Implementation of TDI based digital pixel ROIC with 15μm pixel pitch

2016 ◽  
Author(s):  
Omer Ceylan ◽  
Atia Shafique ◽  
A. Burak ◽  
Can Caliskan ◽  
Shahbaz Abbasi ◽  
...  
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1550
Author(s):  
Dominic Greiffenberg ◽  
Marie Andrä ◽  
Rebecca Barten ◽  
Anna Bergamaschi ◽  
Martin Brückner ◽  
...  

Chromium compensated GaAs or GaAs:Cr sensors provided by the Tomsk State University (Russia) were characterized using the low noise, charge integrating readout chip JUNGFRAU with a pixel pitch of 75 × 75 µm2 regarding its application as an X-ray detector at synchrotrons sources or FELs. Sensor properties such as dark current, resistivity, noise performance, spectral resolution capability and charge transport properties were measured and compared with results from a previous batch of GaAs:Cr sensors which were produced from wafers obtained from a different supplier. The properties of the sample from the later batch of sensors from 2017 show a resistivity of 1.69 × 109 Ω/cm, which is 47% higher compared to the previous batch from 2016. Moreover, its noise performance is 14% lower with a value of (101.65 ± 0.04) e− ENC and the resolution of a monochromatic 60 keV photo peak is significantly improved by 38% to a FWHM of 4.3%. Likely, this is due to improvements in charge collection, lower noise, and more homogeneous effective pixel size. In a previous work, a hole lifetime of 1.4 ns for GaAs:Cr sensors was determined for the sensors of the 2016 sensor batch, explaining the so-called “crater effect” which describes the occurrence of negative signals in the pixels around a pixel with a photon hit due to the missing hole contribution to the overall signal causing an incomplete signal induction. In this publication, the “crater effect” is further elaborated by measuring GaAs:Cr sensors using the sensors from 2017. The hole lifetime of these sensors was 2.5 ns. A focused photon beam was used to illuminate well defined positions along the pixels in order to corroborate the findings from the previous work and to further characterize the consequences of the “crater effect” on the detector operation.


2017 ◽  
Author(s):  
Oguz Altun ◽  
Reha Kepenek ◽  
Ferhat Tasdemir ◽  
Fatih Akyurek ◽  
Can Tunca ◽  
...  
Keyword(s):  

Author(s):  
Takumi Yamaguchi ◽  
Masahiro Kasano ◽  
Yuichi Inaba ◽  
Mitsuyoshi Mori ◽  
Shigetaka Kasuga ◽  
...  
Keyword(s):  

2017 ◽  
pp. 242-253
Author(s):  
Michael N. DeMers

Land classification is so central to geography that its use, and the use of its derivative and corresponding products, is seldom even questioned. Since its earliest implementations land classification has adapted to changes in geographic scale and in the nature of the categorical systematics upon which it is based. Land classification has changed in its techniques and in how it adapts to technological changes, particularly those related to remote sensing and geographic information systems. The adaptation of land classification to digital pixel-based classification spawned a wide range of land classification error analysis techniques. These techniques do not easily transfer to non-pixel based classification error analysis as recent research on rapid land assessment methodologies and land change error analysis has shown. This disparity suggests a need to reevaluate the very nature of land classification research. To begin such an evaluation, this lecture provides a retrospective on the roots of land classification research, examines some of the milestones of that research, and describes the divergent paths such research has taken. It examines the importance of land classification in these times of ever decreasing global resources, and reviews its potential legal, social, and economic implications. Based on this retrospective, this paper advances the need for geographic researchers to envision land classification not only as a set of techniques, but more generally to focus on systematic geography in all its facets as a research agenda in its own right.


2011 ◽  
Vol 1 (1) ◽  
pp. 77-96 ◽  
Author(s):  
Xiaoxiao Zhang ◽  
Sylvain Leomant ◽  
Ka Lai Lau ◽  
Amine Bermak

2009 ◽  
Author(s):  
A. Durand ◽  
C. Minassian ◽  
J. L. Tissot ◽  
M. Vilain ◽  
P. Robert ◽  
...  

2017 ◽  
Vol 48 (1) ◽  
pp. 268-271 ◽  
Author(s):  
François Templier ◽  
Lamine Benaïssa ◽  
Bernard Aventurier ◽  
Christine Di Nardo ◽  
Matthew Charles ◽  
...  

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