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  1. Buch ; Online: Reconstruction Error-based Anomaly Detection with Few Outlying Examples

    Angiulli, Fabrizio / Fassetti, Fabio / Ferragina, Luca

    2023  

    Abstract: Reconstruction error-based neural architectures constitute a classical deep learning approach to anomaly detection which has shown great performances. It consists in training an Autoencoder to reconstruct a set of examples deemed to represent the ... ...

    Abstract Reconstruction error-based neural architectures constitute a classical deep learning approach to anomaly detection which has shown great performances. It consists in training an Autoencoder to reconstruct a set of examples deemed to represent the normality and then to point out as anomalies those data that show a sufficiently large reconstruction error. Unfortunately, these architectures often become able to well reconstruct also the anomalies in the data. This phenomenon is more evident when there are anomalies in the training set. In particular when these anomalies are labeled, a setting called semi-supervised, the best way to train Autoencoders is to ignore anomalies and minimize the reconstruction error on normal data. The goal of this work is to investigate approaches to allow reconstruction error-based architectures to instruct the model to put known anomalies outside of the domain description of the normal data. Specifically, our strategy exploits a limited number of anomalous examples to increase the contrast between the reconstruction error associated with normal examples and those associated with both known and unknown anomalies, thus enhancing anomaly detection performances. The experiments show that this new procedure achieves better performances than the standard Autoencoder approach and the main deep learning techniques for semi-supervised anomaly detection.
    Schlagwörter Computer Science - Machine Learning
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2023-05-17
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Active optics primary mirror support system for the 2.6 m VST telescope.

    Schipani, Pietro / D'Orsi, Sergio / Ferragina, Luigi / Fierro, Davide / Marty, Laurent / Molfese, Cesare / Perrotta, Francesco

    Applied optics

    2010  Band 49, Heft 8, Seite(n) 1234–1241

    Abstract: The Very Large Telescope Survey Telescope (VST) is equipped with an active optics system in order to correct low-order aberrations. The 2.6 m primary mirror is supported both axially and laterally and is surrounded by several safety devices for ... ...

    Abstract The Very Large Telescope Survey Telescope (VST) is equipped with an active optics system in order to correct low-order aberrations. The 2.6 m primary mirror is supported both axially and laterally and is surrounded by several safety devices for earthquake protection. We describe the mirror support system and discuss the results of the qualification test campaign.
    Sprache Englisch
    Erscheinungsdatum 2010-03-10
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.49.001234
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Buch ; Online: Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20$-$300 GeV/c

    Acar, B. / Adamov, G. / Adloff, C. / Afanasiev, S. / Akchurin, N. / Akgün, B. / Alhusseini, M. / Alison, J. / de Almeida, J. P. Figueiredo de sa Sousa / de Almeida, P. G. Dias / Alpana, A. / Alyari, M. / Andreev, I. / Aras, U. / Aspell, P. / Atakisi, I. O. / Bach, O. / Baden, A. / Bakas, G. /
    Bakshi, A. / Banerjee, S. / DeBarbaro, P. / Bargassa, P. / Barney, D. / Beaudette, F. / Beaujean, F. / Becheva, E. / Becker, A. / Behera, P. / Belloni, A. / Bergauer, T. / Berni, M. El / Besancon, M. / Bhattacharya, S. / Bhowmik, D. / Bilki, B. / Bilokin, S. / Blazey, G. C. / Blekman, F. / Bloch, P. / Bodek, A. / Bonanomi, M. / Bonis, J. / Bonnemaison, A. / Bonomally, S. / Borg, J. / Bouyjou, F. / Bower, N. / Braga, D. / Brennan, L. / Brianne, E. / Brondolin, E. / Bryant, P. / Buhmann, E. / Buhmann, P. / Butler-Nalin, A. / Bychkova, O. / Callier, S. / Calvet, D. / Canderan, K. / Cankocak, K. / Cao, X. / Cappati, A. / Caraway, B. / Caregari, S. / Carty, C. / Cauchois, A. / Ceard, L. / Cerci, D. S. / Cerci, S. / Cerminara, G. / Chadeeva, M. / Charitonidis, N. / Chatterjee, R. / Chen, J. A. / Chen, Y. M. / Cheng, H. J. / Cheng, K. Y. / Cheung, H. / Chokheli, D. / Cipriani, M. / Čoko, D. / Couderc, F. / Cuba, E. / Danilov, M. / Dannheim, D. / Daoud, W. / Das, I. / Dauncey, P. / Davies, G. / Davignon, O. / Day, E. / Debbins, P. / Defranchis, M. M. / Delagnes, E. / Demiragli, Z. / Demirbas, U. / Derylo, G. / Diaz, D. / Diehl, L. / Dinaucourt, P. / Dincer, G. G. / Dittmann, J. / Dragicevic, M. / Dugad, S. / Dulucq, F. / Dumanoglu, I. / Dünser, M. / Dutta, S. / Dutta, V. / Edberg, T. K. / Elias, F. / Emberger, L. / Eno, S. C. / Ershov, Yu. / Extier, S. / Fahim, F. / Fallon, C. / Fard, K. Sarbandi / Fedi, G. / Ferragina, L. / Forthomme, L. / Frahm, E. / Franzoni, G. / Freeman, J. / French, T. / Gadow, K. / Gandhi, P. / Ganjour, S. / Gao, X. / Garcia, M. T. Ramos / Garcia-Bellido, A. / Garutti, E. / Gastaldi, F. / Gastler, D. / Gecse, Z. / Germer, A. / Gerwig, H. / Gevin, O. / Ghosh, S. / Gilbert, A. / Gilbert, W. / Gill, K. / Gingu, C. / Gninenko, S. / Golunov, A. / Golutvin, I. / Gonultas, B. / Gorbounov, N. / Göttlicher, P. / Gouskos, L. / Graf, C. / Gray, A. B. / Grieco, C. / Gr\"önroos, S. / Gu, Y. / Guilloux, F. / Guler, E. Gurpinar / Guler, Y. / Gülmez, E. / Guo, J. / Gutti, H. / Hakimi, A. / Hammer, M. / Hartbrich, O. / Hassanshahi, H. M. / Hatakeyama, K. / Hazen, E. / Heering, A. / Hegde, V. / Heintz, U. / Heuchel, D. / Hinton, N. / Hirschauer, J. / Hoff, J. / Hou, W. S. / Hou, X. / Hua, H. / Huck, S. / Hussain, A. / Incandela, J. / Irles, A. / Irshad, A. / Isik, C. / Jain, S. / Jaroslavceva, J. / Jheng, H. R. / Joshi, U. / Kaadze, K. / Kachanov, V. / Kalipoliti, L. / Kaminskiy, A. / Kanuganti, A. R. / Kao, Y. W. / Kapoor, A. / Kara, O. / Karneyeu, A. / Kałuzińska, O. / Kaya, M. / Kaya, O. / Kazhykharim, Y. / Khan, F. A. / Khukhunaishvili, A. / Kieseler, J. / Kilpatrick, M. / Kim, S. / Koetz, K. / Kolberg, T. / Komm, M. / Köseyan, O. K. / Kraus, V. / Krawczyk, M. / Kristiansen, K. / Kristić, A. / Krohn, M. / Kronheim, B. / Krüger, K. / Kulis, S. / Kumar, M. / Kunori, S. / Kuo, C. M. / Kuryatkov, V. / Kvasnicka, J. / Kyre, S. / Lai, Y. / Lamichhane, K. / Landsberg, G. / Lange, C. / Langford, J. / Laurien, S. / Lee, M. Y. / Lee, S. W. / Leiton, A. G. Stahl / Levin, A. / Li, A. / Li, J. H. / Li, Y. Y. / Liang, Z. / Liao, H. / Lin, Z. / Lincoln, D. / Linssen, L. / Lipton, R. / Liu, G. / Liu, Y. / Lobanov, A. / Lohezic, V. / Lomidze, D. / Lu, R. S. / Lu, S. / Lupi, M. / Lysova, I. / Magnan, A. -M. / Magniette, F. / Mahjoub, A. / Martens, S. / Matysek, M. / Meier, B. / Malakhov, A. / Mallios, S. / Mandjavize, I. / Mannelli, M. / Mans, J. / Marchioro, A. / Martelli, A. / Martinez, G. / Masterson, P. / Matthewman, M. / Mayekar, S. N. / David, A. / Coco, S. / Meng, B. / Menkel, A . / Mestvirishvili, A. / Milella, G. / Mirza, I. / Moccia, S. / Mohanty, G. B. / Monti, F. / Moortgat, F. W. / Morrissey, I. / Motta, J. / Murthy, S. / Musić, J. / Musienko, Y. / Nabili, S. / Nguyen, M. / Nikitenko, A. / Noonan, D. / Noy, M. / Nurdan, K. / Nursanto, M. Wulansatiti / Ochando, C. / Odell, N. / Okawa, H. / Onel, Y. / Ortez, W. / Ozegović, J. / Ozkorucuklu, S. / Paganis, E. / Palmer, C. A. / Pandey, S. / Pantaleo, F. / Papageorgakis, C. / Papakrivopoulos, I. / Paranjpe, M. / Parshook, J. / Pastika, N. / Paulini, M. / Peitzmann, T. / Peltola, T. / Peng, N. / Perraguin, A. Buchot / Petiot, P. / Pierre-Emile, T. / Pinto, M. Vicente Barreto / Popova, E. / Pöschl, R. / Prosper, H. / Prvan, M. / Puljak, I. / Qasim, S. R. / Qu, H. / Quast, T. / Quinn, R. / Quinnan, M. / Rane, A. / Rao, K. K. / Rapacz, K. / Raux, L. / Redjeb, W. / Reinecke, M. / Revering, M. / Richard, F. / Roberts, A. / Sanchez, A. M. / Rohlf, J. / Rolph, J. / Romanteau, T. / Rosado, M. / Rose, A. / Rovere, M. / Roy, A. / Rubinov, P. / Rusack, R. / Rusinov, V. / Ryjov, V. / Sahin, O. M. / Salerno, R. / Saradhy, R. / Sarkar, T. / Sarkisla, M. A. / Sauvan, J. B. / Schmidt, I. / Schmitt, M. / Schuwalow, S. / Scott, E. / Seez, C. / Sefkow, F. / Selivanova, D. / Sharma, S. / Shelake, M. / Shenai, A. / Shukla, R. / Sicking, E. / De, M. / Silva, P. / Simkina, P. / Simon, F. / Simsek, A. E. / Sirois, Y. / Smirnov, V. / Sobering, T. J. / Spencer, E. / Srimanobhas, N. / Steen, A. / Strait, J. / Strobbe, N. / Su, X. F. / Sudo, Y. / Suarez, C. Mantilla / Sukhov, E. / Sulak, L. / Sun, L. / Suryadevara, P. / Syal, C. / de La Taille, C. / Tali, B. / Tan, C. L. / Tao, J. / Tarabini, A. / Tatli, T. / Thaus, R. / Taylor, R. D. / Tekten, S. / Thiebault, A. / Thienpont, D. / Tiley, C. / Tiras, E. / Titov, M. / Tlisov, D. / Tok, U. G. / Kayis, A. / Troska, J. / Tsai, L. S. / Tsamalaidze, Z. / Tsipolitis, G. / Tsirou, A. / Undleeb, S. / Urbanski, D. / Uslan, E. / Ustinov, V. / Uzunian, A. / Varela, J. / Velasco, M. / Vernazza, E. / Viazlo, O. / Vichoudis, P. / Virdee, T. / Voirin, E. / Vojinovi\c, M. / Vojinovic, M. / Wade, A. / Wang, C. / Wang, C. C. / Wang, D. / Wang, F. / Wang, X. / Wang, Z. / Wayne, M. / Webb, S. N. / Whitbeck, A. / Wickwire, R. / Wilson, J. S. / Wu, H. Y. / Wu, L. / Xiao, M. / Yang, J. / Yeh, C. H / Yohay, R. / Yu, D. / Yu, S. S. / Yuan, C. / Miao, Y. / Yumiceva, F. / Yusuff, I. / Zabi, A. / Zacharopoulou, A. / Zamiatin, N. / Zarubin, A. / Zehetner, P. / Zerwas, D. / Zhang, H. / Zhang, J. / Zhang, Y. / Zhang, Z. / Zhao, X.

    2022  

    Abstract: The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimeter (HGCAL). The electromagnetic section of the HGCAL is based on silicon ... ...

    Abstract The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimeter (HGCAL). The electromagnetic section of the HGCAL is based on silicon sensors interspersed between lead and copper (or copper tungsten) absorbers. The hadronic section uses layers of stainless steel as an absorbing medium and silicon sensors as an active medium in the regions of high radiation exposure, and scintillator tiles directly readout by silicon photomultipliers in the remaining regions. As part of the development of the detector and its readout electronic components, a section of a silicon-based HGCAL prototype detector along with a section of the CALICE AHCAL prototype was exposed to muons, electrons and charged pions in beam test experiments at the H2 beamline at the CERN SPS in October 2018. The AHCAL uses the same technology as foreseen for the HGCAL but with much finer longitudinal segmentation. The performance of the calorimeters in terms of energy response and resolution, longitudinal and transverse shower profiles is studied using negatively charged pions, and is compared to GEANT4 predictions. This is the first report summarizing results of hadronic showers measured by the HGCAL prototype using beam test data.

    Comment: Accepted for publication by JINST
    Schlagwörter Physics - Instrumentation and Detectors
    Thema/Rubrik (Code) 621
    Erscheinungsdatum 2022-11-09
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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