GLAST_BGmodel_2008-02-06.ppt Tsunefumi Mizuno 1 Status of the GLAST BG model February 6, 2008 CA-SO Workshop Tsunefumi Mizuno (Hiroshima Univ.)

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Presentation transcript:

GLAST_BGmodel_ ppt Tsunefumi Mizuno 1 Status of the GLAST BG model February 6, 2008 CA-SO Workshop Tsunefumi Mizuno (Hiroshima Univ.)

GLAST_BGmodel_ ppt Tsunefumi Mizuno 2 Plan of this talk Marco and Fancesco gave nice updates of background fluxes of LEO (not L&EO but Low Earth Orbit) from PAMELA and Agile. These updates should be compared with the GLAST background flux model. I will summarize the current status of the GLAST background model. New information from PAMELA and Agile will be included in it before the launch. Any comments and questions are very welcome.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 3 Why BG flux model? Operation:  Flux of background is many orders of magnitude higher than that of gamma-rays from astrophysical objects. We need to throttle the trigger to reduce the rate so as to download the gamma-ray events and events for calibration/monitoring. Science  Contamination with residual background will be severe for weak objects and diffuse emission. High BG rejection power is necessary to maximize the science output. BG flux model has been used to optimize the filter and event selection algorithm.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 4 Confluence Page The flux model will be updated frequently in early operation. We need to know what is implemented and what’s not, but no single document can tell about this. Therefore, we prepared a confluence page Flux+Model+in+Gleam The page is not so friendly (no images…). This talk is intended to give an overview of the current model.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 5 Particles Implemented Protons - primaries and secondaries Electrons - primaries and secondaries Positrons - primaries and secondaries Alphas - primaries Neutrons – secondaries Heavy Ions Trapped particles Earth(albedo) gammas Long efforts by Pat, Toby, Eric, Tune, Masanobu, Benoit, Jonathan, Markus, T.M. and others!

GLAST_BGmodel_ ppt Tsunefumi Mizuno 6 Primary Protons - Spectrum circles: AMS data (Alcaraz et al. 2000) solid lines: model w/ cutoff dotted lines: model w/o cutoff force-field approx. (Gleeson&Axford 1968) geomag cutoff to reproduce AMS data  varies from 540 MV to 1100 MV in sinusoidal curve (11 years period, solar maximum on ) 1100 MV (solar minimum) 540 MV

GLAST_BGmodel_ ppt Tsunefumi Mizuno 7 Primary Protons (Ang. Distr.) EW effect was approximately implemented  generate particles uniformly above the Earth rim  calculate Rc and the flux for ( ,  )  reject the event by the ratio of the flux to that form west Earth cos  = -1 cos  = 0.4 CrProtonMix Toward East North West No zenith angle dependence above the Earth rim (cos  >-0.4). NB We use the convention of rootplot (FluxSvc) in this talk. Direction of  and  is opposite in CRflux.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 8 Secondary Protons We refer to AMS data above 100 MeV Low energy data by NINA-2:  spectrum is saturated or even decreased below 100 MeV. (cf. Alcaraz et al and Bidoli et al AMS is zenith pointing and NINA-2 is zenith or Sun pointing) Zuccon et al downward upward Calculated ang. distr. from L=1.01 to 2.09 (bottom to top). We approximate this by 1+a*sin 2  EW effect not implemented (yet).

GLAST_BGmodel_ ppt Tsunefumi Mizuno 9 Leptons in Equatorial Region We refer to AMS data (Alcaraz et al. 2000) and MARIA-2 data (Voronov et al. 1991; Mikhailov et al. 2002)  Model formula for primary leptons is similar to that for primary protons. Angular distribution is the same.  Large positron fraction of secondary due to EW effect.  e - /e + ratio below 100 MeV is close to 1 (since gyroradius is small and particles do not drift in geomeg. field) e + /(e + +e - )=0.078 (Golden et al. 1994) No zenith-angle dependence is assumed. (AMS is zenith pointing and MARIA-2 doesn’t report strong zenith angle dependence) No EW effect for secondary leptons implemented (yet).

GLAST_BGmodel_ ppt Tsunefumi Mizuno 10 Leptons in High Latitude Region e + /e - ratio is close to 1, since the EW effect for primary protons is small. Steep spectrum gives high flux below 100 MeV.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 11 Alphas The same formula as that of proton primaries, but Z=2. The same angular distribution as that of proton primaries Secondary not modeled. (We assume they are negligible) Difference btw. the data and model for 0.4<  m <0.8 is probably because the latitude region is too. Anyway, the integrated flux is only ~1/10 of that of proton primaryes.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 12 Neutron Spectrum We refer to a recent calculation by Selesnik et al. (2007). E E E E=10 MeV-70 MeV E=70 MeV-500 MeV E=500 MeV-1 TeV [c/s/m 2 /sr/MeV] NB Vertical flux here is defined as, where  is the angular (see next) Uniform angular distribution above the rim is assumed.

GLAST_BGmodel_ ppt Tsunefumi Mizuno 13 Rigidity/Angular Dependence Rigidity dependence of e Rc, as measured by COMPTE (Morris et al. 1995). Implemented. HE neutrons are predicted to come from Earth rim (Selesnik et al. 2007). No yet implemented. upward from rim

GLAST_BGmodel_ ppt Tsunefumi Mizuno 14 Heavy Ions/Trapped Particles Sorry, I don’t know much about the detail of the model. Markus developed the trapped particle model. I saw Benoit’s name in the code of Heavy Ions. They are very important for calibration and operations. Can Benoit and CAL team (Heavy Ions) and Markus (Trapped Particles) update of the code (if necessary)?

GLAST_BGmodel_ ppt Tsunefumi Mizuno 15 Earth Gamma MeV Earth-Centered Hammer-Aitoff map by EGRET Developed by D. Petry using EGRET data Modeled in 10 MeV-10 GeV w/ EW effect. They contribute to the residual BG and GLAST is supposed to provide data with higher statistics and resolution. Somebody has to update the code. TM?

GLAST_BGmodel_ ppt Tsunefumi Mizuno 16 Summary An overview of Background Model is given.  Particle type, model function and dependences  What has been implemented and what is not.  Who is supposed to maintain the code. Model is about right, but not perfect. New data of Pamela and Agile are very useful. GLAST will also provide new information.  Model will be updated before the launch and during early operations.