Characterise representative template for SGWB power-law with n=2/3 [6.0 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 948.096869509439 [17 150 1600] : SO7 Characterise representative template for SGWB power-law with n=2/3
Inverse area of the confidence ellipse: 948.096869509439
Summary
The SNR of this signal is 31.464493797249656
Fisher matrix:
| log_amplitude | tilt |
|---|---|
| 4979.276388 | -709.650192 |
| -709.650192 | 281.665640 |
Error estimates: [0.01402463 0.07520661]
Ellipse area: 0.0033135777098550123
Inverse area of the confidence ellipse: 948.096869509439
Detailed results
Input parameters
- log : log/SO7_characterise_SGWB.c5.log
- config : config.yml
- subconfig :
- duration : 6.0 yr
- duty_cycle : 0.75
- armlength : 2500000000.0 m
- noise : CBE_1yr_6yr_tdi2/instrumental_noise.npy
- show : False
- fast : 0
- tdi2 : 1
- freqs : [2e-05, 1]
- force_duration : 6_yr
- report : CBE_1yr_6yr_tdi2/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_1yr_6yr_tdi2/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]