Predicting Primordial Non-Gaussianity Measurements in the CSST Spectroscopic Survey
Primordial non-Gaussianity (PNG) is a fundamental probe of the physics of the early Universe and inflation. Here we present a comprehensive study of the constraints on the local-type PNG parameter, $f_{\rm NL}$, for the spectroscopic galaxy survey of the upcoming Chinese Space-station Survey Telescope (CSST). Utilizing the high-resolution Jiutian N-body simulation suite, we construct realistic mock catalogs for emission line galaxies (ELGs) at three representative redshifts $z=0.3$, 0.6, and 0.9. The expected CSST observational characteristics are also considered, including redshift uncertainties and selection functions based on signal-to-noise ratios of emission lines. We develop a robust analysis framework for the redshift-space galaxy power spectrum and bispectrum that accounts for redshift-space distortions, scale-dependent bias, and nonlinear effects. For the parameter $p$ in the PNG bias $b_ϕ$ with $p=0.55$, we find $f_{\rm NL}=-4\pm43$ if only using the power spectrum data, and $f_{\rm NL}=3\pm41$ after combining the bispectrum data, reducing the uncertainty by $\sim$5%.For the $p=1$ case, the constraint results are $f_{\rm NL}=-3\pm86$ and $54^{+70}_{-80}$ for comparison. This work demonstrates the potential of the Stage IV surveys like CSST to probe inflationary physics, and highlights the importance of higher-order statistics in extracting information from large-scale structure surveys.