2017 Fiscal Year Research-status Report
Can planetesimal accretion break planet resonance?
| Project/Area Number |
16K17654
|
|---|
| Research Institution | Japan Aerospace EXploration Agency |
|---|
Principal Investigator |
タスカー エリザベス 国立研究開発法人宇宙航空研究開発機構, 宇宙科学研究所, 准教授 (40620373)
|
|---|
| Project Period (FY) |
2016-04-01 – 2020-03-31
|
| Keywords | exoplanet / planet formation / astrophysics / neural network |
|---|
| Outline of Annual Research Achievements |
(Most exciting project) A neural network was developed to search for trends between the orbital and physical properties of known planets. The network was able to impute the mass value for planets without that measurement (most of them) with an accuracy greater than estimating the mass from the known distribution of plants. This work is currently being written up for submission to a journal and has been presented by the PI at 5 domestic meetings and 6 international meetings. In addition, five referred papers have been published focussing on star formation and a popular science book published in September.
|
| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
A similar project to the original proposal was published by another research group. This project used the stellar evolution code MESA to develop a full hydrodynamical model, making our analytical results less valuable. We are discussing if we can still publish our original result. However, our exploration of data trends have produced interesting results by using a neural network. This is close to being published.
|
| Strategy for Future Research Activity |
We now want to focus on using the neural network as a tool to statistically explore the exoplanet archive. This is increasing in importance as the launch of the planet-hunting telescope TESS this month is expected to find many more thousands of exoplanet. Each individual planet has only minimal information, so tools for statistical analysis of the data set are desperately needed. After this paper, we are working on developing a different type of network that will identify different classes of exoplanet. This can be used with planet formation theories to understand how planets evolve from their birth location.
|
| Causes of Carryover |
Travel: I am presenting at "Exoplanets II" in Cambridge in 07/2018. My student and I also plan to visit our international collaborator in planet formation, James Wadsley at McMaster University in Canada, likely 11/2018. Items: Plan to buy an updated graphics card for my computer. A GPU is superior for neural networks.
|
| Remarks |
News media articles based on aspects of my presentations.
|
Research Products
(21 results)
