Speaker
Description
To be widely adopted as charge quantizing detectors, large format Skipper CCDs must be able to read out in minutes with low enough noise to quantize charge. Careful optimization of the time to reach charge quantization is needed to limit the number of parallel readouts required to values that will fit along the side of a CCD. In this work, we present a python tool developed to estimate the total integrated noise of both conventional CCDs and Skippers. The Skipper Readout Scheme is simulated with any number of non-destructive cycles, including dead-time inherent to charge transfers or reset. . ADC sample rate and anti-aliasing filter are also modelled. To support arbitrarily complex sampling schemes, the tool is based on the discrete Fourier Transform. We show that our proposed differential skipper configuration boosts the SNR by a factor of √2. The code has been validated against analytical solutions for simple cases where these exist. This tool is used to formulate requirements for clocking speed (for moving charge on/off sense nodes) and the preamplifier bandwidth, which affects settling time, and then to infer the necessary number of channels to achieve the desired frame readout times, for any given Noise Power Spectrum at the CCD output. We discuss the typical Noise Spectrum of a CCD output transistor, the benefits of keeping 1/f noise corner frequency as low as possible, and the need to optimize transistor noise performance even when high channel count is available.
Keywords for your contribution subject matter (this will assist SOC in accurately characterizing your contribution)
Skipper CCD, Simulation
| contribution subject matter | CCD sensors |
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