LEADER 02563 am 22004933u 450 001 9910220014003321 005 20230809225608.0 010 $a82-02-56778-5 035 $a(CKB)3800000000216577 035 $a(NO-OsBAS)150311317 035 $aBOKBASEN:25025 035 $a(EXLCZ)993800000000216577 100 $a20190211h2017|||| k|| 0 101 0 $anob 135 $aurm|#---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAksjonsforskning i Norge $eteoretisk og empirisk mangfold$fGjøtterud, Hiim, Husebø, Jensen, Steen-Olsen og Stjernestrøm (red.) 205 $aDigital original 210 1$a[Oslo]$cCappelen Damm akademisk$cNOASP$d[2017] 215 $a1 online resource (469 pages) $cillustrations; digital, PDF file(s) 311 $a82-02-52981-6 320 $aIncludes bibliographical references. 330 $aAntologien Aksjonsforskning i Norge. Teoretisk og empirisk mangfold består av tjue vitenskapelige artikler innen utdanning, helse, vitensentre, kunst og arbeidsliv. Antologien gir et innblikk i historisk utvikling, grunnlagstenkning, teoretiske og metodologiske diskusjoner innen aksjonsforskningsfeltet. Den tar opp spørsmål om deltakelse, erfaringskunnskap og dialog som grunnlag for kunnskapsutvikling. Boka spenner over temaer som profesjonsutvikling, fagutvikling, praksisutvikling og organisasjonsutvikling, og de empiriske artiklene har fokus på å bygge bro mellom teori og praksis for å forstå, utvikle og endre praksis. Antologien viser også hvordan utforskende arbeidsmåter, selvstudier og forskning i egen organisasjon kan bidra til læring og kunnskapsutvikling. Antologien setter fokus på betydningen av å utvikle gode utdanningstilbud i aksjonsforskning på master- og Ph.d.-nivå, og argumenterer for viktigheten av å styrke forskerutdanning på dette feltet. 606 $aAction research$zNorway 606 $aAction research in education 606 $aResearch$zNorway 615 0$aAction research 615 0$aAction research in education. 615 0$aResearch 676 $a001.4 702 $aGjøtterud$b Sigrid M$f1956-$4edt 702 $aHiim$b Hilde$f1952-$4edt 702 $aHusebø$b Dag$f1972-$4edt 702 $aJensen$b Liv Helene$f1952-$4edt 702 $aSteen-Olsen$b Tove$f1945-$4edt 702 $aStjernstrøm$b Else$f1949-$4edt 801 0$bNO-OsBAS 852 1 $h001.4$iA 906 $aBOOK 912 $a9910220014003321 996 $aAksjonsforskning i Norge$91975769 997 $aUNINA LEADER 03693nam 22007693 450 001 996466747103316 005 20231110225614.0 010 $a3-030-65771-X 035 $a(CKB)4100000011781569 035 $a(MiAaPQ)EBC6509884 035 $a(Au-PeEL)EBL6509884 035 $a(OCoLC)1240210729 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64081 035 $a(PPN)253859204 035 $a(EXLCZ)994100000011781569 100 $a20210901d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors 210 $cSpringer Nature$d2021 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$d©2021. 215 $a1 online resource (208 pages) 225 1 $aParticle Acceleration and Detection 311 $a3-030-65770-1 330 $aThis open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments. 410 0$aParticle Acceleration and Detection 606 $aParticle & high-energy physics$2bicssc 606 $aMensuration & systems of measurement$2bicssc 606 $aPattern recognition$2bicssc 606 $aMathematical physics$2bicssc 610 $aParticle Acceleration and Detection, Beam Physics 610 $aMeasurement Science and Instrumentation 610 $aPattern Recognition 610 $aNumerical and Computational Physics, Simulation 610 $aAccelerator Physics 610 $aAutomated Pattern Recognition 610 $aTheoretical, Mathematical and Computational Physics 610 $aEvent reconstruction 610 $aTracking detectors in High Energy Physics 610 $aVertex reconstruction 610 $aClustering algorithms 610 $aExperimental High-Energy Physics 610 $aLHC 610 $aCalolimator for pattern recognition 610 $aVertex of particle collision 610 $aTriggering event and data analysis 610 $aOpen access 610 $aParticle & high-energy physics 610 $aScientific standards, measurement etc 610 $aMathematical physics 615 7$aParticle & high-energy physics 615 7$aMensuration & systems of measurement 615 7$aPattern recognition 615 7$aMathematical physics 700 $au?hwirth$b Rudolf$01023233 701 $aStrandlie$b Are$01023234 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466747103316 996 $aPattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors$92430795 997 $aUNISA