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Week 5: The noisy Sun

Hear bursts, baselines and interference without treating every spike as a solar event.

Week 05 · Interference

23 August 2027

How do we distinguish a solar radio event from noise, interference and instrument drift?

Data object
solar radio dynamic spectrum
Lecture deckOpen the taught visual narrative

The question

A dynamic spectrum contains time, frequency and intensity. It also contains missing channels, terrestrial interference and calibration artefacts. We test scan paths that preserve two dimensions instead of flattening everything into one melody.

Signal chain

Frequency-by-time intensity matrix → mark unavailable cells → select a scan direction → map frequency to pitch and intensity to loudness → keep flagged noise audible or explicitly muted. Silence is also an editorial decision.

Students annotate which features are observations, which are suspected noise and which cannot be classified from the data alone.

Observation guide 05

Interference

Use this page before the slides, then return to the checkpoint after the lab.

  1. Read time, frequency and intensity in a dynamic spectrum.
  2. Keep interference flags distinct from missing and measured values.
  3. Choose a scan path that does not collapse two dimensions without disclosure.
relative spectral power
A synthetic frequency scan with one narrow persistent spike. Values are a teaching model, not an astronomical observation.

Retain the suspicious channel

A synthetic frequency scan with one narrow persistent spike.

  1. Plot the channel values before filtering.
  2. Mark the two high bins as suspected interference rather than confirmed solar emission.
  3. Render flagged bins with a separable timbre while preserving their positions.
  4. Compare the full and muted versions against the same identification task.

What the method supportsThe flagged cue preserves where the anomaly occurred without pretending its cause is known. Muting it creates a cleaner result but removes evidence of the editorial decision.

What is the honest audible treatment when a bright feature may be terrestrial interference but cannot be classified from this dataset alone?Reveal the reasoning

Keep it present, flag it distinctly and label the cause unknown.

Deleting the feature would overstate certainty. Presenting it as solar would do the same. A separate cue lets the listener inspect the data while preserving the unresolved classification.

Solar radio observations by Australian Space Weather Forecasting Centre

Use operational solar radio products to see how time, frequency and event context are reported.

This flagging discipline carries into missing-data and uncertainty design in Week 9.

Teaching team