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    MathWorks Inc power spectral density function
    Power Spectral Density Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/power+spectral+density/pm40494854-112-10-15
    Average 90 stars, based on 1 article reviews
    power spectral density function - by Bioz Stars, 2026-10
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    Article Title: Abnormal sensorimotor cortex and thalamo-cortical networks in familial adult myoclonic epilepsy type 2: pathophysiology and diagnostic implications
    Article Snippet: The peak frequency of the tremor and the corresponding peak power were identified with power spectral density estimated on EMG traces (Matlab version 2020b) using the Welch method (500 windows of 4 s with 50% overlap).

    Article Title: Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis
    Article Snippet: This method employs power spectral density to find the illegal branches in MATLAB.

    Article Title: Experience-Dependent Coding of Time-Dependent Frequency Trajectories by Off Responses in Secondary Auditory Cortex
    Article Snippet: In order to predict expected spike rates for A fm stimuli from a SU's pure tone tuning, we computed the power spectral density (MATLAB, pwelch.m) of each of the A fm stimuli.

    Article Title: Absolute Theta Power in the Frontal Cortex During a Visuomotor Task: The Effect of Bromazepam on Attention.
    Article Snippet: Bromazepam is a benzodiazepine, which has been widely employed in the treatment of anxiety.. We investigated the electrophysiological changes in absolute theta power within the frontal cortex when individuals performed a visuomotor task under bromazepam.. The sample of 17 healthy individuals was randomized into 2 experimental conditions, under which bromazepam 6 mg and placebo were administered on different days.

    Article Title: Structural constraints on the emergence of oscillations in multi-population neural networks
    Article Snippet: The estimate of oscillation frequency of the firing rate-based model was done using the power spectral density calculated by pwelch function of MATLAB.

    Article Title: Investigation of infrasound signatures from microbaroms using OH airglow and ground-based microbarometers
    Article Snippet: For this purpose, a Morlet wavelet transform is used as well as power spectral density (Matlab code).

    Article Title: Testing for synchrony in recruitment among four Lake Michigan fish species
    Article Snippet: Hence for those time series that 151 revealed autocorrelation, we used a power spectral density (PSD) analysis (estimated using 152 Matlab function pmtm; Mathworks 2015) to determine whether periodicity existed in the 153 recruitment residuals.

    Standard Deviation:

    Article Title: System and method for acoustic detection of coronary artery disease and automated editing of heart sound data
    Article Snippet: .. Hist Time-frequency analysis (See text) 26 FFT Mean of Fourier transform of each segment 27 Power FFT Mean of Power spectral density of each record 28 Ar hi/lo peaks Subtraction of maximum value of average of AR spectrum found in the low frequency and high frequency range. (AR order = 9) 29 pwelch_power Sum of ratio of average Power spectral density in the high frequency region to the average Power spectral density in low frequency region of each segment. (MATLAB default values) 30 pwelch_var Variance in the Power spectral density in the high frequency region to the variance in the Power spectral density in low frequency region. (MATLAB default values) 31 Pwelch Mean of Power spectral density of each segment. (MATLAB default values) 32 mutual delay Mutual information of each segment compared with the next 10 segment in the record 33 std delay Standard deviation of the above parameter The spectral analysis algorithms 104 allow for assessment of heart sound frequency spectra, and include, but are not limited to: fast Fourier transform (FFT); parametric, auto-regressive (AR) methods; and Eigenvector analysis methods such as Multiple Signal classification methods (referred to as “MUSIC” methods). ..



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    SA Instruments noise power spectral density matrix
    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma <t>density</t> from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the <t>power</t> <t>spectral</t> density <t>matrix</t> of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 <t>noise</t> threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.
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    MathWorks Inc power spectral density function
    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma <t>density</t> from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the <t>power</t> <t>spectral</t> density <t>matrix</t> of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 <t>noise</t> threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.
    Power Spectral Density Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc welch’s power spectral density estimate matlab ‘pwelch
    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma <t>density</t> from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the <t>power</t> <t>spectral</t> density <t>matrix</t> of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 <t>noise</t> threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.
    Welch’s Power Spectral Density Estimate Matlab ‘Pwelch, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma <t>density</t> from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the <t>power</t> <t>spectral</t> density <t>matrix</t> of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 <t>noise</t> threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.
    Power Spectral Density Photonics 2025, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma <t>density</t> from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the <t>power</t> <t>spectral</t> density <t>matrix</t> of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 <t>noise</t> threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.
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    Texas Instruments noise power spectral density scanning
    Measurement of <t>noise</t> <t>power</t> <t>spectral</t> <t>density.</t>
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    MathWorks Inc welch’s power spectral density method in matlab 2019a
    Measurement of <t>noise</t> <t>power</t> <t>spectral</t> <t>density.</t>
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    MathWorks Inc power spectral density (psd) calculation using welch’s method
    Measurement of <t>noise</t> <t>power</t> <t>spectral</t> <t>density.</t>
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    MathWorks Inc welch’s power spectral density estimate
    Measurement of <t>noise</t> <t>power</t> <t>spectral</t> <t>density.</t>
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    Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma density from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the power spectral density matrix of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 noise threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Examples of the source dataset. Survey data of the EMFISIS Waves instrument on Van Allen Probe A. The time interval corresponds to one orbital period of the spacecraft, from perigee to perigee. ( a ) Local plasma density from the upper hybrid frequency for a geomagnetically disturbed orbit of 28 September 2017; the red and blue horizontal line on the top indicates the position within the plasmapause and outside of it, respectively, according to an empirical model . ( b ) Trace of the power spectral density matrix of the three magnetic field components as a function of frequency and time. ( c ) Signed magnetic field ellipticity plotted when the magnetic power spectral density is above the P 0 = 10 −7 noise threshold. ( d – f ) Plasma density, trace of the magnetic power spectral density matrix, and signed ellipticity for a geomagnetically calm orbit of 1 January 2015. Four types of whistler mode emissions are shown by numbers and arrows: 1—plasmaspheric hiss, 2a–f—lower band chorus and exohiss, 3—upper band chorus, 4—equatorial noise, 5—lightning generated whistlers. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated from the locally measured magnetic field strength using Eq. . Dotted lines show high density estimates of the local lower hybrid frequency in a proton-electron plasma. Coordinates of the spacecraft are given at the bottom of each ellipticity plot: time UTC, magnetic latitude ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }_{m}$$\end{document} λ m ) in degrees, magnetic local time (MLT) in hours, and the L parameter in the dipole approximation.

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques: Clinical Proteomics, Generated

    Examples of high-resolution spectrograms of lower-band chorus / exohiss. Panels a–f show the trace of the power spectral density matrix of the three magnetic field components as a function of frequency and time, obtained from 6 seconds long continuous burst mode intervals of the EMFISIS Waves instrument on Van Allen Probe A, for events marked 2a–f in Fig. . Spacecraft position and locally measured electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}}$$\end{document} f ce are given on the top of each panel. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated using Eq. . The waveforms, from which panels a–f have been obtained were transformed into stereo wave files (stored on 10.6084/m9.figshare.29433323.v1) using two magnetic field components perpendicular to the local magnetic field line.

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Examples of high-resolution spectrograms of lower-band chorus / exohiss. Panels a–f show the trace of the power spectral density matrix of the three magnetic field components as a function of frequency and time, obtained from 6 seconds long continuous burst mode intervals of the EMFISIS Waves instrument on Van Allen Probe A, for events marked 2a–f in Fig. . Spacecraft position and locally measured electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}}$$\end{document} f ce are given on the top of each panel. Overplotted dashed and solid lines show the frequency interval of lower-band exohiss/chorus between 0.1 and 0.5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 , where the equatorial electron cyclotron frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{{ce}0}$$\end{document} f ce 0 is estimated using Eq. . The waveforms, from which panels a–f have been obtained were transformed into stereo wave files (stored on 10.6084/m9.figshare.29433323.v1) using two magnetic field components perpendicular to the local magnetic field line.

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques: Transformation Assay

    Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} 4 averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments. Red line: probability density estimated by a histogram from a Monte Carlo simulation of the sensor noise. Blue line: scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distribution model according to Eq. . Vertical black dotted line: detection threshold \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${S}_{0}$$\end{document} S 0 (Eq. ) for the trace of the power spectral density matrix to reach above \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${S}_{0}$$\end{document} S 0 with a probability P 0 = 10 −7 .

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} 4 averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments. Red line: probability density estimated by a histogram from a Monte Carlo simulation of the sensor noise. Blue line: scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distribution model according to Eq. . Vertical black dotted line: detection threshold \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${S}_{0}$$\end{document} S 0 (Eq. ) for the trace of the power spectral density matrix to reach above \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${S}_{0}$$\end{document} S 0 with a probability P 0 = 10 −7 .

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques:

    Correction factors and detection thresholds for the simulated trace of the power spectral density matrix obtained from a windowed noise waveform. ( a ) Correction factors from Eqs. and , relevant to the Survey dataset of the EMFISIS Waves instrument on Van Allen Probes. Black dots: average values of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{c\nu }$$\end{document} C c ν for the number of degrees of freedom of the core distribution model; Red dots: average values of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{{cs}}$$\end{document} C cs for the scale of the core distribution model; Black line with error bars: average values and standard deviations of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{t\nu }$$\end{document} C t ν for the number of degrees of freedom of the tail distribution model; Red line with error bars: average values and standard deviations of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{{ts}}$$\end{document} C ts for the scale of the tail distribution model. The results are given as a function of the binary logarithm of the number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l of averaged spectral estimates; ( b ) Detection thresholds at P 0 = 10 −7 , for the trace of the magnetic spectral density matrix in n a = 3 dimensions, as a function of the binary logarithm of the number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l of averaged spectral estimates, assuming a constant sensor noise level of 100 fT 2 /Hz. Red diamonds: thresholds based on the tail distribution model from Eq. , which are used in our procedure, black dots: comparison with thresholds obtained from the core distribution model from Eq. , black solid line: comparison with thresholds based on the noise waveform without a window function, according to Eq. .

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Correction factors and detection thresholds for the simulated trace of the power spectral density matrix obtained from a windowed noise waveform. ( a ) Correction factors from Eqs. and , relevant to the Survey dataset of the EMFISIS Waves instrument on Van Allen Probes. Black dots: average values of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{c\nu }$$\end{document} C c ν for the number of degrees of freedom of the core distribution model; Red dots: average values of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{{cs}}$$\end{document} C cs for the scale of the core distribution model; Black line with error bars: average values and standard deviations of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{t\nu }$$\end{document} C t ν for the number of degrees of freedom of the tail distribution model; Red line with error bars: average values and standard deviations of the correction factor \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${C}_{{ts}}$$\end{document} C ts for the scale of the tail distribution model. The results are given as a function of the binary logarithm of the number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l of averaged spectral estimates; ( b ) Detection thresholds at P 0 = 10 −7 , for the trace of the magnetic spectral density matrix in n a = 3 dimensions, as a function of the binary logarithm of the number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l of averaged spectral estimates, assuming a constant sensor noise level of 100 fT 2 /Hz. Red diamonds: thresholds based on the tail distribution model from Eq. , which are used in our procedure, black dots: comparison with thresholds obtained from the core distribution model from Eq. , black solid line: comparison with thresholds based on the noise waveform without a window function, according to Eq. .

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques: Comparison

    Probability density function (PDF) of the trace of the magnetic power spectral density matrix. Normalized histograms were obtained from the Survey data measured by the EMFISIS Waves instrument onboard Van Allen Probe A between 14:00 and 17:00 UT on January 1, 2015: ( a ) channel number l = 2, central frequency f l = 4 Hz, number of averaged power spectra n l = 1; ( b ) l = 36, f l = 397 Hz, n l = 22; ( c ) l = 58, f l = 5011 Hz, n l = 271, and from the STAFF-SA instrument onboard the Cluster 1 spacecraft between 18:00 and 21:00 UT on March 8, 2002: ( d ) the 6 th frequency channel with a central frequency of 28 Hz and n l = 4 averaged spectra; ( e ) the 13 th channel at 141 Hz and with n l = 32 averaged spectra; ( f ) the 24 th channel at 1794 Hz, with n l = 256 averaged spectra. Blue curves show results of the models based on the scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distributions .

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Probability density function (PDF) of the trace of the magnetic power spectral density matrix. Normalized histograms were obtained from the Survey data measured by the EMFISIS Waves instrument onboard Van Allen Probe A between 14:00 and 17:00 UT on January 1, 2015: ( a ) channel number l = 2, central frequency f l = 4 Hz, number of averaged power spectra n l = 1; ( b ) l = 36, f l = 397 Hz, n l = 22; ( c ) l = 58, f l = 5011 Hz, n l = 271, and from the STAFF-SA instrument onboard the Cluster 1 spacecraft between 18:00 and 21:00 UT on March 8, 2002: ( d ) the 6 th frequency channel with a central frequency of 28 Hz and n l = 4 averaged spectra; ( e ) the 13 th channel at 141 Hz and with n l = 32 averaged spectra; ( f ) the 24 th channel at 1794 Hz, with n l = 256 averaged spectra. Blue curves show results of the models based on the scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distributions .

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques:

    Distribution of Survey data search coil noise for the Van Allen Probe A EMFISIS instrument. Percentiles of the probability distribution of the trace of the magnetic power spectral density matrix as a function of frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{l}$$\end{document} f l , obtained from all 65 frequency channels \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l$$\end{document} l of Survey data measured by the EMFISIS Waves instrument onboard Van Allen Probe A between 14:00 and 17:00 UT on January 1, 2015, and corresponding to examples from Fig. . The colored dotted lines show the theoretical cumulative probabilities of the core model distribution according to Eq. , with the root-mean-square noise level \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l determined using the observed median value. The black dotted line corresponds to the P 0 = 10 −7 detection threshold from the tail model distribution according to Eqs. and , with the same \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l .

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Distribution of Survey data search coil noise for the Van Allen Probe A EMFISIS instrument. Percentiles of the probability distribution of the trace of the magnetic power spectral density matrix as a function of frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{l}$$\end{document} f l , obtained from all 65 frequency channels \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l$$\end{document} l of Survey data measured by the EMFISIS Waves instrument onboard Van Allen Probe A between 14:00 and 17:00 UT on January 1, 2015, and corresponding to examples from Fig. . The colored dotted lines show the theoretical cumulative probabilities of the core model distribution according to Eq. , with the root-mean-square noise level \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l determined using the observed median value. The black dotted line corresponds to the P 0 = 10 −7 detection threshold from the tail model distribution according to Eqs. and , with the same \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l .

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques:

    Distribution of search coil noise for Cluster 1 STAFF-SA instrument. Percentiles of the probability distribution of the trace of the magnetic power spectral density matrix of the instrumental noise as a function of frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{l}$$\end{document} f l obtained from all 27 frequency channels \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l$$\end{document} l of the STAFF-SA instrument onboard Cluster 1. The data were acquired during a calm interval on March 8, 2002 from 18:00 to 21:00 UT. Dotted lines show theoretical cumulative probabilities of the scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distribution according to Eq. , with the root-mean-square noise level \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l 2 determined using the observed median value, and with \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\nu =2\,{n}_{l}\,{n}_{a}$$\end{document} ν = 2 n l n a degrees of freedom, where n a = 3 is the number of search coil antennas, and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l is the number of onboard averaged power spectra. n l = 4 for l = 1…9, n l = 32 for l = 10…18, n l = 256 for l = 19…27. The black dotted line corresponds to P 0 = 10 −7 from Eqs. , .

    Journal: Scientific Data

    Article Title: A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds

    doi: 10.1038/s41597-025-05531-6

    Figure Lengend Snippet: Distribution of search coil noise for Cluster 1 STAFF-SA instrument. Percentiles of the probability distribution of the trace of the magnetic power spectral density matrix of the instrumental noise as a function of frequency \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${f}_{l}$$\end{document} f l obtained from all 27 frequency channels \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l$$\end{document} l of the STAFF-SA instrument onboard Cluster 1. The data were acquired during a calm interval on March 8, 2002 from 18:00 to 21:00 UT. Dotted lines show theoretical cumulative probabilities of the scaled \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\chi }^{2}$$\end{document} χ 2 distribution according to Eq. , with the root-mean-square noise level \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }_{l}^{2}$$\end{document} σ l 2 determined using the observed median value, and with \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\nu =2\,{n}_{l}\,{n}_{a}$$\end{document} ν = 2 n l n a degrees of freedom, where n a = 3 is the number of search coil antennas, and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${n}_{l}$$\end{document} n l is the number of onboard averaged power spectra. n l = 4 for l = 1…9, n l = 32 for l = 10…18, n l = 256 for l = 19…27. The black dotted line corresponds to P 0 = 10 −7 from Eqs. , .

    Article Snippet: Fig. 4 Probability density function of the simulated trace of the noise power spectral density matrix. ( a ) for n l = \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4$$\end{document} averaged independent spectral estimates; ( b ) for n l = 32; ( c ) for n l = 256, relevant for the three groups of frequency channels of the Cluster STAFF-SA instruments.

    Techniques:

    Measurement of noise power spectral density.

    Journal: Micromachines

    Article Title: Low Noise Feed-Through Compensation Circuit Design for Resonant MEMS Pressure Sensor

    doi: 10.3390/mi16040400

    Figure Lengend Snippet: Measurement of noise power spectral density.

    Article Snippet: Noise test experiments for noise power spectral density scanning were conducted on the traditional three-op-amp differential charge amplifiers (LF356, OPA128–Texas Instruments Semiconductor Technology (Suzhou) Co., Ltd. Suzhou, Jiangsu Province, China) and the improved differential charge amplifier (LF356–Texas Instruments Semiconductor Technology (Suzhou) Co., Ltd. Suzhou, Jiangsu Province, China), as depicted in . reveals that conventional three-op-amp differential charge amplifiers exhibit substantial noise power.

    Techniques: