Search:
	any fieldabstractaffiliationauthorauthor countcaptioncited bycodencollaborationcollectiondate createddate modifieddivisionexact authorexact first authorexperimentfirst authorfulltextisbnissnjournalkeywordrecord IDreferencerefers toreport numbersubjecttitleyear
Search Tips :: Advanced Search

Search collections:

*** any public collection ***Belle II Document ServerBelle II MultimediaBelle II Notes (Internal)Belle II Notes (Public)Belle II Notes : PhysicsBelle II Notes : Approved plot...Belle II Notes: TechnicalBelle II PicturesBelle II VideosBooksBooks, Theses & ReportsConference postersConference SubmissionsPapersProceedingsPublic TalksProceeding and Paper Drafts (I...Paper Drafts (Internal)Talk Drafts (Internal)Poster drafts (Internal)Drafts (Internal)Masters ThesesMultimedia ResourcesPapersPapers : PhysicsPapers : TechnicalPhD ThesesPictures (Internal)PostersPublic MemoReportsTalksThesesUndergraduate ThesesVideos (Internal)

Sort by:	Display results:	Output format:
latest firsttitleauthorreport numberyear asc.desc. - or rank by -word similaritytimes cited	10 results25 results50 results100 results single listsplit by collection	BibTeXDublin CoreEndNoteEndNote (8-X)HTML briefHTML citesummaryHTML detailedMARCMARCXMLMODSNLMphoto captions onlyportfolioRefWorks

Belle II Document Server

7 records found

Search took 0.00 seconds.

1.	Identification of slow pions by Support Vector Machines: Identifizierung von langsamen Pionen durch Support Vector Machines / Timo Schellhaas ; Jens Sören Lange [BELLE2-UTHESIS-2022-001] Presented on 28 03 2022 BSc 2022 II. Institute of Physics / Giessen Slow pions are classified based upon a pattern recognition algorithm using 9x9 pixel matrices in the PXD as input pattern [...] Fulltext: PDF; Detailed record - Similar records
2.	Employing Deep Learning to Find Slow Pions in the Pixel Detector in the Belle II Experiment / Johannes Bilk ; Jens Sören Lange [BELLE2-MTHESIS-2021-081] Presented on 25 11 2021 MSc 2021 II. Institute of Physics / Giessen Slow pions (pT<230 MeV/c) are detected and classified based exclisively upon their cluster shape in the PXD, using a neural network (NN) performing image processing [...] Fulltext: PDF; Detailed record - Similar records
3.	Firmware Implementations for the Upgrade of the Data Acquisition System of the Belle II Pixel Detector / Matthäus Krein ; Simon Reiter ; Thomas Geßler ; Jens Sören Lange [BELLE2-MTHESIS-2021-080] Presented on 20 12 2021 MSc 2021 II. Institute of Physics / Giessen Parts of the ONSEN system firmware ("merger carrier" firmware), integrated in the present PXD readout, have been upgraded to a new FPGA platform, namely Kintex UltraScale 060 [...] Fulltext: PDF; Detailed record - Similar records
4.	High Speed Data Multiplexer for the Belle II Pixel Detector & Search for an Exotic Resonance at the D*0 anti-D*0 Threshold in Charged B Meson Decays / Klemens Lautenbach ; Jens Sören Lange [BELLE2-PTHESIS-2021-002] Presented on 08 02 2021 PhD 2021 II. Institute of Physics (Subatomic Physics) / Giessen In the physics part of the thesis, the exotic state X(4014) is studied for Belle II. [...] Fulltext: PDF; Detailed record - Similar records
5.	Belle II pixeldetector cluster analyses using neural network algorithms / Stephanie Käs ; Jens Sören Lange ; Katharina Dort ; Marvin Peter ; et al [BELLE2-TALK-DRAFT-2021-027] [BELLE2-TALK-CONF-2021-016] 09 March 2021 / DPG Spring Meeting 2021 The Belle II DEPFET pixeldetector is operating since 2019, presently with 4 M pixels and trigger rates up to 5 kHz. [...] Fulltext: PDF; Detailed record - Similar records
6.	Identification of exotic highly ionising particles at the Belle II pixel detector using unsupervised autoencoders / Katharina Dort ; Stephanie Käs ; Jens Sören Lange [BELLE2-TALK-DRAFT-2021-028] [BELLE2-TALK-CONF-2021-015] 09 March 2021 / DPG Spring Meeting 2021 The Belle II experiment at the high luminosity SuperKEKB e+e- collider has started operation in 2018. [...] Fulltext: PDF; Detailed record - Similar records
7.	Multiparameter Analysis of the Belle II Pixeldetector’s Data Using Principal Components Analysis and Neural Networks / Stephanie Käs ; Jens Sören Lange [BELLE2-UTHESIS-2019-001] Presented on 01 07 2019 BSc 2019 II. Physics Institute / Giessen In a recent thesis, the use of self-organising maps (SOM) and feed forward networks for classification processes was applied in the analysis of data from Belle II’s pixel vertex detector. [...] Fulltext: PDF; Detailed record - Similar records

Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.

Haven't found what you were looking for? Try your search on other servers:
Jens Sören Lange in Amazon Jens Sören Lange in CERN EDMS Jens Sören Lange in CERN Indico Jens Sören Lange in CERN Intranet Jens Sören Lange in CiteSeer Jens Sören Lange in Google Books Jens Sören Lange in Google Scholar Jens Sören Lange in Google Web Jens Sören Lange in IEC	Jens Sören Lange in IHS Jens Sören Lange in INSPEC Jens Sören Lange in INSPIRE Jens Sören Lange in ISO Jens Sören Lange in KISS Books/Journals Jens Sören Lange in KISS Preprints Jens Sören Lange in NEBIS Jens Sören Lange in SLAC Library Catalog Jens Sören Lange in Scirus