Statistical detection of meteor showers using data from the Swedish infrasound network Ludwik Liszka Swedish Institute of Space Physics SLU 901 83 Umea,

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Presentation transcript:

Statistical detection of meteor showers using data from the Swedish infrasound network Ludwik Liszka Swedish Institute of Space Physics SLU Umea, Sweden

Swedish Infrasound Network Present stations: Kiruna Jamton Lycksele Uppsala

Search for small and medium meteor events – objectives: To search for meteor events below the infrasonic background level To establish a set of indicators which can be used to discriminate a single event To develop techniques for extraction of events from combined multi-station data

Meteor on in Morjärv, Northern Sweden

Morjärv Meteor

Angle-of-arrival = 208º Vp = 350 m/s

Morjärv Meteor

How to optimize the indicators? Principal Component Analysis (PCA) of multiple indicator data Indicators are distributions of variables: Angle-of-arrival Phase velocity Crosscorrelation Spectral slope

Principal component analysis Purpose: to find a direction where maximum variance may be found in multivariate data

PCA Direction of maximum variance

Angle-of-arrival Entropy = (Emax=0, Emin=-2.42)

Phase velocity Vp

Cross-correlation

Spectral slope

Parameters of the analysis 1 window = 128 data points (7.11 sec) The window is moved in 32p steps (overlap) Distributions are created for each sample of 50 positions of the window 16 samples / 30 minutes

Discrimination of meteor impacts Selection of data to find proper combination of indicators: Concorde vs. North Sea Meteor Another approach is to apply PCA without pre-selecting transformation coefficients

Comparison of indicators

Plot of component loadings

High cross-correlation counts

Meteor discrimination

Bavarian Meteor th principal component

Discriminant function based on 5 th PC

Small meteors – meteor showers Leonids –

Small meteors – meteor showers Leonids –

Combination of information from 2 stations (North Sea Meteor) Lycksele - Jamton

Combination of information from 2 stations (North Sea Meteor) Lycksele - Kiruna

Combination of information from 2 stations (Leonids ) Lycksele - Jamton

Conclusions PCA may be used to discriminate events with a specific signature, like meteor impacts The method may be applied to events below the noise level, for example, meteor showers