Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Development and applications of transition-edge sensors 

  Palosaari, Mikko (University of Jyväskylä, 2015)

  This thesis focuses on the theory, development and applications of Transition- Edge Sensor (TES) arrays. The main results are the design and development of a fabrication process for a 256 pixel X-ray TES detector with a ...

• Characterizing a dc-SQUID and a Mo/TiW/Cu -trilayer transition-edge sensor array 

  Helenius, Ari (2017)

  Tutkielmassa määritettiin uuden suprajohtavan kvantti-interferenssilaitteen ja 256 pikseliä sisältävän sirun transitioreunailmaisimien ominaisuuksia. Komponentit vaativat erittäin matalia lämpötiloja ja suojauksen suurilta ...

• Transition-Edge Sensors for Particle Induced X-ray Emission Measurements 

  Palosaari, Mikko; Kinnunen, Kimmo; Julin, Jaakko; Laitinen, Mikko; Napari, Mari; Sajavaara, Timo; Doriese, W. B.; Fowler, J.; Reintsema, C.; Swetz, D.; Schmidt, D.; Ullom, J.; Maasilta, Ilari (Springer New York LLC, 2014)

  In this paper we present a new measurement setup, where a transitionedge sensor detector array is used to detect X-rays in particle induced X-ray emission measurements with a 2 MeV proton beam. Transition-edge sensors ...

• Simultaneous Noise and Impedance Fitting to Transition-Edge Sensor Data Using Differential Evolution 

  Helenius, A. P.; Puurtinen, T. A.; Kinnunen, K. M.; Maasilta, I. J. (Springer Science and Business Media LLC, 2020)

  We discuss a robust method to simultaneously fit a complex multi-body model both to the complex impedance and the noise data for transition-edge sensors. It is based on a differential evolution (DE) algorithm, providing ...

• Transition-edge sensors for particle-induced X-ray emission spectrometry 

  Käyhkö, Marko (University of Jyväskylä, 2018)

  A transition-edge sensor array has been applied to particle-induced X-ray emission. We have characterized the detector for quantitative analysis and obtained minimum detection limit over two orders of magnitude better ...