LISA Data Generation and Analysis Workshop

Europe/Paris
Online

Online

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

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)

 

Participants
  • Aasim Jan
  • Aayush Ranjan Keshava
  • Adam Pound
  • Adam Pound
  • Aditya Vaswani
  • ADREEJA GOSWAMI
  • Adrien Cogez
  • Alberto Roper Pol
  • Alejandro Cardenas-Avendano
  • Alessandro Santini
  • Alessia Pascoli
  • Alexander Bonilla Rivera
  • Alexander Grant
  • Alice Spadaro
  • Alisha Marriott-Best
  • Ann-Kristin Malz
  • Antoine Basset
  • Ashad Ahmad
  • Astrid Lamberts
  • August Muller
  • Avishkar sachin Thanage
  • Aya Ghaleb
  • Ayush Anand
  • Ayush Roy
  • Bernardo Porto Veronese
  • Bernardo Porto Veronese
  • Bert Depoorter
  • Bovas Abraham
  • Brendan Devlin-Hill
  • Brendan King
  • Carlos Sopuerta
  • Casey McGrath
  • Christian Chapman-Bird
  • Chun-Fung Wong
  • Cian Crowley
  • Constantinos Kalapotharakos
  • Cristian Maria-Moreno
  • Daniela Doneva
  • Deanna C. Hooper
  • Dipika Barman
  • Eleonora Castelli
  • Elisa Maggio
  • Elise Sänger
  • Enrique Condes
  • Federico Pozzoli
  • Francesco Cireddu
  • Francesco Crescimbeni
  • Francisco DUque
  • Gabriel Andres Piovano
  • Gang Wang
  • Gary LaMotte
  • Geraint Pratten
  • Gianluca Calcagni
  • Graham Woan
  • Guillaume Boileau
  • Henri INCHAUSPÉ
  • Ilaria Caporali
  • Jacob Slutsky
  • James Alvey
  • Jan Stark
  • Jasper Seehofer
  • Jean-Baptiste Bayle
  • Jerome Chenevez
  • Jesús Yébana Carrilero
  • Jishnu Suresh
  • Jonah Kanner
  • Jonathan Menu
  • Jonathan Thompson
  • Jordan Camp
  • Josh Mathews
  • Kallol Dey
  • Katie Rink
  • Kavya Chari
  • Kristen Schumacher
  • Lara Sousa
  • Lisa Drummond
  • Lorena Magaña Zertuche
  • Lorenzo Speri
  • Luca Reali
  • Manuel Arca Sedda
  • Marc Besancon
  • Maria de Lluc Planas
  • Martin Staab
  • Mathieu Dubois
  • Matteo Scialpi
  • Maude Le Jeune
  • Maxime PIGOU
  • MEDHA SHARMA
  • Miaoxin Liu
  • Michael Katz
  • Michael Puerrer
  • Miguel Dovale
  • Milan Wils
  • Natalia Korsakova
  • Nathan Steinle
  • Nayeli Marisol Jimenez Cruz
  • Niels Warburton
  • Nikolaos Karnesis
  • Nils Nilsson
  • Ollie Burke
  • Ondřej Zelenka
  • Pablo Cárdenas-Fernández
  • Paraskevas Lampropoulos
  • Patrick Krieger
  • Patrick Sutton
  • Paulo Garcia
  • Philip Lynch
  • Priyanshi Kumari
  • Quang Nam DAM
  • Quentin Baghi
  • Rahul Srinivasan
  • Renjie Wang
  • Riccardo Buscicchio
  • Rishav Agrawal
  • Rudra Singh
  • Ryan Nowicki
  • Samson Leong
  • Samuel Gómez Gómez
  • Samuel Upton
  • Sascha Husa
  • Sasha Levina
  • scott Field
  • Sergei Mukovnikov
  • Shichao Wu
  • Shri Krishna Anand
  • Shruti Mukherjee
  • Shubham Kejriwal
  • Simon Maenaut
  • Solano Sousa Felicio
  • Sourath Ghosh
  • Sylvain Marsat
  • Tiina Minkkinen
  • Tomislav Andric
  • Vaidehi Gupta
  • Vaidehi Gupta
  • Valeriya Korol
  • Vasco Gennari
  • Wolfgang Kastaun
  • Xisco Jimenez Forteza
  • Yiming Dong
  • Yumeng Xu
  • +98
    • 14:40 15:00
      Introduction 20m
      Orateurs: Eleonora Castelli (NASA GSFC | UMBC), Jean-Baptiste Bayle (University of Glasgow), Natalia Korsakova (APC), Dr Quentin Baghi (APC | Université Paris Cité)
    • 15:00 16:30
      Getting Started (1/2) 1h 30m

      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)
    • 16:30 16:45
      Break 15m
    • 16:45 18:30
      Getting Started (2/2) 1h 45m

      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)
    • 16:00 17:45
      Simulation in depth (1/2) 1h 45m

      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)
    • 17:45 18:00
      Break 15m
    • 18:00 19:00
      Simulation in depth (2/2) 1h

      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)
    • 16:00 18:30
      Towards a global fit (1/2) 2h 30m

      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)
    • 16:00 18:15
      Towards a global fit (2/2) 2h 15m

      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)
    • 18:15 18:30
      Conclusion 15m
      Orateur: Jean-Baptiste Bayle (University of Glasgow)