Search results for "AMS"

showing 10 items of 1497 documents

Electron and photon energy calibration with the ATLAS detector using 2015-2016 LHC proton-proton collision data

2019

Artículo realizado por muchos autores. Solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración y los autores que firman como pertenecientes a la UAM

Z0 --> electron positronJ/psi(3100) --> electron positronProton13000 GeV-cmsparticle identification [electron]ElectronZ0 --> electron positronelectron: transverse momentum01 natural sciencesphoton: particle identificationSubatomär fysik0302 clinical medicinescattering [p p]Nuclear Experiment proton–proton collisionsLarge Hadron ColliderCalibration and fittingphoton: transverse momentumand fitting methodsphoton: energy:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]calibration [energy]CERN LHC Collcalibration and fitting methodcolliding beams [p p]transverse momentum [electron]p p: scatteringCiências Naturais::Ciências Físicas610LHC ATLAS High Energy PhysicsPhoton energyFitting methodsJ/psi(3100) --> electron positronradiative decay [J/psi(3100)]Nuclear physicsMomentum03 medical and health sciencesAtlas (anatomy)High Energy Physicspair production [electron]CALORIMETERScience & Technologyradiative decay [Z0]electron: particle identification010308 nuclear & particles physicsenergy [photon]Acceleratorfysik och instrumentering jets energy: calibrationCalorimeter methodExperimental High Energy PhysicsPerformance of High Energy Physics Detectorsp p: colliding beamsacceptancetransverse momentum [photon]PhotonJ/psi(3100): radiative decayCalorimeter methods; Pattern recognition cluster finding calibration; and fitting methods; Performance of High Energy Physics Detectors; PARTON DISTRIBUTIONS; LIQUID AR; CALORIMETER; KR030218 nuclear medicine & medical imagingHigh Energy Physics - Experimentelectron: pair productionHigh Energy Physics - Experiment (hep-ex)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Collisions Calorimeter methodsInstrumentationMathematical PhysicsBosonPhysicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica Sperimentalecalibration and fitting methodsATLASLIQUID ARmedicine.anatomical_structureKRCalibrationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics Detectors; Instrumentation; Mathematical PhysicsParticle Physics - Experiment530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesZ0: radiative decayAccelerator Physics and Instrumentationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics DetectorsPattern recognition0103 physical sciencesmedicineddc:610hep-exCluster finding:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]particle identification [photon]FísicaPARTON DISTRIBUTIONSHigh Energy Physics::Experimentexperimental results
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Zvaigžņotā Debess: 2004, Rudens (185)

2004

Contents: L.Kondraševa and I.Zimina. New Riga Planetarium ; I.Rabinovičs. Remembering Fricis Blumbahs ; N.Cimahoviča. 50 cm Reflector Constructed in Riga ; J.Tambergs. Problems of Dialogue between Quantum Mechanics and Theology. A.Alksnis, Z.Alksne. The Sloan Great Wall ; A.Balklavs. Radio Galaxy – Emitter of Very High Energy Gamma-Rays ; A.Balklavs. Cosmic Objects in Photos – 2 ; A.Balklavs. New Assessments of Fine-Structure Constant Variability ; N.Cimahoviča. Dark Electric Matter Objects Around Us ; A.Balklavs. New Data on the Solar Granulation ; J.Jaunbergs. The Sinking Cliffs on Io ; D.Krieviņš. Space Launchers of Early XXI Century ; M.Sudārs. SpaceShipOne Closest to X-Prize ; J.Harja.…

Zinātniskie un reliģiskie priekštatiKosmosa kuģis SpaceShipOneAsteroīdu krāsaMasīvākā maiņzvaigzne LVB 1806-20Krustvārdu mīklaPundurgalaktikas M32 un M110“Cassini” – SaturnsAustrālijas un Jaunzēlandes latviešu dāvana Baldones observatorijaiAndromedas galaktika M31 - pavadoņiPrimārās kosmiskās daļiņasGotlībs Frīdrihs Teodors VitramsMarsa rūsaLasītāju vēstules – Venēra uz Saules diska Perseīdas 2004Fricis BlumbahsSīkstruktūras konstante – izmaiņas novērtējumiHabla kosmiskais teleskops – jauni zinātniskie instrumentiZinātnes finansējums LatvijāJuris Arturs BAlodis par "Zvaigžņotā Debess"Venēra pāri SauleiSaules granulācijaJānis LintersLaiktelpa un laiksJuris Ekmanis par "Zvaigžņotā Debess"Asteroīds 2004 JG 6Galaktikas M87 radioattēlsVenēras un Saules novērojumi EsplanādēKārļa Kaufmaņa stipendijaKosmiskie transportlīdzekļi – ASVPanspermijaLatvijas atklātā fizikas olimpiādeJānis Stradiņš par "Zvaigžņotā Debess"LU profesors Jāzeps Eiduss – „Pagājība”“Messenger” – MerkursRīgas planetārijsStarptautiskā lāzerlokācijas konferenceMarsa robots “Opportunity”Jupitera pavadoņa Jo klintisAstronomiskās parādības - 2004Kvantu mehānika un teoloģijaFizikas un astronomijas mācīšana skolāLondonas universitātes Berkbeka koledžaSlouna digitālais debess apskatsLU docents Tomass RomanovskisMarsa robots “Spirit”Miglāji – Spirāles Hanteles Zīmuļa Andromedas Omega
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Zvaigžņotā Debess: 2012/13, Ziema (218)

2012

Saturs: Dienas kārtībā – «melnie caurumi» ; «Pioneer-10» dodas uz Jupiteru ; A.Alksnis. Dīvains miglājs, kam daudz nosaukumu ; M.Ņečajeva, I.Šmelds. Jonosfēras pētījumi Ventspils Starptautiskajā radioastronomijas centrā ; L.Gulbe. Satelīts ne tikai televīzijai, bet arī mežu uzraudzībai ; I.Ķešāns. Nīls Ārmstrongs ; Pirmo reizi “ZvD”: Ints Ķešāns ; E.Bervalds. Par Jāņa Ikaunieka iecerēm un VSRC (nobeigums) ; J.Dambītis, A.Cibulis. Ievērojamais Latvijas matemātiķis Arvīds Lūsis (1900–1969) ; A.Alksnis. LVU astronomijas specialitātes studenti – 1952. gada diplomandi (3.turpin.) ; I.D., I.P. Šoziem atceramies: Arturs Balklavs-Grīnhofs (2.I 1933.) – 80, Ernests Grasbergs (8.III 1938.) – 75 ; K.Š…

Zīmuļa miglājs NGC 2736 – Raganas slotaLatvijas 37.atklātā fizikas olimpiāde – uzdevumi un atrisinājumiNīls Ārmstrongs (1930-2012)Matemātiķis Arvīds Lūsis (1900-1969)Zvaigžņu tēma mākslā – dzeja un zīmējumiJānis IkaunieksTehniskās jaunrades nams “Annas 2” – astronomija:NATURAL SCIENCES::Physics::Astronomy and astrophysics [Research Subject Categories]māksla-skaitļi-astronomija [Homo sapiens]Saules halo (Zilais kalns)Edmunds Tukišs (1943-2012)Jonosfēras pētījumi - Ventspils Starptautiskajā radioastronomijas centrsLU Astronomijas institūts – bibliotēkaErnestam Grasbergam – 75Satelīts mežu uzraudzībaiLatvijas 40.atklātā skolēnu astronomijas olimpiāde – uzdevumi un atrisinājumiArturam Balklavam-Grīnhofam – 80Marss – Geila krāteris„ZvD” LU e-resursu repozitārijāLVU astronomijas studenti – 1952.gada diplomandiAstronomiskās parādības – 2012/13.gada ziemā
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SCALESEM : Evaluation of Semantic Graph based on Model Checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modelling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns …

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationModel-checking[INFO.INFO-WB] Computer Science [cs]/WebTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSSemantic graph[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebTemporal logic[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationTemporal logic.
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Qualifying semantic graphs using model checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns t…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSocial Semantic Webtemporal logicSemantic similaritySemantic computing0202 electrical engineering electronic engineering information engineeringSemantic analyticsSemantic integrationSemantic Web StackInformation retrievalbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebSemantic search020207 software engineeringSemantic interoperability[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationModel-checking010201 computation theory & mathematicsSemantic graphTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligencebusinesscomputerNatural language processing2011 International Conference on Innovations in Information Technology
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Geometric représentations of the braid groups

2010

We show that the morphisms from the braid group with n strands in the mapping class group of a surface with a possible non empty boundary, assuming that its genus is smaller or equal to n/2 are either cyclic morphisms (their images are cyclic groups), or transvections of monodromy morphisms (up to multiplication by an element in the centralizer of the image, the image of a standard generator of the braid group is a Dehn twist, and the images of two consecutive standard generators are two Dehn twists along two curves intersecting in one point). As a corollary, we determine the endomorphisms, the injective endomorphisms, the automorphisms and the outer automorphism group of the following grou…

[ MATH ] Mathematics [math]rigidité[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]morphisme de monodromieification de Nielsen Thurstonbraid groupGroup Theory (math.GR)[MATH] Mathematics [math]groupe de difféotopies[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]monodromieFOS: Mathematicssurface[MATH]Mathematics [math]représentation géométriquetransvectionmonodromymapping class groupMathematics::Geometric TopologyrigidityNielsen-Thurstongroupe de tressesAMS Subject Classification: Primary 20F38 57M07. Secondary 57M99 20F36 20E36 57M05.mapping groupMathematics - Group Theorygroupe de diffétopies
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Compressed Drinfeld associators

2004

Drinfeld associator is a key tool in computing the Kontsevich integral of knots. A Drinfeld associator is a series in two non-commuting variables, satisfying highly complicated algebraic equations - hexagon and pentagon. The logarithm of a Drinfeld associator lives in the Lie algbera L generated by the symbols a,b,c modulo [a,b]=[b,c]=[c,a]. The main result is a description of compressed associators that satisfy the compressed pentagon and hexagon in the quotient L/[[L,L],[L,L]]. The key ingredient is an explicit form of Campbell-Baker-Hausdorff formula in the case when all commutators commute.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]Hexagon equationPure mathematicsCampbell–Baker–Hausdorff formulaKnotLie algebraModuloCompressed Vassiliev invariantsPentagon equation01 natural sciencessymbols.namesakeMathematics - Geometric TopologyChord diagramsExtended Bernoulli numbers[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]Mathematics::Quantum Algebra0103 physical sciencesLie algebraMathematics - Quantum AlgebraFOS: MathematicsQuantum Algebra (math.QA)0101 mathematicsAlgebraic numberBernoulli numberQuotientMathematics[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]Zeta functionDiscrete mathematics[MATH.MATH-QA] Mathematics [math]/Quantum Algebra [math.QA]Algebra and Number TheoryVassiliev invariants[ MATH.MATH-QA ] Mathematics [math]/Quantum Algebra [math.QA]Drinfeld associator57M25 57M27 11B68 17B01010102 general mathematicsAssociatorQuantum algebraGeometric Topology (math.GT)Kontsevich integralRiemann zeta functionsymbols[MATH.MATH-QA]Mathematics [math]/Quantum Algebra [math.QA]Compressed associator010307 mathematical physicsBernoulli numbers
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Learning Bag of Spatio-Temporal Features for Human Interaction Recognition

2019

Bag of Visual Words Model (BoVW) has achieved impressive performance on human activity recognition. However, it is extremely difficult to capture high-level semantic meanings behind video features with this method as the spatiotemporal distribution of visual words is ignored, preventing localization of the interactions within a video. In this paper, we propose a supervised learning framework that automatically recognizes high-level human interaction based on a bag of spatiotemporal visual features. At first, a representative baseline keyframe that captures the major body parts of the interacting persons is selected and the bounding boxes containing persons are extracted to parse the poses o…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Sum of HistogramsBag of Visual WordsHuman interaction[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingSVMEdge-based regionMSER3D-SIFT
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Vertex Distinguishing Edge- and Total-Colorings of Cartesian and other Product Graphs

2012

International audience; This paper studies edge- and total-colorings of graphs in which (all or only adjacent) vertices are distinguished by their sets of colors. We provide bounds for the minimum number of colors needed for such colorings for the Cartesian product of graphs along with exact results for generalized hypercubes. We also present general bounds for the direct, strong and lexicographic products.

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]total coloringadjacent vertex-distinguishingvertex-distinguishingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONedge-coloring[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]graphgraph productsAMS 05C15[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]total adjacent vertex-distinguishingMathematicsofComputing_DISCRETEMATHEMATICS
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Additive functionals and push forward measures under Veretennikov's flow

2014

16 pages; In this work, we will be interested in the push forward measure $(\vf_t)_*\gamma$, where $\vf_t$ is defined by the stochastic differential equation \begin{equation*} d\vf_t(x)=dW_t + \ba(\vf_t(x))dt, \quad \vf_0(x)=x\in\mbR^m, \end{equation*} and $\gamma$ is the standard Gaussian measure. We will prove the existence of density under the hypothesis that the divergence $\div(\ba)$ is not a function, but a signed measure belonging to a Kato class; the density will be expressed with help of the additive functional associated to $\div(\ba)$.

[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]010102 general mathematicsstochastic flowsAdditive functionalsmeasures in Kato class0101 mathematics01 natural sciencesAMS 2000 subject classifications. Primary 60H10; secondary 60J35 60J60.[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]
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