Abstract:
AliCPT is the first Chinese cosmic microwave background (CMB) experiment
which will make the most precise measurements of the CMB polarization in the
northern hemisphere. The key science goal for AliCPT is the detection of
primordial gravitational waves (PGWs). It is well known that an epoch of cosmic
inflation, in the very early universe, can produce PGWs, which leave an imprint
on the CMB in form of odd parity $B$-mode polarization. In this work, we study
the performance of the component separation and parameter estimation pipelines
in context of constraining the value of the tensor-to-scalar ratio. Based on
the simulated data for one observation season, we compare five different
pipelines with different working principles. Three pipelines perform component
separation at map or spectra level before estimating $r$ from the cleaned
spectra, while the other two pipelines performs a global fit for both
foreground parameters and $r$. We also test different methods to account for
the effects of time stream filtering systematics. This work shows that our
pipelines provide consistent and robust constraints on the tensor-to-scalar
ratio and a consistent sensitivity $\sigma(r) \sim 0.02$. This showcases the
potential of precise $B$-mode polarization measurement with AliCPT-1. AliCPT
will provide a powerful opportunity to detect PGWs, which is complementary with
various ground-based CMB experiments in the southern hemisphere.
-
Subject:
Astronomy
>>
Astrophysical processes
-
Cite as:
ChinaXiv:202303.04977
(or this version
ChinaXiv:202303.04977V1)
DOI:10.12074/202303.04977V1
CSTR:32003.36.ChinaXiv.202303.04977.V1
-
TXID:
8b39abf7-9060-4346-8066-20b55900856c
- Recommended references:
Shamik Ghosh,Yang Liu,Le Zhang,Siyu Li,Junzhou Zhang,Jiaxin Wang,Jiazheng Dou,Jiming Chen,Jacques Delabrouille,Mathieu Remazeilles,Chang Feng,Bin Hu,Zhi-Qi Huang,Hao Liu,Larissa Santos,Pengjie Zhang,Zhaoxuan Zhang,Wen Zhao,Hong Li,Xinmin Zhang.Performance forecasts for the primordial gravitational wave detection
pipelines for AliCPT-1.中国科学院科技论文预发布平台.[ChinaXiv:202303.04977V1]
(Click&Copy)