7–10 oct. 2024
Online
Fuseau horaire Europe/Paris

Hands-on tutorial sessions on how to generate simulated datasets (similar to LDC datasets) and run parameter estimation on them. It will include 101-level sessions, as well as more in-depth sessions. The end-goal is to study the some of the algorithms that might be used in a global fit pipeline.

The workshop will cover 4 sessions (European afternoons, North-American mornings), including

  • A 4-hour "getting started" hands-on tutorial, where we will generate of a simple LDC-like dataset with realistic instrumental noise and one MBHB signal, then run an MCMC on it to recover the source parameters.
  • A 3-hour "in-depth simulation" hands-on tutorial, where the parametrization of the instrumental noise and various effects (such as nonstationary noise and glitch injection) will be demonstrated, as well as realistic time-domain EMRI, Galactic binary ensemble, and SGWB signals.
  • Two 3-hour "in-depth analysis" hands-on tutorials, working towards a global fit pipeline. We will look at noise and stochastic gravitational-wave background (SGWB) estimation, as well as transdimensional MCMC algorithms to fit for an unknown number of Galactic binaries. 

 

This workshop is open to all. However, some tools might have restricted access to LISA Consortium associated or full members.

If you attended the workshop, please take a minute of your time to give us your feedback, so that we can propose an even better workshop next time. Follow this link: https://forms.gle/MMLZhg7nn62k8uVM6.

Recordings, slides and notebooks with solutions are available as session material (choose "program" on the navigation bar).

The workshop is organized by the junior chairs of the LISA Consortium Simulation Expert Group and the LISA Data Challenge Working Group. Many thanks to the speakers, who agreed to help with the organization of the tutorials, and in particular:

  • Jean-Baptiste Bayle (University of Glasgow)
  • Quentin Baghi (APC)
  • Eleonora Castelli (NASA GSFC)
  • Natalia Korsakova (APC)
  • Christian Chapman-Bird (University of Glasgow)
  • Henri Inchauspé (Universität Heidelberg)
  • Martin Staab (Observatoire de Paris)
  • Maude Le Jeune (APC)
  • Michael Katz (NASA Marshall)
  • Nikolaos Karnesis (AUTh)
  • Senwen Deng (APC)
  • Sylvain Marsat (L2I Toulouse)

 

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