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Feature #1839

4D KDE area calculation

Added by Snopok, Pavel about 8 years ago. Updated almost 8 years ago.

Status:
Open
Priority:
Normal
Assignee:
Start date:
14 April 2016
Due date:
% Done:

0%

Estimated time:

Description

Chris, here is the file containing two arrays: one for the US tracker reference plane, one for the DS tracker reference plane. To read it in:

=====
import numpy as np
data=np.load('KDE.npz')
u=data['USKDE']
d=data['DSKDE'] =====

The array itself has 6250000 rows (50x50x50x50 grid) and five columns: [x,y,px,py,density (predicted by KDE)]. I wonder if you could try your Delaunay triangulation algorithm on it. The upstream distribution should be convex, but not necessarily the downstream.


Files

KDE.npz (57.5 MB) KDE.npz Snopok, Pavel, 14 April 2016 05:01
content_calculation.tar.gz (16.6 KB) content_calculation.tar.gz Rogers, Chris, 20 April 2016 10:24
fig_8_1.pdf (64.2 KB) fig_8_1.pdf Rogers, Chris, 20 April 2016 10:24
fig_8_2.pdf (21.7 KB) fig_8_2.pdf Rogers, Chris, 20 April 2016 10:24
IPAC2016_Poster_TanazA.Mohayai.pdf (3.99 MB) IPAC2016_Poster_TanazA.Mohayai.pdf Rogers, Chris, 03 August 2016 09:19
analytical-kde-bias.zip (5.35 MB) analytical-kde-bias.zip Rogers, Chris, 08 September 2016 21:40

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