O3b-analysis.md

@@ -43,7 +43,7 @@ The test has been performed using a LALInference based code, and the details of
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 | 1. | [events_selection_o3b_new.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/PE_o3b/events_selection_o3b_new.ipynb) | sayantani.datta| Notebook adapted from [here](https://git.ligo.org/publications/O3/o3b-cbc-tgr/-/blob/master/scripts/PE/events_snr.ipynb) with  git hash:`e5ef6b6e17de7a2e4156087fd1e5038937929a32`. The diff file with the modified version can be found here on CIT:`/home/sayantani.datta/repos/o3siqm-updates/o3b/scripts/PE_o3b/diff_o3b_selection_OG_mod.txt`. Since SIQM tests work better for spinning systems, a selection criteria is added which checks if chi_eff posteriors exclude zero at least at 68% CI. This is for o3b events. | | Run these notebook on CIT within any suitable conda env like `igwn-py38-20210107` |Anuradha :heavy_check_mark: (aedc4806713205e225f0eb3b4c3fcdb570350768)  <br> Aditya :heavy_check_mark: (aedc4806713205e225f0eb3b4c3fcdb570350768) |
 | 2. | [event_selection_o3a.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/event_selection_o3a.py) | sayantani.datta| Inspiral SNR calculation section is adapted from [here](https://git.ligo.org/publications/O3/o3a-cbc-tgr/-/blob/master/notebooks/Event_Selection_Optimal_SNR.ipynb). Since SIQM tests work better for spinning systems, a selection criteria is added which checks if chi_eff posteriors exclude zero at 95%/68% credible levels. This is for o3a events.  | Archisman: Script looks good. Need to check that the events listed below line 234 are indeed the ones which do not satisfy the iFAR criterion. | Run these notebook on CIT within any suitable conda env like `igwn-py38-20210107` | Aditya :heavy_check_mark: (b5bc0d054068a9e0f16962111c6f80eeaaa26622)  <br> Archisman :heavy_check_mark: |
-| 3. | [event_selection_o1o2.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/event_selection_o1o2.ipynb) | divyajyoti.nln | Events have been selected from the list used in O3a analysis ([Table2A](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3a-Spin-Quadrupole-BH-mimicker-test-results/o3a-review-report/#table-2a-list-of-events-from-o1o2-for-all-these-cases-psd-is-fixed-to-the-one-given-in-the-base-config-file)). Since SIQM tests work better for spinning systems, a selection criteria is added which checks if chi_eff posteriors exclude zero at 95%/68% credible levels. This is for o1o2 events.  |  | Run these notebook on CIT within any suitable conda env like `igwn-py38-20210107` | Aditya :heavy_check_mark: (9b34fb4f5a0d992d90cf54923090ff8a11dc5068) <br> Archisman |
+| 3. | [event_selection_o1o2.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/event_selection_o1o2.ipynb) | divyajyoti.nln | Events have been selected from the list used in O3a analysis ([Table2A](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3a-Spin-Quadrupole-BH-mimicker-test-results/o3a-review-report/#table-2a-list-of-events-from-o1o2-for-all-these-cases-psd-is-fixed-to-the-one-given-in-the-base-config-file)). Since SIQM tests work better for spinning systems, a selection criteria is added which checks if chi_eff posteriors exclude zero at 95%/68% credible levels. This is for o1o2 events.  |  | Run these notebook on CIT within any suitable conda env like `igwn-py38-20210107` | Aditya :heavy_check_mark: (9b34fb4f5a0d992d90cf54923090ff8a11dc5068) <br> Archisman :heavy_check_mark: (9b34fb4f) |
 
 ### Config and PE sample checks