Data generation

• Jean-Baptiste Bayle (University of Glasgow)
• Maude Le Jeune (APC)

This tutorial is meant to show the general process followed to generate LDC data, including gravitational-wave (GW) signal and noise. The objective is to: - Display source parameter: get the first MBHB from spritz - Compute h+,hx with the LDC - Compute projected strain with gw-response and save to file - Compute projected strain with the LDC - Inject GW signal in lisa-instrument or in pyTDI

Fast waveform generation

• Natalia Korsakova (APC)
• Michael Katz (Albert Einstein Institute)

This tutorial shows how to use the fast waveform generators to match signals injected in LDC datasets. The objective is to: - Generate fast waveforms in the frequency domain for Galactic binaries (GB) - Generate fast waveforms in the frequency domain for massive black hole binaries (MBHB) - Generate fast waveforms for EMRI (if time permits) - Plot the waveform against simulated data

Detection and parameter estimation of Galactic binaries

• Quentin Baghi (CEA Saclay)

This tutorial shows the general process to follow when analysing LDC data to detect and characterize gravitational-waves from Galactic compact binaries sources. The objective is to: 1. Load and plot the TDI data in time and frequency domain 2. Compute a source SNR 3. Compute a likelihood 4. Compute the F-statistics 5. Detect sources using the F-statistics 6. Perform parameter estimation

MBHB parameter estimation

• Stanislav Babak (APC)
• Sylvain Marsat (L2I Toulouse, CNRS/IN2P3)

This tutorial shows the general process to follow when analyzing LDC data to detect and characterize gravitational-waves from massive black hole binary sources. The objective is to: 1. Load and plot the TDI data in time and frequency domain 2. Compute a source SNR 3. Compute a likelihood 4. Transformation to LISA frame and how it helps 6. Perform parameter estimation in the noiseless case