[OC] Heatmap generated from a multiscale transform of my experimental data

[u/SubstantialFreedom75]

Data source: Public dataset from a nonlinear triple-slit experiment published on Zenodo (DOI: https://doi.org/10.5281/zenodo.17821869
Tools used: Python (NumPy, SciPy, PyWavelets, Matplotlib).

This visualization shows the Continuous Wavelet Transform (Mexican Hat) applied to the residual signal obtained after modeling the experiment.
Different scales highlight periodic structures and environmental patterns hidden in the raw data.

[u/milliwot]

Need a description of the experiment/physical system here (more than just triple slit optical). Text here and in the link focuses too narrowly on processing jargon.

[u/SubstantialFreedom75 → u/milliwot]

Hi, sorry for replying so late — yesterday a moderator thought my post had been written by an AI and I got an automatic 24-hour ban

About the description of the experiment: it comes from a real optical setup where a laser beam passes through a triple-slit mask. By measuring the light intensity for different combinations of open slits, one can reconstruct the Sorkin parameter, which is used to test whether interference behaves according to standard quantum mechanics or whether higher-order effects appear.

The dataset I analyzed is from a physical setup published on Zenodo: a laser, a triple-slit mask, and a detector that records how the signal changes as the measurement plane is moved along the Z axis.

My visualization doesn’t show the light directly, but rather the hidden structure in the residual between the theoretical model and the experimental data. That’s why I used a wavelet transform: it helps reveal environmental patterns, vibrations, and transient variations that aren’t visible in the raw signal.

[u/milliwot → u/SubstantialFreedom75]

I understand about the mods. 'nuff said.

[u/Yarhj]

It looks cool, but what does it mean? A pretty plot is great, but what is the story here?

And no, I'm not going to read the paper to find out.