LISA Data Generation and Analysis Workshop

7 oct. 2024, 14:00 → 10 oct. 2024, 19:00 Europe/Paris

Online

Eleonora Castelli (NASA GSFC | UMBC), Jean-Baptiste Bayle (University of Glasgow), Natalia Korsakova (APC), Quentin Baghi (APC | Université Paris Cité)

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)

 

lundi 7 octobre

1 Introduction

Orateurs: Eleonora Castelli (NASA GSFC | UMBC), Jean-Baptiste Bayle (University of Glasgow), Natalia Korsakova (APC), Dr Quentin Baghi (APC | Université Paris Cité)

Recording

Slides

2 Getting Started (1/2)

Learn how to use the time-domain simulation tools to generate a simple LDC-like dataset containing realistic instrumental noise and one MBHB signal. The goal of this session is to get familiar with the basic simulation tools (LISA Instrument, LISA Orbits, LISA GW Response, and the LDC toolbox).

Orateur: Eleonora Castelli (NASA GSFC | UMBC)

Notebook

Notebook with solutions

Recording

Slides

16:30 Break

3 Getting Started (2/2)

Learn how to quickly setup and run an MCMC on the dataset produced during Getting Started (1/2) to estimate the MHBH source parameters. The goal of this session is to learn how to use Eryn in a simple setup.

Orateurs: Natalia Korsakova (APC), Dr Nikolaos Karnesis (AUTh)

Notebook

Notebook with solutions

Recording

Slides

mardi 8 octobre

4 Simulation in depth (1/2)

We will learn how to simulate a stochastic gravitational-wave background, using realistic instrumental setups.

Orateur: Dr Henri Inchauspé (Institute for Theoretical Physics, Universität Heidelberg)

Notebook

Notebook with solutions

Recording

Slides

17:45 Break

5 Simulation in depth (2/2)

We will learn how to parametrize the instrumental simulation to use realistic orbits, enable and disable instrumental noises and other instrumental effects; how to inject glitches; how to compute the various TDI combinations

Orateur: Martin Staab (SYRTE)

Notebook

Notebook with solutions

Recording

Slides

mercredi 9 octobre

6 Towards a global fit (1/2)

In this session, we will focus on fitting an unknown noise, as well as a stochastic gravitational-wave background (SGWB).

Orateur: Dr Quentin Baghi (APC | Université Paris Cité)

Notebook

Notebook with solutions

Recording

Slides

jeudi 10 octobre

7 Towards a global fit (2/2)

In this session, we will move towards fitting an ensemble of Galactic binaries. We will first start with a known number of signals in a narrow frequency band, with known noise; and then introduce reversible jump MCMC to also estimate the number of sources.

Orateur: Senwen Deng (APC)

gb_params_for_rj.npy

Notebook

Notebook with solutions

Recording

Slides

8 Conclusion

Orateur: Jean-Baptiste Bayle (University of Glasgow)

Recording

Slides