Title: Energy Flow Technique and where I am
1Energy Flow Technique and where I am
Have been looking at the technique developed by
Mark Hodgkinson, Rob Duxfield of Sheffield. Here
is a summary. Last slide is RE hadronic W
reconstruction
2Current jet calibration schemes
- There are currently 2 calibration schemes use by
the jet group - The standard H1-style calibrates cells in jets
to the jet energy scale - Local hadron style calibrates cells to the
hadron scale- no correction in place yet. - In rel 12, local hadron weights are applied for
eflow. This results in an improvement in
linearity and a comparable sigma compared with
local hadron jets. - Improvement is expected to be less in r13 (better
local hadron jets) - H1 style calibration is currently better than
local hadron
Running eflow current situation
- In rel 12
- Need to run eflow on ESDs- cells in hadronic topo
clusters - Standard Jet finder is run on eflow objects
instead of caloclusters or towers - Can run on ESD in RecExCommon with
eflowJobOptions to create AOD containing eflow
jet collections, I.e - Eflow4ConeParticleJets - Cone
0.4 with eflow objects as input - In rel 13, should be able to just run
eflowJoboptions on AOD as part of analysis job
3What is it good for?
At low Pt (lt140GeV) the Inner Detector has
significantly better resolution than the
calorimeters, so tracking can be used to improve
jet resolution
Can also use E(calo)/P(track) to check
calorimeter calibration.
How does it work?
- Cluster-level method (simple way)
- Match tracks to clusters
- For lowish Pt use energy measurement from track
to get expected energy deposit in calorimeter
Eexp and sigma (Eexp) - Ecalo - Eexp Eunexpected
- Compare Eunexpected with sigma(Eexp) which is
sigma(Ecalo) and possibly away cluster
ATLAS TDR SINGLE PIONS, ETA0
4How does it work?
- Cell-level method (complex way)
- Devise an ordering method to remove cells using
Monte Carlo - Use this method to remove cells until Ecalo -
Eexp - Use cell-based weights to calibrate remaining
cluster energy
Weighted mean energy density for all cells in
layer
Notes
- Tracks must have gt1 pixel hit
- Separate electrons from pions using the ratio of
TRT hits (number of high threshold hits)/(number
of total hits). Electrons have mean ratio 2.5,
pions 0.7 -
5More detail- Cell based method
- Cells are classified by (a) calorimeter region
and (b) distance from track axis - Compare energy distribution relative to track
axis with that of Monte Carlo (single pions) - Extrapolate track axis to form shower axis in
calorimeter - Look at a very small region around track axis
(comparable with error on track extrapolation) - Weight cells around track axis according to their
distance from the axis - Descriptive plots courtesy of Rob Duxfield on
following slides
6More detail- Cell based method
The following plots show a cluster formed by a
neutron and pion overlapping, and the pion has
been identified as having first interaction in
the 2nd layer of the LAr calorimeter
Plots are Energy density in eta-phi space
7More detail- Cell based method
The energy of the cluster is subtracted,
beginning with the EM core and continuing ordered
in energy density, until the subtracted energy
expected energy from tracking.
Plots are Energy density in eta-phi space
8More detail- Cell based method
The remaining cluster, with its heart removed, is
discarded. .
SUM-UP Calo Energy is replaced with Track Energy
9Does it work?
Sigma0.1775/-0.0072
10Does it work?
Sigma0.1775/-0.0072 Sigma0.1625/-0.0062
11Does it work?
Sigma 0.1775/-0.0072 Sigma
0.1625/-0.0062 Sigma 0.1382/-0.0051
YES
this is all for rel 11 with local hadron cell
weights
12Latest results
Barcelona workshop J1 sample okay, but J2 sample
had worse sigma with eflow jets than with H1
topocluster jets..
- Problem found to be due to
- Double counting effect-gt too much energy in
reconstructed jets. - Introduced new parameter
- If Ecluster lt(Eexpected-(k2 sigmaexpected)) the
use cluster energy, NOT track energy - E/P must used cluster which is matched contains
95 of Energy in 0.4 cone around track
13More Information
- All the information in these slides was gathered
from talks given by Mark Hodgkinson and Rob
Duxfield from Sheffield, and from very helpful
emails from Mark Hodgkinson. - The talks are attached to the UCLttH wiki page
- Cell based method RD_eflow_dec05
- Latest Results MH_14-03-07
- Everything else go to Indico jetEtMiss page and
search for Mark Hodgkinson
Jobs for Lily
- Practise eflow using any old ESD sample at UCL
- Make 12.0.6 HG5 0570,0571 ESDs using panda as
they dont currently exist. (As far as I can
tell) - Orhow long until we get rel 13 standard
production datsets?
14More Stuff Im doing now
- Our reconstruction of the hadronic W
- Currently wjjTool defines correctly reconstructed
W if - Two combined light jets have mass within 30GeV of
W mass - Both these jets have a W as their parent
- My problems and worries
- Found that matching these reco correct Ws to
gen Ws (as I did for plots shown last week) was
producing a lot of events where the reco W
clearly does not correspond to the gen W
Have put in WdR match, indexing and playing with
GenParticle iterator . Can we check for certain
that the two light jets come from the same W ?