... | ... | @@ -49,7 +49,7 @@ |
|
|
|
|
|
| Tasks| Status |
|
|
|
|---|---|
|
|
|
| Output of `LALInferencedQuadMonSdQuadMonA` function|:x: |
|
|
|
| Output of `LALInferencedQuadMonSdQuadMonA` function|:white_check_mark: |
|
|
|
|
|
|
We use the following python script to check the output of the `LALInferencedQuadMonSdQuadMonA` function. We generate samples from a distribution uniform in dQuadMonS and dQuadMonA, and plot the scatter of the corresponding dQuadMon1, dQuadMon2 values.
|
|
|
|
... | ... | @@ -77,7 +77,7 @@ plt.ylabel('$\delta \kappa _A$') |
|
|
| | Tasks| Status |
|
|
|
|---|---|---|
|
|
|
| 1. | Priors on all 4 non-GR parameters |:x:|
|
|
|
| 2. | fix-params should fix the posterior at tmp-value |:x: |
|
|
|
| 2. | fix-params should fix the posterior at tmp-value |:white_check_mark: |
|
|
|
| 3. | `fprintf(stdout,"Both options (from 12 and SA) are given . . Exiting . .\n");` | :white_check_mark: |
|
|
|
| 4. | `fprintf(stdout,"Only one option (from 12 and SA) is given . . Working fine . .\n");` | :white_check_mark:|
|
|
|
| 5. | `fprintf(stdout,"Both dQuadMonS and dQaudMonA are sampled");` | :white_check_mark: |
|
... | ... | |