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liquidSVM is a package written in C++ that provides SVM-type solvers for various classification and regression tasks. Because of a fully integrated hyper-parameter selection, very carefully implemented solvers, multi-threading and GPU…

Machine Learning · Statistics 2017-02-23 Ingo Steinwart , Philipp Thomann

Heavy-flavour quarks are important to probe Quark-Gluon Plasma(QGP) properties. Cold Nuclear Matter(CNM) effects can be accessed by $p$Pb collisions. LHCb is a heavy-flavour precision experiment and has collected large collision data…

High Energy Physics - Experiment · Physics 2017-10-30 Jiajia Qin

Pest and disease control plays a key role in agriculture since the damage caused by these agents are responsible for a huge economic loss every year. Based on this assumption, we create an algorithm capable of detecting rust (Hemileia…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Alvaro Leandro Cavalcante Carneiro , Lucas de Brito Silva , Marisa Silveira Almeida Renaud Faulin

Pre-trained foundation models have recently made significant progress in table-related tasks such as table understanding and reasoning. However, recognizing the structure and content of unstructured tables using Vision Large Language Models…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Yitong Zhou , Mingyue Cheng , Qingyang Mao , Feiyang Xu , Xin Li

A Python package for the analysis of dark-field X-ray microscopy (DFXM) and rocking curve imaging (RCI) data is presented. \textit{darfix} provides a set of data processing and visualization tools that can be either imported as library…

LiDAR and camera are two critical sensors for multi-modal 3D semantic segmentation and are supposed to be fused efficiently and robustly to promise safety in various real-world scenarios. However, existing multi-modal methods face two key…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Feng Jiang , Chaoping Tu , Gang Zhang , Jun Li , Hanqing Huang , Junyu Lin , Di Feng , Jian Pu

Detection and classification of vehicles are very significant components in an Intelligent-Transportation System. Existing solutions not only use heavy-weight and costly equipment, but also largely depend on constant cloud (Internet)…

Systems and Control · Electrical Eng. & Systems 2022-06-14 Chandra Shekhar , Jagnyashini Debadarshini , Sudipta Saha

QMetro++ is a Python package that provides a set of tools for identifying optimal estimation protocols that maximize quantum Fisher information (QFI). Optimization can be performed for arbitrary configurations of input states,…

Quantum Physics · Physics 2026-02-04 Piotr Dulian , Stanisław Kurdziałek , Rafał Demkowicz-Dobrzański

LHCb is the dedicated heavy flavour experiment at the Large Hadron Collider at CERN. The partially assembled silicon vertex locator (VELO) of the LHCb experiment has been tested in a beam test. The data from this beam test have been used to…

Instrumentation and Detectors · Physics 2008-11-26 M. Gersabeck , S. Viret , C. Parkes

Fine pixel CCD (FPCCD) is one of the candidate sensor technologies for the vertex detector used for experiments at the International Linear Collider (ILC). FPCCD vertex detector is supposed to be cooled down to -40 degree for improvement of…

Instrumentation and Detectors · Physics 2017-03-10 Yasuhiro Sugimoto , Keisuke Fujii , Takahiro Fusayasu , Katsuyu Kasami , Tohru Tsuboyama

This document illustrates the technical layout and the expected performance of the Micro Vertex Detector (MVD) of the PANDA experiment. The MVD will detect charged particles as close as possible to the interaction zone. Design criteria and…

Instrumentation and Detectors · Physics 2012-08-13 PANDA Collaboration , W. Erni , I. Keshelashvili , B. Krusche , M. Steinacher , Y. Heng , Z. Liu , H. Liu , X. Shen , Q. Wang , H. Xu , M. Albrecht , J. Becker , K. Eickel , F. Feldbauer , M. Fink , P. Friedel , F. H. Heinsius , T. Held , H. Koch , B. Kopf , M. Leyhe , C. Motzko , M. Pelizäus , J. Pychy , B. Roth , T. Schröder , J. Schulze , M. Steinke , T. Trifterer , U. Wiedner , J. Zhong , R. Beck , M. Becker , S. Bianco , K. -Th. Brinkmann , C. Hammann , F. Hinterberger , R. Jäkel , D. Kaiser , R. Kliemt , K. Koop , C. Schmidt , R. Schnell , U. Thoma , P. Vlasov , C. Wendel , A. Winnebeck , Th. Würschig , H. -G. Zaunick , A. Bianconi , M. Bragadireanu , M. Caprini , M. Ciubancan , D. Pantea , P. -D Tarta , M. De Napoli , F. Giacoppo , E. Rapisarda , C. Sfienti , T. Fiutowski , N. Idzik , B. Mindur , D. Przyborowski , K. Swientek , E. Bialkowski , A. Budzanowski , B. Czech , S. Kliczewski , A. Kozela , P. Kulessa , P. Lebiedowicz , K. Malgorzata , K. Pysz , W. Schäfer , R. Siudak , A. Szczurek , P. Brandys , T. Czyzewski , W. Czyzycki , M. Domagala , M. Hawryluk , G. Filo , D. Kwiatkowski , E. Lisowski , F. Lisowski , W. Bardan , D. Gil , B. Kamys , St. Kistryn , K. Korcyl , W. Krzemieñ , A. Magiera , P. Moskal , Z. Rudy , P. Salabura , J. Smyrski , A. Wroñska , M. Al-Turany , R. Arora , I. Augustin , H. Deppe , D. Dutta , H. Flemming , K. Götzen , G. Hohler , R. Karabowicz , D. Lehmann , B. Lewandowski , J. Lühning , F. Maas , H. Orth , K. Peters , T. Saito , G. Schepers , C. J. Schmidt , L. Schmitt , C. Schwarz , J. Schwiening , B. Voss , P. Wieczorek , A. Wilms , V. M. Abazov , G. D. Alexeev , V. A. Arefiev , V. I. Astakhov , M. Yu. Barabanov , B. V. Batyunya , Yu. I. Davydov , V. Kh. Dodokhov , A. A. Efremov , A. G. Fedunov , A. A. Feshchenko , A. S. Galoyan , S. Grigoryan , A. Karmokov , E. K. Koshurnikov , V. I. Lobanov , Yu. Yu. Lobanov , A. F. Makarov , L. V. Malinina , V. L. Malyshev , G. A. Mustafaev , A. G. Olshevski , M. A. Pasyuk , E. A. Perevalova , A. A. Piskun , T. A. Pocheptsov , G. Pontecorvo , V. K. Rodionov , Yu. N. Rogov , R. A. Salmin , A. G. Samartsev , M. G. Sapozhnikov , G. S. Shabratova , A. N. Skachkova , N. B. Skachkov , E. A. Strokovsky , M. K. Suleimanov , R. Sh. Teshev , V. V. Tokmenin , V. V. Uzhinsky , A. S. Vodopyanov , S. A. Zaporozhets , N. I. Zhuravlev , A. G. Zorin , D. Branford , D. Glazier , D. Watts , P. Woods , A. Britting , W. Eyrich , A. Lehmann , F. Uhlig , S. Dobbs , Z. Metreveli , K. Seth , B. Tann , A. Tomaradze , D. Bettoni , V. Carassiti , P. Dalpiaz , A. Drago , E. Fioravanti , I. Garzia , M. Negrini , M. Savriè , G. Stancari , B. Dulach , P. Gianotti , C. Guaraldo , V. Lucherini , E. Pace , A. Bersani , M. Macri , M. Marinelli , R. F. Parodi , V. Dormenev , P. Drexler , M. Düren , T. Eisner , K. Foehl , A. Hayrapetyan , P. Koch , B. Krïoch , W. Kühn , S. Lange , Y. Liang , M. Liu , O. Merle , V. Metag , M. Moritz , M. Nanova , R. Novotny , B. Spruck , H. Stenzel , C. Strackbein , M. Thiel , Q. Wang , T. Clarkson , C. Euan , G. Hill , M. Hoek , D. Ireland , R. Kaiser , T. Keri , I. Lehmann , K. Livingston , P. Lumsden , D. MacGregor , B. McKinnon , R. Montgomery , M. Murray , D. Protopopescu , G. Rosner , B. Seitz , G. Yang , M. Babai , A. K. Biegun , A. Glazenborg-Kluttig , E. Guliyev , V. S. Jothi , M. Kavatsyuk , P. Lemmens , H. Löhner , J. Messchendorp , T. Poelman , H. Smit , J. C. van der Weele , H. Sohlbach , M. Büscher , R. Dosdall , R. Dzhygadlo , S. Esch , A. Gillitzer , F. Goldenbaum , D. Grunwald , V. Jha , G. Kemmerling , H. Kleines , A. Lehrach , R. Maier , M. Mertens , H. Ohm , D. L. Pohl , D. Prasuhn , T. Randriamalala , J. Ritman , M. Roeder , G. Sterzenbach , T. Stockmanns , P. Wintz , P. Wüstner , H. Xu , J. Kisiel , S. Li , Z. Li , Z. Sun , H. Xu , K. Fissum , K. Hansen , L. Isaksson , M. Lundin , B. Schröder , P. Achenbach , A. Denig , M. Distler , M. Fritsch , D. Kangh , A. Karavdina , W. Lauth , M. Michel , M. C. Mora Espi , J. Pochodzalla , S. Sanchez , A. Sanchez-Lorente , C. Sfienti , T. Weber , V. I. Dormenev , A. A. Fedorov , M. V. Korzhik , O. V. Missevitch , V. Balanutsa , V. Chernetsky , A. Demekhin , A. Dolgolenko , P. Fedorets , A. Gerasimov , V. Goryachev , A. Boukharov , O. Malyshev , I. Marishev , A. Semenov , R. Varma , B. Ketzer , I. Konorov , A. Mann , S. Neubert , S. Paul , M. Vandenbroucke , Q. Zhang , A. Khoukaz , T. Rausmann , A. Täschner , J. Wessels , E. Baldin , K. Kotov , S. Peleganchuk , Yu. Tikhonov , T. Hennino , M. Imre , R. Kunne , C. Le Galliard , J. P. Le Normand , D. Marchand , A. Maroni , S. Ong , J. Pouthas , B. Ramstein , P. Rosier , M. Sudol , C. Theneau , E. Tomasi-Gustafsson , J. Van de Wiele , T. Zerguerras , G. Boca , A. Braghieri , S. Costanza , A. Fontana , P. Genova , L. Lavezzi , P. Montagna , A. Rotondi , V. Buda , V. V. Abramov , A. M. Davidenko , A. A. Derevschikov , Y. M. Goncharenko , V. N. Grishin , V. A. Kachanov , D. A. Konstantinov , V. A. Kormilitsin , Y. A. Matulenko , Y. M. Melnik , A. P. Meschanin , N. G. Minaev , V. V. Mochalov , D. A. Morozov , L. V. Nogach , S. B. Nurushev , A. V. Ryazantsev , P. A. Semenov , L. F. Soloviev , A. V. Uzunian , A. N. Vasiliev , A. E. Yakutin , S. Belostotski , G. Gavrilov , A. Itzotov , A. Kisselev , P. Kravchenko , S. Manaenkov , O. Miklukho , Y. Naryshkin , D. Veretennikov , V. Vikhrov , A. Zhadanov , T. Bäck , B. Cederwall , C. Bargholtz , L. Gerén , P. E. Tegnér , P. Thørngren , K. M. von Würtemberg , L. Fava , D. Alberto , A. Amoroso , M. P. Bussa , L. Busso , F. De Mori , M. Destefanis , L. Ferrero , M. Greco , T. Kugathasan , M. Maggiora , S. Marcello , S. Sosio , S. Spataro , D. Calvo , S. Coli , P. De Remigis , A. Filippi , G. Giraudo , S. Lusso , G. Mazza , M. Mignone , A. Rivetti , R. Wheadon , L. Zotti , O. Morra , F. Iazzi , A. Lavagno , P. Quarati , K. Szymanska , R. Birsa , F. Bradamante , A. Bressan , A. Martin , H. Clement , B. Galnander , H. Calén , K. Fransson , T. Johansson , A. Kupsc , P. Marciniewski , E. Thomé , M. Wolke , J. Zlomanczuk , J. Díaz , A. Ortiz , P. Buda , K. Dmowski , R. Korzeniewski , D. Przemyslaw , B. Slowinski , S. Borsuk , A. Chlopik , Z. Guzik , J. Kopec , T. Kozlowski , D. Melnychuk , M. Plominski , J. Szewinski , K. Traczyk , B. Zwieglinski , P. Bühler , A. Gruber , P. Kienle , J. Marton , E. Widmann , J. Zmeskal

Although fusing multiple sensor modalities can enhance object detection performance, existing fusion approaches often overlook subtle variations in environmental conditions and sensor inputs. As a result, they struggle to adaptively weight…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Aditya Taparia , Noel Ngu , Mario Leiva , Joshua Shay Kricheli , John Corcoran , Nathaniel D. Bastian , Gerardo Simari , Paulo Shakarian , Ransalu Senanayake

Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to…

High Energy Physics - Experiment · Physics 2022-03-22 CMS Collaboration

This paper studies the problem of fault detection and estimation (FDE) for linear time-invariant (LTI) systems with a particular focus on frequency content information of faults, possibly as multiple disjoint continuum ranges, and under…

Systems and Control · Electrical Eng. & Systems 2024-10-02 Jingwei Dong , Kaikai Pan , Sergio Pequito , Peyman Mohajerin Esfahani

We have developed a prototype system for the ILC vertex detector based on DEPFET pixels. The system operates a 128x64 matrix (with ~35x25 square micron large pixels) and uses two dedicated microchips, the SWITCHER II chip for matrix…

"Soft" muons with a transverse momentum below 10 GeV are featured in many processes studied by the CMS experiment, such as decays of heavy-flavor hadrons or rare tau lepton decays. Maximizing the selection efficiency for these muons, while…

High Energy Physics - Experiment · Physics 2025-04-22 CMS Collaboration

The RBC and UKQCD Collaborations continue to produce 2+1 flavor domain wall fermion ensembles, currently focusing on an ensemble with a $96^3 \times 192$ volume on SUMMIT at ORNL with $1/a \approx 2.8$ GeV, and smaller ensembles at stronger…

High Energy Physics - Lattice · Physics 2020-01-01 Robert D. Mawhinney

Significant progress has been made to develop silicon pixel technologies for use in the vertex and tracker regions of the proposed Compact Linear Collider (CLIC) detector design. The electron-positron collisions generated by this linear…

Instrumentation and Detectors · Physics 2020-04-22 Morag Williams

In this review article, we highlight the impact of models incorporating flavour symmetries on charged lepton flavour violating (LFV) processes. Flavour symmetries provide a natural approach to explain the peculiar mass hierarchies and…

High Energy Physics - Phenomenology · Physics 2015-06-05 Frank F. Deppisch

Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and…

Instrumentation and Detectors · Physics 2018-05-10 CMS Collaboration