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Comment on High school student uses AI to reveal 1.5 million previously unknown objects in space.

Endmaker@ani.social ⁨2⁩ ⁨weeks⁩ ago

I was hoping the article tell us more about the technique he developed

The model I implemented can be used for other time domain studies in astronomy, and potentially anything else that comes in a temporal format

All I gathered from it is that it is a time-series model

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Deebster@programming.dev ⁨2⁩ ⁨weeks⁩ ago
I found his paper: iopscience.iop.org/article/10.3847/…/ad7fe6 (no paywall 😃)

From the intro:

VARnet leverages a one-dimensional wavelet decomposition in order to minimize the impact of spurious data on the analysis, and a novel modification to the discrete Fourier transform (DFT) to quickly detect periodicity and extract features of the time series. VARnet integrates these analyses into a type prediction for the source by leveraging machine learning, primarily CNN.

So they start with some good old fashioned signal processing, before feeding the result into a convolution neutral net. The CNN was trained on synthetic data.

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FC = Fully Connected layer, so I assume they mix FC and convolution layers in their NN. I need to read the whole paper, which won’t happen right now.

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