GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR-03213-01 Section 7.3 Science Analysis Software 1 Gamma-ray Large Area Space Telescope.

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Presentation transcript:

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 1 Gamma-ray Large Area Space Telescope GLAST Large Area Telescope ISOC Peer Review Section 7.3 Science Analysis Software and Data Challenges Richard Dubois SAS System Manager

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 2 Outline Introduction to SAS Scope and Requirements Overall Test Plan Data Challenges DC1 Summary

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 3 Science Analysis Software Overview Data Pipeline –Prompt processing of Level 0 data through to Level 1 event quantities –Providing near real time monitoring information to the IOC –Monitoring and updating instrument calibrations –Reprocessing of instrument data Performing bulk production of Monte Carlo simulations Higher Level Analysis –Creating high level science products from Level 1 for the PI team Transient sources Point source catalogue –Providing access to event and photon data for higher level data analysis Interfacing with other sites (sharing data and analysis tool development) –Mirror PI team site(s) –SSC Supporting Engineering Model and Calibration tests Supporting the collaboration for the use of the tools

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 4 Level III Requirements Summary Ref: LAT-SS-00020

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 5 SAS Organization Instrument Project Office R.Dubois Manager 4.1.D SLAC T.Burnett Sim/Recon 4.1.D.1 UW H.Kelly ACD 4.1.D.1.5 GSFC M.Strickman CAL 4.1.D.1.6 NRL, France T.Usher TKR 4.1.D.1.7 SLAC, UCSC, Italy T.Burnett Sources 4.1.D.1.1 UW F.Longo GEANT4 4.1.D.1.4 Italy T.Burnett Architect UW E.do Couto e Silva Calibrations 4.1.D.6 SLAC S.Digel Science Tools 4.1.D.4 Stanford R.Schaefer (SSC) Databases J.Chiang (UMBC) T.Burnett Observation Simulatior D.Band (SSC) S.Digel (SU) Analysis Tools P.Nolan (SU) Source Detecttion I.Grenier (CEA/Saclay) Catalog Analysis M.Hirayama (SSC) Pulsar Analysis D.Band (SSC) GRB Analysis H.Kelly Analysis Tools 4.1.D.2 GSFC A.Schlessinger Release MAnagement 4.1.D.2.9 SLAC Performance Metrics in conjunction with S.Ritz GSFC D. FlathA DPF 4.1.D.5 SLAC During the ISOC era, SAS will provide the software development and maintenance for use by the SOG

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 6 SAS in the Ground System DPF is robotic backbone of ISOC process handling – Performs L1 & L2 processing Keep everything on disk DPF server and database can handle multiple arbitrary sequences of tasks: L1 pipeline; reprocessing; MC; ….

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 7 Overall Test Plan Combination of Engineering Model tests, Data Challenges and LAT Integration Support EM tests –EM1 demonstrated ability to simulate/reconstruct real data from single (non-standard) tower All within standard code framework/tools Data analyzed with SAS tools Data Challenges –End to end tests of sky simulation through astro analysis –Exercise pipeline LAT Flight Integration –Combine tools from EM & DC applications –Sim/recon/analysis & pipeline processing and record keeping

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 8 Purposes of the Data Challenges “End-to-end” testing of analysis software. Familiarize team with data content, formats, tools and realistic details of analysis issues (both instrumental and astrophysical). If needed, develop additional methods for analyzing LAT data, encouraging alternatives that fit within the existing framework. Provide feedback to the SAS group on what works and what is missing from the data formats and tools. Uncover systematic effects in reconstruction and analysis. Support readiness by launch time to do all first-year science. S.Ritz

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 9 SAS Checklist Detailed Simulation Event Reconstruction Event Classification Instrument Calibration ACD CAL TKR Processing Pipeline MC I&T Re-processing High Level Analysis GRBs, AGN, Pulsars Catalogue, Diffuse User Support Code distribution Data Distribution Institutional Mirrors SSC LAT Mirrors High Level Instr Diags Quicklook DC1 DC2 DC3 I&T EM I&T Flight

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 10 Data Challenge Planning Approach Walk before running: design a progression of studies. DC1. Modest goals. Contains most essential features of a data challenge. Original plan: 1 simulated day all-sky survey simulation, including backgrounds find flaring AGN, a GRB recognize simple hardware problem(s) a few physics surprises exercise: –exposure, orbit/attitude handling, data processing pipeline components, analysis tools DC2, start end of CY04. More ambitious goals. Encourage further development, based on lessons from DC1. One simulated month. DC3. Support for flight science production. S.Ritz

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 11 Data Challenge 1 Closeout Feb

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 12 DC1 Components Focal point for many threads –Orbit, rocking, celestial coordinates, pointing history –Plausible model of the sky –Background rejection and event selection –Instrument Response Functions –Data formats for input to high level tools(*) –First look at major science tools – Likelihood, Observation Simulator –Generation of datasets (*) –Populate and exercise data servers at SSC & LAT (*) –Code distribution on windows and linux (*) Involve new users Teamwork! (*) – done – no further comment here

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 13 DC1 Minimum Results The existence of the data sets and the volume of data generated for background analyses already meets one of the success criteria. A minimum set of plots and tables that we must collectively produce: –TABLE 1: found sources, ranked by flux (E>100 MeV). Table has the following columns –reconstructed location and error circle –flux (E>100 MeV) and error –significance –3EG identification (yes or no) [note: DON’T assume DC1 sky is the 3EG catalog!] –extra credit: »include flux below 100 MeV »spectral indices of brightest sources »comparison of 3EG position and flux characteristics with GLAST analysis –FIGURE 1: LogN-logs plot of TABLE1 –TABLE 2: list of transients detected. Columns are location and error circle flux (E>100 MeV) and error significance duration –FIGURE 2: light curve Extra credit: FIGURE 2a: spectra. –PLUS: reports of any physics surprises found. S.Ritz

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 14 Science Tools in DC1 User Interface aspects of the standard analysis environment, such as Image/plot display (UI2), Command line interface & scripting (UI4), and GUI & Web access (UI5) are not shown explicitly. 1 This tool also performs periodicity tests and the results can be used to refine ephemerides 2 These tools can also take as input binned data from other instruments, e.g., GBM; the corresponding DRMs must also be available. 14 Sept 2002 Pulsar ephem. (D4) Level 1 (D1) LAT Point source catalog (D5) Interstellar em. model (U5) Pointing/livetime history (D2) Astron. catalogs (D6) Level 0.5 IRFs (D3) Alternative source for testing high- level analysis Alternative for making additional cuts on already- retrieved event data Pt.ing/livetime simulator (O1) Observation simulator (O2) Pt.ing/livetime extractor (U3) Data sub- selection (U2) Data extract (U1) Exposure calc. (U4) Likelihood (A1) Map gen (U6) Src. ID (A2) Event display (UI1) Pulsar profiles (A3) 1 Catalog Access (U9) Pt.ing/livetime extractor (U3) Pulsar phase assign (U12) Pulsar period search (A4) GRB spectral-temporal modeling (A10) Source model def. tool (U7) Arrival time correction (U10) GRB temporal analysis (A7) 2 GRB LAT DRM gen. (U14) GRB spectral analysis (A8) 2 GRB event binning (A5) GRB unbinned spectral analysis (A9) GRB visual- ization (U13) IRF visual- ization (U8) Ephemeris extract (U11) GRB rebinning (A6) 2 The big picture: Details are changing, but still basically right DC3 Standard Analysis Environment S.Digel and P.Nolan

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 15 Science Tools in DC1 Level 1 (D1) Interstellar em. model (U5) Pointing/livetime history (D2) IRFs (D3) Alternative source for testing high- level analysis Alternative for making additional cuts on already- retrieved event data Pt.ing/livetime simulator (O1) Observation simulator (O2) Pt.ing/livetime extractor (U3) Data sub- selection (U2) Data extract (U1) Exposure calc. (U4) Likelihood (A1) Map gen (U6) Pt.ing/livetime extractor (U3) Source model def. tool (U7) GRB LAT DRM gen. (U14) GRB spectral analysis (A8) 2 GRB event binning (A5) All components are still prototypes The DC1 functionality is Data extraction Limited visualization Model definition Model fitting Observation simulation S.Digel and P.Nolan

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 16 The data on to individual components! T.Burnett

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 17 The Diffuse Truth No surprises, excitement T.Burnett

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 18 3EG – and a twist T.Burnett

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 19 The blow-up T.Burnett

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 20 Plot of Everything... Michael Kuss 110 GeV WIMP at Galactic Center

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 21 Jeff Scargle Bayesian Block source finding – Voronoi Tesselation

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 22 Exposure: the 1-day map Units are percent of total exposure. scales wrong: standard AIT projection profile along the galactic equator Toby Burnett

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 23 Source Finding ID ROI ROI dist. Flux index TS flux index catalog ID e e EG J e e EG J e e EG J e e EG J e e EG J e e EG J e e EG J e e EG J Jim Chiang First 8 rows of catalogue Using 3EG sources as seeds

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 24 Documentation User’s Guide Data Description Likelihood Tutorial DC-1 Discussion List Analysis Code download sites Wiki page for sharing results!

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 25

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 26 Lessons Learned Analysis Issues –Astrophysical data analysis –Software usage and reliability –Documentation –Data access and data server usage –UI stuff –Software installation and release –Software infrastructure & framework –Communication and Time frame Infrastructure Issues –SciTools did not run on windows at the last minute –We discovered problems with sources and ACD ribbons late –Manual handling of the processing –No checking of file integrity –Large failure rate in batch jobs (~10%) –Tools are not checking inputs much –Code distribution scripts were written manually See closeout report for details

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 27 DC2, based on lessons from DC1 –1 simulated month of all-sky survey gammas (backgrounds: see next slide) –key sky addition: source variability AGN variability, including bright flares, quiescent periods expand burst variety (and include GBM? see later slides) pulsars, including Gemingas, w/ orbit position effects. –more realistic all-sky attitude profile –background rate varies with orbit position –more physics surprises, and add nominal hardware problems (and misalignments?), add deadtime effects and corrections –Analysis Goals: produce toy 1-month catalog and transient releasesproduce toy 1-month catalog and transient releases detailed point source sensitivity and localization studies first systematic pulsar searches (timing!); detailed diffuse analyses recognize simple hardware problems (connect with ISOC/SOG) –benchmark: processing times, data volume, data transfers. Strawperson Updated Plan for DC2 S.Ritz

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 7.3 Science Analysis Software 28 Summary We believe that EMs, DCs and Flight Integration will leave us ready for flight EM1 worked with our tools DC1 worked well, showing very good capabilities from sky modeling through astronomical analysis –Plenty of work still to so, but reasonably understood –Will be demonstrated in DC2, 3 and LAT Integration, 16- tower cosmic ray tests and the beam test prior to launch LAT Flight Integration in 6 months DC2 in 11 months