Scope of Work
Last updated: September 1, 2010
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
|
| PSU PO | 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
|
| PSU PO Total | 0.42
|
0.08
|
0.50
|
| GR | Ha, Chang-Hyon | Reconstruction/ Analysis tools | develop starting track reconstruction | Inst. In-Kind | 0.13
|
0.13
|
| Ha, Chang-Hyon Total | 0.13
|
0.13
|
| PSU GR | Detector Monitoring | Monitoring shifts | Inst. In-Kind | 0.03
|
0.03
|
| PSU GR Total | 0.03
|
0.03
|
| PSU Total | 0.30
|
0.06
|
0.42
|
0.68
|
0.33
|
1.78
|
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, 100% IceCube
Reconstruction modules: DeepCoreVeto, fillRatio
New Postdoc – Maintain distributed computing, simulation production, develop starting track reconstruction, 100% IceCube
Students:
Chang-Hyon Ha – Starting track reconstruction development, 100% IceCube
New Grad Student – Reconstruction, Monitoring
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 September 1, 2010. The staffing level of 5 (3 2 2) 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 1.78 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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