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    A unified and automated approach to attractor reconstruction
    (London : IOP, 2021) Kraemer, K. H.; Datseris, G.; Kurths, J.; Kiss, I. Z.; Ocampo-Espindola, J. L.; Marwan, N.
    We present a fully automated method for the optimal state space reconstruction from univariate and multivariate time series. The proposed methodology generalizes the time delay embedding procedure by unifying two promising ideas in a symbiotic fashion. Using non-uniform delays allows the successful reconstruction of systems inheriting different time scales. In contrast to the established methods, the minimization of an appropriate cost function determines the embedding dimension without using a threshold parameter. Moreover, the method is capable of detecting stochastic time series and, thus, can handle noise contaminated input without adjusting parameters. The superiority of the proposed method is shown on some paradigmatic models and experimental data from chaotic chemical oscillators.
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    Detection of HO2 in an atmospheric pressure plasma jet using optical feedback cavity-enhanced absorption spectroscopy
    (London : IOP, 2016) Gianella, Michele; Reuter, Stephan; Aguila, Ana Lawry; Ritchie, Grant A. D.; Helden, Jean-Pierre H. van
    Cold non-equilibrium atmospheric pressure plasma jets are increasingly applied in material processing and plasma medicine. However, their small dimensions make diagnosing the fluxes of generated species a challenge. Here we report on the detection of the hydroperoxyl radical,HO2, in the effluent of a plasma jet by the use of optical feedback cavity-enhanced absorption spectroscopy. The spectrometer has aminimumdetectable absorption coefficient amin of 2.25 ´10-10 cm−1 with a 100 second acquisition, equivalent to 5.5 ´ 1012 cm-3 ofHO2 (under ideal conditions). Concentrations in the range of (3.1–7.8) ×1013 cm−3 were inferred in the 4mmwide effluent of the plasma jet.