Examples ======== The current version of GWDALI deals only whith waveforms in the frequency space. *************************** Jupyter Notebooks (.ipynb) *************************** * `1_get_hphx.ipynb `_ - Compute polarizations :math:`h_+,\ h_{\times}` * `2_DrawDetectors.ipynb `_ - Vizualization of the GW detectors network choosen by the user * `3_get_strains.ipynb `_ - Compute detectors output :math:`h=F_+h_+ + F_{\times}h_{\times}` * `4_get_derivatives.ipynb `_ - Compute derivative of the GW signals (differention method choosen by the user: numerical/automatic differentiation) - Fisrt derivatives :math:`\partial_ih` - Second derivatives :math:`\partial_i\partial_jh` - Thirds derivatives :math:`\partial_i\partial_j\partial_kh` * `5_get_tensors.ipynb `_ - Compute DALI Tensors: - Fisher :math:`F_{ij}\equiv\langle\partial_i h|\partial_j h\rangle` - Doublet * :math:`D_{ijk}\equiv\langle\partial_i h|\partial_{jk} h\rangle` * :math:`D_{ijkl}\equiv\langle\partial_{ij} h|\partial_{kl} h\rangle` - Triplet * :math:`T_{ijkl}\equiv\langle\partial_i h|\partial_{jkl} h\rangle` * :math:`T_{ijklm}\equiv\langle\partial_{ij} h|\partial_{klm} h\rangle` * :math:`T_{ijklmn}\equiv\langle\partial_{ijk} h|\partial_{lmn} h\rangle` * `6_GWDALI_MCMC_Fisher-vs-Singlet.ipynb `_ - Sampling parameters for Posteriors estimation via MCMC or Nested Sampling methods (comparing Fisher-Inversion vs Singlet/Fisher_MCMC) * `7_GWDALI_MCMC_Exact-vs-Doublet.ipynb `_ - Sampling parameters for Posteriors estimation via MCMC or Nested Sampling methods (comparing Exact vs Doublet posteriors) * `8_GWDALI_Grid.ipynb `_ - Compute GW Posteriors from a N-dimensional Grid (choosen by the user) *************************** Top-Down Python Codes (.py) *************************** * `1_get_hphx.py `_ * `2_get_strains.py `_ * `3_get_derivatives.py `_ * `4_get_dali-tensors.py `_ * `5_get_SNR.py `_ * `6_draw_detectors.py `_ * `7_get_map.py `_ * `8_check_priors.py `_ * `9_gwdali_mcmc_Fisher-vs-Singlet.py `_ * `10_gwdali_mcmc_Exact-vs-Doublet.py `_ * `11_gwdali_grid.py `_