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Panda

Hi and welcome on PANDA! We hope that you will like our instrument.

PANDA team - Astrid, Chris, Alistair, Mario, Michal, Anton, Nikolaos and Sebastian


News

  • Tests on PANDA with Mario's GPR algorithm are performed.
  • Please agree with us about appointments until the new offices will be available.
  • The offices in the UYL building are almost ready to use. Please note our new phone numbers.
  • The first 2021 paper was published by Anton, Dmytro and coworkers. Congratulations and many thanks! https://link.aps.org/doi/10.1103/PhysRevB.103.024447
  • Igor left the Pand group. All the best, Igor!
  • Data measured in 2005 on PrNi systems are published now! Thanks Pavel and colleagues for exploiting them!!!!
  • Mario Teixeira Parente started on 1.10.2020 - to work on optimizing search strategies with AI methods. Welcome Mario!
  • Anton moved to TU Dresden. The contact will be kept, he is still a part of the Panda team.
  • Shang Gao's paper on antiferromagnetic skyrmions published in Nature. Congratulations! https://doi.org/10.1038/s41586-020-2716-8
  • Chris Franz joined the Panda group as a new member.
  • Nature Communications Physics on Heavy fermion superconductor CeCoIn5 published by Yu Song, Rice University https://doi.org/10.1038/s42005-020-0365-8 | www.nature.com/commsphys

Publications

Panda publications represent results on magnetic exciations and phonons in

  • strongly correlated systems
  • frustrated systems
  • superconductors
  • other model materials
  • multiferroic materials

and on hybridization effects of phonons and magnetic exciationa.

See also PANDA at Google scholar!

Show Publications section

Newcomer guide

Are you new to PANDA? You should read our short introduction guide, where you will learn:

Learn more about PANDA

Sample Environment

Reaching low temperatures, high magnetic field and high pressures brings serious limitation for sample size and signal/noise ratio. If you consider application of special sample environment (everything below 3 K and/or with magnetic field), you should read about our limitations.

  • dimensions of the cryostats
  • usual cooling times
  • restrictions in movement and reachable Q/E space
  • remarks about available high field magnets

Show Sample Environment section

Simulations

If you want to learn details about PANDA, the best is to use our prepared configuration files for neutron raytracing programs.

  • McStas code
  • Simres code

more in simulations section

Data analysis

After the experiment, you usually obtain only a few kB of well formated ASCII data produced by our instrument control software NICOS.

  • Matlab macro to read datafiles with metadata
  • Python macro to read datafiles with metadata
  • UFit suite to do advanced data analysis and evaluation
  • TAKIN for resolution calculation and fitting

data analysis section

What's happening at PANDA

Former members

Here you can find the former members of the team and where to find them now:

Long-term guests on Panda

List of long-term guests on Panda (when) and their current affiliation:

  • Anton Kulbakov (2019-2020), TU Dresden,
  • Iwan Sumirat (2014), now Leader of Neutron Triple Axis Spectroscopy Group, Neutron Beam Technology Division, Center for Science and Technology of Advanced Materials, National Nuclear Energy Agency of Indonesia - BATAN, Indonesia
  • Peng Cheng (2013/14), now Department of Physics and Beijing Key Laboratory of Opto-electronic Functional Materials & Micro-nano Devices, Renmin University of China, Beijing 100872, China
  • Shiliang Li, now Professor at Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
panda/index.1616596272.txt.gz · Last modified: 2021/03/24 14:31 by Astrid Schneidewind