2020
DOI: 10.1016/j.nima.2020.163933
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Comparing significance criteria for cyclic modulations in time series

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Cited by 12 publications
(6 citation statements)
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“…Applying rigour in measurement conditions and data analysis [6,7], laboratories can reach consistency in half-life measurements at levels below 0.1-0.01%, as recently demonstrated in the case of 55 Fe [8,9] and 99m Tc [10]. Repeated activity measurements with the most stable instruments show absence of cyclic perturbations down to 0.023-0.00023% in amplitude [3,11], when excluding the a e-mail: stefaan.pomme@ec.europa.eu (corresponding author) susceptibility of the instrument to environmental conditions and using appropriate significance criteria [11,12]. In spite of the arguments in favour of the exponential-decay law, some authors have questioned the invariability of the decay constants [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 68%
“…Applying rigour in measurement conditions and data analysis [6,7], laboratories can reach consistency in half-life measurements at levels below 0.1-0.01%, as recently demonstrated in the case of 55 Fe [8,9] and 99m Tc [10]. Repeated activity measurements with the most stable instruments show absence of cyclic perturbations down to 0.023-0.00023% in amplitude [3,11], when excluding the a e-mail: stefaan.pomme@ec.europa.eu (corresponding author) susceptibility of the instrument to environmental conditions and using appropriate significance criteria [11,12]. In spite of the arguments in favour of the exponential-decay law, some authors have questioned the invariability of the decay constants [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 68%
“…To determine the significance of any peak in the L-S periodogram, we must calculate its false alarm probability or p-value. A large number of metrics have been constructed to estimate the p-value of peaks in the L-S periodogram [8,22,27,28]. We now briefly describe these myriad metrics, which we label based on the command-line options in Python, which are used to calculate these p-values:…”
Section: Generalized Lomb-scargle Periodogrammentioning
confidence: 99%
“…x . The statistical uncertainty on A ′ (when generated by normally distributed noise) is easily calculated from the uncertainty of the weighted mean of the residuals, σ 2 A ′ = 2σ 2 yw [48]. The ratio k = A ′ /σ A ′ determines the power S = k 2 /2 and the probability P = e −S that a power above S may be produced from random noise.…”
Section: Power Of Annual Cyclementioning
confidence: 99%