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A New Probe of the High-z BAO scale: BAO tomography With CMB $\times$ LIM-Nulling Convergence

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arxiv 2309.07215 v2 pith:7OYKMO35 submitted 2023-09-13 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords scaleconstrainprecisionstandardbiasedconvergencecosmicestimators
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abstract

Standard rulers such as the baryon acoustic oscillation (BAO) scale serve as workhorses for precision tests of cosmology, enabling distance measurements that probe the geometry and expansion history of our Universe. Aside from BAO measurements from the cosmic microwave background (CMB), most standard ruler techniques operate at relatively low redshifts and depend on biased tracers of the matter density field. In a companion paper, we explored the scientific reach of nulling estimators, where CMB lensing convergence maps are cross-correlated with linear combinations of similar maps from line intensity mapping (LIM) to precisely null out the low-redshift contributions to CMB lensing. We showed that nulling estimators can be used to constrain the high redshift matter power spectrum and showed that this spectrum exhibits discernible BAO features. Here we propose using these features as a standard ruler at high redshifts that does not rely on biased tracers. Forecasting such a measurement at $z \sim 5$, we find that next-generation instruments will be able to constrain the BAO scale to percent-level precision at $7.2 \%$, while our futuristic observing scenario can constrain the BAO scale to $4\%$ precision. This constitutes a fundamentally new kind of BAO measurement during early epochs in our cosmic history.

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Cited by 2 Pith papers

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  1. An Alcock-Paczynski Test on Reionization Bubbles for Cosmology

    astro-ph.CO 2025-02 conditional novelty 6.0 of 10

    Stacks of reionization HII bubbles act as standard spheres, allowing a forecast ~2% measurement of D_A H at z=7.5 with SKA-like 21-cm data.

  2. Mitigating Nonlinear Systematics in Weak Lensing Surveys: The Bernardeau-Nishimichi-Taruya Approach

    astro-ph.CO 2024-12 conditional novelty 5.0 of 10

    The BNT transform of cosmic shear data makes ℓ-space cuts behave like k-space cuts, reducing nonlinear scale leakage and preserving unbiased S8 constraints in Euclid-like forecasts.

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