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Fast simulations for intensity mapping experiments

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arxiv 1405.1751 v2 pith:U5Y45WCF submitted 2014-05-07 astro-ph.CO

Fast simulations for intensity mapping experiments

David Alonso , Pedro G. Ferreira , Mario G. Santos This is my paper
classification astro-ph.CO
keywords codeexperimentsintensitymappingcomputationalcosmologicalforegroundsgenerate
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We present a code to generate mock observations of 21 cm intensity mapping experiments. The emphasis of the code is on reducing the computational cost of running a full-blown simulation, trading computational time for accuracy. The code can be used to generate independent realizations of the cosmological signal and foregrounds, which are necessary, for instance, in order to obtain realistic forecasts for future intensity mapping experiments. The code is able to reproduce the correct angular and radial clustering pattern for the cosmological signal, including redshift-space distortions, lightcone evolution and bias. Furthermore, it is possible to simulate a variety of foregrounds, including the potentially problematic polarized synchrotron emission.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Effects of primordial magnetic fields on 21 cm multifrequency angular power spectra

    astro-ph.CO 2025-10 unverdicted novelty 7.0

    The paper calculates multifrequency angular power spectra of the 21 cm line for models with primordial magnetic fields of strength 4 nG and spectral indices -2.9 and -2.5, then estimates signal-to-noise ratios for uGM...

  2. meer21cm: an Analysis Pipeline and Comprehensive Toolkit for HI Intensity Mapping

    astro-ph.CO 2026-07 accept novelty 5.0

    meer21cm is a publicly available Python toolkit for post-calibration analysis of single-dish HI intensity mapping surveys, achieving percent-level accuracy on simulated MeerKAT data in the k range 0.02-0.2 h/Mpc.

  3. Cosmology with HI Intensity Mapping

    astro-ph.CO 2026-07 accept novelty 4.0

    SKAO HI intensity mapping forecasts yield competitive LambdaCDM constraints (e.g. H0 to ~0.3 km/s/Mpc optimistic) via power spectrum, BAO, bispectrum and stacking, complementary to CMB and optical surveys.

  4. Methodological Frontiers in 21-cm Intensity Mapping: the Treatment of Systematics and Foreground Contamination

    astro-ph.CO 2026-06 unverdicted novelty 2.0

    A review chapter summarizing advances in map-making and component-separation techniques for 21-cm intensity mapping to address systematics and foreground contamination in simulations for SKA-Mid.