical And Computer Engineering Shinshu University 4-17-1 Wakasato Nagano380-8553 Japan School Of Physics The University Of New South Wales Sydney2052 Australia Guangdong-Hong Kong-Macao Joint Laboratory For Intelligent Micro-Nano Optoelectronic Technology The Hong Kong University Of Science And Technology Hong Kong Hong Kong Department Of Applied Physics The University Of Tokyo 7-3-1 Hongo Tokyo113-8656 Japan

Magnetic bimerons are topologically nontrivial spin textures in in-plane easy-axis magnets, which can be used as particle-like information carriers. Here, we report a theoretical study on the nonreciprocal dynamics of asymmetrical ferrimagnetic (FiM) bimerons induced by spin currents. The FiM bimerons have the ability to move at a speed of kilometers per second and do not show the skyrmion Hall effect at the angular momentum compensation point. Our micromagnetic simulations and analytical results demonstrate that spin currents are able to induce the nonreciprocal transport and a drift motion of the FiM bimeron even if the system is at the angular momentum compensation point. By analyzing the current-induced effective fields, we find that the nonreciprocal transport is attributed to the asymmetry of the bimeron structure. Our results are useful for understanding the physics of bimerons in ferrimagnets and may provide guidelines for building bimeron-based spintronic devices. Copyright © 2022, The Authors. All rights reserved.

关键词： Ferrimagnetism

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Approximation algorithms for job scheduling with block-type conflict graphs

arXiv

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arXiv 2022年

作者： Furmańczyk, Hanna Pikies, Tytus Sokolowska, Inka Turowski, Krzysztof Institute of Informatics Faculty of Mathematics Physics and Informatics University of Gdańsk Gdańsk80-309 Poland Department of Algorithms and System Modeling Gdańsk University of Technology Poland Theoretical Computer Science Department Jagiellonian University Poland

The problem of scheduling jobs on parallel machines (identical, uniform, or unrelated), under incompatibility relation modeled as a block graph, under the makespan optimality criterion, is considered in this paper. No two jobs that are in the relation (equivalently in the same block) may be scheduled on the same machine in this model. The presented model stems from a well-established line of research combining scheduling theory with methods relevant to graph coloring. Recently, cluster graphs and their extensions like block graphs were given additional attention. We complement hardness results provided by other researchers for block graphs by providing approximation algorithms. In particular, we provide a 2-approximation algorithm for P|G = block graph|Cmax and a PTAS for the case when the jobs are unit time in addition. In the case of uniform machines, we analyze two cases. The first one is when the number of blocks is bounded, i.e. Q|G = k-block graph|Cmax. For this case, we provide a PTAS, improving upon results presented by D. Page and R. Solis-Oba. The improvement is two-fold: we allow richer graph structure, and we allow the number of machine speeds to be part of the input. Due to strong NP-hardness of Q|G = 2-clique graph|Cmax, the result establishes the approximation status of Q|G = k-block graph|Cmax. The PTAS might be of independent interest because the problem is tightly related to the NUMERICAL k-DIMENSIONAL MATCHING WITH TARGET SUMS problem. The second case that we analyze is when the number of blocks is arbitrary, but the number of cut-vertices is bounded and jobs are of unit time. In this case, we present an exact algorithm. In addition, we present an FPTAS for graphs with bounded treewidth and a bounded number of unrelated machines. © 2022, CC BY.

关键词： Approximation algorithms

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Light-tunable three-phase coexistence in mixed halide perovskites

arXiv

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arXiv 2022年

作者： Chen, Zehua Brocks, Geert Tao, Shuxia Bobbert, Peter A. Materials Simulation and Modelling Department of Applied Physics Eindhoven University of Technology Eindhoven5600 MB Netherlands Center for Computational Energy Research Department of Applied Physics Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Computational Materials Science Faculty of Science and Technology MESA+ Institute for Nanotechnology University of Twente P.O. Box 217 Enschede7500 AE Netherlands Molecular Materials and Nanosystems Eindhoven University of Technology P.O. Box 513 EindhovenNL-5600 MB Netherlands

Mixed iodine-bromine perovskites used in solar cells undergo below a critical temperature an intrinsic demixing into phases with different iodine-bromine compositions. In addition, under illumination they show nucleation of an iodine-rich phase. We predict from thermodynamic considerations that in mixed iodine-bromine perovskites like MAPb(I1−xBrx)3 the interplay of these effects can lead to coexistence of a bromine-rich, iodine-rich, and nearly iodine-pure nucleated phase. This three-phase coexistence occurs in a region in the composition-temperature phase diagram near the critical point for intrinsic demixing. We investigate the hysteresis in the evolution of this coexistence when temperature or illumination intensity are cycled. Depending on the particular way the coexistence is established, nearly iodine-pure nuclei should form either in the iodine-rich phase only or both in the bromine-rich and iodine-rich phases. Experimental verification of this fundamentally novel type of light-tunable three-phase coexistence should be possible by a combination of absorption and photoluminescence experiments. © 2022, CC BY-NC-SA.

关键词： Iodine

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Single-Shot Single-Beam Coherent Raman Scattering Thermometry Based on Air Lasing

arXiv

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arXiv 2024年

作者： Lu, Xu Chen, Yewei Mazza, Francesco He, Siyi Li, Zihan Huang, Shunlin Wang, Quanjun Zhang, Ning Shen, Bo Wu, Yuzhu Yao, Jinping Cheng, Ya State Key Laboratory of High Field Laser Physics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Faculty of Aerospace Engineering Delft University of Technology Kluyverweg 1 Delft2629 HS Netherlands Institute of Modern Optics Nankai University Tianjin300350 China School of Microelectronics Shanghai University Shanghai200444 China

Thermometric techniques with high accuracy, fast response speed and ease of implementation are desirable for the study of dynamic combustion environments, transient reacting flows, and non-equilibrium plasmas. Herein, single-shot single-beam coherent Raman scattering (SS-CRS) thermometry is developed, for the first time to our knowledge, by using air lasing as a probe. It’s proved that the air-lasing-assisted CRS signal has a high signal-to-noise ratio enabling single-shot measurements at a 1 kHz repetition rate. The SS-CRS thermometry consistently exhibits precision better than 2% at different temperatures, but the inaccuracy grows with the increase in temperature. The high detection precision, 1 kHz acquisition rate and easy-to-implement single-beam scheme are achieved thanks to the unique temporal, spectral and spatial characteristics of air lasing. This work opens a novel avenue for high-speed CRS thermometry, holding tremendous potential for fast diagnostics of transient reacting flows and plasmas. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal to noise ratio

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