I am a postdoc within the Institute for Computational Cosmology (ICC) and the Centre for Extragalactic Astronomy (CEA) at Durham University since April 2024. Previously, I was a postdoc at the Cosmoparticle Initiative at University College London where I also completed my PhD in cosmology.
My research focuses on understanding dark matter as well as its effect on the formation of large-scale and small-scale structure. I am interested in modelling the observable effects such as strong gravitational lensing, weak gravitational lensing, and galaxy clustering. To this end, I develop simulations of LSS, galaxy clusters, galaxies as well as simulation-based inference pipelines with future galaxy surveys in mind, together with other various projects.
Understanding the formation and evolution of structure at the largest scales allows us to determine how gravity and dark matter act on the cosmology of the Universe. Simultaneously, studying substucture formation at the scale of galaxies probes the nature of dark matter at small scales. Therefore, we can test Einstein's theory of general relativity as well as the theory of cold dark matter.
I am a member of the Euclid Consortium, where I work on modelling the aforementioned probes as they are observed by the ESA Euclid Space Telescope. I am also a member of the Kilo-Degree Survey (KiDS). Within KiDS, I work on testing the analytical covariance of the main cosmic shear, galaxy clustering and galaxy-galaxy lensing analyses; understanding magnification and implementing simulation-based inference.
You can find more information about my work and publications under the following links: arxiv, ads, ORCID, GitHub and ResearchGate.
You can find links and details about my work on my projects page.
For miscellaneous things, interesting resources and more, visit my blog page.
© Maximilian von Wietersheim-Kramsta 2024
Maximilian von Wietersheim-KramstaSeptember 10th, 2022
In science, it is equally important to divulge scientific discoveries as it is important to actually make those discoveries. In that spirit, I made a list of some of the best science communicators that I personally enjoy...
All posts are originally published on Blogger, and then republished here.
Maximilian von Wietersheim-KramstaThis is a code which I developed can run fast simulations of the full KiDS catalogue (or other Stage-III surveys) from any set of cosmological parameters, and then use these to inform a simulation-based inference with DELFI. The details of this method are available in Lin et al. 2022 and von Wietersheim-Kramsta et al. 2024.
This code efficiently and accurately creates large-scale structure simulations from lognormal random fields. I have been involved in the testing of this code as well as in the development of an intrinsic alignment module.
This code I developed allows to calibrate the magnification bias of a galaxy sample from simulations, regardless of the selection which has been applied to the sample. More details aboub the method can be found here in von Wietersheim et al. 2021.
Implemenation of Non-Limber integration into the KCAP-CosmoSIS framework. This module interfaces the C++ implentation of the Levin method from levinpower.
Small project which uses Bayesian inference to determine galaxy properties in COSMOS2015 using the prospector-alpha code.
Map of the entire observable Universe assembling (almost) all astronomical objects known to humankind: artificial satellites, planets, asteroids, stars, exoplanets, dark holes, galaxies, quasars, etc. This map is currently exhibited at the Data Observatory of the Data Science Institute at Imperial College London.
All solar system objects are computed using a ephemeris code such that all relative positions are accurate. All other objects come from large surveys (Gaia, DES, etc.).
Maximilian von Wietersheim-Kramsta