Primordial oscillations are key to the physics right after the Big Bang. Georges Lemaître's theory of the expanding universe was confirmed by spectroscopy of the cosmic microwave background, predicted by Ralph Alpher. Deviations from a simple power-law spectrum could indicate exotic processes inaccessible to particle accelerators.
Instead of templates, the authors used symbolic regression—the PySR algorithm, which searches through analytic expressions, minimizing the discrepancy with cosmic microwave background data. Spectra were computed with the CLASS code at fixed cosmological parameters. Two datasets were used: Planck alone and the combination Planck+ACT+SPT-3G.
Both datasets independently selected an oscillation of the form cos(B/k) with B≈4 Mpc⁻¹. For Planck, the amplitude was −0.03, and for SPA, −0.02. MCMC comparison showed that the inverse template gives a chi-squared improvement of ~12.6 versus ~7.7 for linear and ~5.8 for logarithmic. The amplitude of the inverse oscillation has weak nonzero significance: A = 0.0163+0.0099−0.0071, while the others are consistent with zero. The primordial origin of the signal is supported by polarization data on scales 800≲ℓ≲2000.
The inverse oscillation may point to a period of super-fast expansion with violation of the null energy condition (w < −1), proposed in some models. This links observational cosmology to quantum gravity and string theory, opening a window to the Planck era.
Future experiments like Simons Observatory and CMB-S4, with improved resolution on small scales, will confirm or refute the inverse oscillation. Moreover, the spectroscopic approach with symbolic regression will be increasingly applied to search for non-template signals.
The results touch upon early universe physics, modified gravity, and machine learning methods in astrophysics.
Detailed theoretical elaboration of models that generate inverse oscillations is planned, along with their verification on new data.
The work aligns with the search for inflationary physics beyond the Standard Model, linking the problem of dark energy's nature and the initial singularity of the Big Bang.
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What the work does
The study applies symbolic regression (PySR) to cosmic microwave background data (Planck and Planck+ACT+SPT-3G) to search for oscillations in the primordial power spectrum without predefined templates. The algorithm independently identified an inverse k-oscillation cos(B/k) with B≈4 Mpc⁻¹ in both datasets, which showed better agreement compared to linear and logarithmic oscillations. The amplitude of this oscillation has weak non-zero significance, and polarization data confirm its primordial origin.
Where its strength is
The strength of the work lies in the first application of symbolic regression for a model-independent search of oscillatory features in the power spectrum, which led to the discovery of a non-trivial form cos(B/k) not considered before. This opens the way to a systematic search for unknown structures in cosmological data without theoretical bias.
Where it could go next
Worth trying
Why this may matter
If the inverse oscillation is confirmed, it would be the first observational hint of a violation of the null energy condition in the early universe, linking inflationary cosmology to quantum gravity and string theory. Furthermore, demonstrating the effectiveness of symbolic regression could change the approach to cosmological data analysis, making it more open to unexpected discoveries.
Nearby works in our archive
The closest work in the archive sits at 0.68 by meaning — the usual level for our corpus.
Symbolic regression allowed the algorithm to 'invent' the function cos(B/k) without clues — much like it previously rediscovered Kepler's laws from data.
Oscillations on cosmological scales echo the imagery of a pulsating universe in the works of Ursula Le Guin.