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Last updated: April 8, 2017
Last updated: October 15, 2011
IceCube Institutional Memorandum Of U
Pennsylvania State University
Doug Cowen
Ph.D Scientists (Faculty Scientist/Post Doc Grads): 4 (1 3 3)
nderstanding (MOU)
Scope of Work
Labor Cat.
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Names
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WBS L3
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Tasks
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Funds Source
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WBS 2.1
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WBS 2.2
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WBS 2.3
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WBS 2.4
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WBS 2.5
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WBS 2.6
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Grand Total
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Detector Maintenance & Operations | Computing & Data Management | Data Processing & Simulation | Software
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Calibration
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KE | COWEN, DOUG |
Education & Outreach |
Education & Outreach | Inst. In-Kind | 0.05
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0.05
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Engineering and R&D |
PINGU Co-Lead, Publication Committee | Inst. In-Kind | 0.45
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0.45
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COWEN, DOUG Total |
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0.50
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0.50
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SC | ANDERSON, TYLER |
Data Acquisition |
DAQ Firmware Development | NSF M&O Core | 0.23
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0.23
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ANDERSON, TYLER Total | 0.23
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0.23
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PO | ELLER, PHILIPP |
Reconstruction |
PISA Maintenance | Base Grants | 0.05
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0.05
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Detector Monitoring |
Monitoring Shifts | Base Grants | 0.03
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0.03
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Distributed Computing Resources |
Setting up computing system | NSF M&O Core | 0.10
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0.10
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|||||||
Data Acquisition |
DAQ Firmware Development | NSF M&O Core | 0.20
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0.20
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ELLER, PHILIPP Total |
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0.23
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0.10
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0.05
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0.38
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KEIVANI,
AZADEH |
Real-Time Alerts |
Maintain IceCube integration with AMON; HESE reco | Inst. In-Kind | 0.25
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0.25
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KEIVANI, AZADEH Total |
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0.25
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0.25
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AYALA, HUGO |
Real-Time Alerts |
Maintain IceCube integration with AMON; | 0.25
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0.25
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HUGO Total |
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0.25
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0.25
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GR | HUANG,
FEIFEI |
Reconstruction |
Develop analysis tools for systematics study | Inst. In-Kind | 0.10
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0.10
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Detector Monitoring |
Monitoring Shifts | Base Grants | 0.03
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0.03
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HUANG, FEIFEI Total |
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0.03
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0.10
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0.13
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LANFRANCHI, JUSTIN |
Reconstruction |
Low energy event reconstruction quality; PISA maintenance ; Software Strike Team member | Inst. In-Kind | 0.15
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0.15
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Detector Monitoring |
Monitoring Shifts | Inst. In-Kind | 0.03
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0.03
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LANFRANCHI, JUSTIN Total |
0.03
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0.15
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0.18
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PANKOVA, DARIA |
Data Acquisition |
DAQ electronics hardware and firmware; background studies | Inst. In-Kind | 0.47
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0.47
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Detector Monitoring |
Monitoring Shifts | Inst. In-Kind | 0.03
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0.03
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PANKOVA, DARIA Total | 0.50
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0.50
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PSU Total | 0.50
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1.52
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0.10
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0.30
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2.42
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Summary:
Penn State contributions to the maintenance and operations of IceCube include:
Faculty:
Doug Cowen (L,+) - PINGU co-lead, outreach, 90% IceCube
Scientists and Post Docs:
Tyler Anderson – firmware maintenance, electronics support, 23% IceCube
Analysis topics: n/a
Philipp Eller – simprod, distributed computing, PINGU systematics studies, monitoring, PISA
development andmaintenance, firmware development, 100% IceCubeAnalysis topics: Tau neutrino appearance, Neutrino Oscillations
Azadeh Keivani– Maintain IceCube integration with AMON, 25% IceCube (not on PSU IceCube base grant)
Analysis topic: Realtime analysis, Point sources of high energy neutrinos
Hugo Ayala– Maintain IceCube integration with AMON, 25% IceCube (not on PSU IceCube base grant)
Analysis topic: Realtime analysis, IceCube-HAWC coincidences
Ph.D. Students:
Feifei Huang - Gen-2 hardware requirements from IceCube data; Tau neutrino appearance with DeepCore, Cosmic ray muon background studies;
PISA development and maintenance; 100% IceCubeThesis/Analysis topics: tau neutrino appearance
Justin Lanfranchi – PINGU and low energy event reconstruction quality; PISA
development andmaintenance; Software Strike Team member; 100% IceCubeThesis/Analysis topics: n/a
Daria Pankova - Gen-2 DAQ electronics hardware and firmware; cosmic ray muon background studies; 100% IceCube
Thesis/Analysis topics: n/a
Computing Resources:
Cowen is a co-PI on a successful $1M GPU-centric MRI proposal (“CyberLAMP”) to NSF along with colleagues in astronomy, materials science, and computer science. This MRI will provide considerable resources to IceCube computing.
We will use this resources to contribute to simulation production, including simulation of low energy neutrinos with GENIE, PINGU simulations and reconstructions, and simprod jobs run collaboration-wide. Substantial amounts of reconstruction development work will also be conducted using these resources.
Note: The activities and staffing levels in this MoU are appropriate for the period beginning October 1, 2016.
The numbers in the table below are maximum numbers available to IceCube since the CyberLAMP resource is shared.
2016
2017
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CPU Cores
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GPU Cores
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CPU Cores
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GPU Cores
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IceCube
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3,200 Xeon cores and 300 Xeon Phi cores | 101 NVIDIA P100s | ||
PINGU
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High E Array
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