scholarly journals A Compact Muon Tracker for Dynamic Tomography of Density Based on a Thin Time Projection Chamber with Micromegas Readout

Particles ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 333-342
Author(s):  
Ignacio Lázaro Roche

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as a geophysics tool over the past decade. It allows us to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or the wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.

Author(s):  
Ignacio Lázaro Roche

Tomography based on cosmic muon absorption is a rising technique because of its versatility and its consolidation as geophysics tool over the past decade. It allows to address major societal issues such as long-term stability of natural and man-made large infrastructures or sustainable underwater management. Traditionally, muon trackers consist of hodoscopes or multilayer detectors. For applications with challenging available volumes or wide field of view required, a thin time projection chamber (TPC) associated with a Micromegas readout plane can provide a good tradeoff between compactness and performance. This paper details the design of such a TPC aiming at maximizing primary signal and minimizing track reconstruction artifacts. The results of the measurements performed during a case study addressing the aforementioned applications are discussed. The current works lines and perspectives of the project are also presented.


2021 ◽  
Author(s):  
Daewook Kim ◽  
Wonhyuk Cho ◽  
Barbara Allen

Social economy organizations (SEOs), designed to do good for society, have been attracting significant attention as an alternative to purely profit-driven businesses. However, the sustainability of these hybrid organizations has been questioned due to the challenges in meeting the dual bottom-lines of financial performance and social purpose. This article takes a causal-process tracing (CPT) case study approach and analyzes eight SEOs to investigate the common characteristics of sustainable SEOs. The results of the analysis show that effective leadership is a sufficient (but not necessary) condition for the survival of SEOs, while leadership is a necessary (but not sufficient) condition for SEOs’ thriving. Business competitiveness is found to be necessary for SEOs’ long-term success and performance over time. Collaborative networking is a contributory condition for SEOs thriving but not a necessary condition for their survival.


2011 ◽  
Vol 299-300 ◽  
pp. 1252-1255
Author(s):  
Hui Jin ◽  
Chun Ling Liu ◽  
Xing Yu Wang

Supplier evaluation and selection is one of the most important components of supply chain, which influence the long term commitments and performance of the plant. Supplier selection is a complex multi-criteria problem which includes both qualitative and quantitative factors. In order to select the best suppliers it is essential to make a trade off between these tangible and intangible factors some of which may conflict. In this paper, an AHP-based supplier selection model is formulated and then applied to a real case study for a polyamide fiber plant in China. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination.


Author(s):  
Reinaldo Moraga ◽  
Luis Rabelo ◽  
Alfonso Sarmiento

In this chapter, the authors present general steps towards a methodology that contributes to the advancement of prediction and mitigation of undesirable supply chain behavior within short- and long- term horizons by promoting a better understanding of the structure that determines the behavior modes. Through the integration of tools such as system dynamics, neural networks, eigenvalue analysis, and sensitivity analysis, this methodology (1) captures the dynamics of the supply chain, (2) detects changes and predicts the behavior based on these changes, and (3) defines needed modifications to mitigate the unwanted behaviors and performance. In the following sections, some background information is given from literature, the general steps of the proposed methodology are discussed, and finally a case study is briefly summarized.


1982 ◽  
Vol 29 (1) ◽  
pp. 378-382
Author(s):  
Thomas J. Chapin ◽  
Rodney L. Cool ◽  
Konstantin Goulianos ◽  
Jerome P. Silverman ◽  
Gregory R. Snow ◽  
...  

1984 ◽  
Vol 5 (1) ◽  
pp. 21-30 ◽  
Author(s):  
N. Lior ◽  
R. T. Brish ◽  
L. Tedori ◽  
S. Koffs

2018 ◽  
Author(s):  
Cristofer Jimenez ◽  
Albert Ansmann ◽  
Moritz Haarig ◽  
Ronny Engelmann ◽  
Jörg Schmidt ◽  
...  

Abstract. We present a new formalism to calibrate a three-signal polarization lidar and to measure highly accurate height profiles of the volume linear depolarization ratios under realistic experimental conditions. The methodology considers elliptically polarized laser light, angular misalignment of the receiver unit with respect to the main polarization plane of the laser pulses, and cross-talk between the receiver channels. A case study of a liquid-water cloud observation demonstrates the potential of the new technique. Long-term observations of the calibration parameters corroborate the robustness of the method and the long-term stability of the three-signal polarization lidar. A comparison with another polarization lidar shows excellent agreement regarding the derived volume linear polarization ratio of biomass burning smoke throughout the troposphere and the lower stratosphere up to 16 km height.


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