Flicker-noise spectroscopy in earthquake prediction research

Descherevsky, A. V.; Lukk, A. A.; Sidorin, A. Ya.; Vstovsky, G. V.; Тимашев, С. Ф.

doi:10.5194/nhess-3-159-2003

Cited by 27 publications

(23 citation statements)

References 6 publications

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“…Because of this, we attempted to investigate the structure of liquids in water, methanol, n-hexanol, and n-hexane by the method of flicker-noise spectroscopy (FNS), which is described in detail in [10]. The FNS method makes it possible to detect statistical ensembles of structures that are formed and break down rapidly in liquids.…”

mentioning

confidence: 99%

Cluster Structure of Liquid Alcohols, Water, and n-Hexane

Zubova¹,

Zubov²,

Zubov³

2005

J Appl Spectrosc

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The processes of cluster formation in liquid alcohols, water, methanol, n-hexanol, and n-hexane have been investigated by the method of flicker-noise spectroscopy. Two types of clusters -clusters with a close-packed structure and clusters with a loose structure -have been detected. The energy of formation of different clusters in methanol and n-hexane ranges, respectively, from −250 to +250 J/mole and from −50 to +50 J/mole. The smallest clusters of methanol, n-hexanol, water, and n-hexane consist, respectively, of six, two, eleven, and two molecules, and their largest clusters represent oscillators consisting, respectively, of 50,400, 17,200, 93,500, and 33,150 molecules at 274 K. In methanol at 271 K, more than 44 types of clusters consisting of 6, 97, 152, 219, 297, 492, 1029, 1368, 1560, etc. molecules were detected. In n-hexanol at 273 K, 57 types of clusters were detected. Models of small clusters are proposed. In water, the content of close-packed clusters is maximum at 277 K. The energy of formation/decomposition of small clusters in water ranges from −0.4 to +0.4 kJ/mole and increases with increase in the water temperature. The hysteresis of transformation of the (H 2 O) 280 cluster in the process of heating and cooling of water in the temperature range 273-280 K was detected. Series of energy spectra of clusters in liquids at different temperatures are presented and discussed.

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confidence: 99%

Cluster Structure of Liquid Alcohols, Water, and n-Hexane

Zubova¹,

Zubov²,

Zubov³

2005

J Appl Spectrosc

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“…Let k ( i ) ( i = i * t) be i-th SF value calculated for k-th position of the sliding window. One non-stationarity criterion set proposed by Prof. Timashev (Descherevsky et al, 2003) (integral relative criterion -IRC) reads…”

Section: Data Processing Methods and Resultsmentioning

confidence: 99%

First experience of seismodeformation monitoring of Baikal rift zone (by the example of South-Baikal earthquake of 27 August 2008)

Vstovsky

Bornyakov

2010

Nat. Hazards Earth Syst. Sci.

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Abstract.A novel method of data processing -a structural functions curvature analysis method -was applied to the time series of seismodeformation monitoring of Baikal rift zone from April to November 2008, revealing the unique features of monitoring variable behaviour that can be considered as a revelation of precursors to the intensive South-Biakal earthquake (M=6.3, at 09:31 on 27 August 2008). The idea of a new approach leans upon basic ideas of modern physics of self-organized criticality and open non-equilibrium systems in general.

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“…Conclusions -We have derived the sensitivity of noise spectroscopies from estimation theory, finding simple expressions for the Fisher information matrix in terms of the spectral model. The result enables rigorous use of noise spectra in cell biology [5,6], molecular biophysics [7,8], geophysics [9], space science [10], and quantum in- formation processing [12][13][14][15][16]. For optically-probed particulate systems that show line-broadening, e.g.…”

mentioning

confidence: 99%

“…Noise spectroscopies, in which naturally occurring fluctuations of a system of interest are recorded by a noninvasive probe, have applications in a wide range of disciplines including atomic [1] and solid state physics [2,3], surface science [4], cell biology [5,6], molecular biophysics [7,8], geophysics [9], space science [10], quantum optomecanics [11], and quantum information processing [12][13][14][15][16]. By the fluctuation-dissipation theorem, the noise spectrum under thermal equilibrium gives the same information as do driven spectroscopies, with the advantage of characterizing the system in its natural, undisturbed state [17].…”

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confidence: 99%

Sensitivity, quantum limits, and quantum enhancement of noise spectroscopies

et al. 2017

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We study the fundamental limits of noise spectroscopy using estimation theory, Faraday rotation probing of an atomic spin system, and squeezed light. We find a simple and general expression for the Fisher information, which quantifies the sensitivity to spectral parameters such as resonance frequency and linewidth. For optically-detected spin noise spectroscopy, we find that shot noise imposes "local" standard quantum limits for any given probe power and atom number, and also "global" standard quantum limits when probe power and atom number are taken as free parameters. We confirm these estimation theory results using non-destructive Faraday rotation probing of hot Rb vapor, observing the predicted optima and finding good quantitative agreement with a firstprinciples calculation of the spin noise spectra. Finally, we show sensitivity beyond the atom-and photon-number-optimized global standard quantum limit using squeezed light. , and quantum information processing [12][13][14][15][16]. By the fluctuation-dissipation theorem, the noise spectrum under thermal equilibrium gives the same information as do driven spectroscopies, with the advantage of characterizing the system in its natural, undisturbed state [17]. Understanding the statistical sensitivity of noise spectroscopy is essential for rigorous use of the technique in any of these fields. We study this problem from the perspective of parameter estimation theory, to derive the covariance matrix for spectral parameters obtained by fitting experimental spectra.We illustrate and test the results using spin noise spectroscopy (SNS), a versatile technique that measures magnetic resonance features from thermal spin fluctations [18]. Non-optical SNS based on resonance force microscopy [19,20] Quantum statistical fluctuations such as shot noise are often limiting in noise spectroscopies [6,27,34], making it important to understand quantum limits and techniques to overcome them. A general framework to estimate the spectra of noisy classical forces influencing quantum systems has been applied to spectroscopy by homodyne detection of an externally-imposed noisy phase [35]. This framework provides fundamental limits but can be applied to noise spectroscopies only in the weak probing regime, due to the assumed "classical," i.e., imperturbable, nature of the estimated force.In contrast, our results make no classicality assumption. For FR-SNS we show two new results concerning the quantum limits of the technique: first, availability of unlimited particle-number resources gives rise to an optimal sensitivity at finite number, in contrast to standard models from quantum metrology [36,37], which have sensitivity monotonic in particle number and thus must assume an externally-imposed constraint to give meaningful results, and second, the number-optimized standard-quantum-limit sensitivity can be surpassed using squeezed-light probes. These theoretical predictions are tested by comparison against FR-SNS of hot rubidium vapor using a quantum-noise-limited probing system [34] and...

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Flicker-noise spectroscopy in earthquake prediction research

Cited by 27 publications

References 6 publications

Cluster Structure of Liquid Alcohols, Water, and n-Hexane

Cluster Structure of Liquid Alcohols, Water, and n-Hexane

First experience of seismodeformation monitoring of Baikal rift zone (by the example of South-Baikal earthquake of 27 August 2008)

Sensitivity, quantum limits, and quantum enhancement of noise spectroscopies

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