Kolloquien
URL zum ICS-Kalender dieses Seminars
Kirchhoff-Institut für Physik, Otto-Haxel-Hörsaal
freitags 17:15
11.4.2024 17:30
INF 308, Hörsaal 1
Kolloquium der 52. Heidelberger Graduiertentage - Hans Jensen Invited Lecture
19.4.2024 17:00
KIP, INF 227, Hörsaal 1
The Standard Model of particle physics is incredibly successful but glaringly incomplete. Among the
questions left open is the striking imbalance of matter and antimatter in our universe, which inspires
experiments to compare the fundamental properties of matter/antimatter conjugates with high precision.
The BASE collaboration at the antiproton decelerator of CERN is performing such high-precision
comparisons with protons and antiprotons.
mehr...
26.4.2024 17:00
KIP, INF 227, Hörsaal 1
Modern machine learning and artificial intelligence are starting to fundamentally
change how we analyze huge volumes of data in particle physics and adjacent
scientific disciplines. These breakthroughs promise new insights into major scientific
questions such as the nature of dark matter or the existence of physical phenomena
beyond the standard model.
mehr...
3.5.2024 17:00
KIP, INF 227, Hörsaal 1
Superconductivity is a fascinating state of matter that transforms metals at very low
temperature into perfect conductors and perfect diamagnets. This enables numerous
technical applications for magnetic levitation, electric current transport without loss
and for quantum information technology. A desired but rare type of unconventional
superconductivity with possible uses in topological quantum computing is one where
the superconducting condensate is odd under inversion symmetry, so-called odd-parity superconductivity. Only a handful of uranium-based materials have this property
and it is usually explained by the presence of ferromagnetism enforcing a parallel
alignment of the electrons forming the Cooper pair.
mehr...
10.5.2024 17:00
KIP, INF 227, Hörsaal 1
Recent rapid progress in applications of machine learning has also illustrated that
there is an exponential growth of required resources, especially for advanced
applications like large-language models. This makes it all the more urgent to explore
possible alternatives to current digital artificial neural networks. The field of
neuromorphic computing sets itself the goal to identify suitable physical architectures
that enable us to perform machine learning tasks in a highly parallel and much more
energy-efficient manner.
mehr...
17.5.2024 17:00
KIP, INF 227, Hörsaal 1
Particle accelerators are ubiquitous tools across scientific, industrial, and medical
domains, pivotal not only in advancing particle physics but also in applications such
as sterilization and radiotherapy in modern healthcare facilities. Traditionally, these
accelerators harness microwave fields to impart momentum to swift electrons or other
charged particles.
mehr...
24.5.2024 17:00
KIP, INF 227, Hörsaal 1
Particles in the atmosphere - aerosols - may serve as cloud condensation nuclei.
Increases in aerosol concentrations thus change cloud droplet concentrations and
thus enhance the brightness of clouds. Such aerosol-cloud interactions exert a cooling
effect on climate.
mehr...
31.5.2024 17:00
KIP, INF 227, Hörsaal 1
All chemical elements are born naked and do not bind electrons until the temperature
drops sufficiently. Most of the baryonic matter remains highly charged since the re-
ionization era, be it in the cores of stars, astrophysical shocks, accretion disks, or the
intra-cluster and intergalactic media. Thus, the study of highly charged ions in the
laboratory is essential for astrophysical diagnostics.
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7.6.2024 17:00
KIP, INF 227, Hörsaal 1
14.6.2024 17:00
KIP, INF 227, Hörsaal 1
21.6.2024 17:00
KIP, INF 227, Hörsaal 1
28.6.2024 17:00
KIP, INF 227, Hörsaal 1
5.7.2024 17:00
KIP, INF 227, Hörsaal 1
12.7.2024 17:00
KIP, INF 227, Hörsaal 1