Complex Organic Molecules in Protostars with ALMA Spectral Surveys (COMPASS): VI. Discovery of a class I methanol maser transition and its association with acetaldehyde
指標
詳細資料
- 題名
- Complex Organic Molecules in Protostars with ALMA Spectral Surveys (COMPASS)
- 研究創作者-僅顯示姓名
- Jae-Hong JeongJeong-Eun LeeJes K. JørgensenAudrey CoutensMaria N. DrozdovskayaAdele L. PlunkettArnaud BellocheSébastien MaretHyeong-Sik YunFernando Cruz-Sáenz de MieraDaniel HarsonoMerel L. R. van ’t HoffChul-Hwan KimÁgnes KóspálBrett A. McGuirePooneh NazariSilvia SpezzanoYao-Lun YangShaoshan Zeng
- 出版者
- EDP SCIENCES S A; LES ULIS CEDEX A
- 總頁數
- 17
- 學術資源類型
- 期刊文章
- 出版日期
- 10/2026
- 出版資訊
- Astronomy and astrophysics (Berlin), 卷.714, 頁.A54
- 語言
- 英語
- 補助款備註
This work is based on the following ALMA data: ADS/JAO.ALMA#2022.1.00316.L. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada), NSTC and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO, and NAOJ. The project leading to this publication has received support from ORP, that is funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101004719 [ORP]. JEL, JHJ, HSY, and CHK were supported by the NRF grant funded by the Korean government (MSIT) (grant numbers RS-2024-00416859 and RS-2026-25490557). JHJ was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant number RS-2025-25402622). AC and FCSM received financial support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant "Chemtrip", grant agreement No 949278). SM acknowledges support from the Thematic Action "Physique et Chimie du Milieu Interstellaire" (PCMI) of INSU Programme National "Astro", with contributions from CNRS Physique & CNRS Chimie, CEA, and CNES. DH is supported by a Center for Informatics and Computation in Astronomy (CICA) grant and grant number 110J0353I9 from the Ministry of Education of Taiwan. DH also acknowledges support from the National Science and Technology Council, Taiwan (Grant NSTC111-2112-M-007-014-MY3, NSTC113-2639-M-A49-002-ASP, and NSTC113-2112-M-007-027). AK was supported by the NKFIH NKKP grant ADVANCED 149943 and the NKFIH excellence grant TKP2021-NKTA-64. Project no.149943 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the NKKP ADVANCED funding scheme. This publication is based upon work from COST Action PLANETS CA22133, supported by COST (European Cooperation in Science and Technology). PN acknowledges support from the ESO and IAU Gruber Foundation Fellowship programs. SS acknowledges the support of the Max Planck Society. Y.-L.Y. acknowledges support from Grant-in-Aid from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (25H00676). Also, the project was supported by RIKEN Incentive Research Project (Emergence of pre-biotic extraterrestrial world: Using machine-learning techniques to uncover the link of organic matter at the dawn of planetary systems). SZ thanks RIKEN Special Postdoctoral Researcher Program (Fellowships) for financial support. Facility: ALMA. Software: Numpy (Harris et al. 2020), Scipy (Virtanen et al. 2020), Astropy (Astropy Collaboration 2013, 2018, 2022), Pandas (McKinney 2010), Matplotlib (Hunter 2007), XCLASS (Moller et al. 2017).