Browsing by Author "Schulz, Oliver"
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- ItemModeling of GERDA Phase II data(Berlin ; Heidelberg : Springer , 2020) Agostini, Matteo; Bakalyarov, Alexander M.; Balata, Marco; Barabanov, Igor; Baudis, Laura; Bauer, Christian; Bellotti, Enrico; Belogurov, Sergej; Bettini, Alessandro; Bezrukov, Leonid; Borowicz, Dariusz; Stukov, Danila; Vanhoefer, Laura; Vasenko, Andrey A.; Veresnikova, Anna; Vignoli, Chiara; von Sturm, Katharina; Wester, Thomas; Wiesinger, Christoph; Wojcik, Marcin; Yanovich, Evgeny; Zatschler, Birgit; Zhitnikov, Igor; Zhukov, Sergey V.; Zinatulina, Daniya; Zschocke, Andreas; Zsigmond, Anna J.; Zuber, Kai; Zuzel, Grzegorz; Bossio, Elisabetta; Bothe, Vikas; Brudanin, Victor; Brugnera, Riccardo; Caldwell, Allen; Cattadori, Carla; Chernogorov, Andrey; Comellato, Tommaso; D'Andrea, Valerio; Demidova, Elena V.; Di Marco, Natalia; Domula, Alexander; Doroshkevich, Evgenyi; Egorov, Viacheslav; Fischer, Felix; Fomina, Maria; Gangapshev, Albert; Garfagnini, Alberto; Gooch, Chris; Grabmayr, Peter; Gurentsov, Valery; Gusev, Konstantin; Hakenmüller, Janina; Hemmer, Sabine; Hiller, Roman; Hofmann, Werner; Hult, Mikael; Inzhechik, Lev V.; Janicskó Csáthy, Jozsef; Jochum, Josef; Junker, Matthias; Kazalov, Vladimir; Kermaïdic, Yoann; Kihm, Thomas; Kirpichnikov, Igor V.; Klimenko, Alexander; Kneißl, Raphael; Knöpfle, Karl T.; Kochetov, Oleg; Kornoukhov, Vasily N.; Krause, Patrick; Kuzminov, Valery V.; Laubenstein, Matthias; Lazzaro, Andrea; Lindner, Manfred; Lippi, I.; Lubashevskiy, Alexey; Lubsandorzhiev, Bayarto; Lutter, Guillaume; Macolino, Carla; Majorovits, Bela; Maneschg, Werner; Miloradovic, Michael; Mingazheva, Rizalina; Misiaszek, Marcin; Moseev, Pavel; Nemchenok, Igor; Panas, Krysztof; Pandola, Luciano; Pelczar, Krysztof; Pertoldi, Luigi; Piseri, Paolo; Pullia, Alberto; Ransom, Chloe; Riboldi, Stefano; Rumyantseva, Nadezda; Sada, Cinzia; Salamida, Francesco; Schönert, Stefan; Schreiner, Jochen; Schütt, Mario; Schütz, Ann-Katrin; Schulz, Oliver; Schwarz, Mario; Schwingenheuer, Bernhard; Selivanenko, Oleg; Shevchik, Egor; Shirchenko, Mark; Simgen, Hardy; Smolnikov, AnatolyThe GERmanium Detector Array (Gerda) experiment at the Gran Sasso underground laboratory (LNGS) of INFN is searching for neutrinoless double-beta (0νββ) decay of 76Ge. The technological challenge of Gerda is to operate in a “background-free” regime in the region of interest (ROI) after analysis cuts for the full 100 kg·yr target exposure of the experiment. A careful modeling and decomposition of the full-range energy spectrum is essential to predict the shape and composition of events in the ROI around Qββ for the 0νββ search, to extract a precise measurement of the half-life of the double-beta decay mode with neutrinos (2νββ) and in order to identify the location of residual impurities. The latter will permit future experiments to build strategies in order to further lower the background and achieve even better sensitivities. In this article the background decomposition prior to analysis cuts is presented for Gerda Phase II. The background model fit yields a flat spectrum in the ROI with a background index (BI) of 16.04+0.78−0.85⋅10−3 cts/(keV·kg·yr) for the enriched BEGe data set and 14.68+0.47−0.52⋅10−3 cts/(keV·kg·yr) for the enriched coaxial data set. These values are similar to the one of Phase I despite a much larger number of detectors and hence radioactive hardware components.
- ItemVertical profiling of convective dust plumes in southern Morocco during SAMUM(Milton Park : Taylor & Francis, 2017) Ansmann, Albert; Tesche, Matthias; Knippertz, Peter; Bierwirth, Eike; Althausen, Dietrich; Müller, Detlef; Schulz, OliverLifting of dust particles by dust devils and convective plumes may significantly contribute to the global mineral dust budget. During the Saharan Mineral Dust Experiment (SAMUM) in May–June 2006 vertical profiling of dusty plumes was performed for the first time. Polarization lidar observations taken at Ouarzazate (30.9◦N, 6.9◦W, 1133 m height above sea level) are analyzed. Two cases with typical and vigorous formation of convective plumes and statistical results of 5 d are discussed. The majority of observed convective plumes have diameters on order of 100–400 m. Most of the plumes (typically 50–95%) show top heights <1 km or 0.3DLH with the Saharan dust layer height DLH of typically 3–4 km. Height-to-diameter ratio is mostly 2–10. Maximum plume top height ranges from 1.1 to 2.9 km on the 5 d. 5–26 isolated plumes and clusters of plumes per hour were detected. A low dust optical depth (<0.3) favours plume evolution. Observed surface, 1 and 2–m air temperatures indicate that a difference of 17–20 K between surface and 2-m air temperature and of 0.9–1 K between the 1 and 2-m temperatures are required before convective plumes develop. Favourable horizontal wind speeds are 2–7 ms−1.