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## Attendance
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Jan, Deirdre, Soumen, Sayantani, Parthapratim, Poulomi, Saleem, Sathya, Arun and Ish
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## Agenda
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## Minutes
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- Minute taker: Ish
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- Minutes from last call: [link](https://git.ligo.org/sayantani.datta/pca_tgr/-/wikis/June%2030,%202023)
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Sayantani- Ran into some troubles with the GR injections, so showing the non-GR results right now.
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Combining non-GR injections- Restricted
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Ish- In the plot, phi_cap_PCA_6 gives a value other than 0. Is that okay?
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- Sayantani- Since most of the information is contained in the first two parameters and all the noise is dumped into the latter. So, we should not even look at these parameters.
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Combining non-GR injections- Heirarchial
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Arun- How close is the obtained Gaussian distribution with the injected one?
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- Sayatani- The mu parameter will not have a meaning for a power-law distribution, but sigma seems to be consistent with what is expected.
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Sathya- It is interesting that while all the injected deviation parameters are +ve, when you construct the PCA parameters, some of them are +ve and some are -ve. But we don't see a trend (right now). Need to dig deeper into this.
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- Jan- Completely fine in principle, as PCA parameters are just linear transformations.
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## Action items
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1. Need to explain the positive and negative-ness of the PCA parameters. |
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