are capable of extreme low light imaging thanks to sub-electron read-out noise, enabling single- . The characterization of e2v’s CCD60 (128 x 128), CCD97 (512 x 512) and CCD201-20 (1024 x 1024) using a controller optimized for the driving of at a high (≥ 10 MHz) pixel rate per output with < 0.002 e total background signal. Using the Controller for Counting Photons ( ), the horizontal and vertical , and stability are characterized.
TheController for Counting Photons1 ( ), an electronic controller built with the aim of driving Electron Multiplying Charge Coupled Devices ( ) at a high (≥ 10 MHz) speed, with low (<< 1 e) effective read-out noise, and the lowest possible Clock Induced Charges ( ), was used to drive e2v’s CCD60 (128 × 128 FT), CCD97 (512 × 512 FT) CCD201-20 (1024 × 1024 FT) and CCD207-40 (1600 × 1600 FF). Cameras built with the and the CCD60, CCD97 or the CCD201-20, respectively named EMN2 128, EMN2 512 and EMN2 1024, are now commercially available from Nüvü Camēras. In this paper, the characterization results of theses cameras is presented. For data regarding the CCD207-40, the reader is referred to .
First results were presented in  regarding the performance of an EMN2 512 camera. It was demonstrated that it was possible to drive thein Inverted Mode Operation ( ) and, at -85◦C, to get an effective read-out noise of 0.02 e (G/σ ratio of 50) while generating 0.0025 e/pixel/image of (measured with a 5σ threshold) and generate less than 0.001 e/pixel/s of . This extreme low noise enabled the use of this in Photon Counting (PC) and, for low light applications (< 10 photons/pixel/s), reducing by 33% the time required to reach a given when compared to the analog Mode (AM, sometimes called Linear Mode), despite a frame-rate 10× larger.
In this paper, the horizontal charge transfer efficiency measurements are presented in section 2. Measurements of thegenerated by the vertical and horizontal transfers are presented in section 3. The , as a function of temperature, was measured and the data are presented in section 4. The stability of the is presented in section 5.
The horizontal charge transfer efficiency of thewas measured on the CCD60 by using a relative technique, the extended pixel edge response4 (EPER). Flat-fields were taken with moderate (>10 ke/pixel) illumination and the deferred charges were measured in an overscan region. In order to increase the , lines were averaged on half of the and 10 images were taken with the same integration time under a stabilized light source. The was measured by using three columns, taking the last one as the zero reference (Zm), the second one as the deferred measurement (Dm) and the first one as the signal level (Sm). Then, the was calculated by using :
where Nt is the number of horizontal transfers required to take these pixels out of the device. The noise of the measurement was estimated by the standard deviation of the columns after the columns used for the deferred charge measurement. The results are shown in Figure 1.
The EPER technique was not used for the CCD97 and CCD201-20 since theseexhibit a masked region around the active area where charge might diffuse under the mask and masquerade as deferred charge (e2v, private communication). Instead, the was measured with the horizontal auto-correlation of faintly lit (∼ 0.01 e/pixel/image) flat taken at a high gain, as used in . The measurements were taken at an of 50σ and the results are shown in Figure 2. The is measured as follows :
where a is the auto-correlation function of the pixels at offsets −1 and 1 from the central pixel. a is already normalized since the auto-correlation at offset 0 is 1. The noise of the measurement was estimated by the standard deviation of the auto-correlation function for offsets 2 and higher from the central pixel. The figures shows thederived from the auto-correlation function measured at indices [−1, 1] plus or minus the standard deviation. The measurements for the EPER and the auto-correlation methods are summarized in Table 1.
Theis a measurement of the charge being transferred from one element of the horizontal register to the other. This means that in the case of the , the EPER and the auto-correlation methods employed in this manner do not differentiate the of the conventional horizontal register from the of the EM horizontal register.
As demonstrated in , by using theto clock a CCD97 in , the generated by the vertical shift of the charges can be brought down to a very low level, 0.0005 e¯/pixel/image. The vertical and horizontal were measured for the CCD60, CCD97, and CCD201-20. In order to disentangle the horizontal from the vertical components, the were overscanned in both the horizontal and vertical directions. For each , 1000 dark images of zero integration time were taken at a high (G/σ ratio of 50). The images were processed in AM.
The resulting images are constituted of 4 quadrants. The top left quadrant is the image area. It contains the total unwanted signal, which is theaccumulated in the image area during the integration, the accumulated in the storage area during the read-out, the generated during the image vertical shift, the generated during the storage vertical shift, and the generated by the horizontal shift. The bottom left quadrant is the vertical overscan. It contains the generated in the storage area during the read-out, the generated during the storage vertical shift, and the generated by the horizontal shift. The right quadrants correspond to the horizontal overscan. They contain the generated by the horizontal shift. Thus, the horizontal can be obtained readily from the right quadrants. The vertical can be obtained by subtracting the horizontal and the dark signal from the top left quadrant. The measurement of the dark signal is covered in section 4. The horizontal computed in AM and differs, as the generated in the EM register exits with an amplification that is a function of the element at which it was generated. Thus, when transposed to the image domain, the mean intensity of the horizontal computed in AM is less than one electron per electron.
The results are given in Table 2. Since theis a function of the shift speed, the shift speed at which the measurements were made are given in this table. For all three , at a high , it is the generated during the horizontal shift that dominates. The use of a lower yields a lower horizontal , but it hardly comes below the level of the vertical . For example, at G/σ ratio of 5, the horizontal (computed in AM) of the CCD201-20 is 0.0007 e/pixel/image.
According to , theat a temperature of -40◦C in is about 200 times lower than when the is operated in , as the surface of the is populated with holes and the thermally generated electrons can recombine before they reach the pixel well. Moreover, it is the movement of the holes at the surface of the that generates the during the vertical transfer.4 Thus, as proposed in , the operation of an can generate about 30 times less than in . The best operating conditions of an ( – ) would thus depend on integration time, short integration times benefiting from the lower of the , and long integrations benefiting from the lower of the .
Moreover, the surfaceis also known to have a characteristic time constant that varies with temperature.7 Authors have reported8 that switching the clocks between inversion and out-of-inversion states during the exposure of the can allow the to operate below the characteristic time constant of the surface current generation, hence allowing this dark signal component to be greatly reduced, even in non-inverted mode. For short integration times, the read-out of the has the same dither effect, as the parallel clocks are switched during this process.
Section 3 showed that by using the, the was dominated by its horizontal component. Thus, the operation of the would yield little advantage over the . It was deemed relevant to measure the total background signal of the as a function of the integration time, temperature, and operating mode.
In, the total background signal as a function of the integration time is roughly linear. From the floor at t = 0, it scales linearly with the integration time. The was measured by running the devices at a high (G/σ of 50), taking multiple images ranging from 0 to 32 s of integration, processing the frames in (5σ threshold) and fitting a first degree equation to the mean signal as a function of the integration time. The process was repeated for the CCD60, CCD97 and CCD201-20 at temperatures between −65◦C and −105◦C. The results are shown in Figure 3. The data is corrected for the signal lost by the 5σ threshold (9.4% loss).
The left panel of Figure 3 shows thein pA/cm2 , which accounts for the pixel pitch of the devices (13µm for the CCD201-20, 16 µm for the CCD97, and 24µm for the CCD60). Although the of the CCD97 is significantly lower than the one of the CCD201-20 and CCD60, such a difference could be accounted for by differences in epitaxial silicon wafers from which the devices are made (e2v, private communication).
The same CCD201-20 that was used for themeasurements was also clocked in , and its and total background signal was measured. As stated earlier, the in and at cryogenic temperatures does not behave linearly. When the time between read-outs is lower than the characteristic time required by the surface current to settle, a part of it is inhibited. This behaviour is seen in Figure 4, where the is lower for frames of 1 s of integration than for those of higher integration time (+ signs). On the other hand, the of the operation is rather linear, the variation for integration times smaller than 1 second being explained by the challenge of measuring such a faint signal (less than 0.0001 e/pixel/image). This plot was generated by subtracting the mean background signal in a 0-s image from the mean signal measured for longer integration times. The resulting value was divided by the integration time.
The total background signal is the ultimate parameter that must be accounted for extreme faint flux imaging. It is the sum of theand the . Thus, the plot of the total background signal per pixel per image as a function of the integration time will yield the best operating parameters for a given integration time. The left panel of Figure 5 shows the mean background signal measured in on the as a function of the integration time. It shows the -dominated plateau at short integration times, and the dominance of the for longer integration times. At −85◦C, the dominates the for integrations longer than ∼5 s.
The idea of driving thein to circumvent the vertical at the price of a higher dark current6 was tested with the CCD201-20. The solid and dotted lines in the right panel of Figure 5 shows the measurement of the total background signal as a function of the integration time for the and operations at 10 MHz. For these measurements, the high and low levels of the vertical clocks were modified to make the operate in either or , while the same pattern was used for the horizontal clocks. It showed that, when using the , regardless of the integration time, the total background signal of the operation is always higher than that of the operation.
The CCD201-20 was also clocked horizontally at 1 MHz in(dashed line in Figure 5). While the is the same as when it is clocked at 10 MHz, the amount of generated in the horizontal register is dramatically higher (∼0.03 e/pixel/image), even though the required to get a G/σ ratio of 50 is lower since the real read-out noise is lower. Thus, when it comes to extreme low flux, it is best to operate the at high speed to lower the impact of the horizontal .
Thestability was measured by faintly illuminating (∼0.05 photon/pixel/image) the device with a stabilized light source and reading it out constantly during an extended period of time. The mean of the images was then measured by fitting the output probability equation of the EM register9 to the histogram of all of the images. Then, the gain variation from image to image was computed by taking the mean value of every image. Since the illumination is stable, variation in the measured light intensity would indicate a variation of the . The results are shown in Figure 6.
The employed technique limits the precision measurement of theto the . Since the mean signal per image is about 50 000 photons, the per image can be measured down to 1/ √(50000) ≈ 0.4% per image. In order to reach a higher precision, images have to be averaged. The data in the left panel of Figure 6 was obtained by averaging 20 images together, which gives a temporal resolution of ∼1.6 s and a limit of 0.1%. The standard deviation of the measurement is 0.1%, which means that it is still dominated by and that low-frequency components (coloured noise) are below that level. The right panel of Figure 6 shows the standard deviation of the measurement as a function of the bin size. It shows that the standard variation of the measurement deviates from the for a measurement precision <0.05%. This would mean that the stability of the camera is limited to about 0.05%.
This paper described the characterization process and results of threefrom e2v Technologies driven with the Controller for Counting Photons from Nüvü Camēras: the CCD60 (128 × 128, 24 µm), CCD97 (512 × 512, 16 µm), and CCD201-20 (1024 × 1024, 13 µm). Thanks to both the and the operation of the , a high pixel rate (10 MHz) can be obtained at the same time as a very low total background signal ( and , section 4.3) while maintaining a high (section 2). The stability of the was measured to be better than 0.05% over hours of operation (section 5).
The threeare integrated into the EMN2 cameras from Nüvü Camēras, which are liquid nitrogen cooled. These are also being integrated into the thermoelectric-cooled HNü (hν) cameras. These cameras will sport both air and water cooling, each allowing operating temperatures below −85◦C, a smaller form factor, a higher maximum pixel rate, while maintaining the same low background signal level and image quality. The HNü cameras will be available by the end of 2012.
The development by e2v of a newdevice, a 4k × 4k, 12µm pixel pitch, frame transfer, is being funded by the Universite de Montréal. It will support frame rates of up to 4 frames per second through 8 EM outputs. Nüvü Camēras has already started designing the electronics to drive this novel detector and will support it in its line of cameras.
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