A new algorithm correcting random telegraph noise jumps in CMOS sensors improves SNR of faint stellar light curves by over 5% on average and outperforms masking when the PSF is undersampled or noise sources are comparable.
Journal of Instrumentation , abstract =
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BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.
citing papers explorer
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Optimal mitigation of random telegraph noise for improved photometry at high frame rates
A new algorithm correcting random telegraph noise jumps in CMOS sensors improves SNR of faint stellar light curves by over 5% on average and outperforms masking when the PSF is undersampled or noise sources are comparable.
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On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2
BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.