Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.07914 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909160207024128 |
|---|---|
| author | Wang, Kang Perrott, Yvette Arnold, Richard Huijser, David |
| author_facet | Wang, Kang Perrott, Yvette Arnold, Richard Huijser, David |
| contents | This study focuses on modelling galaxy cluster gas profiles via a semi-parametric nodal approach. While traditional methods like the generalised Navarro-Frenk-White (gNFW) often encounter parameter degeneracy, our flexible node-based method precisely defines a cluster gas pressure profile. Using Planck space telescope data from the Coma region, our model, focused on the pressure-radius relationship, showcases enhanced flexibility over the gNFW. Bayesian analyses indicated an optimal five-node structure for the Coma cluster pressure profile. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_07914 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A Semi-Parametric Approach to Fitting Gas Pressure Profiles of Galaxy Clusters Wang, Kang Perrott, Yvette Arnold, Richard Huijser, David Cosmology and Nongalactic Astrophysics This study focuses on modelling galaxy cluster gas profiles via a semi-parametric nodal approach. While traditional methods like the generalised Navarro-Frenk-White (gNFW) often encounter parameter degeneracy, our flexible node-based method precisely defines a cluster gas pressure profile. Using Planck space telescope data from the Coma region, our model, focused on the pressure-radius relationship, showcases enhanced flexibility over the gNFW. Bayesian analyses indicated an optimal five-node structure for the Coma cluster pressure profile. |
| title | A Semi-Parametric Approach to Fitting Gas Pressure Profiles of Galaxy Clusters |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2310.07914 |