2020
DOI: 10.1007/s11664-020-08271-y
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RTS Noise Detection and Voltage Effect on RTS in HgCdTe Focal-Plane Arrays

Abstract: We developed an automated Random Telegraph Signal detection and characterization method, as well as a blinking noise and slow drift separation method adapted to focal plane arrays. Utilizing these methods, a study of the evolution of the number of RTS pixels and the amplitudes of the blinking signal as a function of the reverse bias voltage and temperature is conducted. It is shown that physical characteristics of RTS follow Arrhenius laws and increase with bias. Finally, the origin of the increase of the ampl… Show more

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Cited by 10 publications
(3 citation statements)
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“…Such an effect has been observed on different material systems [13] such as Silicon transistors or diodes [14], in particular in Si solid-state imagers [15] or even narrower semiconductor materials such as InGaAs [16] and InSb [17]. RTS has also been observed and studied in MCT [18][19] [20]. In this work, we performed long data cubes (5000 successive image acquisitions at a 4Hz frame rates during 20min) in order to study low frequency noise behavior of damaged pixels.…”
Section: Rts Statistics Evolutionmentioning
confidence: 99%
“…Such an effect has been observed on different material systems [13] such as Silicon transistors or diodes [14], in particular in Si solid-state imagers [15] or even narrower semiconductor materials such as InGaAs [16] and InSb [17]. RTS has also been observed and studied in MCT [18][19] [20]. In this work, we performed long data cubes (5000 successive image acquisitions at a 4Hz frame rates during 20min) in order to study low frequency noise behavior of damaged pixels.…”
Section: Rts Statistics Evolutionmentioning
confidence: 99%
“…Since the blinking is not permanent, detecting these pixels is a very difficult task and is the subject of intensive research [23]- [24]. The algorithm used here for the detection of RTS pixels is from [25]. The main steps of the algorithm are:…”
Section: F Random Telegraph Signal (Rts) Pixelsmentioning
confidence: 99%
“…RTS pixels are detected using the algorithm from [25] and then classified. After exclusion of hard defects and continuous level defects, 280 pixels are identified as RTS pixels.…”
Section: Rts Pixels Analysismentioning
confidence: 99%