Testing for calibration systematics in the EDGES low-band data using Bayesian model selection
Testing for calibration systematics in the EDGES low-band data using Bayesian model selection
复制标题
使用贝叶斯模型选择测试 EDGES 低频带数据中的校准系统
DOI:
10.1093/mnras/stz3388
复制
发表时间:
2019
影响因子:
4.8
通讯作者:
J. Pober
中科院分区:
文献类型:
--
作者:
P. Sims;J. Pober
Cosmic Dawn (CD), when the first stars and proto-galaxies began to form, is commonly expected to be accompanied by an absorption signature at radio frequencies. This feature arises as Lyman α photons emitted by these first luminous objects couple the 21 cm excitation temperature of intergalactic hydrogen gas to its kinetic temperature, driving it into absorption relative to the cosmic microwave background. The detailed properties of this absorption profile encode powerful information about the physics of CD. Recently, Bowman et al. analysed data from the EDGES low-band radio antenna and found an unexpectedly deep absorption profile centred at 78 MHz, which could be a detection of this signature. Their specific analysis fit their measurements using a polynomial foreground model, a flattened Gaussian absorption profile, and a white noise model; we argue that a more accurate model, that includes a detailed noise model and accounting for the effects of plausible calibration errors, is essential for describing the EDGES data set. We perform a Bayesian evidence-based comparison of models of the EDGES low-band data set and find that those incorporating these additional components are decisively preferred. The subset of the best-fitting models of the data that include a global signal favours an amplitude consistent with standard cosmological assumptions (A < 209 mK). However, there is not strong evidence to favour models of the data including a global 21 cm signal over those without one. Ultimately, we find that the derivation of robust constraints on astrophysics from the data is limited by the presence of systematics.
DOI:
10.1088/1538-3873/129/974/045001
发表时间:
2017-04-01
影响因子:
3.5
作者:
DeBoer, David R.;Parsons, Aaron R.;Zheng, Haoxuan
通讯作者:
Zheng, Haoxuan
影响因子:
6.5
作者:
van Haarlem, M. P.;Wise, M. W.;van Zwieten, J.
通讯作者:
van Zwieten, J.