Ursula Keller wins “Swiss Nobel” Marcel Benoist Prize
Farewell: the NCCR MUST ended 
MUST2022 Conference
New scientific highlights
FELs of Europe prize for Jeremy Rouxel
Ruth Signorell wins Doron prize
New FAST-Fellow Uwe Thumm at ETH
International Day of Women and Girls in Science
New scientific highlight
EU XFEL Young Scientist Award for Camila Bacellar,
Prizes for Giulia Mancini and Rebeca Gomez Castillo
Nobel Prize in Chemistry awarded to RESOLV Member Benjamin List
Hans Jakob Wörner invited to give the „New Horizons Solvay Lectures” 
Unusual keynote talk at an international scientific conference
NCCR MUST at Scientifica 2021Purifying electron spectra from noisy pulses with machine learning using synthetic Hamilton matrices
| Date | Mo, 16.12.2019 | |
| Time | 16:45h | |
| Speaker | Prof. Dr. Jan Michael Rost, MPI for the Physics of Complex Systems, Dresden, Germany | |
| Location | ETHZ, Hönggerberg Campus, HPF G-6 | |
| Program | We construct a fully connected feedforward artificial neural network to extract a purified electron spectrumcorresponding to ionization with a Fourier limited light pulse from a noisy spectrum created by a short, noisy pulse.The network is trained bytheoretical spectra obtained from a large number of synthetically generatedrandom Hamilton matrices coupled to short pulses and noise. Therefore,application to a wide varietyof problems is possible.Concrete first examples presented will include helium and H2+ for processes dominated by non-lineartwo-photon absorption in the XUV, where we demonstrate that indeed, the noise free spectrumcan be uncovered with good accuracy. | |
| Link | Laser Seminars | |
