(r11) AlanBellSandbox < Sandbox

---+++ 20 April  Trigger Analysis.
Processing the following runs in NanoDST.

Run 143955: Fill Number 1303. <br>
Filling Scheme: Alternating R1 R2 pilot. <br>

Run 146431: Fill Number 1364. <br>
Filling Scheme: 16 colliding bunches <br>

Run 143727: Fill Number 1299 <br>
Filling Scheme: 1250ns_48b_36_16_36 <br>

Run 148864: Fill Number 1440 <br>
Filling Scheme 150ns_368b_348_15_344_4xbpi19inj <br>



---+++4-Apr-2011 Pythia6 Efficiencies (Larger Dataset)

|             *SINGLE ARM EFFICIENCY PYTHIA6 RESULTS*         |      
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
|Inelastic |198163|0.945166|0.934887|0.920025|
|ND     |135830|0.999396|0.998447|0.996304|
|DD     |25999|0.888919|0.858071|0.815647|
|SD     |36334|0.782683|0.752243|0.709556|
|SD &xi;>=-5 |24739|0.978415|0.954161|0.913254|
|SD &xi;<-5 |11595|0.365071|0.321432|0.274946|

|       *DOUBLE ARM EFFICIENCY PYTHIA6 RESULTS*                    |
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
|Inelastic |198163|0.778748|0.752421|0.718615|
|ND     |135830|0.978002|0.962321|0.937319|
|DD     |25999|0.418516|0.353091|0.284819|
|SD     |36334|0.291628|0.253482|0.211427|
|SD &xi;>=-5 |24739|0.428312|0.372287|0.310522|
|SD &xi;<-5 |11595|0|0|0|

---+++Pythia8 Efficiencies 5-Apr-2011
|             *SINGLE ARM EFFICIENCY PYTHIA8 RESULTS*         |      
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
|Inelastic |99125|0.949095|0.944111|0.936999|
|ND     |67944|1|0.999853|0.999249|
|DD     |12906|0.902139|0.886952|0.864404|
|SD     |18275|0.792996|0.777237|0.756826|
|SD &xi;>=-5 |12486|0.996556|0.989989|0.976534|
|SD &xi;<-5 |5789|0.353947|0.318362|0.28295|

|       *DOUBLE ARM EFFICIENCY PYTHIA8 RESULTS*                    |
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
|Inelastic |99125|0.783929|0.765397|0.737987|
|ND     |67944|0.990492|0.978247|0.954301|
|DD     |12906|0.408647|0.365411|0.316442|
|SD     |18275|0.280985|0.256525|0.231464|
|SD &xi;>=-5 |12486|0.411261|0.375461|0.338779|
|SD &yxi;<-5 |5789|0|0|0|


---+++Phojet Efficiencies 5-Apr-2011
|             *SINGLE ARM EFFICIENCY PHOJET RESULTS*          |  
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
| Inelastic |468340|0.981782|0.973052|0.966742|
|ND     |374291|0.999797|0.999402|0.998253|
|DD     |23540|0.970093|0.952761|0.936958|
|SD     |62712|0.891568|0.845596|0.818551|
|CD     |7797|0.877902|0.794536|0.735924|
| SD &xi;>=-5 |46035|0.99659|0.989942|0.976127|
| SD &xi;<-5 |16677|0.601667|0.447143|0.383582|

|       *DOUBLE ARM EFFICIENCY PHOJET RESULTS*                    |
|*Event Type*|*N_{evts}*|*E>3GeV*|*E>4GeV*|*E>5GeV*|   
| Inelastic |468340|0.877412|0.845779|0.813435|
|ND     |374291|0.982134|0.964204|0.933955|
|DD     |23540|0.706797|0.632413|0.575956|
|SD     |62712|0.391711|0.303483|0.268115|
|CD     |7797|0.271899|0.166731|0.130948|
| SD &xi;>=-5 |46035|0.509134|0.410992|0.346128|
| SD &xi;<-5 |16677|0.0675781|0.00671584|0.000599628|



---+++ 1-Apr-2011 Getting time info from background and zero bias runs.
To investigate the background subtraction better, I am now running over the datasets again using Zerobias and XOR but with the added lumisection infor in the TTree. This info is gathered by calling iEvent.luminosityBlock() from the event.


+++---1-Apr-2011 Noisy towers
With the use of the ieta() and iphi() from the detid, I was able to find the exact towers which were contributing more to the counts than others. 
The tower ieta, iphi values are:<br>
1) ieta = 34, iphi = 33 <br>
2) ieta = 40, iphi = 43 <br>

I then ran a test job of 443000 events and looked for the following:
1) How many HF single arm events over 3 GeV.  *36242* <br>
2) How many HF single arm events over 3 GeV in which either 'bad' tower was hit. *9785*<br>
3) How many HF single arm events over 3 GeV which did not include the bad towers. *36242*<br>
4) How many HF single arm events ONLY in the bad towers. *0*<br>

Conclusion: The noisy towers, which seem to be due to small pedestal shifts, did not artificially contribute to the number of counts over threshold. No events exist in which the noisy towers were responsible for counting the event. If the noisy towers fired, many other towers also fired and the event would have been counted anyway, even if the bad towers were masked.<br>


---+++ 13-Mar-2011
Current status of processed data files<br>
In */castor/cern.ch/user/a/ajbell/xsection* <br>

*Phojet_Full_Extra_Phi.root*    Phojet dataset. Large and with HF Phi information for removing the noisy HF towers. 
*Pythia6_Full_Extra_Phi.root*    Pythia6 dataset. Large and with HF Phi information for removing the noisy HF towers. 
*Pythia8_Full_Extra_Phi.root*    Pythia8 dataset. Large and with HF Phi information for removing the noisy HF towers. 
*Phojet_FullEta.root*               Phojet MC Full simulation with &eta; >0 and &eta;<0 cuts <br>
*Phojet_Large.root*    Large Phojet full simulation with 2.9<|&eta;|<5.2 cuts <br>
*Pythia6_FullEta.root*   Pythia6 MC Full simulation with &eta; >0 and &eta;<0 cuts <br>
*Pythia6_Large.root*      Large Pythia6 full simulation with 2.9<|&eta;|<5.2 cuts<br>
*Pythia8_FullEta.root*          Pythia8 MC Full simulation with &eta; >0 and &eta;<0 cuts <br>
*Pythia8_Full_Extra.root*    Large Pythia8 full simulation with &eta; >0 and &eta;<0 cuts and 5.5GeV and 6GeV cuts.<br>
*Pythia8_Large.root*          Large Pythia8 full simulation with &eta; >0 and &eta;<0 cuts and 5.5GeV and 6GeV cuts.<br>

*Real_Data_Full.root*        0.7% pileup dataset with &eta; >0 and &eta;<0 cuts<br> 
*Realdata_ZeroBias.root*     0.7% pileup dataset with &eta; >2.9 and &eta;<5.2 cuts<br>

*ZB_BKGD_BPTX_MinusOnly.root*    Background measurements with &eta; >2.9 and &eta;<5.2 cuts<br>
*ZB_BKGD_BPTX_PlusOnly.root*       Background measurements with &eta; >2.9 and &eta;<5.2 cuts<br>

*ZB_Random_FullEta.root*
*ZB_Real_Data_Eta_3_5.root*           Zerobias data with Jeremy's 3>&eta;<5 eta cuts??? <br>
*ZB_Real_FullEta.root*                       ZeroBias data with &eta;>0 and &eta;<0 cuts <br>
*ZB_Real_Jeremys_Etas.root*            Zerobias data with Jeremy's 3>&eta;<5 eta cuts<br>
*ZeroBias_BKGD_BPTX_XOR.root*   Combined ZB_BKGD_BPTX_MinusOnly.root and ZB_BKGD_BPTX_PlusOnly.root<br>
*ZeroBias_Full_Extra.root*                         Zero Bias dataset with full &eta;>0, &eta;<0 cuts and extra energy cuts of 3.5GeV, 5.5GeV and 6GeV<br>
*ZeroBias_BKGD_BPTX_OR_Extra.root*  Combined ZB_BKGD_BPTX_MinusOnly.root and ZB_BKGD_BPTX_PlusOnly.root with 3.5, 5.5 and 6GeV cuts<br>
*ZeroBias_RECO_June14thReReco_v1.root*  Sample of ZeroBias data for CMSSW job testing.
Topic revision: r11 - 2011-04-20 - AlanBell
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