Characterise representative template for SGWB power-law with n=0 [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

- WARNING 231.13495674016562 [29 250 2700] : SO7 Characterise representative template for SGWB power-law with n=0

Inverse area of the confidence ellipse: 231.13495674016562

Summary

The SNR of this signal is 15.169127864032246

Fisher matrix:

log_amplitude tilt
1184.648345 -255.468367
-255.468367 100.187921

Error estimates: [0.02837732 0.15246248]

Ellipse area: 0.013592027350157463

Inverse area of the confidence ellipse: 231.13495674016562

Detailed results

Input parameters


- log : log/SO7_characterise_SGWB.c4.log
- config : config.yml
- subconfig : 
- duration : 4.5 yr
- duty_cycle : 0.89
- armlength : 2500000000.0 m
- noise : SciRDv1_redbook/instrumental_noise.npy
- show : False
- fast : 0
- tdi2 : 1
- freqs : [2e-05, 1]
- force_duration : 4.5_yr
- report : SciRDv1_redbook/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 : SciRDv1_redbook/gw_response_x.npy
- fom_type : inverse_ellipse_area
- fom_range : [29, 250, 2700]
- fom_objective : Detectability of the stochastic GW signal
- priors : SO7/parameter_priors.yaml
- fg_galactic : SciRDv1_redbook/sgwb_gb.npy
- fom_obj : Compute SNR of the power-law-type stochastic GW signal
- SGWB_parameters : [-12.45, 0]

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