[OC] How Artemis II appears across a seismic network — not the strongest signal, but the most organized Visualization

What This Visualization Shows

This data visualization displays "[OC] How Artemis II appears across a seismic network — not the strongest signal, but the most organized" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on I was curious to see how the Artemis II launch would show up across a seismic network, so I pulled some data and took a look.

Each point represents a high-amplitude excursion detected around the launch time (t = 0).

What surprised me is that the launch isn’t especially unique in terms of peak amplitude — similar spikes also occur during normal background conditions — but in how those peaks organize in time.

Instead of isolated events, you get a dense cluster of activity that persists across multiple stations.

Interestingly, the strongest response doesn’t happen exactly at the launch, but with a delay of about 10–20 minutes.

So its not really “louder” — just more organized.

Data: publicly available seismic waveform data (regional network, miniSEED format)

Tools: Python (NumPy, SciPy, Matplotlib), which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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