Hi! Yes, that kind of noise is quite common. You can try a few simple steps: – remove the background first, – use wavelet or Fourier filtering, – if the signal shape is known, apply a Kalman or matched filter. These usually help clean the signal effectively.💬🙌
That’s a great topic! You might look into the van der Waals analogy and use Gibbs free energy analysis — it’s often applied to study black hole phase transitions.👌
That sounds really interesting! I’m not working on solar radio emissions, but I find time-dependent modeling fascinating. Would love to see your results!🙂 That sounds really interesting! I’m not working on solar radio emissions, but I find time-dependent modeling fascinating. Would love to see your results!🙂
Hi! 👋I’ve faced similar issues — detector noise can be really tricky. Denoising autoencoders or wavelet filtering might help reduce it before training.🤔
Hi! 👋 No, I haven’t used PHOEBE, but your project sounds really interesting. Good luck with your research!
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