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ABSTRACT: Stefano Marchesini, Norman Mannella, and Charles Fadley of Berkeley Lab have developed an algorithm that quantitatively characterizes and corrects detector nonlinearity effects over the full dynamic range of the detection system. The algorithm is designed to replace standard calibration methods and enhance images and spectra obtained with any detector, including CCDs, electron microscopes and spectrometers, analogue to digital converters, and x-ray imagers. Current methods employed to correct nonlinear effects require a complex, time consuming, and therefore costly procedure in which a known source, image, or spectra is used to calibrate the detector. Using the Berkeley Lab method to correct nonlinearities, an uncharacterized object can be imaged with two or more known exposure times and the algorithm calculates and corrects the overexposure. Another disadvantage of traditional calibration methods is that once the device is calibrated, it starts to drift from the calibration standard. Since the Berkeley Lab solution to nonlinearities is an algorithm applied to each image set, the drifting is corrected anew for each final image. The Berkeley Lab invention determines detector response from a least-squares analysis of the data acquired at different exposure times or incident fluxes. The technique can extend the calibration curve beyond the standard method of using a calibrated source. |
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| REFERENCE NUMBER: IB-1991 | ||||||||||||||||||||
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