Icy Origins of Organic Molecules Unveiled by JWST
| Project/Area Number |
22K20389
|
|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
|
| Allocation Type | Multi-year Fund |
|---|
| Review Section |
0204:Astronomy, earth and planetary science, and related fields
|
|---|
| Research Institution | Institute of Physical and Chemical Research |
|---|
Principal Investigator |
楊 燿綸 国立研究開発法人理化学研究所, 開拓研究本部, 研究員 (60961688)
|
|---|
| Project Period (FY) |
2022-08-31 – 2024-03-31
|
| Project Status |
Granted (Fiscal Year 2022)
|
| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2023: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | interstellar ice / astrochemistry / low-mass protostars / infrared spectrscopy / Astrochemistry / Ice / Infrared Astronomy |
|---|
| Outline of Research at the Start |
This research program will unveil formation pathways of complex organic molecules using the data from the JWST by measuring the ice chemical abundance and modeling. The outcome of this program would be the frontier of ice chemistry, which will complement the gas chemistry revealed by ALMA.
|
| Outline of Annual Research Achievements |
The primary goals of this research program is to measure the ice abundance in four young protostars and test chemical models with radiative transfer calculations, using JWST data. I have been leading the collaboration to develop the method of data reduction and measuring ice column density from its absorption feature. We published the first identification of ice features as well as jet and outflow characterization on the Astrophysical Journal Letter (Yang et al. 2022b). In this article, we presented the first JWST spectrum of a young protostar, identifying both commonly known ice feature as well as the features that could be due to organic molecules, such as ethanol and acetaldehyde. We also demonstrate the unique capability of JWST spectroscopic data on not only ice measurements but also characterizing outflows and jets in young protostars, where such observations were challenging to perform due to high extinction. Moreover, there are a number of projects underway in this project. The detailed ice analysis is led by Dr. J. Kim (KASI) and Mr. C.-H. Kim (SNU) with myself as the main mentor. I also started collaborations with Dr. Salyk (Vasser) and Dr. Okoda (RIKEN) to expand the breath of this research program.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The first result of this program has been published on the Astrophysical Journal Letter in 2022 (Yang et al. 2022b). The last observations of the JWST program, on which this research program is based, have been executed on May 13, 2023; therefore, we have all the data required to proceed with the proposed analysis. There are six ongoing projects tied to this program with myself as the primary or secondary contributor. The main obstacles are robust measurements of ice optical depth, which directly translates to its column density. I recently invited Dr. Rocha (Leiden) to join the collaboration, who is an expert on such measurements. Thus, I am confident that the ice analysis would proceed as planned.
|
| Strategy for Future Research Activity |
I will work with the ice experts in the collaboration to proceed with ice analysis of the four protostars that we have JWST spectroscopic data. The main ice analysis is under development and is on track for manuscript submission before the end of this year. In additional to the papers focusing on individual sources to demonstrate the methodology, I will lead an analysis of chemistry that include both ice and gas measurements, which is the ultimate goal of this program. Beside the ice analysis, the projects led by Dr. Okoda and Dr. Salyk are also on track to submitted for publication by the end of this year. The radiative transfer modeling and chemical modeling are also underway, leading by Prof. Bergner (Berkeley) and Dr. Jin (Goddard), respectively.
|
Report
(1 results)
Research Products
(12 results)
