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@@ -63,9 +63,9 @@ To check the readiness of this pipeline for the analysis of O3 events.
 |[LALInferenceTemplate.c](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c) | [L74](https://git.ligo.org/nv.krishnendu/lalsuite/blob/eb5f2658c960ad689625c66c7df9e9373a4a27d6/lalinference/src/LALInferenceTemplate.c#L74) to [L76](https://git.ligo.org/nv.krishnendu/lalsuite/blob/eb5f2658c960ad689625c66c7df9e9373a4a27d6/lalinference/src/LALInferenceTemplate.c#L76)| Adding extra params for sampling |Abhirup & Anuradha G. |**Gupta**: looks good. <br> **Abhirup**: looks good.|
 |[LALInferenceTemplate.c](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c) |[L358](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L358) to [L408](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L408) [L857](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L857) to [L905](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L905) [L1461](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L1461) to [L1512](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceTemplate.c#L1512)|Following ways of sampling are introduced. <br>1. If one parameter is passed among the four dQuadMon parameters, one would be able to sample on dQuadMon1, dQuadMon2, dQuadMonS or dQuadMonA individually.  <br> 2. For the two parameter case, either dQuadMon1 and dQuadMon2 or dQuadMonS and dQuadMonA can be sampled. If any other combination is passed, sampling will be done on dQuadMon1 and dQuadMon2 (dafault option) with a warning message. <br> 3. If more than two prameters are passed, sampling will be done on dQuadMon1 and dQuadMon2 (dafault option) with a warning message. |Abhirup & Anuradha G. |**Gupta**:Same set of lines in three palces? Also, in your implimentation you assumed \kappa_a to be zero. That means you assumed both the stars to have same \kappa.  How this assumption biases the results, especially on real data? <br> **Abhirup**: <br> The three sets of lines are for definitions inside 3 separate functions: LALInferenceROQWrapperForXLALSimInspiralChooseFDWaveformSequence, LALInferenceTemplateXLALSimInspiralChooseWaveform and LALInferenceTemplateXLALSimInspiralChooseWaveformPhaseInterpolated. <br> Wouldn't it be easier to allow sampling over dQuadMonA and if required fix it to injection or any other value from the config.ini using --pin-params = [dQuadMonA] or --fix-dQuadMonA [**ACTION ITEM**: Create a more generalised framework where any (and at most) two parameters can be sampled over; there will be an error if more than two parameters are specified to be sampled over; parameters can be held fixed from the config.ini if required]<br> **Krishnendu**: This has been implimented|
 |[LALInferenceInitCBC.c](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceInitCBC.c) | [L2172](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceInitCBC.c#L2172) to [L2175](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceInitCBC.c#L2175)  [L2210](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceInitCBC.c#L2210) to [L2250](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/src/LALInferenceInitCBC.c#L2250)| Sampling options and warning (error) messages added inside the function `LALInferenceInitNonGRParams`| Abhirup & Anuradha G.| **Gupta**: L2172-L2179: Is prior till 20 large enough? L2214-L2218: looks good. <br> **Abhirup**: <br> 1. the current prior range excludes the space for boson stars <br>2.  tmpVal = 0, is at the default prior boundary <br> Perhaps making the prior more symmetric around zero addresses point 1 and keeps the starting value close to the middle of the prior. <br> **Krishnnendu**: <br> 1. The prior range has been increased to [-200, 200], but tmpVal = 0 is kept as it is.
-|[cbcBayesCompPos.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py)  | [L59](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py#L59) and [L71](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py#L71)| | Abhirup & Anuradha G.   |**Gupta**: Just \kappa_s is defined here, why not \kappa_1, \kappa_2, \kappa_a as in bayespputils.py? <br> **Abhirup**: Same question as Anuradha .**Krishnnendu**: <br> 1. All the four parameters are added.   |
-|[cbcBayesPPAnalysis.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesPPAnalysis.py) | [L88](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesPPAnalysis.py#L88)| | Abhirup & Anuradha G.|**Gupta**: \kappa_1 and \kappa_2 are also defined here but not \kappa_a. Is this because \kappa_a is always zero in your implimentation? But \kappa_a is defined in bayespputils.py, why? Also, there is a typo, dquadmon2-->dquadmon1. <br> **Abhirup**: Following up on Anuradha's comment, it would be good to keep the implementation as generalised as possible, which means, adding all four parameters in the post-processing codes, wherever possible. **Krishnnendu**: <br> 1. All the four parameters are added and typos are fixed. |
-|[bayespputils.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py) | [L148](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py#L148) and [L484](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py#L484)| |Abhirup & Anuradha G. |**Gupta**: looks good. <br> **Abhirup**: looks good.|
+|[cbcBayesCompPos.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py)  | [L59](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py#L59) and [L71](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesCompPos.py#L71)| `paramNameLatexMap` (convert parameter names to Latex), we define dQuadMon parameter as \delta\kappa <br> added to `clTableParams` (this is to add to the table of confidence levels)| Abhirup & Anuradha G.   |**Gupta**: Just \kappa_s is defined here, why not \kappa_1, \kappa_2, \kappa_a as in bayespputils.py? <br> **Abhirup**: Same question as Anuradha .**Krishnnendu**: <br> 1. All the four parameters are added.   |
+|[cbcBayesPPAnalysis.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesPPAnalysis.py) | [L88](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/cbcBayesPPAnalysis.py#L88)|Added all four parameters to the list of `posterior_name_to_latex_name` | Abhirup & Anuradha G.|**Gupta**: \kappa_1 and \kappa_2 are also defined here but not \kappa_a. Is this because \kappa_a is always zero in your implimentation? But \kappa_a is defined in bayespputils.py, why? Also, there is a typo, dquadmon2-->dquadmon1. <br> **Abhirup**: Following up on Anuradha's comment, it would be good to keep the implementation as generalised as possible, which means, adding all four parameters in the post-processing codes, wherever possible. **Krishnnendu**: <br> 1. All the four dQuadMon parameters are added and typos are fixed. |
+|[bayespputils.py](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py) | [L148](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py#L148) and [L484](https://git.ligo.org/nv.krishnendu/lalsuite/blob/Ks_21March2019/lalinference/python/lalinference/bayespputils.py#L484)| Created a list `spin_induced_quad_terms` and added this to `strongFieldParams` <br> Created corresponding plot labels inside `plot_label(param)` |Abhirup & Anuradha G. |**Gupta**: looks good. <br> **Abhirup**: looks good.|