University of Groningen
Physical drivers of the cosmic star formation history
Pearson, William James
DOI:
10.33612/diss.101445849
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Publication date: 2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Pearson, W. J. (2019). Physical drivers of the cosmic star formation history. University of Groningen. https://doi.org/10.33612/diss.101445849
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Propositions
accompanying the dissertation
Physical Drivers of the Cosmic Star Formation
History
1. Extracting information from lower resolution and blended imag-ing data is improved when coupled with multi-wavelength obser-vations of higher resolution (Chapter 2).
2. The slope of the galaxy main sequence, the link between high mass and low mass galaxies, evolves with redshift (Chapter 3).
3. The presence of a turnover in the galaxy main sequence is a se-lection effect, with a turnover appearing with more generous def-initions of star forming galaxies (Chapter 3).
4. Simulated observations can be used to speed up the classification of objects in real observations by removing the reliance on humans (Chapter 4).
5. Galaxy mergers have little effect on the star formation rates of the colliding galaxies over the majority of the merger period but can cause large bursts on shorter timescales (Chapter 5).
6. Machine learning is the future of galaxy classification in the era of large surveys (Chapters 4 and 5).
7. The heated discussions surrounding the term ‘main sequence of star forming galaxies’ are a distraction from the science it encom-passes.
8. The term ‘Artificial Intelligence’ is at best misleading and at worst a boundary for entry.
9. The creation of boundaries suppresses the exchange of ideas and slows progression. The removal of boundaries fosters better col-laboration and understanding.
