Kommende 5 dager

i dag nov.
Tid og sted: 22. nov. 2017 12:15 - 13:00, Seminar-room KV3456 CFhemistry Building

Espen Rusten, BMF-section, Department of Physics

Tid og sted: 22. nov. 2017 13:05 - 14:00, Ø467

Jan Heisig, RWTH Aachen

The origin and nature of the dark matter in the Universe is one of the most pressing questions in fundamental physics. The combination of particle physics and cosmology has proven to be a successful avenue leading to the well-established theory of big bang nucleosynthesis that explains the primordial abundances of light elements. In the similar manner an extrapolation to even earlier times in the Universe has led to the WIMP (Weakly Interacting Massive Particle) freeze-out paradigm - one of the best motivated explanations of the dark matter relic abundance measured today. However, despite an enormous experimental effort no conclusive hint for WIMPs has been found, putting pressure on the WIMP dark matter explanation. In this talk we examine new avenues beyond the standard WIMP picture. We show that scrutinizing the well-known co-annihilation scenario and dropping the commonly made assumption of chemical equilibrium between co-annihilating partners offers new phenomenological possibilities. By solving the full coupled set of Boltzmann equations we find solutions that accommodate the measured dark matter density while requiring very small couplings that are in accordance with current null-results in WIMP searches. [continued below]

(The slides will be available here)

Flere kommende arrangementer

Tid og sted: 29. nov. 2017 12:15 - 13:00, Seminarroom KV346 Chemistry Building

Delmon Arous, BMF-seksjonen, Fysisk institutt

Tid og sted: 29. nov. 2017 13:05 - 14:00, Ø467

Mauro Valli, INFN Rome

Weekly Theory Seminar, and also part of the seminar series of the Strategic Dark Matter Initiative.

Tid og sted: 30. nov. 2017 10:00, Aud. Ø467

Speeding up ab-initio molescular dynamics with artificial neural Networks

Tid og sted: 30. nov. 2017 10:15, auditorium 3, Helga Engs Hus

Doctoral candidate Chengxin Zhao at Department of Physics will give a trial lecture on the given topic:

"Machine/Deep Learning and Neural Nets — Important techniques valuable for analysis of LHC experiments"

Tid og sted: 30. nov. 2017 13:15, Auditorium 3, Helga Engs Hus

Master of Science Chengxin Zhao at Department of Physics will be defending the thesis 

“A radiation tolerance study of the ALICE TPC Readout Control Unit 2”

for the degree of PhD