从原始非高斯强度映射探测器中去除干扰物
Removing Interlopers From Intensity Mapping Probes Of Primordial Non-Gaussianity
摘要：
线强度映射（LIM）有可能产生高度精确的测量原始非高斯性（PNG）的尺度依赖性偏差，因为它能够映射比星系巡天更大的体积。由$f_{NL}$参数化的PNG导致对偏置的尺度依赖性校正，并且因此导致对线强度功率谱的校正。然而，LIM经历了来自前景发射的污染，包括来自其他红移的插入发射线，这些红移改变了这些尺度下地图的功率谱，可能使$f_{NL}$的测量产生偏差。在这里，我们模拟了即将到来的原始非高斯（PNG）从通货膨胀的线强度映射探测线闯入者的影响。作为一个例子，我们考虑的$[\rm CII]$线在目标红移$z_t = 3.6$探测PNG，与重要的系统性问题是前景污染来自CO线驻留在不同的红移从目标红移。我们发现，闯入者线可能会导致一个显着的偏见和增加的错误，我们的PNG约束，导致一个假阳性的非标准通货膨胀模型。我们的模型如何以及互相关技术可以减少这种干扰污染。我们发现$f_{NL}$的不确定性减少了2和6的因素，分别为本地和正交形状PNG，和5的因素，如果我们考虑7个闯入者行，几乎消除了闯入者的影响。这项工作表明，联合使用线强度图的交叉功率谱和自功率谱可能会在测量非高斯性时消除干扰者的影响。
英文摘要：
Line intensity mapping (LIM) has the potential to produce highly precise measurements of scale-dependence bias from primordial non-Gaussianity (PNG) due to its ability to map much larger volumes than are available from galaxy surveys. PNG parameterized by $f_{NL}$ leads to a scale-dependent correction to the bias, and therefore a correction to the line intensity power spectrum. However, LIM experiences contamination from foreground emission, including interloping emission lines from other redshifts which alter the power spectra of the maps at these scales, potentially biasing measurements of $f_{NL}$. Here we model the effect of line interlopers on upcoming line intensity mapping probes of primordial non-Gaussianity (PNG) from inflation. As an example, we consider the $[\rm CII]$ line at target redshift $z_t = 3.6$ to probe PNG, with the important systematic concern being foreground contamination from CO lines residing at redshifts different from the target redshift. We find interloper lines can lead to a significant bias and an increase in errors for our PNG constraints, leading to a false positive for non-standard inflation models. We model how well the cross-correlation technique could reduce this interloper contamination. We find the uncertainty of $f_{NL}$ reduces by factors of two and six for local and orthogonal shape PNG respectively, and by a factor of five for local shape if we consider seven interloper lines, almost eliminating the effect of interlopers. This work shows that using cross-power and auto-power spectra of line intensity maps jointly could potentially remove the effects of interlopers when measuring non-Gaussianity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
