Peak finding at low signal-to-noise ratio:: low-l solar acoustic eigenmodes at n≤9 from the analysis of BiSON data

被引:50
|
作者
Chaplin, WJ [1 ]
Elsworth, Y
Isaak, GR
Marchenkov, KI
Miller, BA
New, R
Pinter, B
Appourchaux, T
机构
[1] Univ Birmingham, Sch Phys & Astron, Birmingham B15 2TT, W Midlands, England
[2] Sheffield Hallam Univ, Sch Sci & Math, Sheffield S1 1WB, S Yorkshire, England
[3] European Space Agcy, European Space Res & Technol Ctr, Res & Sci Support Dept, NL-2200 AG Noordwijk, Netherlands
关键词
methods : data analysis; methods : statistical; Sun : interior; Sun : oscillations;
D O I
10.1046/j.1365-8711.2002.05834.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We make use of 9 yr of full-disc helioseismic data - as collected by the ground-based Birmingham Solar-Oscillations Network (BiSON) - to search for low-frequency, low-angular-degree (low-l) acoustic modes. A range of tests are applied to the power spectrum of the observations that search for prominent mode-like structure: strong spikes, structure spanning several bins signifying the presence of width (from damping), and the occurrence of prominent multiplet structure at l greater than or equal to 1 arising principally from the solar rotation and made from several spikes separated suitably in frequency. For each test we present analytical expressions that allow the probability that the uncovered structure is part of the broad-band noise background to be assessed. These make use of the cumulative binomial (Bernoulli) distribution and serve to provide an objective measure of the significance of the detections. This work has to date uncovered nine significant detections of non-broad-band origin that we have identified as low-l modes with radial overtone numbers n less than or equal to 9.
引用
收藏
页码:979 / 991
页数:13
相关论文
共 50 条
  • [41] A wavelet-based method for action potential detection from extracellular neural signal recording with low signal-to-noise ratio
    Kim, KH
    Kim, SJ
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2003, 50 (08) : 999 - 1011
  • [42] Eddy-covariance data with low signal-to-noise ratio: time-lag determination, uncertainties and limit of detection
    Langford, B.
    Acton, W.
    Ammann, C.
    Valach, A.
    Nemitz, E.
    Atmospheric Measurement Techniques, 2015, 8 (10) : 4197 - 4213
  • [43] A MARKOV CHAIN MONTE CARLO ALGORITHM FOR ANALYSIS OF LOW SIGNAL-TO-NOISE COSMIC MICROWAVE BACKGROUND DATA
    Jewell, J. B.
    Eriksen, H. K.
    Wandelt, B. D.
    O'Dwyer, I. J.
    Huey, Greg
    Gorski, K. M.
    ASTROPHYSICAL JOURNAL, 2009, 697 (01): : 258 - 268
  • [44] Capacity analysis of Rayleigh fading channels in low signal-to-noise ratio regime for maximal ratio combining diversity because of combining errors
    Janarthanan, Subhashini
    Bhaskar, Vidhyacharan
    IET COMMUNICATIONS, 2013, 7 (08) : 745 - 754
  • [45] Combined Variational Mode Decomposition and Singular Spectral Analysis for Blind Source Separation in Low Signal-to-Noise Ratio Environments
    Sud, Seema
    SOUTHEASTCON 2021, 2021, : 77 - 81
  • [46] Analysis of signal-to-noise ratio retrieved from multi-GNSS satellite data of land surface reflections
    Qi Liu
    Weiqiang Li
    Shuangcheng Zhang
    Yang Nan
    Jilun Peng
    Zhongmin Ma
    GPS Solutions, 2023, 27
  • [47] Analysis of signal-to-noise ratio retrieved from multi-GNSS satellite data of land surface reflections
    Liu, Qi
    Li, Weiqiang
    Zhang, Shuangcheng
    Nan, Yang
    Peng, Jilun
    Ma, Zhongmin
    GPS SOLUTIONS, 2023, 27 (03)
  • [48] Retrieving accurate relaxometric information from low signal-to-noise ratio 23Na MRI performed in vivo
    Lupu, Mihaela
    Thomas, Carole D.
    Mispelter, Joel
    COMPTES RENDUS CHIMIE, 2008, 11 (4-5) : 515 - 523
  • [49] Analog-to-digital versus time-to-digital conversion for analysis of low signal-to-noise ratio pulsed laser ranging return signal
    Berendt, M. O.
    Ferreira, L.
    Melo, M.
    LASER RADAR TECHNOLOGY AND APPLICATIONS XXVII, 2022, 12110
  • [50] Receiver operating characteristic analysis for evaluating a proper experimental condition of eddy current tests under a low signal-to-noise ratio
    Yu, Fanwei
    Tomizawa, Takuma
    Song, Haicheng
    Yusa, Noritaka
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2023, 71 : S179 - S189