GLAST LAT ProjectDC1 Workshop, Dec. 8-9, 2003 1 High-Level Analysis Seth Digel & Patrick Nolan HEPL/Stanford Univ. Science Tools (Apologies to R. Dubois,

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Presentation transcript:

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, High-Level Analysis Seth Digel & Patrick Nolan HEPL/Stanford Univ. Science Tools (Apologies to R. Dubois, D. Flath, M. Urry, P. Padovani) (T. Usher)

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Outline Introduction –More on scope & goals for DC1 Science tools in DC1 Analysis topics & examples from EGRET –Diffuse emission –Source detection –Spectral analysis –Extended sources –Isotropic emission –GRBs Reviewing what goes on inside the green box for DC1 and motivating the analysis topics that the DC1 science tools support using real results from EGRET

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Introduction Surprise! Data Challenge 1 is not about science –The emphasis is on the analysis techniques themselves (and the tools to implement them that are to be discussed this afternoon) What are the DC1 goals for the science tools? –Briefly, an end-to-end test of the system, going back to instrument simulation, event classification and generation of response functions, through high-level processing, and managing the flow of data in between –So we are at the high-level processing end of the chain now (more or less – will be some iteration, e.g., on event classes). We want to shake test the science tools; actually they won’t take a lot right now introduce the analysis methods for gamma-ray astronomy with the LAT get feedback on functionality – from you and from developers In this talk we want to motivate the analysis techniques with a selection of real, scientific results from EGRET; Pat Nolan will cover the analysis methods –Exercising the tools will include at least some of the kinds of analyses described here

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, 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

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, 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) DC1 components of the science tools –Again, details have changed –Some other important details are not shown, like the machinery for loading the databases and serving the data All components are still prototypes The DC1 functionality is Data extraction Limited visualization Model definition Model fitting Observation simulation

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Science Tools in DC1 (cont) Details of the contents of the event summaries are still converging The interstellar emission model is still the model used by EGRET team (Bertsch et al. 1993, Hunter et al. 1997) The instrument response functions are defined only for the events that pass the filters presented by Bill Atwood at the collaboration meeting in Rome –Eventually we expect to have more than one event class –PSF and energy resolution are being defined on a grid of energies and inclination angles, with a analytic function fit. No interpolation of the parameters between grid points is attempted –The IRFs are not yet in CALDB, although this switch should be completely transparent to the user The interface to EGRET data and pointing/livetime history is not complete (and was not planned for DC1)

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Science Tools in DC1 (cont. 2) The DRM generator RspGen understands only circular cutout regions so far; this is not a limitation at all for analyzing bright GRBs, but the intent is to make it understand custom shapes for crowded fields The map generation tool does not exist yet –EventBin (GRB event binning) can make counts maps –Exposure maps can be generated with [what] No visualization is integrated with the tools yet The orbit and attitude simulation is still idealized and not yet a standalone tool

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Implementation of Science Tools Reminder: the tools are implemented as FTOOLS –HEASARC convention across missions You will notice that this defines much of the ‘look and feel’ –Provides a uniform interface –HOOPS for prompting at the command line –GUI is coming FITS files for data –More this afternoon

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics First a word about interstellar gamma-ray emission: Get used to it. Brightest at low latitudes, but detectable over the whole sky >60% of EGRET celestial gamma rays It fundamentally affects the approach to the analysis (as Pat will discuss) EGRET >300 MeV

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics: Source detection Source detection means at least 2 things: –Recognizing that you’ve detected a point source that you didn’t know about (and defining its statistical significance and location on the sky) –Determining the significance of the detection of (or measuring an upper limit for) an already-known source Sowards-Emmerd, Romani, & Michelson (2003, ApJ, 590, 109) bib_query?bibcode=2003ApJ S&db_key=AST Source location contours for two 3EG sources (Hartman et al. 1999). Potential (additional) counterparts, unresolved by EGRET, are indicated

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics: Spectral analysis Hartman et al (ApJ, 407,L41), bib_query?bibcode=1993ApJ...407L..41H&db_key=AST Well, this means measuring spectra –Mostly power laws resulting from shock acceleration, which is scale free –Spectral breaks occur for physics reasons and measuring them is diagnostic of the sources. For EGRET, the analysis of source spectra was a 2-step process –Fluxes were derived for fairly broad ranges of energy independently –Then a spectral model was fit The complication was that the exposure for a broad energy range depends on the source spectrum, so the fitting process was iterative.

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics: Extended Sources Hunter et al. (1994, ApJ, 436, 216) bin/nph-bib_query?bibcode=1994ApJ H Extended sources are more complicated to study, if you don’t know their intrinsic intensity distributions For EGRET local molecular clouds were large enough (~15°) and bright enough to be resolved marginally A relatively bright source in Ophiuchus (a star- forming region ~100 pc distant with associated interstellar clouds) was detected by COS-B. –Based on the mass of interstellar gas, the inferred cosmic-ray density was 10×local and hard to understand With EGRET, the emission is marginally resolved. More importantly, the data indicated a variable source (i.e., not diffuse), identified as blazar PKS , ~1° from the core of the main cloud

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics: Isotropic Emission Willis (1996) Residual intensities, after MW and point sources were removed Detected by SAS-2 and EGRET This is not a topic of DC 1 per se, because the analysis really rests on beating down or carefully characterizing the residual charged particle and gamma-ray albedo backgrounds Where the LAT will advance the subject is in resolving the isotropic emission into (presumably) point source constituents that could not be detected with EGRET The blazar contribution to the isotropic background is not an answered question –100% (Stecker & Salamon 1996) –25% (Chiang & Mukherjee 1998) –maybe less (Willis 1996)

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Analysis Topics: GRBs Light curves were not easy with EGRET, owing to the deadtime of the spark chamber; for the LAT they will be covered in the tutorial session this afternoon Other analyses can proceed as with point sources Sommer et al. (1994, ApJ, 422, L63) bib_query?bibcode=1994ApJ...422L..63S&db_key=AST From the EGRET TASC Superbowl Burst (GRB )

GLAST LAT ProjectDC1 Workshop, Dec. 8-9, Conclusions The DC1 science tools are prototypes, and at DC1 we are only partway through constructing the full Standard Analysis Environment Nevertheless, the analysis capabilities available for testing are sufficient for many scientific topics of central interest In fact the analyses presented here could in principle be undertaken with the DC1 science tools Next: Pat on the underpinnings of the analysis and the analysis algorithms