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05.09.2022 - 09.09.2022, Iseolago hotel, Iseo, Italy.

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MUST2022 Conference- a great success!
New scientific highlights- by MUST PIs Wörner, Chergui, and Richardson
FELs of Europe prize for Jeremy Rouxel- “Development or innovative use of advanced instrumentation in the field of FELs”
Ruth Signorell wins Doron prizefor pioneering contributions to the field of fundamental aerosol science
New FAST-Fellow Uwe Thumm at ETH- lectures on Topics in Femto- and Attosecond Science
International Day of Women and Girls in Science- SSPh asked female scientists about their experiences
New scientific highlight- by MUST PIs Milne, Standfuss and Schertler
EU XFEL Young Scientist Award for Camila Bacellar,beamline scientist and group leader of the Alvra endstation at SwissFEL
Prizes for Giulia Mancini and Rebeca Gomez CastilloICO/IUPAP Young Scientist Prize in Optics & Ernst Haber 2021
Nobel Prize in Chemistry awarded to RESOLV Member Benjamin List- for the development of asymmetric organocatalysis
NCCR MUST at Scientifica 2021- Lightning, organic solar cells, and virtual molecules
#NCCRWomen- NCCR MUST celebrates 50 years women’s right to vote in Switzerland

Purifying electron spectra from noisy pulses with machine learning using synthetic Hamilton matrices

Date Mo, 16.12.2019 - 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.
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