Temporal stability and correctability of a MWIR T2SL focal plane array

Ribet-Mohamed, I.; Nghiem, Jean; Caes, Marcel; Guénin, Maxence; Höglund, Linda; Costard, E.; Rodriguez, J. B.; Christol, Philippe

doi:10.1016/j.infrared.2018.10.028

Cited by 11 publications

(8 citation statements)

References 19 publications

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“…We assume that the pixels of the FPA are uniform so our measurement leads to measuring the MTF of the average pixel. This hypothesis is perfectly acceptable because the T2SL has shown thus far promising uniformity [9][10]. The bench is described in Figure 1Erreur !…”

Section: Ii) the Measurement Bench A) Bench Descriptionmentioning

confidence: 96%

Study of the MTF of a MWIR T2SL focal plane array in IDDCA configuration

Nghiem

Jaeck

Derelle

et al. 2019

Infrared Physics & Technology

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Section: Ii) the Measurement Bench A) Bench Descriptionmentioning

confidence: 96%

Study of the MTF of a MWIR T2SL focal plane array in IDDCA configuration

Nghiem

Jaeck

Derelle

et al. 2019

Infrared Physics & Technology

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“…However, finding the appropriate figure of merit to quantify the temporal stability is not so easy. The commonly used residual fixed pattern noise (RFPN) is for example highly affected by the preliminary step consisting in excluding the bad pixels [7]. As a result, different criteria for bad pixels exclusion have been developed [8][9][10] [11][12], making comparisons between detectors difficult.…”

Section: Robust Evaluation Of Long Term Stability Of Anmentioning

confidence: 99%

“…Before calculating the RFPN, some pixels have to be excluded because their behavior deviates too far from the whole FPA. Generally speaking, pixels whose mean level, response, noise and/or NETD (noise equivalent temperature difference) deviate too far from the median value are discarded (see TABLE 4), but the exact criteria vary from one team to another, which can have a strong influence on the RFPN value [7].…”

Section: Bad Pixels Detectionmentioning

confidence: 99%

Robust Evaluation of Long-Term Stability of an InAs/GaSb Type II Superlattice Midwave Infrared Focal Plane Array

Arounassalame

Guénin

Caes

et al. 2021

IEEE Trans. Instrum. Meas.

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The temporal stability of the image quality of an infrared focal plane array (FPA) is one key parameter to consider for high performance imaging applications. It is generally evaluated through Residual Fixed Pattern Noise (RFPN) measurements realized after a two-point correction (TPC) and bad pixels exclusion. However, the effect of random telegraph signal (RTS) on temporal stability has never been quantified, the intermittent blinking of RTS pixels making measurements inherently complicated. In this paper, we propose a novel protocol and a novel data processing technique to fully characterize the temporal stability of an infrared FPA, thanks to simultaneous RFPN and RTS noise measurements. Using a robust statistics based on Median Absolute Deviation (MAD) leads to a more trustful RFPN evaluation, unaffected by the bad pixels exclusion step. This new protocol can be applied to any FPA technology, cooled or uncooled, operating in the [3-14µm] spectral domain. We chose to use a Type-II superlattice (T2SL) midwave infrared FPA integrated in a cryocooler at 80K. We show that the long-term stability of this 320x256 pixels FPA is excellent. The RFPN only slightly increases over 77 days, using a TPC that has been calculated on the first day of the measurements campaign. A simple offset update, compatible with operational contingencies, can further improve the temporal stability of this FPA. Only 0.3% of the pixels were affected by RTS noise at some moment. Those blinking pixels don't affect the RFPN evolution, which is a very encouraging result for T2SL detector technology.

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“…3. Although this simple model cannot explain the classical [18] error divergence for luminance values outside the calibrating luminances, it is widely used to perform correction of spatial noise. It is thus used here.…”

Section: Testing Quality Of Spectral Calibration On Fringe Filtered Bmentioning

confidence: 99%

Theoretical and practical analysis of spatial and spectral calibration of static Fourier transform infrared spectrometers

Kattnig

2019

Opt. Express

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Static Fourier transform spectrometers require, especially in the infrared, a spatial calibration step. Unfortunately, the superposition of fringes on the measured images has a major impact on spatial calibration and therefore on the returned spectra. We first study how to pre-process images so that spectral errors are minimized. Then, we develop a spectrum formation model that is used to correct those spectral errors. The performance, evaluated on synthetic data, is remarkable and theoretically justifies the use of this calibration concept.

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Temporal stability and correctability of a MWIR T2SL focal plane array

Cited by 11 publications

References 19 publications

Study of the MTF of a MWIR T2SL focal plane array in IDDCA configuration

Study of the MTF of a MWIR T2SL focal plane array in IDDCA configuration

Robust Evaluation of Long-Term Stability of an InAs/GaSb Type II Superlattice Midwave Infrared Focal Plane Array

Theoretical and practical analysis of spatial and spectral calibration of static Fourier transform infrared spectrometers

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