GWSpace: A multi-mission Science Data Simulator for Space-based Gravitational Wave Detection

GWSpace is a multi-mission science data simulator for space-based gravitational wave detection. It is a Python package that can compute correlated gravitational wave signals that could be detected by TianQin, LISA and Taiji simultaneously in a possible joint detection scenario, either in time domain (GCB, EMRI and Burst) or in frequency domain (BHB and SGWB). For more details, see doc file or arXiv:2309.15020.

Quick install

git clone --recurse-submodules https://github.com/TianQinSYSU/GWSpace
cd /GWSpace
pip install -r requirements.txt . --global-option="--with-gsl=/your/gsl/path"

• Remove -r requirements.txt if you want to install GWSpace only.
• If --with-gsl is not given, default gsl path is /usr.

GW waveforms

As seen in the figure above, different gravitational wave sources requires different waveforms. The following waveform will be automatically complied during the installation unless otherwise noted:

• EMRI: FastEMRIWaveforms (few)

  • We use FastEMRIWaveforms for EMRI. If you want to do data analysis of EMRI, you need to install it manually.
  • It requires gsl and lapack.

• Galactic compact binary (GCB): FastGB and GCBWaveform

  • FastGB:
    • A modified version of GCB waveform generation code Galaxy in the Mock LISA Data Challenge (MLDC).
    • It uses a fast/slow decomposition of the waveform to reduce the computational cost, see arXiv:0704.1808 for more details.
  • GCB time-domain waveform generation using Python: See class GCBWaveform.

• Binary black hole (BBH): IMRPhenomD

  • pyIMRPhenomD: IMRPhenomD waveform in C code developed by Michael Puerrer.
  • PyIMRPhenomD: IMRPhenomD waveform but in a pure python code, compiled with the numba just in time compiler.
    • If you prefer this one, you need to install it manually.

• Stellar-mass BBH (with eccentricity): EccentricFD

  • This is a modified version of EccentricFD waveform, which is specially for space-detector responses.
  • If you want to check the original codes, see files in LALSuite.
  • This has been linked as a submodule of GWSpace, click here to check the submodule itself.
    • This submodule is included in requirements.txt, it will be installed when installing this list.

• Stochastic gravitational wave background (SGWB):

  • With the help of healpy to generate a SGWB signal of power law type.

Library dependence

C language: gsl:

All waveforms will be compiled with gsl.

• To find the lib path of gsl:

echo $LD_LIBIARY_PATH | grep gsl

• To find the software installed manually:

ldconfig -p | grep gsl

• Install gsl only if no such library in your system. In Ubuntu, you can install it by

sudo apt-get install libgsl-dev

Python package:

Please check requirements.txt for details, or you can directly install them by

pip install -r requirements.txt

For EMRI: install lapack & lapacke

• After downloading lapack, compile both lapack and lapacke, for example

cd lapack-3.11.0
cp make.inc.example make.inc
make lapacklib
make lapackelib

• Copy the liblapacke.a and liblapack.a to your lib path (e.g. /usr/local/lib)

• Copy files in the ./LAPACKE/include to your include path (e.g. /usr/local/include)

• If you cannot do copy above, you need to add lapack path to your environment variables, e.g. add PATH to ~/.bashrc

export LIBRARY_PATH=$LIBRARY_PATH:/xxx/lapack-3.11.0
export C_INCLUDE_PATH=$C_INCLUDE_PATH:/xxx/lapack-3.11.0/LAPACKE/include

Author lists

• En-Kun Li
• Han Wang
• Ya-Nan Li
• ...