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Nils Schöneberg

Fraunhofer-Schwarzschild Research Fellow at LMU Munich

Currently (as of June 2025) I am a postgraduate researcher at the USM (Universitätssternenwarte) of the LMU Munich specialized in deriving bounds from combinations of various probes in order to constrain the current cosmological standard model and extensions thereof, especially in the context of the Hubble and S8 tensions. Before that, I have been working as a post-doc in the group of Licia Verde at the ICCUB in Barcleona (2021-2024), and before that in the group of Julien Lesgourgues at the RWTH Aachen University as a PhD student. My doctoral thesis titled "Anomalies in cosmological data and probes of the dark sector" has been released in 2021.

My research is structured along four main topics, all of which aid in the underlying goal of constraining the standard model and its extensions:

- Independent and deeper investigations of the cosmological tensions

- Ranking, comparing, and testing models of Dark Matter/Dark Energy

- Using the thermal history as a cosmological probe

- Numerical optimization of the underlying codes

Of course I am always happy to add more topics to this list. If you have a proposal, don't hesitate to contact me.

More details for each of these topics can be found below.

One of the most pressing issues for modern cosmology is the Hubble tension between the measurement of the Hubble parameter based on the local distance ladder using Cepheids and the inference using the CMB measured from Planck in the context of the ΛCDM cosmological model. While there are a lot of alternative measurements as we have explicitly pointed out in a recent review for the ARAA and as I discussed in my talks , extensive cross-checks are still essential. For this purpose, I have investigated constraints from a combination of Baryonic Acoustic Oscillations (BAO) and Big Bang Nucleosynthesis (BBN) that provide alternative constraints to H0 than those from the CMB, in my first, second, and third paper on this topic. In particular, in these works we independently confirmed and extended previous work using our own updated BAO and BBN likelihoods, an approach that has been adopted by the DESI collaboration, for example.

Beyond this, I have worked on the promising Wess Zumino Dark radiation model in my first, second, third, and fourth paper. I have also worked on recombination solutions to the Hubble tension, for example here, here and here, predicting also how measurable the different solutions will be with future data here.

In my future research I would like to tackle this tension further (through more robust and model-independent investigations), as well as the S8 tension in a more model-independent way.

The nature of dark matter is currently one of the biggest unsolved puzzles of modern particle physics and cosmology. Whereas we are confident about certain properties of dark matter (clustering strength, lack of very strong interactions, current abundance), there are other properties which are almost unconstrained. This can be both a great opportunity for creative model building to reconcile disparaging measurements but also a stifling lack of clear direction in the vast model space. As such, my research focuses on models of dark matter and dark radiation which are phenomenologically and theoretically well motivated and at the same time remain falsifiable within the next decades. In my current research I have investigated cannibalistic dark matter, multi-interacting dark matter, Wess Zumino Dark radiation, the Bekenstein model, the Runaway dilaton model, the Tachyon model and the connection between cosmology and string theory more generally in this paper. While these individual investigations are certainly necessary and provide deeper understanding of the individual models, a unified approach of investigation is rather crucial. This is what the widely known H0 olympics paper is about.

In my future research I would like to further qualify the most important phenomenological aspects of different dark matter models that allow them to ease existing tensions and how to constrain these in a model-independent approach.

The evolution of the thermal state of the universe throughout cosmic history is one of the most important pillars of modern cosmology. Understanding it is crucial for many different probes from BBN over the CMB to the Lyman-α forest. In my research, I have worked on the question of how a future detection of Spectral Distortions of the CMB could aid in constraining the ΛCDM cosmological model and exotic energy injections by implementing a consistent treatment of energy injection and the numerical evolution of the thermal bath temperature within the CLASS code, alongside the implementation of a spectral distortion module and a python likelihood including astrophysical foregrounds together with my collaborators. I have also worked on the use of the Lyman-α forest as a valuable cosmological probe for the content of the universe, putting tight bounds on neutrinos, thermal warm dark matter, and interacting dark matter in my first and second paper using the Lyman-α forest, followed by my current work for DESI on that topic, with the the first DESI paper in this direction already published.

While the previous aspects have focused on specific models and measurements to investigate, this aspect is more focused on how to investigate these. With the advent of increasingly large data sets derived from cosmological experiments and the multitude of probes to be considered, the importance of fast and accurate calculations of cosmological observables of all kinds cannot be understated. Here, my research has branched across several different ingredients. In detail, I have implemented an alternative way of calculating angular power spectra beyond the traditional line-of-sight approach (see here), which allows for a speedup of the computation of these spectra by several orders of magnitude. This method has also recently been submitted to the N5K challange of the DESC for LSST. Furthermore, I am collaborating on a project (titled CosmicNet) to use machine learning predictions to replace lengthy calculations of differential equations based on analytical understanding of the functions to be predicted (first and second paper). Finally, I am also working on a project involving Gaussian Processes for fast likelihood emulation, see my first and second paper on this topic. Generally, I am always happy to dive into the code and see what improvements I can bring, being a regular contributor to several codes.

The following files are being updated from time to time (see individual files for date of last update)

My Curriculum Vitae

A list of my publications

The links in this section are up-to-date as of July 2023

My teaching has so far mostly focussed on supervising and co-supervising individual students (see my CV for details on this). Additionally, I have frequently given talks and lectures about the Hubble tension and the CLASS code.

You can find a recent lecture on CLASS here and one on MontePython here.

See also my lecture from Banyuls-sur-mer in 2022 on CLASS: 1st level and 2nd level

I have been very involved in the TTK Periscope of the RWTH Aachen, mostly together with the host Deanna C. Hooper. I often acted as a guest, co-host, and at times as the main host. The periscope discusses various topics of astrophysics and is mainly a question and answer session, with specific topics explicitly discussed at times of special interest. See Deanna's current webpage for her ongoing outreach projects.

See also the fun "Dark Master" app that a student A. Struocken developed under my co-supervision, where one controls primordial particles throughout cosmic history and tries to avoid other particles of larger sizes.

Beyond this, I have an old Youtube channel that I hope to revive soon (contact me for more details).

This section is about a series of codes to which I have contributed in a major way. It is up-to-date as of June 2025.

CLASS (Cosmic Linear Anisotropy Solving System) is a C code that aims at solving the Einstein-Boltzmann equations in cosmology at the background level and at first order in perturbation theory. I have been a main developer since Dec 2017, and have implemented many of its features, the most notable ones can be found in the main release history on the CLASS webpage. Information about installation can be found here and the corresponding github page (for the public version) can be found here.

MontePython is a python code that aims at providing Bayesian inference (through in-built Metropolis-Hasting sampling, and connections to nested samplers) and a corresponding visualization. It is heavily interfaced with CLASS. I have been a developer since Sept 2018, and have implemented some notable ease-of-use features. Information about installation and the code can be found here.

LiquidCosmo is a python code that aims at making work with MCMC chains much easier, and is heavily interfaced with GetDist. I am the sole and main developer of this code, which is not yet publicly released. Contact me for more information!

Links

inspire
orcid

Contact

nils.science@gmail.com
Scheinerstraße 1
D-81679 München GERMANY