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C. Turbitt, O. Baillie, D. Kerridge, E. Clarke

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Presentation on theme: "C. Turbitt, O. Baillie, D. Kerridge, E. Clarke"— Presentation transcript:

1 C. Turbitt, O. Baillie, D. Kerridge, E. Clarke
An Investigation Into Techniques For Isolating Noise In Observatory Data C. Turbitt, O. Baillie, D. Kerridge, E. Clarke

2 Observatory noise sources
Man-made: Localised interference (vehicles, power lines, RF, etc.) Instrumental noise Processing (scaling, baseline fitting, etc.) Natural Localised current systems (induction effects, etc.)

3 Detecting noise – instrument comparisons
Where one or more instruments operate at an observatory, inter-comparisons readily indicate instrument noise, processing errors & localised disturbance. Not, capable of detecting noise from a distant source or detecting systematic processing errors.

4 Detecting noise – observatory comparisons
Nearby observatories can be compared with tools such as the INTERMAGNET CD Viewer Relies on nearby, good quality observatory.

5 First difference RMS Plots
Love, J., 2006

6 First difference RMS Plots
Transfer function of a first difference filter shows the limitations of using first differences to measure signal amplitude. A first difference is a high pass filter with slow roll-off: 3dB/octave at 10 minutes -3db point at 6 minutes Is there a technique that can better isolate noise from the natural signal?

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9 Step 1: Window in the time domain & FFT

10 Step 2: Window in the frequency domain

11 Step 3: Sum power & plot LSD v geomagnetic latitude

12 Artificial noise: 5nT at 6 minute period

13 Artificial noise: 5nT at 120 minute period

14 Artificial noise: 0.5nT at 3 minute period

15 Artificial noise: 0.5nT at 3 minute period

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20 Conclusions R Project http://cran.r-project.org/
Observatories are encouraged to look at noise by comparing signal amplitudes against other observatories of similar latitude RMS of the first differences is a useful method to detect noise above the natural signal in the band around 6 minutes period for a one-minute data Linear spectral density plots can be used to detect noise at lower frequencies and also, by limiting the band, detect low amplitude noise at high frequencies Limitations: Unable to detect transients (steps, spikes) or timing errors Periodic noise signal of amplitude > natural signal -60 ° < Geomag Latitude < +60° R Project


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