Characterise representative template for SGWB power-law with n=2/3 [4.5 yr]
FoM
Science investigation and Observational requirement: SI7.2, OR7.2 from Science requirement document.
Compute SNR of the power-law-type stochastic GW signal
- OK 843.272074781987 [17 150 1600] : SO7 Characterise representative template for SGWB power-law with n=2/3
Inverse area of the confidence ellipse: 843.272074781987
Summary
The SNR of this signal is 29.683544081296528
Fisher matrix:
| log_amplitude | tilt |
|---|---|
| 4428.750759 | -631.188868 |
| -631.188868 | 250.523734 |
Error estimates: [0.01487078 0.07974409]
Ellipse area: 0.0037254792937403934
Inverse area of the confidence ellipse: 843.272074781987
Detailed results
Input parameters
- log : log/SO7_characterise_SGWB.c5.log
- config : config.yml
- subconfig :
- duration : 4.5 yr
- duty_cycle : 0.89
- armlength : 2500000000.0 m
- noise : CBE_redbook/instrumental_noise.npy
- show : False
- fast : 0
- tdi2 : 1
- freqs : [2e-05, 1]
- force_duration : 4.5_yr
- report : CBE_redbook/report_SO7_characterise_SGWB.c5.md
- fom_title : Characterise representative template for SGWB power-law with n=2/3
- fom_or : SI7.2, OR7.2
- fom_config : SO7/characterise_SGWB.c5.yml
- SGWB_template : Power_law
- SWGB_parameters : None
- gw_response : CBE_redbook/gw_response_x.npy
- fom_type : inverse_ellipse_area
- fom_range : [17, 150, 1600]
- fom_objective : Detectability of the stochastic GW signal
- fom_obj : Compute SNR of the power-law-type stochastic GW signal
- SGWB_parameters : [-12.45, 0.6666666]