2022
DOI: 10.1088/1475-7516/2022/10/063
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Performance forecasts for the primordial gravitational wave detection pipelines for AliCPT-1

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 paramet… Show more

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Cited by 20 publications
(13 citation statements)
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“…This is true according to Ghosh et al [16], which shows the small scale structures are almost unaffected by the TOD filtering. II The point source mask is big enough to include the majority of the point source.…”
Section: The Realistic Templatementioning
confidence: 71%
See 1 more Smart Citation
“…This is true according to Ghosh et al [16], which shows the small scale structures are almost unaffected by the TOD filtering. II The point source mask is big enough to include the majority of the point source.…”
Section: The Realistic Templatementioning
confidence: 71%
“…Especially, all available CMB experiments in the next 5-10 years are ground-based, which are ineluctably contaminated by the atmosphere and ground emissions. In order to produce clean sky maps, filtering of modes (including polynominal filtering) in the time ordered data (TOD) is used in many CMB experiments to avoid/alleviate these contaminations, and has become a standard procedure in data processing pipeline of ground-based CMB experiments, such as in the BICEP2/Keck experiment [8], the Simons Observatory [14], and AliCPT [16].…”
Section: Introductionmentioning
confidence: 99%
“…We re-observe the coadded sky map consisting of signal and noise in each band, using the same number of detectors as AliCPT-1's single band. The detailed pipeline is presented in [12].…”
Section: Mock Data and Foreground Cleaningmentioning
confidence: 99%
“…For the foreground removal procedure, AliCPT will initially use sky maps from Planck HFI four bands and WMAP K band to increase frequency coverage and improve foreground removal efficiency. Component separation methods will be used in the pipelines of AliCPT as described in Santos et al (2019), Remazeilles et al (2021), andGhosh et al (2022). In the future, AliCPT will explore the possibility of building more channels for corresponding observations.…”
Section: Forecasting Proceduresmentioning
confidence: 99%