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通过示踪剂数量计数的时间演化打破$f_{\text{NL}}$ - $b_ϕ$简并性

Breaking the $f_{\text{NL}}$--$b_ϕ$ degeneracy with the time evolution of tracer number counts

Caio B. de S. Nascimento, Neal Dalal

arXiv 2607.18229首次发表:更新:

AI 中文总结

研究利用示踪剂数量计数的时间演化来打破$f_{\text{NL}}$ - $b_ϕ$简并性,通过IllustrisTNG和SIMBA的CAMELS套件测试时间演化估计器,表明其可扩展到现实光度选择,校正相关效应,确立了该估计器在现实勘测选择中的稳健性。

AI 中文摘要

通过尺度依赖偏差来约束局部原初非高斯性需要精确确定PNG偏差参数$b_\phi$,它在星系功率谱中与$f_\mathrm{NL}$完全简并。标准通用性关系从线性偏差预测$b_\phi$,但因PNG组装偏差在现实星系群体中失效。时间演化估计器提供了一个有前景的替代方案,从示踪剂数量计数的红移演化推断$b_\phi$。利用IllustrisTNG和SIMBA的CAMELS套件对其与单独宇宙估计器进行测试。主要贡献是表明该估计器可扩展到现实观测者框架光度选择,应用从星系SED推导的校正因子以考虑光度距离变暗和$K$校正。还表明在恒星形成历史假设下,不直接追踪物质涨落增长的物理演化也可校正。这确立了PNG偏差时间演化估计器在现实勘测选择中的稳健性,为未来实际数据应用铺平道路。

英文摘要

Constraining local primordial non-Gaussianity through scale-dependent bias requires an accurate determination of the PNG bias parameter $b_ϕ$, which is completely degenerate with $f_\mathrm{NL}$ in the galaxy power spectrum. The standard universality relation predicts $b_ϕ$ from the linear bias, but breaks down for realistic galaxy populations due to PNG assembly bias. The time evolution estimator offers a promising alternative, inferring $b_ϕ$ from the redshift evolution of tracer number counts. We test it against the separate universe estimator using the IllustrisTNG and SIMBA suites of CAMELS. Our main contribution is to demonstrate that the estimator can be extended to realistic observer-frame photometric selections, provided correction factors derivable from the galaxy SEDs are applied to account for luminosity-distance dimming and $K$-corrections. We further show that physical evolution not directly tracing the growth of matter fluctuations can also be corrected under assumptions about the star formation history: magnitude cuts require correcting for passive stellar fading, after which agreement with the separate universe estimator is restored. This establishes the robustness of the time evolution estimator of PNG bias with realistic survey selections, paving the way to future applications with real data.

Comments17 pages, 9 figures. Comments welcome!

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