# Presentation: 893754

## Experimental Particle Physics

**Plenary Afternoon Session**

- Jim Shank
- Frank Wuerthwein

## Panel Members

**Plenary Afternoon Session**

- 1. Vincenzo Innocente  (CERN)   vincenzo.innocente@cern.ch
- 2. Ruth Pordes    (FNAL)  ruth@fnal.gov
- 3. Bill Johnston  (ESNet)  WEJohnston@lbl.gov
- 4. Richard Mount (SLAC)  Richard.Mount@slac.stanford.edu
- 5. Ian Bird (CERN)   Ian.Bird@cern.ch
- 6. Young-Kee Kim (UChicago)  ykkim@fnal.gov
- 7. Jim Shank (BU)  shank@bu.edu
- 8. Roger Jones (Lancaster)  Roger.Jones@cern.ch
- 9. Torre Wenaus (BNL)  wenaus@bnl.gov
- 10. Harvey Newman (Caltech)  Harvey.Newman@cern.ch
- 11. Ian Fisk (FNAL)  ifisk@fnal.gov
- 12. Matt Crawford (FNAL) crawdad@fnal.gov
- 13. Bob Tschirhart (FNAL) tsch@fnal.gov
- 14. Toni Johnson (SLAC) tony_johnson@slac.stanford.edu
- 15. Frank Wuerthwein (UCSD) fkw@ucsd.edu

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## Computing Challenges

- Scale of computing is now beyond the petascale and will grow approximately 100x (possibly much more)
- Rates from archive for organized data processing
- Rates for data analysis between processor core and active storage
- Processing and storage requirements
- Networking provisioning:
- Utilization scale up from Climate and HEP will run into problems by 2015

**December 10, 2008**

**Plenary Afternoon Session**

## Data Management at the Exabyte scale

- Character: Write once – read many
- Exploitation of evolving multi-level storage hierarchy
- Tracking & Scheduling
- Cataloging
- Automated strategy generation
- Fault tolerance
- Support for distributed collaboration
- Distributed replicas
- Distributed analysis

**December 10, 2008**

**Plenary Afternoon Session**

## Large distributed Collaboration

- Our most valuable resources are human (~5k participants) : How do we effectively empower them?
- Distributed development
- Our software system is complex (~500 developers/experiment) reflecting the complex detectors
- Maintaining and scaling the global infrastructure
- Security, interoperability, fault-tolerance, usability, access
- Experiments are long lived (decades)
- Managing change
- Industry, technology, tertiary storage,  etc...
- Planning for long-term stewardship of data & collective expertise for analysis

**December 10, 2008**

**Plenary Afternoon Session**

## Simulation and Algorithms

- Full exploration of the physics frontier is currently limited by our ability to reach statistically meaningful levels of sensitivity & precision in simulation & analysis
- In order to make new physics discoveries, need to simulate:
- tails of the detector response
- tails of Standard Model distributions.
- Algorithm development to optimize performance
- Detector simulation and Physics generator level
- Sophisticated analysis in a large parameter space

**December 10, 2008**

**Plenary Afternoon Session**

## Managing Technology Change: Multi-Core

- Exp. HEP has cost-effectively exploited high data throughput computing on ~100k cores
- We must adapt existing code to new architecture
- Existing techniques will scale to ~ 16 cores/processor
- Need innovative solutions to scale to many cores
- Common cause with other disciplines
- Collaboration with Applied Math/CS
- We have identified initial problems that would benefit
- Particle track reconstruction,  Fitting in large parameter spaces,  simulating detector responses

**December 10, 2008**

**Plenary Afternoon Session**

## List of Priority Research Directions

**Plenary Afternoon Session**

- The Energy Frontier, using high-energy colliders to discover new particles and directly probe the architecture of the fundamental forces.
- The Intensity Frontier, using intense particle beams to uncover properties of neutrinos and observe rare processes that will tell us about new physics beyond the Standard Model.
- The Cosmic Frontier, using underground experiments and telescopes, both ground and space based, to reveal the natures of dark matter and dark energy and using high-energy particles from space to probe new phenomena.
- What is Dark Matter ?
- Does the Higgs field exist in nature ?
- Are there additional dimensions of space ?
- What are neutrinos telling us ?

## Priority Research Direction: What New particles?

**Plenary Afternoon Session**

**Priority Research Direction: What New particles?**

**Scientific and computational challenges**

**By 2020, the LHC physics program will have produced in excess of an exabyte of data. This data will be mined by global collaborations of thousands of physicists to search for, and ultimately study the nature of new particles.**

**Exabyte data management, storage, and distribution across globally distributed computing centers.**
**ESNet projects that network utilization by HEP & Climate Science exceeds the planned bandwidth provisioning by 2015.**

**HEP is driving the leadership class data management, storage, and distribution capabilities.**
**The technologies developed for solving the Exabyte Challenge in HEP will be broadly applicable to other data intensive sciences. **

**The LHC may lead to the discovery of new particles within its first 5 years of data taking. **
**This would mark the beginning of decades of study of the nature of the new particles, both to refine our understanding of cosmology, as well as particle physics.**

**Summary of research direction**

**Potential scientific impact**

**Potential impact on High Energy Physics**

## Priority Research Direction:  Exploring the Intensity Frontier

**Plenary Afternoon Session**

**Priority Research Direction:  Exploring the Intensity Frontier**

**Scientific and computational challenges**

**Decisions will be made on $1B class neutrino physics research facilities in the next decade based on physics and detector simulations. **
**The software algorithms and tools to do so are borderline inadequate.  **

**In addition to detector design studies, simulation tools play a vital role in the understanding of the data taken.**
**This is particularly important for the study of rare processes and precision measurements.**

**Most of the existing simulation tools are broadly applicable across all areas of HEP.**
**The needed investment for neutrino physics will thus pay off across a range of areas, including non-accelerator as well as accelerator based science.**

**Summary of research direction**

**Potential scientific impact**

**Potential impact on High Energy Physics**

**Modern standards of physics and detector modeling and model validation must be developed.**
**Performance optimization of the simulation toolsets are essential. **

## Priority Research Direction (use one slide for each)

**Plenary Afternoon Session**

**Priority Research Direction** (use one slide for each)

**Scientific and computational challenges**

**What will you do to address the challenges?**

**Brief overview of the underlying scientific and computational challenges**

**What new scientific discoveries will result?**
**What new methods and techniques will ****be developed?**

**How  will this impact key open issues in High Energy Physics? **
**What’s the timescale in which that impact may be felt?**

**Summary of research direction**

**Potential scientific impact**

**Potential impact on High Energy Physics**

## Priority Research Direction (use one slide for each)

**Plenary Afternoon Session**

**Priority Research Direction** (use one slide for each)

**Scientific and computational challenges**

**What will you do to address the challenges?**

**Brief overview of the underlying scientific and computational challenges**

**What new scientific discoveries will result?**
**What new methods and techniques will ****be developed?**

**How  will this impact key open issues in High Energy Physics? **
**What’s the timescale in which that impact may be felt?**

**Summary of research direction**

**Potential scientific impact**

**Potential impact on High Energy Physics**