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The temperature dependence of the resistive response of superconducting Pb films upon picosecond optical excitation (1991)

Hu, Xin-Hua ; Juhasz, T. ; Bron, W. E.

Springer

Applied physics 52 (1991), S. 155-159

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ISSN: 1432-0630

Keywords: 74.30.Ga ; 73.60.Ka

Source: Springer Online Journal Archives 1860-2000

Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics

Notes: Abstract We report a study of the temperature dependence of the transient resistivity of superconducting Pb thin films excited by short duration (∼70 ps) laser pulses of varying irradiances. The results are analyzed in terms of a model proposed by Elesin which features the existence of a nonstationary, inhomogeneous, intermediate state.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00323734

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Robust principal component analysis by projection pursuit (1993)

Xie, Yu-Long ; Wang, Ji-Hong ; Liang, Yi-Zeng ; [et al.]

New York, NY : Wiley-Blackwell

Journal of Chemometrics 7 (1993), S. 527-541

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ISSN: 0886-9383

Keywords: Principal component analysis ; Projection pursuit ; Simulated annealing algorithm ; Robust statistics ; Chemistry ; Analytical Chemistry and Spectroscopy

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology

Notes: Principal component analysis (PCA) is a widely used technique in chemometrics. The classical PCA method is, unfortunately, non-robust, since the variance is adopted as the objective function. In this paper, projection pursuit (PP) is used to carry out PCA with a criterion which is more robust than the variance. In addition, the generalized simulated annealing (GSA) algorithm is introduced as an optimization procedure in the process of PP calculation to guarantee the global optimum. The results for simulated data sets show that PCA via PP is resistant to the deviation of the error distribution from the normal one. The method is especially recommended for use in cases with possible outlier(s) existing in the data.

Additional Material: 7 Ill.