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Table of Links
2. Methods
2.1. Modeling Panspermia and Terraformation
2.2. Identifying the Presence of Terraformed Planets and 2.3. Software and Availability
3. Results
3.1. Panspermia can increase the correlation between planets’ compositions and positions
3.2. Likely terraformed planets can be identified from clustering
5. Acknowledgements and References
APPENDIX
5. ACKNOWLEDGEMENTS
The authors would like to thank Estelle Janin and Cole Mathis for encouraging and productive conversations, and for feedback on the manuscript.
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:::info Authors:
(1) Harrison B. Smith, Earth-Life Science Institute, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo, Japan, and Blue Marble Space Institute of Science, Seattle, Washington, USA (hbs@elsi.jp);
(2) Lana Sinapayen, Sony Computer Science Laboratories, Kyoto, Japan and National Institute for Basic Biology, Okazaki, Japan (lana.sinapayen@gmail.com).
:::
:::info This paper is available on arxiv under CC BY-NC-ND 4.0 Deed license.
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This content originally appeared on HackerNoon and was authored by Astrobiology
Astrobiology | Sciencx (2024-08-16T18:00:15+00:00) A Biosignature Based on Modeling Panspermia and Terraformation: References. Retrieved from https://www.scien.cx/2024/08/16/a-biosignature-based-on-modeling-panspermia-and-terraformation-references/
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