7 documents found, page 1 of 1
The CMS Phase-1 pixel detector upgrade
Adam, W.; Bergauer, T.; Bloch, D.; Dragicevic, M.; Fruhwirth, R.; Hinger, V; Steininger, H.; Beaumont, W.; Di Croce, D.; Janssen, X.; Lauwers, J.Made available in DSpace on 2021-06-25T11:52:43Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01; BMWFW (Austria); FWF (Austria); FNRS (Belgium); FWO (Belgium); CERN (Croatia); CSF (Croatia); Academy of Finland; MEC (Finland); CEA (France); CNRS/IN2P3 (France); BMBF (Germany); DFG (Germany); HGF (Germany); GSRT (Greece); Bolyai Fellowship of the Hungarian Academy of Sciences (Hungary); DAE; IPM; INF...
Precision measurement of the structure of the CMS inner tracking system using n...
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Eroe, J.Made available in DSpace on 2019-10-05T00:19:27Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-10-01; BMWFW (Austria); FWF (Austria); FNRS (Belgium); FWO (Belgium); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ); FAPERGS (Brazil); Fundação de Ampa...
Mechanical stability of the CMS strip tracker measured with a laser alignment s...
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Eroe, J.; Flechl, M.; Friedl, M.Made available in DSpace on 2018-11-28T14:21:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-04-01; Austrian Federal Ministry of Science, Research and Economy; Belgian Fonds de la Recherche Scientifique; Austrian Science Fund; Fonds voor Wetenschappelijk Onderzoek; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES);...
The XENON1T dark matter experiment
Aprile, E.; Aalbers, J.; Agostini, F.; Alfonsi, M.; Amaro, Fernando D.; Anthony, M.; Antunes, B. P.; Arneodo, F.; Balata, M.; Barrow, P.; Baudis, L.TheXENON1Texperiment at theLaboratoriNazionali del Gran Sasso (LNGS) is the first WIMP dark matter detector operating with a liquid xenon target mass above the ton-scale. Out of its 3.2 t liquid xenon inventory, 2.0 t constitute the active target of the dual-phase time projection chamber. The scintillation and ionization signals from particle interactions are detected with low-background photomultipliers. This ...
Alignment of the CMS tracker with LHC and cosmic ray data
Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Bergauer, T.; Dragicevic, M.; Eroe, J.; Fabjan, C.; Friedl, M.; Fruehwirth, R.Made available in DSpace on 2015-03-18T15:54:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-06-01Bitstream added on 2015-03-18T16:29:03Z : No. of bitstreams: 1 WOS000340036400022.pdf: 2747591 bytes, checksum: f4cbe55372fc9c485d60454f07c0b7d8 (MD5); Austrian Federal Ministry of Science and Research; Austrian Science Fund; Belgian Fonds de la Recherche Scientifique; Fonds voor Wetenschappelijk Onderzoe...
Description and performance of track and primary-vertex reconstruction with the...
Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Bergauer, T.; Dragicevic, M.; Eroe, J.; Fabjan, C.; Friedl, M.; Fruehwirth, R.Made available in DSpace on 2015-03-18T15:54:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-10-01Bitstream added on 2015-03-18T16:29:02Z : No. of bitstreams: 1 WOS000345858500052.pdf: 2901138 bytes, checksum: 07b8f06e6641f212c76bc6b675736fce (MD5); A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton ...
Joint analysis of psychiatric disorders increases accuracy of risk prediction f...
Maier, R.; Moser, G.; Chen, G.B.; Ripke, S; Cross-Disorder Working Group of the Psychiatric Genomics Consortium; Coryell, W.; Potash, J.B.Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiase...