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Dark matter

New Constraints on Cold and Warm Dark Matter Models Through Lyman-alpha Forest Analysis

Strategic Insights

— 2 min read

Research published by the University of Cambridge has set new constraints on cold and warm dark matter models by leveraging the small-scale suppression of structure formation in the Lyman-alpha forest. The study utilized the Sherwood-Relics suite to extract high-fidelity flux power spectra from simulated Lyman-alpha forest data, spanning a broad range of cosmologies and thermal histories. This analysis enabled precise constraints on the warm dark matter fraction and the mass of the WDM particle. Furthermore, the integration of a neural network emulator at the likelihood level significantly accelerated Bayesian parameter inference.

Key Takeaways:

  • The study constrained the warm dark matter fraction, f(WDM), and the mass of the WDM particle, m(WDM), based on high-redshift quasar spectra from UVES and HIRES.
  • The research found that CWDM models can naturally accommodate mild suppression of matter clustering in the high-redshift Lyman-alpha forest 1D flux power, potentially resolving some of the ongoing cosmological tensions at low redshifts.
  • The study used the Sherwood-Relics suite to extract high-fidelity flux power spectra from simulated Lyman-alpha forest data, spanning a broad range of cosmologies and thermal histories.
  • The analysis integrated a neural network emulator directly at the likelihood level, accelerating Bayesian parameter inference and providing precise constraints on the WDM fraction and mass.
  • The research established stringent upper limits on f(WDM) and m(WDM), with f(WDM) < 0.04 for m(WDM) = 1 keV.
  • The study's findings suggest that CWDM models can offer a resolution to the S(8) tension at low redshifts.
  • The research has been peer-reviewed and published in Physical Review D.

Statistics:

  • f(WDM) < 0.04 for m(WDM) = 1 keV.
  • The analysis used 4.2-5.0 redshift quasar spectra from UVES and HIRES.
  • The Sherwood-Relics suite was used to extract high-fidelity flux power spectra from simulated Lyman-alpha forest data.
  • The research spanned a broad range of cosmologies and thermal histories.

Sources:

  • "Constraining Mixed Dark Matter Models With High-redshift Lyman-alpha Forest Data." Physical Review D 112, no. 4 (2025): 1-12. American Physical Society.
  • University of Cambridge. Kavli Institute for Cosmology. Madingley Rd, Cambridge CB3 0HA, United Kingdom.
  • Physical Review D, Amer Physical Soc, One Physics Ellipse, College Pk, MD 20740-3844, USA.
  • NewsRx. Study Data from University of Cambridge Provide New Insights into Physics (Constraining Mixed Dark Matter Models With High-redshift Lyman-alpha Forest Data). Journal of Physics Research. October 21, 2025; p 767.

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