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One likelihood to bind them all: Lyman-$\alpha$ constraints on non-standard dark matter
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abstract
Recent cosmological tensions have rekindled the search for models beyond $\Lambda$CDM that cause a suppression of the matter power spectrum. Due to the small scales accessible to Lyman-$\alpha$ data they are an excellent additional tool to probe such models. In this work we extend a recently-developed approach for using Lyman-$\alpha$ data to constrain the power spectrum suppression caused by almost any mixture of cold and non-standard dark matter. We highlight the steps involved in the development of a corresponding likelihood that will be publicly released upon publication of this work. We study three examples of models suppressing the power spectrum, namely feebly interacting dark matter, dark matter interacting with baryons, and mixed cold+warm dark matter. The latter two can be well constrained from Lyman-$\alpha$ data, and we derive novel conclusions on the cosmologically allowed parameter spaces, including finding a mild preference for non-zero interactions between dark matter and baryons. The consistency of the constraints obtained on these models highlight the robustness and flexibility of the likelihood developed here.
Forward citations
Cited by 4 Pith papers
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High resolution Lyman-{\alpha} forest constraints on dark matter-neutrino scattering
The Lyman-alpha forest constrains dark matter-neutrino scattering to u_nu_chi < 1.5e-8 (95% C.L.), excluding previously claimed hints of a non-zero interaction.
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Dark Secrets of Baryons: Illuminating Dark Matter-Baryon Interactions with JWST
JWST ultraviolet luminosity function data currently provide the strongest upper limits on velocity-dependent (∝v^{-2}) dark matter–proton scattering for sub-GeV dark matter.
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Running of the spectral index: Reconciling the CMB with the Lyman-$\alpha$ Forest
Combining Planck, ACT, SPT-3G and eBOSS data, the authors report a ~2σ preference for a nonzero second derivative of the primordial spectral index and show that featureful inflationary potentials fit the data better t...
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Simulation-based inference on warm dark matter from HERA forecasts
Using neural ratio estimation on mock HERA power spectra, the authors forecast 95% lower bounds on the thermal WDM mass that exceed the 5.3 keV Lyman-alpha limit when the galaxy threshold mass Mturn is below 1e8 M_sun.
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