| Full text | |
| Author(s): |
de Souza, J. M. S.
;
Sturani, R.
Total Authors: 2
|
| Document type: | Journal article |
| Source: | ASTRONOMY AND COMPUTING; v. 45, p. 9-pg., 2023-10-24. |
| Abstract | |
We introduce GWDALI, a new Fisher-matrix, python based software that computes likelihood gradients to forecast parameter-estimation precision of arbitrary network of terrestrial gravitational wave detectors observing compact binary coalescences. The main new feature with respect to analogous software is to assess parameter uncertainties beyond Fisher-matrix approximation, using the derivative approximation for Likelihood (DALI). The software makes optional use of the LSC algorithm library LAL and the stochastic sampling algorithm Bilby, which can be used to perform Monte-Carlo sampling of exact or approximate likelihood functions. As an example we show comparison of estimated precision measurement of selected astrophysical parameters for both the actual likelihood, and for a variety of its derivative approximations, which turn out particularly useful when the Fisher matrix is not invertible. (AU) | |
| FAPESP's process: | 22/06350-2 - Fundamental physics and LIGO |
| Grantee: | Riccardo Sturani |
| Support Opportunities: | Special Projects |
| FAPESP's process: | 21/14335-0 - ICTP South American Institute for Fundamental Research: a regional center for Theoretical Physics |
| Grantee: | Nathan Jacob Berkovits |
| Support Opportunities: | Special Projects |