Machine Learning EPD centrality
Attached to this blog are updates from George Halal.
The EPD presentation can be found at: drupal.star.bnl.gov/STAR/system/files/EPDMeeting_030518_GeorgeHalal.pdf
Looking at the derivative of the ANN tells us how sensitive a given row is to the impact parameter. A value of 0 means not sensitive, higher numbers indicate more sensitivity.
sqrt(S_NN) = 54 GeV:
Quarter wheel: drupal.star.bnl.gov/STAR/system/files/MLPDIn_QW54.0.pdf
Full EPD: drupal.star.bnl.gov/STAR/system/files/MLPDIn_54.0.pdf
sqrt(S_NN) = 19.6 GeV: drupal.star.bnl.gov/STAR/system/files/MLPDIn_19.6.pdf
sqrt(S_NN) = 14.5 GeV: drupal.star.bnl.gov/STAR/system/files/MLPDIn_14.5.pdf
sqrt(S_NN) = 11.5 GeV: drupal.star.bnl.gov/STAR/system/files/MLPDIn_11.5.pdf
sqrt(S_NN) = 7.7 GeV: drupal.star.bnl.gov/STAR/system/files/MLPDIn_7.7.pdf
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