“HII region”的版本间差异
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无编辑摘要 |
无编辑摘要 |
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(未显示同一用户的8个中间版本) | |||
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*PHANGS-MUSE survey |
*PHANGS-MUSE survey |
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*PHANGS-JWST |
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:4个星系:Two galaxies (NGC 1365 and NGC 7496) host active galactic nuclei (AGNs) and strong bars. NGC 628 is a prototypical grand-design spiral, while IC 5332 shows a flocculent spiral morphology. Based on MUSE Hα emission line maps, a catalog of ∼ 30, 000 nebulae has been constructed. The nebulae were selected using HIIphot. |
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*采用 galaxy mixture density network (GMDN,一种[[高斯混合模型]])的方法来推断星系中不可分辨HII区的发射线 [https://github.com/Sheng-Qi-Yang/GMDN] [https://arxiv.org/pdf/2409.03997] |
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:arXiv:2212.09159: 利用JWST/MIRI images in the F770W, F1000W and F1130W来计算q(PAH)=(F770+F1130)/F2100来计算PAH在尘埃中的比例,F2100是用来表示非常小的尘埃颗粒的发射,从而代表总尘埃。SIII/SII表征电离参数,发现q(PAH)最主要和电离参数相关,而和金属丰度关系不大 |
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* HII区和分子云区域的转换非常的sharp [https://arxiv.org/pdf/2307.09513.pdf] |
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*利用IFS数据来搜寻HII区的软件 pyHIIexplorer [https://github.com/cespinosa/pyHIIexplorerV2] arXiv:2204.04252 |
*利用IFS数据来搜寻HII区的软件 pyHIIexplorer [https://github.com/cespinosa/pyHIIexplorerV2] arXiv:2204.04252 |
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*利用发射线来算金属丰度 |
*利用发射线来算金属丰度 |
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:*[[HII-CHI-MISTRY]] |
:*[[HII-CHI-MISTRY]] |
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:*GAME (机器学习的方法)https://arxiv.org/abs/1803.10236 |
:*GAME (机器学习的方法)https://arxiv.org/abs/1803.10236 |
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:* nebulabayes |
:* nebulabayes: [https://pypi.org/project/NebulaBayes/] |
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:* HIIlines [https://github.com/Sheng-Qi-Yang/HIILines] |
2024年9月22日 (日) 09:30的最新版本
- PHANGS-MUSE survey
- PHANGS-JWST
- 4个星系:Two galaxies (NGC 1365 and NGC 7496) host active galactic nuclei (AGNs) and strong bars. NGC 628 is a prototypical grand-design spiral, while IC 5332 shows a flocculent spiral morphology. Based on MUSE Hα emission line maps, a catalog of ∼ 30, 000 nebulae has been constructed. The nebulae were selected using HIIphot.
- arXiv:2212.09159: 利用JWST/MIRI images in the F770W, F1000W and F1130W来计算q(PAH)=(F770+F1130)/F2100来计算PAH在尘埃中的比例,F2100是用来表示非常小的尘埃颗粒的发射,从而代表总尘埃。SIII/SII表征电离参数,发现q(PAH)最主要和电离参数相关,而和金属丰度关系不大
- HII区和分子云区域的转换非常的sharp [3]
- 利用IFS数据来搜寻HII区的软件 pyHIIexplorer [4] arXiv:2204.04252
- 利用发射线来算金属丰度
- HII-CHI-MISTRY
- GAME (机器学习的方法)https://arxiv.org/abs/1803.10236
- nebulabayes: [5]
- HIIlines [6]