1. IceCube Institutional Memorandum Of Understanding (MOU)
    2. Scope of Work
    3. Faculty:
    4. Scientists and Post Docs:
    5. Students:
    6. Computing Resources:

Last updated: April 18, 2011

 


IceCube Institutional Memorandum Of Understanding (MOU)


Scope of Work

Labor Cat.
Names
WBS L3
Tasks
Funds Source
WBS 2.1
WBS 2.2
WBS 2.3
WBS 2.4
WBS 2.5
Grand Total

         
Program Management
Detector Maintenance & Operations
Computing & Data Management
Triggering & Filtering
Data Quality, Reconstruction & Simulation Tools
 		  

KE COWEN, DOUG Administration ExecCom member Inst. In-Kind
0.20
               
0.20

      Education & Outreach Education & Outreach Inst. In-Kind
0.05
               
0.05

      Physics Filters Tau WG Chair Inst. In-Kind            
0.25
   
0.25

    COWEN, DOUG Total        
0.25
       
0.25
   
0.50

    DEYOUNG, TYCE Education & Outreach Education & Outreach Inst. In-Kind
0.05
               
0.05

      Physics Filters Deep Core WG - Co Chair Inst. In-Kind            
0.25
   
0.25

    DEYOUNG, TYCE Total        
0.05
       
0.25
   
0.30

PO KOSKINEN, JASON Physics Filters develop and verify Deep Core filters Inst. In-Kind            
0.18
   
0.18

    Reconstruction/ Analysis tools Coordinate Deep Core reconstruction for production Inst. In-Kind              
0.12
0.12

        Detector Monitoring Monitoring shifts Inst. In-Kind    
0.03
         
0.03

    KOSKINEN, JASON Total             0.03    
0.18
0.12
0.33

    CABALLERO -MORA, KAREN Computing Resources Coordination and Support Grid distributed computing NSF M&O Core        
0.25
       
0.25

        Simulation Production Simulation Production Inst. In-Kind      
0.17
       
0.17

      Reconstruction/ Analysis tools Develop starting track reconstruction, Inst. In-Kind                
0.08
0.08

    CABALLERO-MORA, KAREN Total          
0.42
   
0.08
0.50

GR DUNKMAN, MATT Reconstruction/ Analysis tools develop starting track reconstruction - hybrid reco Inst. In-Kind               
0.25
0.25

    Physics Filters develop and verify DeepCore filters Inst. In-Kind      
0.25
 
0.25

      Detector Monitoring Monitoring shifts, Inst. In-Kind    
0.03
           
0.03

    DUNKMAN, MATT Total            
0.03
 
0.25
0.25
0.53

PSU Total          
0.30
0.06
0.42
0.93
0.45
2.15

 

 

 

 

Summary:

Penn State contributions to the maintenance and operations of IceCube include:


Faculty:

Doug Cowen (L,+) - ExecComm member, Tau WG leader, outreach, 100% IceCube

Peter Mészáros - theory, 10% IceCube

Tyce DeYoung – Deep Core WG Co. Chair, Deep Core filters, coordination with HAWC, outreach, 50% IceCube


Scientists and Post Docs:

Jason Koskinen – Develop and verify Deep Core filters, Monitoring , 100% IceCube

        Reconstruction modules: DeepCoreVeto, fillRatio

Karen Caballero Mora – Maintain distributed computing, simulation production, develop starting track reconstruction, 100% IceCube      


Students:

Matt Dunkman – Starting track reconstruction development, Develop and verify Deep Core filters, Monitoring, 100% IceCube

 


Computing Resources:

The Penn State IceCube group has access to several large computing clusters maintained and administered by the Penn State High Performance Computing group, comprising a total of 2920 computing cores. Of these, the Penn State group has priority on 88 cores. Our historical average utilization for the past year has been 100-200 cores, with peak usage levels around 500 cores for several weeks at a time.

With these clusters Penn State has contributed substantially to simulation production, including the entire collaboration-wide simulation of tau neutrinos, all Deep Core and IC+TWR simulation of electron, muon, and tau neutrinos, the largest amount of downgoing muon simulation outside of UW and DESY for IC, IC+TWR, IC+Deep Core, and IC+HEE, and to the generation of splines. These resources have also been used to run large amounts of the official collaboration Level 2 IC40 filtering at Penn State.

Note: The activities and staffing levels in this MoU are appropriate for the period beginning April 1, 2011 . The staffing level of 5 (3 2 1 ) with 4.6 FTE on IceCube represents a considerable reduction from the previously assumed level of 7 (3 4 4) with 9.1 FTE, due to lower than expected levels of NSF base grant funding. As a result we have been forced to reduce our M&O level of effort from the original 3.94 FTE to the present 2.15 FTE, by eliminating the level of effort in DAQ trigger support, eliminating support for verification and flasher calibration activities, and eliminating contributions to the selection of science-ready data.

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