TY - JOUR
T1 - Optimal Pulse Processing, Pile-Up Decomposition, and Applications of Silicon Drift Detectors at LCLS
AU - Blaj, G.
AU - Kenney, C. J.
AU - Dragone, A.
AU - Carini, G.
AU - Herrmann, S.
AU - Hart, P.
AU - Tomada, A.
AU - Koglin, J.
AU - Haller, G.
AU - Boutet, S.
AU - Messerschmidt, M.
AU - Williams, G.
AU - Chollet, M.
AU - Dakovski, G.
AU - Nelson, S.
AU - Pines, J.
AU - Song, S.
AU - Thayer, J.
N1 - Funding Information:
Manuscript received June 5, 2017; revised September 9, 2017; accepted October 4, 2017. Date of publication October 11, 2017; date of current version November 14, 2017. Use of the Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515. (Corresponding author: G. Blaj.) G. Blaj, C. J. Kenney, A. Dragone, G. Carini, S. Herrmann, P. Hart, J. Koglin, G. Haller, S. Boutet, M. Chollet, G. Dakovski, S. Nelson, J. Pines, S. Song, and J. Thayer are with the SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA (e-mail: blaj@slac.stanford.edu).
Publisher Copyright:
© 2012 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - Silicon drift detectors (SDDs) revolutionized spectroscopy in fields as diverse as geology and dentistry. For a subset of experiments at ultrafast, X-ray free-electron lasers (FELs), SDDs can make substantial contributions. Often the unknown spectrum is interesting, carrying science data, or the background measurement is useful to identify unexpected signals. Many measurements involve only several discrete photon energies known a priori, allowing single-event decomposition of pile-up and spectroscopic photon counting. We designed a pulse function and demonstrated that the signal amplitude (i.e., proportional to the detected energy and obtained from fitting with the pulse function), rise time, and pulse height are interrelated, and at short peaking times, the pulse height and pulse area are not optimal estimators for detected energy; instead, the signal amplitude and rise time are obtained for each pulse by fitting, thus removing the need for pulse shaping. By avoiding pulse shaping, rise times of tens of nanoseconds resulted in reduced pulse pile-up and allowed decomposition of remaining pulse pile-up at photon separation times down to hundreds of nanoseconds while yielding time-of-arrival information with the precision of 10 ns. Waveform fitting yields simultaneously high energy resolution and high counting rates (two orders of magnitude higher than current digital pulse processors). At pulsed sources or high photon rates, photon pile-up still occurs. We showed that pile-up spectrum fitting is relatively simple and preferable to pile-up spectrum deconvolution. We developed a photon pile-up statistical model for constant intensity sources, extended it to variable intensity sources (typical for FELs), and used it to fit a complex pile-up spectrum. We subsequently developed a Bayesian pile-up decomposition method that allows decomposing pile-up of single events with up to six photons from six monochromatic lines with 99% accuracy. The usefulness of SDDs will continue into the X-ray FEL era of science. Their successors, the ePixS hybrid pixel detectors, already offer hundreds of pixels, each with a similar performance to an SDD, in a compact, robust and affordable package.
AB - Silicon drift detectors (SDDs) revolutionized spectroscopy in fields as diverse as geology and dentistry. For a subset of experiments at ultrafast, X-ray free-electron lasers (FELs), SDDs can make substantial contributions. Often the unknown spectrum is interesting, carrying science data, or the background measurement is useful to identify unexpected signals. Many measurements involve only several discrete photon energies known a priori, allowing single-event decomposition of pile-up and spectroscopic photon counting. We designed a pulse function and demonstrated that the signal amplitude (i.e., proportional to the detected energy and obtained from fitting with the pulse function), rise time, and pulse height are interrelated, and at short peaking times, the pulse height and pulse area are not optimal estimators for detected energy; instead, the signal amplitude and rise time are obtained for each pulse by fitting, thus removing the need for pulse shaping. By avoiding pulse shaping, rise times of tens of nanoseconds resulted in reduced pulse pile-up and allowed decomposition of remaining pulse pile-up at photon separation times down to hundreds of nanoseconds while yielding time-of-arrival information with the precision of 10 ns. Waveform fitting yields simultaneously high energy resolution and high counting rates (two orders of magnitude higher than current digital pulse processors). At pulsed sources or high photon rates, photon pile-up still occurs. We showed that pile-up spectrum fitting is relatively simple and preferable to pile-up spectrum deconvolution. We developed a photon pile-up statistical model for constant intensity sources, extended it to variable intensity sources (typical for FELs), and used it to fit a complex pile-up spectrum. We subsequently developed a Bayesian pile-up decomposition method that allows decomposing pile-up of single events with up to six photons from six monochromatic lines with 99% accuracy. The usefulness of SDDs will continue into the X-ray FEL era of science. Their successors, the ePixS hybrid pixel detectors, already offer hundreds of pixels, each with a similar performance to an SDD, in a compact, robust and affordable package.
KW - Bayesian decomposition
KW - X-ray spectroscopy
KW - free-electron lasers (FELs)
KW - photon counting
KW - photon pile-up
KW - pulse pile-up
KW - pulse processing
KW - silicon drift detectors (SDDs)
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U2 - 10.1109/TNS.2017.2762281
DO - 10.1109/TNS.2017.2762281
M3 - Article
AN - SCOPUS:85031814552
SN - 0018-9499
VL - 64
SP - 2854
EP - 2868
JO - IEEE Transactions on Nuclear Science
JF - IEEE Transactions on Nuclear Science
IS - 11
M1 - 8064694
ER -