145 citations · 321 across the 5 of their papers we have counts for
5 papers
EMRI data analysis with a phenomenological waveform
Yan Wang, Yu Shang, Stanislav Babak
Extreme mass ratio inspirals (EMRIs) (capture and inspiral of a compact stellar mass object into a Massive Black Hole (MBH)) are among the most interesting objects for the gravitat…
The search for spinning black hole binaries in mock LISA data using a genetic algorithm
Antoine Petiteau, Yu Shang, Stanislav Babak +1
Coalescing massive Black Hole binaries are the strongest and probably the most important gravitational wave sources in the LISA band. The spin and orbital precessions bring complex…
The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
Stanislav Babak, John G. Baker, Matthew J. Benacquista +27
The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of one or more data…
The search for black hole binaries using a genetic algorithm
Antoine Petiteau, Yu Shang, Stanislav Babak
In this work we use genetic algorithm to search for the gravitational wave signal from the inspiralling massive Black Hole binaries in the simulated LISA data. We consider a single…
The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
Stanislav Babak, John G. Baker, Matthew J. Benacquista +27
The Mock LISA Data Challenges are a programme to demonstrate and encourage the development of LISA data-analysis capabilities, tools and techniques. At the time of this workshop, t…