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Implementing Portals of the Universe Lessons learned SWIFT

Implementing Portals of the Universe Lessons learned SWIFT. IXYZ Frank Marshall NASA/GSFC 25 April 2012. Basic Characteristics of Swift :. Explorer mission to study Gamma-Ray Bursts (GRBs) Launched in 2004; 2012 Senior Review recommended another 4 years of ops. 3 instruments:

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Implementing Portals of the Universe Lessons learned SWIFT

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  1. Implementing Portals of the UniverseLessons learnedSWIFT IXYZ Frank Marshall NASA/GSFC 25 April 2012 Implementing Portals of the Universe

  2. Basic Characteristics of Swift: • Explorer mission to study Gamma-Ray Bursts (GRBs) • Launched in 2004; 2012 Senior Review recommended another 4 years of ops. • 3 instruments: • Burst Alert Telescope (BAT) surveys sky in 15-350 keV band • X-Ray Telescope (XRT) covers 0.3-10 keV • Ultra-Violet Optical Telescope (UVOT) covers 170-650 nm. • GRBs are primary targets including autonomous observations of new GRBs • Broad range of non-GRBs targets (SNe, AGN, normal galaxies, …) • All data are immediately public • Archive data volume of ~1.5 TB/year of Level 1, 2, 3 data • Active Guest Observer Program: • In 2011, 151 proposals competed for 5 Ms and $0.8M • Also ~900 target-of-opportunity (TOO) observations/year Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  3. Recommended Best Practices Implementing Portals of the Universe

  4. Highlight 1: Data Processing & Archiving • Rapid user access to data: • Data typically are processed and available on a Swift Web site • within a few hours of an observation. • Permanent archive at HEASARC & data centers in England and Italy within 7 days • Data are in standard, multi-mission FITS formats. • Standard products provide overview of results: • Light curves, sky images, spectra • Gamma-ray Coordinates Network (GCN) provides rapid release of results to community. • Effectively involves ground-based community. Over Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  5. Highlight 2: Science Scheduling • Swift faces a large mission planning challenge: • Rapid response to unpredictable GRBs is a primary goal. • Autonomous s/c observations is a further complication. • Swift also observes a broad range of rapid-response targets such as SNe. • Monitoring campaigns with other missions is increasing. • Recent software improvements have greatly increased the efficiency of this process. • Software started from multi-mission TAKO program. • A DB system for tracking observations has been added. • Other Swift-specific tools were written. Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  6. Highlight 3: Science Analysis Software • Swift uses the HEAsoft analysis package. • Users are familiar with the software. • Re-use of many tools (fv, xspec, …) • Swift’s effort focuses on Swift-unique tools. • Provides for easy distribution. • Ensures compatibility with popular operating systems. • Ensures long-term maintenance. • Swift also uses HEASARC’s multi-mission CALDB • for similar reasons. Over Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  7. What are the constraints in current policies? Implementing Portals of the Universe

  8. Suggestions & Concerns (1) • User support is expensive. • Lack of tools to make it more efficient. • Community expertise is underutilized. • Computer security is a threat. • Institutional response can be severe. • Installing science software is a burden for users. • Providing computer resources to community is difficult. • Maintaining services with a declining budget is a challenge. Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  9. Swift Summary • Swift is an Explorer doing first-class science with a modest budget. • Swift utilizes existing infrastructure to improve services and reduce costs. • Adapted existing processing pipeline. • Uses existing data archives. • Uses HEASoft science analysis suite with CALDB. • Swift has broad community involvement: • All data public immediately. • GRB results rapidly distributed via GCN & Swift web site. • Guest Observer & TOO time ~2/3rds of total time. • Familiar software & active user support. Over Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

  10. Backup slides Implementing Portals of the Universe

  11. Discussion Items:Swift Proposal Process • Swift awards part of its observing time via competitive proposals. • Time is also awarded via a TOO web page (essentially DDT). • What works: • Multi-mission software (ARK) for submitting proposal. • Two-stage process (only winners write budgets) • reduces the budget writing effort. • Tools (e.g., spreadsheets) for compiling grades & evaluations. • What could work better: • Coordinating observations using other observatories. • Obtaining reviewers Over Implementing Portals of the Universe, April 25 2012 Implementing Portals of the Universe

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