Taming assembly bias for primordial non-Gaussianity
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866929255594590208 |
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| author | Fondi, Emanuele Verde, Licia Villaescusa-Navarro, Francisco Baldi, Marco Coulton, William R. Jung, Gabriel Karagiannis, Dionysios Liguori, Michele Ravenni, Andrea Wandelt, Benjamin D. |
| author_facet | Fondi, Emanuele Verde, Licia Villaescusa-Navarro, Francisco Baldi, Marco Coulton, William R. Jung, Gabriel Karagiannis, Dionysios Liguori, Michele Ravenni, Andrea Wandelt, Benjamin D. |
| contents | Primordial non-Gaussianity of the local type induces a strong scale-dependent bias on the clustering of halos in the late-time Universe. This signature is particularly promising to provide constraints on the non-Gaussianity parameter $f_{\rm NL}$ from galaxy surveys, as the bias amplitude grows with scale and becomes important on large, linear scales. However, there is a well-known degeneracy between the real prize, the $f_{\rm NL}$ parameter, and the (non-Gaussian) assembly bias i.e., the halo formation history-dependent contribution to the amplitude of the signal, which could seriously compromise the ability of large-scale structure surveys to constrain $f_{\rm NL}$. We show how the assembly bias can be modeled and constrained, thus almost completely recovering the power of galaxy surveys to competitively constrain primordial non-Gaussianity. In particular, studying hydrodynamical simulations, we find that a proxy for the halo properties that determine assembly bias can be constructed from photometric properties of galaxies. Using a prior on the assembly bias guided by this proxy degrades the statistical errors on $f_{\rm NL}$ only mildly compared to an ideal case where the assembly bias is perfectly known. The systematic error on $f_{\rm NL}$ that the proxy induces can be safely kept under control. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_10088 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Taming assembly bias for primordial non-Gaussianity Fondi, Emanuele Verde, Licia Villaescusa-Navarro, Francisco Baldi, Marco Coulton, William R. Jung, Gabriel Karagiannis, Dionysios Liguori, Michele Ravenni, Andrea Wandelt, Benjamin D. Cosmology and Nongalactic Astrophysics Primordial non-Gaussianity of the local type induces a strong scale-dependent bias on the clustering of halos in the late-time Universe. This signature is particularly promising to provide constraints on the non-Gaussianity parameter $f_{\rm NL}$ from galaxy surveys, as the bias amplitude grows with scale and becomes important on large, linear scales. However, there is a well-known degeneracy between the real prize, the $f_{\rm NL}$ parameter, and the (non-Gaussian) assembly bias i.e., the halo formation history-dependent contribution to the amplitude of the signal, which could seriously compromise the ability of large-scale structure surveys to constrain $f_{\rm NL}$. We show how the assembly bias can be modeled and constrained, thus almost completely recovering the power of galaxy surveys to competitively constrain primordial non-Gaussianity. In particular, studying hydrodynamical simulations, we find that a proxy for the halo properties that determine assembly bias can be constructed from photometric properties of galaxies. Using a prior on the assembly bias guided by this proxy degrades the statistical errors on $f_{\rm NL}$ only mildly compared to an ideal case where the assembly bias is perfectly known. The systematic error on $f_{\rm NL}$ that the proxy induces can be safely kept under control. |
| title | Taming assembly bias for primordial non-Gaussianity |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2311.10088 |