The presence and mass of nearby massive halos predict galaxy quenching
Abstract/Contents
- Abstract
- We present a novel method for populating galaxy specific star formation rates (sSFR). Galaxy models with assembly bias reproduce color-dependent clustering. Typically, merger trees are used for keeping track of color, but they are both computationally expensive and sensitive to resolution. Using machine learning, we compare the effectiveness of different local density proxies in predicting sSFR. We apply the method to a variety of catalogs with different galaxy formation models. To verify the predicted colors, we look at a number of halo statistics which are assembly bias influenced. We find that presence (mass of and distance to) of nearby massive halos is the most effective density proxy. In particular, we examine RHill which has been shown to relate to halo formation histories. Because the method relies on halo properties, it is particularly useful for populating color in low-resolution simulations.
Description
| Type of resource | text |
|---|---|
| Date created | June 7, 2016 |
Creators/Contributors
| Author | Su, Vincent |
|---|---|
| Primary advisor | Wechsler, Risa |
| Advisor | Burchat, Patricia |
| Degree granting institution | Stanford University, Department of Physics |
Subjects
| Subject | galaxy formation |
|---|---|
| Subject | structure |
| Subject | cosmology |
| Subject | statistics |
| Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Su, Vincent. (2016). The presence and mass of nearby massive halos predict galaxy quenching. Stanford Digital Repository. Available at: http://purl.stanford.edu/fv441km5647
Collection
Undergraduate Theses, Department of Physics
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- Contact
- vipasu@stanford.edu
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