QU Lecture - Charting the Universe: the next generation of cosmological surveys

Prof. Jochen Liske



The standard model of cosmology (the so-called LambdaCDM model) is spectacularly successful. It is able to reproduce a large range of cosmological observations with just six free parameters. However, the model offers no physical "explanation" for several of these parameters. In particular, the physical nature of both dark matter and dark energy remains unclear even decades after their discoveries. Furthermore, the model may be beginning to crack, with different ways of measuring the Hubble constant returning irreconcilable results.

So far, no physical experiment or astronomical observation has been able to detect any effect of dark matter of dark energy on scales smaller than that of a galaxy. The effect of dark energy, in particular, is so far only evident on cosmological scales. It is therefore not surprising that large-scale surveys of the Universe are an important part of the observational toolkit used to study these phenomena.

Just like every other physics experiment, our ability to conduct such surveys is tightly coupled to the developments in a number of technological fields. As a result, the landscape of survey facilities is evolving rapidly. In this mini-series of lectures I will provide an overview of a selection of the latest generation of survey experiments, and a preview of what progress we expect from these.

Further information on indico: https://indico.desy.de/event/30465/

General Data

  • Abbreviation
  • Semester
    winter semester 21/22
  • Target Groups
  • Course Type
  • Course Language
  • Departments
    MIN Graduate School > Quantum Universe Research School

Place and Time

  • Place
  • Time
    from 05/11/2021 weekly Fridays to 26/11/2021 from 14:30 to 16:00
    except Freitag 12.11.2021

Recognition Modalities

  • Number of Semester Hours
  • Amount of Credit Points
  • Creditable as
    • MIN doctoral program: research related for QURS

Registration Modalities

  • Type of Place Allocation
    First come - first served (after the registration has been received)
  • Information about Registration
  • Max. Number of Participants