典型文献
Estimation of HⅡ Bubble Size Distribution from 21cm Power Spectrum with Artificial Neural Networks
文献摘要：
The bubble size distribution of ionized hydrogen regions probes information about the morphology of HⅡ bubbles during reionization.Conventionally,the HⅡ bubble size distribution can be derived from the tomographic imaging data of the redshifted 21 cm signal from the epoch of reionization,which,however,is observationally challenging even for upcoming large radio interferometer arrays.Given that these interferometers promise to measure the 21 cm power spectrum accurately,we propose a new method,which is based on artificial neural networks,to reconstruct the HⅡ bubble size distribution from the 21 cm power spectrum.We demonstrate that reconstruction from the 21 cm power spectrum can be almost as accurate as being directly measured from the imaging data with fractional error(＜)10％,even with thermal noise at the sensitivity level of the Square Kilometre Array.Nevertheless,the reconstruction implicitly exploits the modeling in reionization simulations,and hence the recovered HⅡ bubble size distribution is not an independent summary statistic from the power spectrum,and should be used only as an indicator for understanding HⅡ bubble morphology and its evolution.
文献关键词：
中图分类号：
作者姓名：
Hayato Shimabukuro;Yi Mao;Jianrong Tan
作者机构：
Yunnan University,SWIFAR,No.2 North Green Lake Road,Kunming 650500,China;Department of Astronomy,Tsinghua University,Beijing 100084,China;Department of Physics&Astronomy,University of Pennsylvania,209 South 33rd Street,Philadelphia,PA 19104,United States of America
文献出处：
引用格式：
[1]Hayato Shimabukuro;Yi Mao;Jianrong Tan-.Estimation of HⅡ Bubble Size Distribution from 21cm Power Spectrum with Artificial Neural Networks)[J].天文和天体物理学研究,2022(03):285-296
A类：
reionization,observationally,Kilometre
B类：
Estimation,Bubble,Size,Distribution,from,21cm,Power,Spectrum,Artificial,Neural,Networks,size,distribution,ionized,hydrogen,regions,probes,information,about,morphology,bubbles,during,Conventionally,can,derived,tomographic,imaging,data,redshifted,signal,epoch,which,however,challenging,even,upcoming,large,radio,arrays,Given,that,these,interferometers,promise,power,spectrum,accurately,propose,new,method,artificial,neural,networks,We,demonstrate,reconstruction,almost,being,directly,measured,fractional,error,thermal,noise,sensitivity,level,Square,Array,Nevertheless,implicitly,exploits,modeling,simulations,hence,recovered,not,independent,summary,statistic,should,used,only,indicator,understanding,evolution
AB值：
0.553127
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