EF with simple multi-particle states - PowerPoint PPT Presentation

About This Presentation
Title:

EF with simple multi-particle states

Description:

Since Eflow invariably involves associating clusters near an extrapolated track ... How to do this in a digital calorimeter ? Study this using charged pions ... – PowerPoint PPT presentation

Number of Views:22
Avg rating:3.0/5.0
Slides: 31
Provided by: vishnuv1
Learn more at: http://nicadd.niu.edu
Category:

less

Transcript and Presenter's Notes

Title: EF with simple multi-particle states


1
EF with simple multi-particle states
  • Vishnu V. Zutshi
  • NIU/NICADD

2
Hadron Position Resolution
  • Since Eflow invariably involves associating
    clusters near an extrapolated track
  • How to do this in a digital calorimeter ?
  • Study this using charged pions
  • Resolution is defined w.r.t. the MC extrapolated
    position

3
10 GeV charged pions
Energy weighted
unweighted
Density weighted
4
10 GeV charged pions
5
Density
  • Need a hierarchy in the absence of an energy
    measurement
  • Clumpiness of the surrounding
  • A simple-minded realization of this used here
  • di S (1/dRij) where dRij is the
    angular
  • distance between cell i and cell j

6
10 GeV p?
Thanks Ben
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer0.64cm2
Density weighted
7
10 GeV p?
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer4cm2
Density weighted
8
10 GeV p?
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer6cm2
Density weighted
9
10 GeV p?
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer9cm2
Density weighted
10
10 GeV p?
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer12cm2
Density weighted
11
10 GeV p?
unweighted
Measured relative to the energy weighted
resolutions
Cell area at first layer16cm2
Density weighted
12
2GeV Photons
maxima
maxima
maxima
13
Clustering
  • Local density maxima chosen as seed clusters
  • Membership of each cell in the seed clusters
    decided with a distance function
  • Calculate centroids
  • Iterate steps 2 and 3 till distortion is below
    some threshold

Could be unique or shared
14
Parameters
  • Cell thresholds
  • How many layers to lump together
  • Neighborhood for maxima search
  • Minimum no. of layers hit
  • Neighborhood for membership
  • Proto-cluster definition
  • Uniqueness of membership

15
10 GeV p0
Density weighted q-f
High asymmetry
16
10 GeV p0
Density weighted q-f
Medium asymmetry
17
10 GeV p0
Density weighted q-f
Low asymmetry
18
10 GeV p0
Density weighted q-f
Low asymmetry
19
10 GeV p0
Recon. energy
Recon. mass
18
20
10 GeV p0
Recon. energy
Recon. mass
21
Energy asymmetry
A abs(Eg1 Eg2)/(Eg1 Eg2)
22
S ? pp0
p
Density weighted q-f
p0
23
S ? pp0
p
Density weighted q-f
24
S ? pp0
Eflow
Cal only
E/Egen
25
S ? np
p
EMCal
n
HCal
p
26
S ? np
n
EMCal
p
HCal
27
S ? np
Not reliable due to noncompensation
recE (p)
genE (p)
28
S ? np
  • Get the e/pi for the SD detector
  • Scale the MC truth with that function
  • Take the ratio of the reconstructed pion energy
    with the scaled MC truth
  • This should have a mean of 1.0 (with an atrocious
    resolution) if things are working ok

29
S ? np
30
Summary/Outlook
  • A first pass clustering/track association
    algorithm exists applicable to EM/HAD, both
    analog/digital
  • Encouraging results for multiparticle events
  • More detailed study to expand and enhance (for
    instance particle id)
  • Move to jets
  • Feedback into calorimeter design
Write a Comment
User Comments (0)
About PowerShow.com