Data analysis with the Gravitational Wave LIGO/Virgo data (VIRGO_DA)

E-mail : pia.astone@roma1.infn.it

Pia Astone web pages

Anno accademico 2023/2024

Tutors: Pia Astone and Paola Leaci

Data analysis for gravitational wave detectors like LIGO and Virgo. Lectures on general aspects of gw searches will be given at the beginning. Students will learn signal processing methods (FFTs, spectral analysis, filtering, procedures to extract signals from noise). Programming language is Matlab. The analysis will be done using real LIGO/Virgo data and injections of simulated signals.

Introduction to the project:
  • Short presentation of the 2023/2024 project

    • Anno accademico 2021/2022

    Tutors: P. Astone, S. Dall' Osso

    E-mail : pia.astone@roma1.infn.it

    E-mail : Simone.Dall-Osso@roma1.infn.it

    Data analysis for gravitational wave detectors like LIGO and Virgo. Lectures on general aspects of gw searches will be given at the beginning. Students will learn signal processing methods (FFTs, spectral analysis, filtering, procedures to extract signals from noise). Programming language is Matlab. The analysis will be done using real LIGO/Virgo data and injections of simulated signals.

    Introduction to the project:
  • Short presentation of the project

    • Papers that can be relevant to the project. Latest results are in the O3 paper:

  • Searches for continuous-wave gravitational waves . Keith Riles. Theory, Methods, Results. 2023
  • Gravitational Waves from Neutron Stars: A Review. P. Lasky
  • Binary and Millisecond Pulsars, by Duncan Lorimer, Living Rev. in Relativity
  • A search strategy for binaries. Introduction - The signal
  • All-Sky searches for isolated neutron stars with LIGO/Virgo, O1 data
  • All-Sky searches for isolated neutron stars with LIGO/Virgo, O2 data
  • All-Sky searches for isolated neutron stars with LIGO/Virgo, O3 (the latest, at March 2022) data
  • Frequency Hough Transform: the hierarchical method to search for All-Sky neutron stars
  • Band Sampled data (BSD)
  • Frequency Hough Transform on Virgo -older- data. See the procedure description and in particular the candidate selection procedure
  • Read Appendix A: how FFT lenghts -in the coherent analysis step- are evaluated (to avoid the Doppler effect peaks broadening)
  • Slides in the FH Transform (not all are needed..)
  • The generalized Frequency Hough, GFH, (long transient searches)
  • Search for a long lived GW170817 postmerger (also with the GFH)

    Software to download:

  • Matlab (Sapienza site)
  • SNAG (S. Frasca site)
    Download SNAG, unzip it. Add to the Matlab path the folder SNAG, including subfolders.
  • Directory with the driver code and basic instructions

    Directory with presentations and useful material:

  • Presentations
    Simple examples presented in the second lecture (python)

    Anaconda and simple DA examples


    Anni precedenti

    Anno accademico 2019/2020 e 2020/2021

    Tutors: P. Astone, S. Frasca, Ornella Piccinni, Lorenzo Pierini

    Next lectures:  
     
    to be fixed18-19.30 Skype P. Astone

    Official working hours in our lab: Tuesdays from 2/3 to 6/7 PM


    Presentation of the project (2020)

    The program in short

    Data analysis for gravitational wave detectors like LIGO and Virgo.
    Lectures on general aspects of gw experiments and searches will be given at the beginning. Students will learn signal processing methods (FFTs, spectral analysis, filtering, procedures to extract signals from noise). Programming language is Matlab. The analysis will be done using simulated data (signals added to noise).

    Material for 2019-2020 :

  • The software
  • Examples
  • Evolving info document
  • Matched filtering applied to CBC signals


    • Anno accademico 2018/2019

    First meeting with students: Friday 15 march 2019.

    Next meetings, lectures and tutorials:  
     
    Monday 18 march18-19.30 G23. P. Astone
    Wednesday 20 march 18-19.30 G23. P. Astone
    Wednesday 27 march 18.15-19.300 G23. P. Astone
    Tuesday 2 march 18-19.30 G23. P. Astone
    Work on Tuesdays @ G23 18-19.30 G23.

    Official working hours in our lab: Tuesdays from 2/3 to 6/7 PM


    Presentation of the project (March, 5th 2019)

    The program in short

    Data analysis for gravitational wave detectors like LIGO and Virgo.
    The signals analyzed will be those of the coalescence of two black holes of solar masses (CBC signalss), like GW150914
    Lectures on general aspects of gw experiments and searches will be given at the beginning. Students will learn signal processing methods (FFTs, spectral analysis, filtering, procedures to extract signals from noise). They will construct and apply mathed filtering to CBC signals and then construct a grid of matched filters in order to evaluate the effect of a mismatch in the parameters of the filter vs the real signal. If there is interest, implementation and optimization of the code on GPUs will be included in the project. Programming language is Matlab. The analysis will be done using simulated data (chirp signals added to white noise), to begin, and then on real data LIGO or Virgo data (if there will be enough time and interest).

    Material for 2018-2019:

  • The software
  • Examples
  • Evolving info document
  • Matched filtering applied to CBC signals
  • S. Frasca. Lab Segnali e sistemi


    • Lectures:

  • How the interferometer works and some basic aspects of the gw search. P. Astone
  • The search for compact binary coalescences in LIGO and Virgo data. P. Astone
  • Data analysis: signals. P. Astone/S. Frasca
  • Data analysis: filtering. P. Astone/S. Frasca


    • Other important material:

  • LIGO/Virgo open data center
  • CBC signals release
  • Science summaries of the LIGO/Virgo papers


    • Back to Pia Astone web pages