Characterise representative template for SGWB power-law with n=-3 [4.5 yr]
FoM
Science investigation and Observational requirement: OR7.2 SI7.2 from Science requirement document.
Compute SNR of the power-law-type stochastic GW signal
- OK 3103.6017066046284 [60 515 4800] : SO7 Characterise representative template for SGWB power-law with n=-3
Inverse area of the confidence ellipse: 3103.6017066046284
Summary
The SNR of this signal is 44.253885243692935
Fisher matrix:
| log_amplitude | tilt |
|---|---|
| 8265.231922 | -11432.280110 |
| -11432.280110 | 16978.273978 |
Error estimates: [0.00634285 0.05079833]
Ellipse area: 0.001012240922185446
Inverse area of the confidence ellipse: 3103.6017066046284
Detailed results
Input parameters
- log : log/SO7_characterise_SGWB.c6.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.c6.md
- fom_title : Characterise representative template for SGWB power-law with n=-3
- fom_or : OR7.2 SI7.2
- fom_config : SO7/characterise_SGWB.c6.yml
- SGWB_template : Power_law
- SWGB_parameters : None
- gw_response : CBE_redbook/gw_response_x.npy
- fom_type : inverse_ellipse_area
- fom_range : [60, 515, 4800]
- fom_objective : Detectability of the stochastic GW signal
- fom_obj : Compute SNR of the power-law-type stochastic GW signal
- SGWB_parameters : [-14.5, -3]