Characterise representative template for SGWB power-law with n=0 [6.0 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 1730.0309997481104 [29 250 2700] : SO7 Characterise representative template for SGWB power-law with n=0
Inverse area of the confidence ellipse: 1730.0309997481104
Summary
The SNR of this signal is 42.638234315880744
Fisher matrix:
| log_amplitude | tilt |
|---|---|
| 8909.389122 | -2236.639993 |
| -2236.639993 | 897.431419 |
Error estimates: [0.01026438 0.05631359]
Ellipse area: 0.0018159169714572767
Inverse area of the confidence ellipse: 1730.0309997481104
Detailed results
Input parameters
- log : log/SO7_characterise_SGWB.c4.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.c4.md
- fom_title : Characterise representative template for SGWB power-law with n=0
- fom_or : OR7.2 SI7.2
- fom_config : SO7/characterise_SGWB.c4.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 : [29, 250, 2700]
- 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]