Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
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Galaxy cluster counts from eRASS1 plus weak lensing data set the tightest existing upper bounds on ultralight axion relic density Ω_a around 10^{-27} eV (Ω_a < 0.0035) and 10^{-26} eV (Ω_a < 0.0079) at 95% CL.
A CNN for cosmological parameter estimation from large-scale structure relies on both Gaussian and non-Gaussian information, emphasizing scales at the linear-to-nonlinear transition.
citing papers explorer
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Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations
Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
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The SRG/eROSITA all-sky survey: Constraints on Ultra-light Axion Dark Matter through Galaxy Cluster Number Counts
Galaxy cluster counts from eRASS1 plus weak lensing data set the tightest existing upper bounds on ultralight axion relic density Ω_a around 10^{-27} eV (Ω_a < 0.0035) and 10^{-26} eV (Ω_a < 0.0079) at 95% CL.
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Interpretability of deep-learning methods applied to large-scale structure surveys
A CNN for cosmological parameter estimation from large-scale structure relies on both Gaussian and non-Gaussian information, emphasizing scales at the linear-to-nonlinear transition.