1. Dual Readout Clustering and Jet Finding
Dual Readout Calorimeter [in SiD02 Shell]
DR ECAL DR HCAL
3 cm x 3 cm x 3 cm BGO cm x 6 cm x 6 cm BGO
8 layers – 21.4 X0 (1.1 I) layers – 4.6 I
127 cm IR – 151 cm OR cm IR – 253 cm OR
Scin/Ceren analog hits Scin/Ceren analog hits
S.R. Magill - ANL

2. Dual Readout Detector Geometry
255 cm
151 cm
Muon Chambers – 11 layers
HCAL – 17 layers
127 cm
ECAL – 8 layers
S.R. Magill - ANL

3. Scintillator Collections
Muons
Cerenkov Collections
Scintillator Collections
Cerenkov EM,HAD
Edep_HcalBarrHits
Ceren_HcalBarrHits
mips
Deltas
Ceren_EcalBarrHits
Edep_EcalBarrHits
DigiSim - ½ mip threshold, 50 ns timing cut
Scintillator EM,HAD
dE/dx ~ 27 MeV
3 cm of BGO
Ceren_HcalBarrDigiHits
Edep_HcalBarrDigiHits
mips
Deltas
Ceren_EcalBarrDigiHits
Edep_EcalBarrDigiHits
S.R. Magill - ANL

4. Electron Calibration for Scintillator, Cerenkov
All Cerenkov
DigiSim Cerenkov
All Scintillator
S = 1.06 x sraw
C = 8046 x craw
S.R. Magill - ANL
DigiSim Scintillator

5. Polynomial Correction
S/E vs C/S
S/E
~4K 5 GeV 
~2K 10 GeV 
~1K 20 GeV 
ecalib Scin = 1.05
ecalib Ceren = 7900
Average Correction
Ecorr ~ S/0.71
Polynomial Correction
Ecorr = S/( (C/S) (C/S) (C/S)3)
S.R. Magill - ANL
C/S

6. Corrected Scintillator signal for pions using average
E (GeV)
S.R. Magill - ANL

7. Corrected Scintillator signal for pions using P3 Polynomial
E (GeV)
S.R. Magill - ANL

8. e+e- -> ZZ -> qq @ 500 GeV
Scintillator Hits
DigiSim
Cerenkov Hits
S.R. Magill - ANL

9. MC Particle Contribution to Cal Cells
Scintillator Hit Collections
Single Particle
Multiple Particles
S.R. Magill - ANL

10. Mip-finding in DR Cal Cerenkov and Scintillator response to charged
particles – Cerenkov signal << Scintillator signal
Threshold for production in media
Directional dependence
Disadvantage of using Scintillator signal
Shower covers interaction point due to backscattered particles
Disadvantages of using Cerenkov signal
Low Cerenkov light yield
Signal sensitive to readout SiPM position on cell
Advantages of using Cerenkov signal
Less sensitive to (soft) EM interactions
Less sensitive to (also soft) backscattered particles?
Directional dependence useful for finding interaction point inside scintillator shower?
S.R. Magill - ANL

11. 20 GeV pion shower in Dual Readout Calorimeter
Scintillator Cluster
Cerenkov Cluster
Note : cerenkov shower starts at end of track (blue line), scintillator shower overlaps track end
~1/3 mip threshold applied to both hit collections using DigiSim
S.R. Magill - ANL

12. Interaction Layer Comparison
Scintillator mean = 1.5
Cerenkov mean = 2.3
Interaction layer determined by either 0 or multiple hits in layer in a window defined by the position of extrapolated track
~ 1 layer deeper using Cerenkov hits
S.R. Magill - ANL

13. Difference between Mip and Track Endpoints
Scintillator mean -15 cm
Cerenkov mean -10 cm
MEP – TrEP (mm)
MEP – TrEP (mm)
Both Mip EPs shallower than track EP, but average Cerenkov Mip EP closer to track endpoint, again by 5 cm which is 1 layer in the ECAL
S.R. Magill - ANL

14. Mip Cluster compared to Hit Collections
Cerenkov hits (including mip cluster)
Mip cluster in EM Cal found with Cerenkov hits
Track Endpoint
Mip Cluster Hits
Scintillator hits
S.R. Magill - ANL

15. Nearest Neighbor Clustering
Scintillator Clusters
Cerenkov Clusters
S.R. Magill - ANL

16. Clusters Associated with Charged Particles (Tracks)
Mip clusters
Track-associated clusters
Uses : Core Cluster Algorithm, Cluster-Pointing Algorithm, E/P, etc.
S.R. Magill - ANL

17. Photon Clusters and Merged Clusters
Merged Scintillator Clusters
Photon Clusters
Cluster correction – use merged cerenkov clusters linked with merged scintillator clusters to apply polynomial correction
Merged Cerenkov Clusters
S.R. Magill - ANL

18. Jets Jet finding with kT algorithm – 2 jet mode
Scintillator Cluster Jets, Cerenkov Cluster Jets
MC FS Jets, Scintillator Cluster Jets
Jet correction – use cerenkov jets linked to scintillator jets to apply polynomial correction – compare to result with cluster correction
S.R. Magill - ANL

19. Applying PFA algorithms to Dual Readout Calorimeter
So far – can use mip-finding, cluster pointing, core clustering, photon-finding
algorithms developed in one detector (SiD) on a different detector (DR).
With no Particle Flow :
Can correct objects in events - jets, clusters, etc., using C/S ratio
With Particle Flow :
Use tracks when track/cluster associations are made
S.R. Magill - ANL