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**This is the dedicated page for O3-b spin-induced quadrupole moment analysis**
# Details of O3a-analysis [wiki-page](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3a-analysis)
# Review statement
**Reviewers:** @aditya.vijaykumar, @anuradha.gupta, @archisman-ghosh
We have satisfactorily concluded a review of the results of the *spin-induced-quadrupole-moment-test* for 6 events from O3b. We select events based on two criteria. (a) The inspiral only SNR is greater than or equal to 6, and (b) The effective spin parameter posteriors exclude zero at 68% credible interval. The events are listed below (and are signed off with black check marks). S200115j has not been considered for this test as this is an NSBH binary candidate and we currently do not have reliable studies on testing the BBH nature of NSBH candidates.
We have satisfactorily concluded a review of the results of the _spin-induced-quadrupole-moment-test_ for 6 events from O3b. We select events based on two criteria. (a) The inspiral only SNR is greater than or equal to 6, and (b) The effective spin parameter posteriors exclude zero at 68% credible interval. The events are listed below (and are signed off with black check marks). S200115j has not been considered for this test as this is an NSBH binary candidate and we currently do not have reliable studies on testing the BBH nature of NSBH candidates.
The test has been performed using a LALInference based code, and the details of code and its review can be found on [this page](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/Home). For all events, the IMRPhenomPv2 waveform has been used as a baseline model. This is contrary to the waveform models used for the Production PE and other tests which used waveforms that include higher modes. The results for each event we signed off are consistent with GR as expected. The spin-induced quadrupole moment parameter occasionally rails against the prior bounds, particularly for the less-constraining events -- this is a generic feature also seen in the injections. Correlations between the various parameters are consistent with what has been observed in injection studies. We also note caveats associated with events **S191216ap** and **S191129u** where we see bimodality in the posterior of some parameters. While bimodality can be attributed to the lack of higher modes in the baseline waveform model it may need further investigation.
# O3b-analysis
## Details of O3b-TGR paper SIQM analysis:
* These events satisfy the inspiral-SNR>6 and non-zero chi_eff criteria.
* These events satisfy the inspiral-SNR>6 and non-zero chi_eff criteria.
| No. | Name | sampler | Results | dir | Contact | Remarks/status | Config review status | Results review status |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
|1.| [S191129u](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191129u) | lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S191129u` | Krishnnedu/sayantani.datta | Final results available | Anuradha :heavy_check_mark: <br> Archisman :heavy_check_mark: |Anuradha :heavy_check_mark: <br> Archisman :heavy_check_mark: |
|2. | [S191204r](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191204r) | lalinferencenest| | /home/divyajyoti.nln/SIQM-O3b/C01/S191204r | divyajyoti.nln | Final results available | Aditya :heavy_check_mark: <br> Anuradha :heavy_check_mark: |Aditya :heavy_check_mark: <br> Anuradha :heavy_check_mark:
|3. | [S191216ap](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191216ap)| lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S191216ap` | sayantani.datta | Final results available. |Anuradha :heavy_check_mark: <br> Archisman :heavy_check_mark: |Anuradha :heavy_check_mark: <br> Archisman :heavy_check_mark:
|4. | [S200129m](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200129m) | lalinferencenest | | /home/divyajyoti.nln/SIQM-O3b/C01/S200129m | divyajyoti.nln | Final results available | Archisman :heavy_check_mark: <br> Anuradha :heavy_check_mark:|Archisman :heavy_check_mark: <br> Anuradha :heavy_check_mark:
|5. | [S200225q](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200225q) |lalinferencenest| |`CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S200225q` | Krishnnedu/sayantani.datta | Final results available |Aditya :heavy_check_mark: <br> Archisman :heavy_check_mark: |Aditya :heavy_check_mark: <br> Archisman :heavy_check_mark:
|6. | [S200316bj](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200316bj)| lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S200316bj` | Krishnnedu/sayantani.datta | Preliminary Prod2 results available.| Anuradha :heavy_check_mark: <br> Aditya :heavy_check_mark:|Anuradha :heavy_check_mark: <br> Aditya :heavy_check_mark:
|7. | [S200115j](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200115j) | lalinferencenest | | /home/divyajyoti.nln/SIQM-O3b/C01/S200115j | divyajyoti.nln, nv.krishnendu | Removed from analyses for O3b paper |Archisman :heavy_multiplication_x: <br> Aditya :heavy_multiplication_x: |
|-----|------|---------|---------|-----|---------|----------------|----------------------|-----------------------|
| 1. | [S191129u](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191129u) | lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S191129u` | Krishnnedu/sayantani.datta | Final results available | Anuradha :heavy_check_mark: \
Archisman :heavy_check_mark: | Anuradha :heavy_check_mark: \
Archisman :heavy_check_mark: |
| 2. | [S191204r](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191204r) | lalinferencenest | | /home/divyajyoti.nln/SIQM-O3b/C01/S191204r | divyajyoti.nln | Final results available | Aditya :heavy_check_mark: \
Anuradha :heavy_check_mark: | Aditya :heavy_check_mark: \
Anuradha :heavy_check_mark: |
| 3. | [S191216ap](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S191216ap) | lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S191216ap` | sayantani.datta | Final results available. | Anuradha :heavy_check_mark: \
Archisman :heavy_check_mark: | Anuradha :heavy_check_mark: \
Archisman :heavy_check_mark: |
| 4. | [S200129m](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200129m) | lalinferencenest | | /home/divyajyoti.nln/SIQM-O3b/C01/S200129m | divyajyoti.nln | Final results available | Archisman :heavy_check_mark: \
Anuradha :heavy_check_mark: | Archisman :heavy_check_mark: \
Anuradha :heavy_check_mark: |
| 5. | [S200225q](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200225q) | lalinferencenest | | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S200225q` | Krishnnedu/sayantani.datta | Final results available | Aditya :heavy_check_mark: \
Archisman :heavy_check_mark: | Aditya :heavy_check_mark: \
Archisman :heavy_check_mark: |
| 6. | [S200316bj](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200316bj) | lalinferencenest | - | `CIT:/home/sayantani.datta/LSC/lalinference/O3/o3_b_tgr/sim/S200316bj` | Krishnnedu/sayantani.datta | Preliminary Prod2 results available. | Anuradha :heavy_check_mark: \
Aditya :heavy_check_mark: | Anuradha :heavy_check_mark: \
Aditya :heavy_check_mark: |
| 7. | [S200115j](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200115j) | lalinferencenest | | /home/divyajyoti.nln/SIQM-O3b/C01/S200115j | divyajyoti.nln, nv.krishnendu | Removed from analyses for O3b paper | Archisman :heavy_multiplication_x: \
Aditya :heavy_multiplication_x: | |
### [Md5sum outputs](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/md5sums-of-release-and-results-files)
### Our current action items are [here](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/Action-Items)
## Scripts used
### Event selection
| No. | Name | Contact | Short explanation | Comments from the reviewer | Usage | Reviewers |
| --- | --- | --- | --- | --- |---|---|
| 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 :heavy_check_mark: (9b34fb4f) |
|-----|------|---------|-------------------|----------------------------|-------|-----------|
| 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) \
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) \
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) \
Archisman :heavy_check_mark: (9b34fb4f) |
### Config and PE sample checks
| No. | Name | Contact | Short explanation | Comments from the reviewer | Usage | Reviewers |
| --- | --- | --- | --- | --- |---|---|
| 1. | [LOGIC_edited.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/LOGIC_edited.py) | divyajyoti.nln | The script checks the config files between PE ROTA and TGR runs. | | 1. Activate the environment (eg. igwn-py37)<br/> <br/> 2. Run `python LOGIC_edited.py --baseline-config base_config.ini --derivative-config bh_config.ini > /path/to/event/logic_bbh.txt` |Aditya :heavy_check_mark: (101090ec586ec130bb9fe3bf405ff016955778ac) <br> Anuradha :heavy_check_mark: (101090ec586ec130bb9fe3bf405ff016955778ac) |
| 2. | [LAPLACE_edited.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/LAPLACE_edited.py) | divyajyoti.nln | The script checks the prior railing. | Archisman: Script looks fine. It would be goof to link off the diff w.r.t the original LAPLACE.py. | 1. Activate the environment (eg. igwn-py37)<br/> <br/> 2. Run `python LAPLACE_edited.py --posterior file.hdf5 > laplace_bbh.txt`<br/> <br/> 3. To check the GR run (whether the results are consistent with GR or not): `python LAPLACE_edited.py --posterior file.hdf5 --GR-check > laplace_ks_sym.txt`<br/> <br/> 4. There are additional functionalities also like providing extra parameters, changing credible intervals, etc. To know those, run `python LAPLACE_edited.py --help` | Anuradha :heavy_check_mark: (d4ead8c5fed8bd9fde6a8ab5f7c5078056bcc895) <br> Archisman :heavy_check_mark: |
|-----|------|---------|-------------------|----------------------------|-------|-----------|
| 1. | [LOGIC_edited.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/LOGIC_edited.py) | divyajyoti.nln | The script checks the config files between PE ROTA and TGR runs. | | 1. Activate the environment (eg. igwn-py37)\
\
2\. Run `python LOGIC_edited.py --baseline-config base_config.ini --derivative-config bh_config.ini > /path/to/event/logic_bbh.txt` | Aditya :heavy_check_mark: (101090ec586ec130bb9fe3bf405ff016955778ac) \
Anuradha :heavy_check_mark: (101090ec586ec130bb9fe3bf405ff016955778ac) |
| 2. | [LAPLACE_edited.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/LAPLACE_edited.py) | divyajyoti.nln | The script checks the prior railing. | Archisman: Script looks fine. It would be goof to link off the diff w.r.t the original LAPLACE.py. | 1. Activate the environment (eg. igwn-py37)\
\
2\. Run `python LAPLACE_edited.py --posterior file.hdf5 > laplace_bbh.txt`\
\
3\. To check the GR run (whether the results are consistent with GR or not): `python LAPLACE_edited.py --posterior file.hdf5 --GR-check > laplace_ks_sym.txt`\
\
4\. There are additional functionalities also like providing extra parameters, changing credible intervals, etc. To know those, run `python LAPLACE_edited.py --help` | Anuradha :heavy_check_mark: (d4ead8c5fed8bd9fde6a8ab5f7c5078056bcc895) \
Archisman :heavy_check_mark: |
### Post-processing scripts: data, macros and plots
| No. | Name | Contact | Short explanation | Comments from the reviewer | Usage | Reviewers |
| --- | --- | --- | --- | --- |---|---|
|1. | [simplot.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/simplot.ipynb) | Krishnendu|Script to plot dkappa_s for individual events(o3b) and combined plot(o1+o2+o3a+o3b) | Archisman: Script looks fine. For the combined posterior, need to make sure that number of bins (1000) is appropriate. Looks okay on the plot. | Run it on `LHO`. |Archisman :heavy_check_mark: <br> Aditya :heavy_check_mark: (225d9f8e9465ab6456506786718d263a32f7581f)|
|2. | [sym_stat_table.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/sym_stat_table.ipynb) | Krishnendu| To make the statistical summary table below ||Run it on `CIT` |Archisman :heavy_check_mark: <br> Anuradha :heavy_check_mark: (cee90dbe6b067e674fb29da886d1fa2291cd52dc)|
|3. | [summary_bbh.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/summary_bbh.py)| divyajyoti.nln | The scripts create PESummary pages for bbh and ks respectively | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate /home/nv.krishnendu/.conda/envs/lalsuite-v6.67-siqm_rebase-cvmfs`<br/> 2. Run with python | Archisman :heavy_check_mark: <br> Aditya :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3)|
|4. | [summary_ks_sym.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/summary_ks_sym.py) | divyajyoti.nln | The scripts create PESummary pages for bbh and ks respectively |Anuradha: 1. Remove the commented lines and maybe some print statements. <be> 2. There is only one event listed. Please list all the `events`, `Prod_nums`, and , `run_nums` so that we can cross-check against the reviewed ones. | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate /home/nv.krishnendu/.conda/envs/lalsuite-v6.67-siqm_rebase-cvmfs`<br/> 2. Run with python | Anuradha :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3) <br> Aditya :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3)|
|-----|------|---------|-------------------|----------------------------|-------|-----------|
| 1. | [simplot.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/simplot.ipynb) | Krishnendu | Script to plot dkappa_s for individual events(o3b) and combined plot(o1+o2+o3a+o3b) | Archisman: Script looks fine. For the combined posterior, need to make sure that number of bins (1000) is appropriate. Looks okay on the plot. | Run it on `LHO`. | Archisman :heavy_check_mark: \
Aditya :heavy_check_mark: (225d9f8e9465ab6456506786718d263a32f7581f) |
| 2. | [sym_stat_table.ipynb](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/sym_stat_table.ipynb) | Krishnendu | To make the statistical summary table below | | Run it on `CIT` | Archisman :heavy_check_mark: \
Anuradha :heavy_check_mark: (cee90dbe6b067e674fb29da886d1fa2291cd52dc) |
| 3. | [summary_bbh.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/summary_bbh.py) | divyajyoti.nln | The scripts create PESummary pages for bbh and ks respectively | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate /home/nv.krishnendu/.conda/envs/lalsuite-v6.67-siqm_rebase-cvmfs`\
2\. Run with python | Archisman :heavy_check_mark: \
Aditya :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3) |
| 4. | [summary_ks_sym.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/summary_ks_sym.py) | divyajyoti.nln | The scripts create PESummary pages for bbh and ks respectively | Anuradha: 1. Remove the commented lines and maybe some print statements. 2. There is only one event listed. Please list all the `events`, `Prod_nums`, and , `run_nums` so that we can cross-check against the reviewed ones. | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate /home/nv.krishnendu/.conda/envs/lalsuite-v6.67-siqm_rebase-cvmfs`\
2\. Run with python | Anuradha :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3) \
Aditya :heavy_check_mark: (c5d260a4646a6c8927b3dca3a0561e5bbab6e8e3) |
### Scripts for data release
| No. | Name | Contact | Short explanation | Comments from the reviewer | Usage | Reviewers |
| --- | --- | --- | --- | --- |---|---|
|1. | [create_samples_all.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/create_samples_all.py) | divyajyoti.nln | Creates PESummary pages for all runs and stores them at /home/tgr.o3/o3b-tgr/results/sim/o3b | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate igwn-py38` 2. Run with python | Aditya :heavy_check_mark: (ca1594207cdf1c923d299f10a11851a8b9a75484) : <br> Anuradha :heavy_check_mark: (ca1594207cdf1c923d299f10a11851a8b9a75484)|
|2. | [upload_to_data_release.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/upload_to_data_release.py) | divyajyoti.nln | Copies the final samples into the data release directory in CIT: `/home/tgr.o3/o3b-tgr/results/sim/` | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate igwn-py38` 2. Run with python | Archisman :heavy_check_mark: <br> Anuradha :heavy_check_mark: (8329e4d437dc882afacd078efa4bbc7188aaab34)|
|2. | [pull_data_updated.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/pull_data_updated.py) | Krishnendu| Creates release ready samples *.dat.gz at /home/tgr.o3/o3b-tgr/release/sim/{EVENTS} for all events from taking samples from /home/tgr.o3/o3b-tgr/results/sim/o3b | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate igwn-py38` 2. Run with python | Archisman: :heavy_check_mark: (4162c84e) <br> Anuradha: :x:|
|3. | [get_o1o2o3a_events.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/get_o1o2o3a_events.py) | Krishnendu| Take *.dat.gz samples of o1o2o3a events from the release repo and update /home/tgr.o3/o3b-tgr/results/sim/{EVENTS} | Archisman: The link to the script seems incorrect. | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`<br/> `conda activate igwn-py38` 2. Run with python | Archisman: :heavy_check_mark: (60d6a600) (e7daefe0) <br> Anuradha: :heavy_check_mark: (e7daefe0b3e3b9e2afdd3a714d6a21d987db8554)|
|-----|------|---------|-------------------|----------------------------|-------|-----------|
| 1. | [create_samples_all.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/create_samples_all.py) | divyajyoti.nln | Creates PESummary pages for all runs and stores them at /home/tgr.o3/o3b-tgr/results/sim/o3b | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate igwn-py38` 2. Run with python | Aditya :heavy_check_mark: (ca1594207cdf1c923d299f10a11851a8b9a75484) : \
Anuradha :heavy_check_mark: (ca1594207cdf1c923d299f10a11851a8b9a75484) |
| 2. | [upload_to_data_release.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/upload_to_data_release.py) | divyajyoti.nln | Copies the final samples into the data release directory in CIT: `/home/tgr.o3/o3b-tgr/results/sim/` | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate igwn-py38` 2. Run with python | Archisman :heavy_check_mark: \
Anuradha :heavy_check_mark: (8329e4d437dc882afacd078efa4bbc7188aaab34) |
| 2. | [pull_data_updated.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/pull_data_updated.py) | Krishnendu | Creates release ready samples \*.dat.gz at /home/tgr.o3/o3b-tgr/release/sim/{EVENTS} for all events from taking samples from /home/tgr.o3/o3b-tgr/results/sim/o3b | | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate igwn-py38` 2. Run with python | Archisman: :heavy_check_mark: (4162c84e) \
Anuradha: :x: |
| 3. | [get_o1o2o3a_events.py](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/get_o1o2o3a_events.py) | Krishnendu | Take \*.dat.gz samples of o1o2o3a events from the release repo and update /home/tgr.o3/o3b-tgr/results/sim/{EVENTS} | Archisman: The link to the script seems incorrect. | 1. Activate conda env on CIT: `source /cvmfs/oasis.opensciencegrid.org/ligo/sw/conda/etc/profile.d/conda.sh`\
`conda activate igwn-py38` 2. Run with python | Archisman: :heavy_check_mark: ~~(60d6a600)~~ (e7daefe0) \
Anuradha: :heavy_check_mark: (e7daefe0b3e3b9e2afdd3a714d6a21d987db8554) |
## O3b data release details: [wiki link](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-data-release)
## Summary table:
* contact: sayantani.datta
* contact: sayantani.datta
* Calculated using [this](https://git.ligo.org/muhammed.saleem/o3siqm-updates/-/blob/master/o3b/scripts/sym_stat_table.ipynb) script.
* Below showed are median values of different parameters.
* Waveform used: IMRPhenomPv2
| |$D_L$ |$M_z$ |$q$ |$\chi_{eff}$ |$a_1$ |$a_2$ |$\delta\kappa_s$ |90% sym. CI of $\delta\kappa_s$ |Q |$ln\frac{BF_{bbh}}{BF_{sym}}$ |
|------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ |
| S191204r | 609.41 | 22.869 | 0.653 | 0.162 | 0.403 | 0.447 | -46.316 | [-448.56, 3.11] | 0.9180302641703001 | 3.1199999999999903 |
| S191216ap | 360.566 | 20.845 | 0.718 | 0.083 | 0.329 | 0.388 | -36.425 | [-373.63, 26.73] | 0.7185706833594158 | 2.259999999999991 |
| S200129m | 855.489 | 75.366 | 0.714 | 0.115 | 0.526 | 0.473 | -37.562 | [-307.09, 144.45] | 0.8214685650295953 | 1.0400000000000205 |
| S200225q | 1118.815 | 41.258 | 0.729 | -0.124 | 0.47 | 0.511 | -133.037 | [-448.63, 40.18] | 0.9249447930941179 | 0.6199999999999974 |
| S200316bj | 1286.877 | 25.436 | 0.607 | 0.111 | 0.456 | 0.445 | -106.165 | [-449.19, 73.08] | 0.8405201212931078 | 1.3599999999999994 |
| | $D_L$ | $M_z$ | $q$ | $\\chi_{eff}$ | $a_1$ | $a_2$ | $\\delta\\kappa_s$ | 90% sym. CI of $\\delta\\kappa_s$ | Q | $ln\\frac{BF_{bbh}}{BF_{sym}}$ |
|--|-------|-------|-----|---------------|-------|-------|--------------------|-----------------------------------|---|--------------------------------|
| S191204r | 609.41 | 22.869 | 0.653 | 0.162 | 0.403 | 0.447 | -46.316 | \[-448.56, 3.11\] | 0.9180302641703001 | 3.1199999999999903 |
| S191216ap | 360.566 | 20.845 | 0.718 | 0.083 | 0.329 | 0.388 | -36.425 | \[-373.63, 26.73\] | 0.7185706833594158 | 2.259999999999991 |
| S200129m | 855.489 | 75.366 | 0.714 | 0.115 | 0.526 | 0.473 | -37.562 | \[-307.09, 144.45\] | 0.8214685650295953 | 1.0400000000000205 |
| S200225q | 1118.815 | 41.258 | 0.729 | -0.124 | 0.47 | 0.511 | -133.037 | \[-448.63, 40.18\] | 0.9249447930941179 | 0.6199999999999974 |
| S200316bj | 1286.877 | 25.436 | 0.607 | 0.111 | 0.456 | 0.445 | -106.165 | \[-449.19, 73.08\] | 0.8405201212931078 | 1.3599999999999994 |
* Not to self: Merge the stat-table notebook and SNR notebook.
# [ReviewReport](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/ReviewReport)
# Previous studies
### Exceptional events:
* Dedicated page for [S200115j](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200115j)
* Dedicated page for [S200105ae](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/O3b-analysis/S200105ae)
* Other details
| No. | NAME | PE Summary | Results page (status of the run) | Comments |
|---| --- | -- | -- | ---|
|1 | S200115j | [S200115j](https://git.ligo.org/pe/O3/S200115j) |<br> CIT: /home/nv.krishnendu/o3-b/S200115j/ks_sym| <br> [cbc presentation](https://docs.google.com/presentation/d/1-yFCX9kEjKBAkSSQ2RIPrU0HSEHEGim42_tWltRjQI4/edit?skip_itp2_check=true#slide=id.g86f55c2816_1_0) |
|2 | S200105ae | [S200105ae](https://git.ligo.org/pe/O3/S200105ae) |<br> CIT: /home/nv.krishnendu/o3-b/S200105ae/ks_sym| <br> [cbc presentation](https://docs.google.com/presentation/d/1-yFCX9kEjKBAkSSQ2RIPrU0HSEHEGim42_tWltRjQI4/edit?skip_itp2_check=true#slide=id.g86f55c2816_1_0) |
\ No newline at end of file
|-----|------|------------|----------------------------------|----------|
| 1 | S200115j | [S200115j](https://git.ligo.org/pe/O3/S200115j) | \
CIT: /home/nv.krishnendu/o3-b/S200115j/ks_sym | \
[cbc presentation](https://docs.google.com/presentation/d/1-yFCX9kEjKBAkSSQ2RIPrU0HSEHEGim42_tWltRjQI4/edit?skip_itp2_check=true#slide=id.g86f55c2816_1_0) |
| 2 | S200105ae | [S200105ae](https://git.ligo.org/pe/O3/S200105ae) | \
CIT: /home/nv.krishnendu/o3-b/S200105ae/ks_sym | \
[cbc presentation](https://docs.google.com/presentation/d/1-yFCX9kEjKBAkSSQ2RIPrU0HSEHEGim42_tWltRjQI4/edit?skip_itp2_check=true#slide=id.g86f55c2816_1_0) |