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Local Primordial non-Gaussian Bias from Time Evolution

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arxiv 2503.21736 v1 pith:3GGRU7SM submitted 2025-03-27 astro-ph.CO

Local Primordial non-Gaussian Bias from Time Evolution

classification astro-ph.CO
keywords localbiasevolutionfunctionsignaltimetracerscoefficient
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Primordial non-Gaussianity (PNG) is a signature of fundamental physics in the early universe that is probed by cosmological observations. It is well known that the local type of PNG generates a strong signal in the two-point function of large-scale structure tracers, such as galaxies. This signal, often termed ``scale-dependent bias'' is a generic feature of modulation of gravitational structure formation by a large-scale mode. It is less well-appreciated that the coefficient controlling this signal, $b_{\phi}$, is closely connected to the time evolution of the tracer number density. This correspondence between time evolution and local PNG can be simply explained for a universal tracer whose mass function only depends on peak height, and more generally for non-universal tracers in the separate universe picture, which we validate in simulations. We also describe how to recover the bias of tracers subject to a survey selection function, and perform a simple demonstration on simulated galaxies. Since the local PNG amplitude in $n-$point statistics ($f_{\rm NL}$) is largely degenerate with the coefficient $b_{\phi}$, this proof of concept study demonstrates that galaxy survey data can allow for more optimal and robust extraction of local PNG information from upcoming surveys.

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Cited by 3 Pith papers

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

  1. Impact and measurability of linear relativistic effects in galaxy surveys

    astro-ph.CO 2026-07 accept novelty 6.0

    Neglecting linear GR effects biases f_NL at 1–3σ for Euclid/SPHEREx in SFB forecasts; multi-tracer improves Doppler detection and weakly breaks b_ϕ f_NL degeneracy.

  2. How I stop worrying about non-universality and $b_\phi$: Constraining local $f_{\rm NL}$ with $b_\phi$ priors from HOD posteriors

    astro-ph.CO 2026-07 unverdicted novelty 6.0

    Constructs b_phi priors from HOD posteriors on DESI EDR data to recover unbiased f_NL even with assembly bias.

  3. Euclid preparation: Testing multi-field inflation with galaxy power spectrum and bispectrum

    astro-ph.CO 2026-05 conditional novelty 5.0

    Validates redshift-space power spectrum and bispectrum analysis on Abacus-PNG mocks to recover unbiased f_NL constraints for Euclid spectroscopic sample.