[Hps-analysis] HPS Analysis meeting March 5 @ 9am/noon PST/EST

[Maruyama, Takashi]

After hearing Matt S. talk on Machine Learning, I realized there is a big problem in MC production. To train Machine Learning, you need a huge statistics of MC sample, especially if you want to train in each mass bin. Furthermore, the MC sample should have beam-background overlaid;  it should be tritrig-wab-beam not tritrig-without-wab-beam.  A high statistics 1.05 GeV tritrig-wab-beam sample with roughly equivalent to 2015 data statistics was generated last year.  It took about 3 weeks to just generate wab-beam background and another week to generate tritrig-wab-beam recon files.  It required 50 TB to store wab-beam.SLIC files. Since there were no 50 TB space,  earlier wab-beam files were deleted as the tritrig-wab-beam recon files were completed.  Since 2016 run is higher energy and 4 times higher current, it will take more CPU time and need more disk space.  If we clean-up disk space, MC production with data equivalent statistics could be doable, but significantly higher statistics (10x data) is difficult.

Takashi     

-----Original Message-----
From: Hps-analysis [mailto:hps-analysis-bounces at jlab.org] On Behalf Of Graham, Mathew Thomas
Sent: Tuesday, March 05, 2019 5:55 AM
To: hps-analysis at jlab.org
Subject: [Hps-analysis] HPS Analysis meeting March 5 @ 9am/noon PST/EST


Hi All,  

Meeting today, here’re the details: 


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*	Meeting Rooms 

	*	JLAB: F228
	*	SLAC: Ballam


Agenda


*	Machine Learning in Vertexing Analysis – MattS
*	Relative SVT-ECal alignment in 2016 Data – Norman
*	Bugfixes in beamspot-constrained vertexing – MattG