J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges
文献类型：期刊论文
| 作者 | Jiao, Sihan1,2; Lin, Yuxin3; Shui, Xiangyu4; Wu, Jingwen1,2; Ren, Zhiyuan1,2; Li, Di1,2,5
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| 刊名 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
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| 出版日期 | 2022-09-01 |
| 卷号 | 65期号:9页码:19 |
| 关键词 | star formation molecular clouds image processing |
| ISSN号 | 1674-7348 |
| DOI | 10.1007/s11433-021-1902-3 |
| 英文摘要 | Ground-based, high-resolution bolometric (sub)millimeter continuum mapping observations on spatially extended target sources are often subject to significant missing fluxes. This hampers accurate quantitative analyses. Missing flux can be recovered by fusing high-resolution images with observations that preserve extended structures. However, the commonly adopted image fusion approaches do not maintain the simplicity of the beam response function and do not try to elaborate the details of the yielded beam response functions. These make the comparison of the observations at multiple wavelengths not straightforward. We present a new algorithm, J-comb, which combines the high and low-resolution images linearly. By applying a taper function to the low-pass filtered image and combining it with a high-pass filtered image using proper weights, the beam response functions of our combined images are guaranteed to have near-Gaussian shapes. This makes it easy to convolve the observations at multiple wavelengths to share the same beam response functions. Moreover, we introduce a strategy to tackle the specific problem that the imaging at 850 mu m from the present-date ground-based bolometric instrument and that taken with the Planck satellite do not overlap in the Fourier domain. We benchmarked our method against two other widely-used image combination algorithms, CASA-feather and MIRIAD-immerge, with mock observations of star-forming molecular clouds. We demonstrate that the performance of the J-comb algorithm is superior to those of the other two algorithms. We applied the J-comb algorithm to real observational data of the Orion A star-forming region. We successfully produced dust temperature and column density maps with similar to 10 '' angular resolution, unveiling much greater details than the previous results. A python code release of J-comb and implementation of the algorithm are available at https://github.com/SihanEao/J-comb. |
| 资助项目 | National Natural Science Foundation of China[11988101] ; National Natural Science Foundation of China[11725313] ; National Natural Science Foundation of China[11911530226] ; National Natural Science Foundation of China[11403041] ; Chinese Academy ofSciences (CAS) International Partnership Program[114A11KYSB20160008] ; National Key R&D Program of China[2017YFA0402700] ; Science and Technology Facilities Council of the United Kingdom |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000833489000003 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy ofSciences (CAS) International Partnership Program ; Chinese Academy ofSciences (CAS) International Partnership Program ; National Key R&D Program of China ; National Key R&D Program of China ; Science and Technology Facilities Council of the United Kingdom ; Science and Technology Facilities Council of the United Kingdom ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy ofSciences (CAS) International Partnership Program ; Chinese Academy ofSciences (CAS) International Partnership Program ; National Key R&D Program of China ; National Key R&D Program of China ; Science and Technology Facilities Council of the United Kingdom ; Science and Technology Facilities Council of the United Kingdom ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy ofSciences (CAS) International Partnership Program ; Chinese Academy ofSciences (CAS) International Partnership Program ; National Key R&D Program of China ; National Key R&D Program of China ; Science and Technology Facilities Council of the United Kingdom ; Science and Technology Facilities Council of the United Kingdom ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy ofSciences (CAS) International Partnership Program ; Chinese Academy ofSciences (CAS) International Partnership Program ; National Key R&D Program of China ; National Key R&D Program of China ; Science and Technology Facilities Council of the United Kingdom ; Science and Technology Facilities Council of the United Kingdom |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/87751]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Li, Di |
| 作者单位 | 1.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Max Planck Inst Extraterr Phys, Ctr Astrochem Studies, D-85748 Garching, Germany 4.Munich Univ, Astrophys Dept, D-81679 Munich, Germany 5.Univ KwaZulu Natal, NAOC UKZN Computat Astrophys Ctr, ZA-4000 Durban, South Africa |
| 推荐引用方式 GB/T 7714 | Jiao, Sihan,Lin, Yuxin,Shui, Xiangyu,et al. J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2022,65(9):19. |
| APA | Jiao, Sihan,Lin, Yuxin,Shui, Xiangyu,Wu, Jingwen,Ren, Zhiyuan,&Li, Di.(2022).J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,65(9),19. |
| MLA | Jiao, Sihan,et al."J-comb: An image fusion algorithm to combine observations covering different spatial frequency ranges".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 65.9(2022):19. |
入库方式： OAI收割
来源：国家天文台
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