... | @@ -166,24 +166,24 @@ Do we have any specific requests right now? |
... | @@ -166,24 +166,24 @@ Do we have any specific requests right now? |
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- Leo: try it in the MDC
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- Leo: try it in the MDC
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* Jolien: it is about a factor of ln(2)... https://github.com/scipy/scipy/blob/v1.9.3/scipy/signal/_spectral_py.py#L2019-L2044
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* Jolien: it is about a factor of ln(2)... https://github.com/scipy/scipy/blob/v1.9.3/scipy/signal/_spectral_py.py#L2019-L2044
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* jolien: slide 8: is this a bug that was there for a while? and sth should be done about that.
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* jolien: slide 8: is this a bug that was there for a while? and sth should be done about that.
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* Leo: hopeful that higher tolerance won’t harm the computation, but if so we need alternative approach.
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- Leo: hopeful that higher tolerance won’t harm the computation, but if so we need alternative approach.
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* Jolien: it’s only for the first few templates. Could solve with a slightly larger temp bank.
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- Jolien: it’s only for the first few templates. Could solve with a slightly larger temp bank.
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* chad: basic idea is the every time you take an SVD and truncate it the first and last few templates are reconstructed poorly. to work around this 15 years ago, we basically started to overlap the sub banks so that bad reconstructed templates are thrown away so that all templates are reconstructed nice. So the very first and very last handful of templates are bad. Victoria revealed that it happens more often and at the edges of the chi bins.
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- chad: basic idea is the every time you take an SVD and truncate it the first and last few templates are reconstructed poorly. to work around this 15 years ago, we basically started to overlap the sub banks so that bad reconstructed templates are thrown away so that all templates are reconstructed nice. So the very first and very last handful of templates are bad. Victoria revealed that it happens more often and at the edges of the chi bins.
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* jolien: it’s just that the very first sub bank doesn’t have an over lap.
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- jolien: it’s just that the very first sub bank doesn’t have an over lap.
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* Chad: Victoria found that this bad match is happening much more frequently.
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- Chad: Victoria found that this bad match is happening much more frequently.
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* Jolien: one option would be to discard the first couple of bad templates of the first sub banks.
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- Jolien: one option would be to discard the first couple of bad templates of the first sub banks.
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* Chad: I am 90% confident is that the right solution is to up the SVD tolerance such that we move toward not using overlaps. Fig 5 in https://arxiv.org/pdf/1107.2665 is the justification. Bad reconstruction would be not concerning than mismatch of the temp bank.
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- Chad: I am 90% confident is that the right solution is to up the SVD tolerance such that we move toward not using overlaps. Fig 5 in https://arxiv.org/pdf/1107.2665 is the justification. Bad reconstruction would be not concerning than mismatch of the temp bank.
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* Chad: with mu sorting, the computational increase in SVD shouldn’t be an issue. For the next MDC, go to 0.99999.
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- Chad: with mu sorting, the computational increase in SVD shouldn’t be an issue. For the next MDC, go to 0.99999.
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* Jolien: The other one is to not duplicate the templates in the first bin, and let them be removed....
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- Jolien: The other one is to not duplicate the templates in the first bin, and let them be removed....
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* Leo: sounds good to me
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- Leo: sounds good to me
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* Jolien: nice to see plot of histogram
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- Jolien: nice to see plot of histogram
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* Chad: Yun-Jing can make it
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- Chad: Yun-Jing can make it
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* Leo: I think Victoria is preparing time-doamin plots with the higher tolerance for review call
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- Leo: I think Victoria is preparing time-doamin plots with the higher tolerance for review call
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* Chad: oh good.
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- Chad: oh good.
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* Chad: bank_splitter is doing sth we didn’t intend to do.
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- Chad: bank_splitter is doing sth we didn’t intend to do.
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* Chad: overlap was implemented long ago when things weren’t developed as they are now.
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- Chad: overlap was implemented long ago when things weren’t developed as they are now.
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* Yun-Jing: https://ldas-jobs.ligo.caltech.edu/~yunjing.huang/phd/gwsci/mismatches9gstlalsvdbankinstalled.png
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- Yun-Jing: https://ldas-jobs.ligo.caltech.edu/~yunjing.huang/phd/gwsci/mismatches9gstlalsvdbankinstalled.png
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* Chad: this has a missing factor of 2, so the average really is just about bang on
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- Chad: this has a missing factor of 2, so the average really is just about bang on
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* AOB
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* AOB
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## Attendance:
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## Attendance:
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