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University Observatory Munich


Faculty of Physics at the Ludwig-Maximilians-University

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Bachelor’s & Master’s thesis projects
at the University Observatory

Bachelor’s thesis topics of the Extragalactic Astronomy Group on machine learning, instrumental and observational (Wendelstein) projects, stars and planets, galaxies, gravitational lensing and cosmology can be found →here. Please also check out the master’s thesis projects, and let us know which would interest you, because they may in part be split and downgraded to fit into a bachelor’s thesis.
Master’s thesis topics of the Extragalactic Astronomy Group on machine learning, instrumental and observational (Wendelstein) projects, stars and planets, galaxies, gravitational lensing and cosmology can be found →here.

1. Instrumentation and observational projects

Project 1.1 (Master’s project): Modelling the “smeared” primary beam for MeerKAT interferometric on-the-fly (OTF) observations (K. Rozgonyi Kristof.Rozgonyi@physik.lmu.de, J. Mohr Joseph.Mohr@physik.lmu.de)
With the upcoming Square Kilometre Array (SKA) and its precursor telescopes, radio astronomy is undergoing a renaissance. New algorithms, data reduction methods and survey modes are actively developed to handle the EB-scale raw data streams produced and to utilise the full potential of these new instruments. As part of a large collaboration, our group at LMU is developing commensal line intensity mapping and interferometric imaging using scanning observations. Such interferometric scanning or on-the-fly (OTF) observations are increasing the survey speed by removing the settle-and-slew overhead while also enabling commensal single-dish intensity mapping, providing a dramatic improvement in data acquisition efficiency. However, the scanning motion of the antennae pointing relative to the delay centre introduces smearing effects that need to be corrected in the imaging process. In particular, the smearing of the primary beam (PB) response introduces flux-density errors in the interferometric images. This project aims to model the smeared PB by measuring the flux-density variation of thousands of sources detected in our pilot MeerKAT OTF observations. The developed PB models and software will be incorporated into our OTF imaging pipeline, which we will use to reduce 100+ hours of MeerKAT OTF data observed in the upcoming year by our collaboration.

2. Stars and planets

T. Preibisch (preibisch@usm.lmu.de)
Project 2.1 (Master’s project): Multi-wavelength observations of star formation regions (T. Preibisch preibisch@usm.lmu.de)
Students can carry out investigations as part of an ongoing project, e.g., correlation of object lists in different wavelengths ranges (from X-ray to the sub-mm regime).

3. Galaxies and AGN

Project 3.1 (Bachelor’s project): Dynamos in galaxies (H. Lesch lesch@usm.lmu.de)
All galaxies are magnetized. Where do galactic magnetic fields come from, how are they maintained and how are they structured? These are the questions we wish to answer. In this project we will develop a model for the amplification of galactic magnetic fields based on analytic calculations.
Project 3.2 (Bachelor’s project): Propagation of cosmic rays in the Galaxy (H. Lesch lesch@usm.lmu.de)
Cosmic rays represent a small but high-pressure part of the interstellar medium. Through their pressure on the magnetic fields, cosmic rays contribute considerably to the galactic dynamo. In this project we will analyse the properties of Galactic cosmic rays and their impact on gamma-ray emission.
Project 3.3 (Master’s project): Studies of the impact of environment on galaxy and AGN evolution (M. Klein Matthias.Klein@physik.lmu.de, J. Mohr Joseph.Mohr@physik.lmu.de)
Astronomers noticed more than 100 years ago that the galaxy populations within dense galaxy clusters are different from those in the surrounding low-density field, but the underlying reasons remain unclear. Hierarchical structure formation leads dense clusters to form rather late in the Universe and to continue the accretion of surrounding material, including star forming spiral galaxies where through a range of processes they are transformed into ellipticals or S0s. Studies over the past decades have clarified the range of physical processes that are likely contributing to this transformation, and these include ram pressure stripping, mean field tidal stripping and galaxy merging, among others. We are using a new Sunyaev-Zel’dovich effect selected sample of galaxy clusters from SPT that extends to redshift z ~ 2 together with data from the DES, Spitzer, and Herschel to study these galaxy population transitions as a function of cosmic time. The goal of this project is to use the multi-band optical and IR photometry to identify cluster galaxies and study the transition in color and star formation rates as a function of radius from the cluster center as well as a function of cosmic time and cluster mass. Our dataset is uniquely suited for this study, because we have a well understood sample of clusters extending over a broad redshift range and a uniform photometric imaging dataset in the optical and IR over large areas of the sky.
Project 3.4 (Master’s project): Exploring the dark side of galaxy formation and evolution using radio continuum data (J. Mohr Joseph.Mohr@physik.lmu.de)
Among the many facets under investigation of the galaxy formation and evolution puzzle, two old and still unanswered questions remain at the core of our incomplete picture:
  1. How do galaxies grow their stellar mass over cosmic time?

    Answering this question has proven difficult mainly because of the uncertainties in estimating the on-going star formation for large, representative galaxy samples. The easily accessible ultra-violet (UV) restframe emission, in principle a direct probe of the young short-lived massive stellar populations, is in fact measuring only the small fraction of that emission that has not been absorbed by the interstellar dust. It thus needs to be corrected by factors that, depending on the intrinsic galaxy properties, can vary by orders of magnitude.

  2. Why does star formation cease at a certain point during the galaxy life?

    In the last decade many studies have agreed in assigning a relevant role to nuclear activity (AGNs, due to massive black hole growth) in affecting the galaxy star formation histories (SFHs). In particular, once a major burst of star formation has eventually exhausted the gas inside the galaxy immediately available for star formation, the so-called “radio-mode feedback” is often invoked as preventing the gas in the outer galaxy halo from cooling and starting star formation again.

    Deep radio surveys, conducted in association with multi-wavelength observations, allow us to probe at the same time dust-unbiased star formation and nuclear activity, and hence have become a fundamental tool in the last decade for studying galaxy evolution. This master project will focus on already available JVLA radio continuum data in the deepest extra galactic fields in order to obtain a dust-unbiased view of star formation over cosmic time and a first-order estimate of radio-AGN feedback to be compared to theoretical model expectations at different redshifts and halo masses.

Project 3.5 (Master’s project): Witnessing the last burst of star formation in a galaxy (K. George Koshy.George@physik.lmu.de)
The observed bimodal distribution of local Universe galaxies in star formation properties (from optical color-magnitude and stellar mass-star formation rate diagrams) is due to the process of star formation quenching, making once star forming spiral galaxies to non/little star forming elliptical/S0 galaxies. There are many possible processes responsible for this observed star formation quenching, among which ram-pressure stripping is the dominant mechanism in dense galaxy cluster environment. The hot (107 . . . 108 K) and dense (ne ~ 10−4 . . . 10−2 cm−3) intracluster medium can strip cold gas from the spiral galaxy disk, which eventually truncates star formation as the galaxy moves though the cluster environment. We have acquired ultraviolet data for a sample of galaxies undergoing ram-pressure stripping (with tentacles of star formation along the stripped tails with the galaxy disk resembling a jellyfish) where the ongoing truncation of star formation can be directly studied comparing with emission line diagnostic maps made from MUSE IFU data. This project involves studying the star formation progression in a galaxy undergoing ram-pressure stripping with indications of truncation along the galaxy disk. There are opportunities to collaborate with a larger team involved in multiwavelength analysis of jellyfish galaxies.
Project 3.6 (Bachelor’s project): Single tidal disruption events around Supermassive Black Holes (literature-based) (P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
Stars passing too near the central supermassive black holes of galaxies can be tidally disrupted, causing a brightening of the centers, followed by a declining light curve with characteristic shapes and time scales measurable at different wavelenghts, from X-rays to UV and the optical bands, depending on masses of the BHs.
Project 3.7 (Bachelor’s project): Recurrent tidal events around Supermassive Black Holes (literature-based) (P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
A subclass of tidal events around Supermassive Black Holes are recurrent: the brightening of the measured light curve repeats on quasi-periodic time scales. This happens every time a star orbiting a SMBH hits its accretion disk.
Project 3.8 (Bachelor’s project): High-redshift galaxies, Little Red Dots and Black Holes (literature-based) (P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
Thanks to the James Webb Space Telescope 'primordial' galaxies can be detected up to very high redshifts. Some of them are identified as 'Little Red Dots', characterized by high stellar masses and possibly large amounts of dust, small sizes, V-shaped spectra. Their broad emission lines point to the presence of accreating supermassive black holes. They probe models of galaxy formation and evolution and play an important role in defining the epoch of reionization.
Project 3.9 (Master’s project): Diffuse Lyman-Alpha Emission in the Cosmic Web with VIRUS (Dr. Max Fabricius mxhf@mpe.mpg.de, P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
This project exploits the deepest VIRUS dataset currently in existence to search for and characterise diffuse Lyman-alpha emission in the high-redshift universe. VIRUS is an integral field unit (IFU) spectrograph — an instrument that simultaneously records a spectrum at every spatial position across an extended field of view — and the available data surpasses existing IFU surveys by orders of magnitude in areal coverage. The core science goals are the detection, characterisation, and statistical description of diffuse Lyman-alpha emission; the characterisation of individual Lyman-alpha emitting galaxies in the field; and comparison of the results with cosmological simulations and with existing and forthcoming IGM tomography datasets mapping the three-dimensional large-scale structure of the universe.
Project 3.10 (Master’s project): Secondary Nuclei and Recoiling Black Hole Candidates in Euclid Early-Type Galaxies (Dr. Max Fabricius mxhf@mpe.mpg.de, P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
This project uses the first systematic sample of secondary nuclei in early-type galaxies identified by the Euclid Space mission to investigate the physical nature and origin of these compact, off-centre sources. The core of the project is a photometric and structural characterisation of the sample, with the goal of distinguishing between formation scenarios such as minor mergers, stripped satellite cores, or gravitationally recoiling supermassive black holes. Depending on the results, the project may extend to spectroscopic follow-up observations to measure stellar kinematics and dynamical masses, placing the findings at the intersection of galaxy evolution, observational dynamics, and the electromagnetic signatures of massive black hole mergers.
Project 3.11 (Master’s project): Dynamical modeling of multiple stellar populations (Dr. Jens Thomas jthomas@mpe.mpg.de, P.D. Dr. Roberto Saglia saglia@mpe.mpg.de)
Dynamical modeling of stellar motions has played a crucial role in revealing that the outer regions of galaxies are dominated by dark matter. In addition, sophisticated orbit-based Schwarzschild models have shown that nearly every galaxy harbors a supermassive black hole at its center. Surprisingly, recent advances in dynamical modeling have uncovered a possible third source of unseen mass: the central regions of galaxies appear to contain more mass than expected if the stellar initial mass function (IMF) resembles that of the Milky Way. This excess mass may be the signature of extreme IMFs, potentially shaped by the intense conditions under which the first stars formed at high redshift. To investigate this possibility, we have developed powerful dynamical orbit -modeling tools capable of simultaneously analyzing multiple stellar populations. This project will apply these models to rich datasets from previous surveys — primarily focused on early-type galaxies — to test whether IMF variations can account for the excess central mass, or if the findings hint at new aspects of dark matter. We have also recently extended the Schwarzschild method to model disk galaxies with bars. Depending on the student's interests, the project could involve adapting our multi-population modeling framework — originally developed for early-type galaxies — to study disk galaxies. In comparison to early types, our knowledge of the IMF, dark matter distribution, and central black holes in disk galaxies is still quite limited.

4. Cosmology, large-scale structure, and gravitational lensing

Project 4.1 (Bachelor’s project): Distances to supernovae in various cosmological models (J. Weller weller@usm.lmu.de)
The student will derive the correlation between distance and red shift for different Friedmann Models. Boundary conditions to cosmological parameters will be derived by comparison with supernova data. These analyses are made with the aid of so-called Monte Carlo Markov chains. If there is enough time, the analysis can be extended to models with extra dimensions.
Project 4.2 (Master’s project): Comparing simulated and observed red-sequence clusters (K. Dolag dolag@usm.lmu.de)
The majority of galaxies in clusters are “red” galaxies (S0 or elliptical galaxies), i.e., galaxies with no ongoing star formation. This makes them form a “red sequence” in color-magnitude space. In multi-band photometric surveys (e.g., the Dark Energy Survey DES) one sucessfully identifies clusters of galaxies by their red-sequence galaxy population, and estimates the (photometric) redshifts for clusters using the colors of their red galaxies. The number of red galaxies of each cluster is used to define its “richness” (a quantity strongly related to the total mass of the cluster). For many purposes in cosmology one would like to relate the observationally identified “red sequence clusters” to clusters numerically simulated within the framework of structure formation. For example, one would like to know how cluster mass and cluster richness scales, what the scatter is, and how much dark matter is associated with individual red galaxies (as a function of the luminosity and position within the cluster). The goal of this project is to apply the observers’ cluster-finding technique to simulated clusters and to derive a catalog with cluster richness, their red-sequence member galaxies, and dark matter halo masses of individual member galaxies. These findings can then be compared to results from observations or can be used to predict the outcome of ongoing and future observations.
Project 4.3 (Master’s project): Mass calibration and cosmological study of X-ray and Sunyaev-Zel’dovich effect selected galaxy clusters using gravitational lensing (S. Bocquet Sebastian.Bocquet@physik.lmu.de, M. Klein Matthias.Klein@physik.lmu.de, J. Mohr Joseph.Mohr@physik.lmu.de)

One of the leading methods for studying the cosmic acceleration, measuring neutrino masses and directly measuring the growth rate of cosmic structures is through studies of the redshift and mass distribution of uniformly selected samples of galaxy clusters. A key element of these studies is constraining the masses of the galaxy clusters using information from weak gravitational lensing.

The goal of this project is to use the available weak gravitational lensing mass information from the Dark Energy Survey within samples of galaxy clusters selected from the South Pole Telescope Sunyaev-Zel’dovich effect survey or the RASS (and soon from eROSITA!) X-ray survey to study the cosmic acceleration, neutrino masses, and the growth rate of cosmic structures.

  • Understand the impact of surrounding large-scale structure and miscentering on the weak-lensing mass estimates of galaxy clusters. Application to real cluster sample with DES shear catalogs to constrain masses.
  • Understand the impact of contaminating impacts due to X-ray and radio AGN on the selection and cosmological analysis of galaxy cluster samples.
  • Measure correlations among cluster observables in the X-ray, SZE, and optical and study their impact on cosmological analyses.
Projects in the Astrophysics, Cosmology, and Artificial Intelligence Group (Daniel Grün et al.)
Projects in the Physical Cosmology Group (Jochen Weller et al.)
Projects in the Astrophysics, Cosmology, and Artificial Intelligence Group (Daniel Grün et al.)
Projects in the Physical Cosmology Group (Jochen Weller et al.)

5. Computational and theoretical astrophysics

A. Burkert (burkert@usm.lmu.de), B. Ercolano (ercolano@usm.lmu.de), T. Birnstiel (til.birnstiel@lmu.de), K. Dolag (dolag@usm.lmu.de)

Research in the Computational Astrophysics Group (CAST) ranges from the theoretical investigation of star and planet formation to studies of processes on cosmological scales. A variety of different, well-known numerical codes (such as Ramses, Gadget, Sauron, Gandalf, Mocassin, and others) are used. Primary investigations regard the formation, the structure, and the evolution of protoplanetary disks, the formation of planetary building blocks and planets, the relation between turbulence and phase transitions in the multiphase interstellar medium (ISM), energetic feedback processes, molecular cloud and star formation in galaxies, as well as cosmological structure and galaxy formation and the interplay between feedback processes, AGN, and galaxy evolution and their imprint on the intergalactic medium (IGM) or the intercluster medium (ICM). Thus, our group studies astrophysical processes on length scales covering more than 14 orders of magnitude, from gigaparsec scales of cosmological structures all the way down to sub-AU scales of dust grains within protoplanetary disks.

astrophysical processes on length scales covering more than 14 orders of magnitude

It is now clear that small-scale processes like the condensation of molecular clouds into stars, magnetic fields and the details of heat transport as well as large-scale processes like gas infall from the cosmic web into galaxies and environment are intimately coupled and have to be investigated in a concerted effort. The various past and ongoing projects within the CAST group cover a link between the various scales and contribute to our understanding of crucial aspects of the formation and evolution of stars and protoplanetary disks, central black holes and AGNs, star-forming regions and the ISM, galaxies and their IGM, galaxy clusters and the ICM as well the large-scale structures in the universe. They also also drive the continuous effort to develop and to apply new numerical methods and the next generation of multi-scale codes within the framework of numerical astrophysics.

Past and ongoing Bachelor’s and Master’s thesis projects were always offered with respect to the individual strengths and interests of the students and cover various areas in the field of computational and theoretical astrophysics:

  • Formation of large-scale cosmological structures (dark-matter halos, galaxies, clusters of galaxies, role of black holes, magnetic fields and non-thermal particles)
  • Evolution and structure of the turbulent interstellar medium (ISM physics, self-regulating star formation, formation of molecular clouds, magnetic fields)
  • Physics of galactic centers (active galactic nuclei, origin and nature of the gas cloud G2 near the Galactic center)
  • Formation of planets, stars, and stellar clusters (stars and their influence on the surrounding protoplanetary disc, interstellar matter, radiative transfer, dynamics of particles and planets in protoplanetary disks)
  • Application and development of numerical tools on parallel CPUs and GPUs and visualization (particle-based SPH/N-body, grid-based, moving-mesh or meshless methods)

More detailed information on ongoing and finished projects as well as more detailed information on ongoing research can be found on the web pages of the Computational Astrophysics Group.

6. High-energy astrophysics

Gayoung Chon (gchon@usm.lmu.de)
X-ray and gamma-ray observations have been instrumental in enabling scientists to study some of the most extreme cosmic sources in the Universe. The utilisation of data obtained through X-ray and imaging atmospheric Cherenkov telescopes facilitates the comprehension of physical processes in these extreme environments and the tracing of their evolution. This provides opportunities to study processes at the frontier of known physics. The research undertaken by our group encompasses a broad spectrum of enquiry into astrophysics and fundamental physics, including the investigation of cosmic-ray acceleration processes and the quest to comprehend the nature of Dark Matter.

Those interested in pursuing this field are invited to get in touch.

Project 6.1 (Master’s project): Multi-wavelength study of blazars (Gayoung Chon gchon@usm.lmu.de)
We invite motivated students with a strong interest in high-energy astrophysics and data analysis to apply for a thesis project centred on blazars – the brightest and most variable active galactic nuclei observed in the very-high-energy (VHE) gamma-ray sky. The project focuses on a comprehensive multi-wavelength analysis of blazers, utilising data from a range of instruments spanning the electromagnetic spectrum. A key emphasis is placed on data from Imaging Atmospheric Cherenkov Telescopes (IACTs), particularly the MAGIC (Major Atmospheric Gamma Imaging Cherenkov) telescopes. Students will acquire and apply advance data analysis techniques, investigating correlations between gamma-ray, X-ray, optical and radio observations with a goal is to constrain and interpret the physical parameters driving the emission processes of this extraordinary class of objects.
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