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| Indexado |
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| DOI | 10.1093/MNRAS/STAC3139 | ||||
| Año | 2023 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Supernovae and their remnants provide energetic feedback to the ambient interstellar medium (ISM), which is often distributed in multiple gas phases. Among them, warm molecular hydrogen (H-2) often dominates the cooling of the shocked molecular ISM, which has been observed with the H-2 emission lines at near-infrared wavelengths. Such studies, however, were either limited in narrow filter imaging or sparsely sampled mid-infrared spectroscopic observations with relatively poor angular resolutions. Here we present near-infrared (H and K bands) spectroscopic mosaic observations towards the A, B, C, and G regions of the supernova remnant (SNR) IC 443, with the K-band Multi-Object Spectrograph (KMOS) onboard the Very Large Telescope (VLT). We detected 20 rotational-vibrational transitions of H-2, one H line (Br gamma), and two [Fe ii] lines, which dominate broad-band images at both H and K bands. The spatial distribution of H-2 lines at all regions is clumpy on scales from similar to 0.1 down to similar to 0.008 pc. The fitted excitation temperature of H-2 is between 1500 and 2500 K, indicating warm shocked gas in these regions. The multigas phase comparison shows stratified shock structures in all regions, which explains the coexistence of multiple types of shocks in the same regions. Lastly, we verify the candidates of young stellar objects previously identified in these regions with our spectroscopic data, and find none of them are associated with young stars. This sets challenges to the previously proposed scenario of triggered star formation by SNR shocks in IC 443.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Deng, Yunwei | - |
Nanjing Univ - China
Nanjing University - China |
| 2 | Zhang, Zhi-Yu | - |
Nanjing Univ - China
Nanjing University - China |
| 3 | Zhou, Ping | - |
Nanjing Univ - China
Nanjing University - China |
| 4 | Wang, Jun-feng | Hombre |
Guangxi Univ - China
Guangxi University - China |
| 5 | Fang, Min | - |
CASSACA - China
Purple Mountain Observatory Chinese Academy of Sciences - China |
| 6 | Lin, Ling-Rui | - |
Nanjing Univ - China
Nanjing University - China |
| 7 | Bian, Fu-Yan | - |
ESO - Chile
European Southern Observatory Santiago - Chile |
| 8 | Chen, Zhiwei | - |
Purple Mountain Observatory Chinese Academy of Sciences - China
|
| 9 | Shi, Yong | Hombre |
Nanjing Univ - China
Nanjing University - China |
| 10 | Chen, Guoyin | - |
Nanjing Univ - China
Nanjing University - China |
| 11 | Li, Hui | - |
Columbia Univ - Estados Unidos
Columbia University - Estados Unidos |
| Fuente |
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| National Natural Science Foundation of China |
| National Natural Science Foundation of China (NSFC) |
| NASA |
| National Aeronautics and Space Administration |
| Space Telescope Science Institute |
| European School of Oncology |
| European Southern Observatory |
| NASA through the NASA Hubble Fellowship grant - Space Telescope Science Institute |
| China Manned Space Project |
| Program for Innovative Talents, Entrepreneur in Jiangsu |
| Agradecimiento |
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| This work is based on observations collected at the European Southern Observatory under ESO programme 0104.C-0924(A). We thank Dr Paola Popesso and colleagues from ESO Operation Helpdesk for their kind help and advice. YD is grateful to Yichen Sun and Haochang Jiang for their useful discussions. Z-YZ and YD acknowledge the support of the National Natural Science Foundation of China (NSFC) under grants no. 12041305, 12173016. Z-YZ and YD acknowledge the Program for Innovative Talents, Entrepreneur in Jiangsu. Z-YZ and YD acknowledge the science research grants from the China Manned Space Project with no. CMS-CSST-2021-A08, no. CMS-CSST-2021-A07. HL was supported by NASA through the NASA Hubble Fellowship grant HST-HF2-51438.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. We use python packages NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), and astropy (Astropy Collaboration et al. 2013, 2018) to analyse the data cubes and use matplotlib (Hunter 2007) to visualization. To remove the stellar continuum, we use the widely used astropy package photutils to find and mask the stars. |
| This work is based on observations collected at the European Southern Observatory under ESO programme 0104.C-0924(A). We thank Dr Paola Popesso and colleagues from ESO Operation Helpdesk for their kind help and advice. YD is grateful to Yichen Sun and Haochang Jiang for their useful discussions. Z-YZ and YD acknowledge the support of the National Natural Science Foundation of China (NSFC) under grants no. 12041305, 12173016. Z-YZ and YD acknowledge the Program for Innovative Talents, Entrepreneur in Jiangsu. Z-YZ and YD acknowledge the science research grants from the China Manned Space Project with no. CMS-CSST-2021-A08, no. CMS-CSST-2021-A07. HL was supported by NASA through the NASA Hubble Fellowship grant HST-HF2-51438.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. We use PYTHON packages NUMPY (Harris et al. 2020), SCIPY (Virtanen et al. 2020), and ASTROPY (Astropy Collaboration et al. 2013, 2018) to analyse the data cubes and use MATPLOTLIB (Hunter 2007) to visualization. To remove the stellar continuum, we use the widely used ASTROPY package PHOTUTILS to find and mask the stars. |