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Supernova Remnants @ HE

Supernova Remnants @ HE. Francesco Giordano University and INFN Bari Gamma 400 Workshop. Outline. Why @ HE (Emission Processes) How Many @ HE (Towards the 1 st Catalog) How Good (Study of systematic errors) Different Families? Conclusions. A “Typical” SNR SED. n H =100cm -3.

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Supernova Remnants @ HE

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  1. Supernova Remnants@ HE Francesco Giordano University and INFN Bari Gamma 400 Workshop

  2. Outline Why @ HE (Emission Processes) How Many @ HE (Towards the 1st Catalog) How Good (Study of systematic errors) Different Families? Conclusions F. Giordano @ Gamma 400

  3. A “Typical” SNR SED nH=100cm-3 Kep=10-1 Eb=10TeV 1=2 2=4.5 B=100uG Fermi Range Sync 0 Brem IC on CMB nH=1cm-3 Scaling the environment density we pass from a p-p dominated SED to a IC dominated F. Giordano @ Gamma 400

  4. Populations F. Giordano @ Gamma 400

  5. Synchrotron radiation Zirakashvili and Aharonian (2007) A&A 465 ωc = 1.5 Bp2/(mc)3 F. Giordano @ Gamma 400

  6. IC Scattering Stuner et al. (1997) ApJ 490 • U = 0.26 eV/cm3 • T = 2.73 K F. Giordano @ Gamma 400

  7. CosmicMicrowave Background Weused the followingexpressionfor the number density of CMB photonas a functionofenergy (blackbodyphotondistribution): • where: • kis the Boltzmannconstant and T = 2.73 K; • The parameterUrepresents the energy density of CMB photons and itisequalto0.26 eV cm-3. Ifwe integrate overallvaluesofenergyweobtain the valueof the number density: F. Giordano @ Gamma 400

  8. Bremsstrahlung yield Baring et al. (2000) ApJ 528 Density of environment Bethe-Heitler ultra-relativistic Cross Section F. Giordano @ Gamma 400

  9. p-p interactions via 0 decay Parameterization proposed by Kamae et al 2006 F. Giordano @ Gamma 400

  10. Cygnus Loop Tycho Fermi-Detected SNRs 13 identified SNRs:-9 interacting - 4 young SNRs CTB37A Vela Jr F. Giordano @ Gamma 400 counts

  11. Detection of the p0-decay bump in SNRs IC 443 and W44 are the two brightest SNRs in the Fermi-LAT range M. Ackermann et al. 2013 • The low energy break is very significant • (~19σ and ~21σ for 60 MeV E  2 GeV); • This gives unambiguous and robust detection of the pion decay bump • and clear proof that these SNRs accelerate protons. F. Giordano @ Gamma 400

  12. Fermi-Detected SNRs 13 identified SNRs:-9 interacting - 4 young SNRs + 43 2FGL candidates, excluding spatial associations with PSRs, PWN, AGN F. Giordano @ Gamma 400 counts

  13. SNR Catalog: To better understand SNRs in a statistically significant manner within a MW context we: • characterize the spatial and spectral morphology of all regions containing known SNRs. • examine multi-wavelength (MW) correlation, including spectrum + morphology for radio, X-ray, and TeV and CO, maser, IR, … • determine statistically significant SNR classification(s) and perform spectral modeling F. Giordano @ Gamma 400

  14. Characterize GeV Emission:Analysis Procedure • Data Set: • 3 years of P7SOURCE_V6 LAT data • E: 1-100 GeV • Region Of Interest: 10° around each SNR • Overlapping sources? • = None: Add a new extended source • = 1 source (not PSR): Replace w extended source • > 1 source: Replace (non-PSR) source closest to radio centroid w extended source.Delete all other (non-PSR) sources. • Green’s Catalog (2009): • 274+5 SNRs • Localize source, fit extension • Disk extension seed = radio size • Spectral model: power law • Normalization of Galactic diffuse and all sources w/in 5o of candidate are free during minimization procedure. • Starting Model: • 2FGL • Output: • Position, extension, significance • Spectral energy distribution • Region and residual maps • Diagnostics Identifying SNRs via extension: If a SNR’s spatial extension is larger than Fermi’s PSF, we can detect its size, helping to positively identify it. F. Giordano @ Gamma 400

  15. SNR Catalog: • Fermi-LAT has the ability to spatially resolve a large number of the 279 known SNRs assuming their GeV and radio sizes are similar. F. Giordano @ Gamma 400

  16. SNR Catalog: • Fermi-LAT has the ability to spatially resolve a large number of the 279 known SNRs assuming their GeV and radio sizes are similar. • Spatial extension measured for 15 SNRs, 6 of which are new candidates, permitting clear identification. F. Giordano @ Gamma 400

  17. Systematic Error Study To explore systematic uncertainties related to the choice ofthe Interstellar Emission Model (IEM), we localized and fit 8 representative candidate SNRs using alternative IEMs. The eight remnants are a combination of hardand soft and point-like (x) and extended (o) sources and they are located in regions with different intensities of the IEM. F. Giordano @ Gamma 400

  18. Alternative IEMs • They are build using GALPROP with input parameters set as: • HI spin temperature =[150K and optically thin], • CR source distribution =[SNR and Lorimer], • Halo height = [4 kpc and 10 kpc], and then fit to the data. • The HI and CO emission split into 4 Galactocentric rings and the inverse Compton emission are fit simultaneously with the source of interest.  Warning: • these 8 models do not span the complete uncertainty of the systematics. • the method for creating this model differs from that used to create the official Fermi-LAT interstellar emission model, so these 8 models do not bracket the official model. F. Giordano @ Gamma 400

  19. Systematic Error Study SNR candidates' flux and index averaged over the alternative IEMs' solutions, compared to the standard (STD) model result. Flux: Index: PRELIMINARY PRELIMINARY SNRs: Our automated analysis finds a softer index and a much larger flux for SNR347.3-0.5 (RX J1713) than that obtained in a dedicated analysis. [Abdo et al. 2010]Since the best fit radius (0.8o ) is larger than the dedicated analysis’ (0.55o ), the disk encompasses nearby sources that are not in the model. This make it softer than the more accurate analysis. F. Giordano @ Gamma 400

  20. End of slide show Radio-GeV Correlation? Radio synchrotron emission indicates the presence of relativistic leptons. LAT-detected SNRs tend to be radio-bright: • Interacting SNRs: general correlation suggests a physical link • Young SNRs show more scatter upper limits (i=2.5, 99%) F. Giordano @ Gamma 400

  21. Radio-GeV Index If radio and GeV emission arise from the same particle population(s), under simple assumptions, the GeV and radio indices should be correlated: • Young SNRs: seem consistent • Others, including interacting SNRs: softer than expected • p0decay or e+/-brem. • inverse Compton =2a+1 • Data now challenge model assumptions! • Underlying particle populations may have different indices. • Emitting particle populations may not follow a power law: breaks? • Multiple emission zones? =a+1 F. Giordano @ Gamma 400

  22. GeV-TeV Index IC 443 SED Fermi IACT E2dN/dE IC 443 Break region 1 GeV 1 TeV E • Indication of break at TeV energies • Caveat: TeV sources are not uniformly surveyed. F. Giordano @ Gamma 400

  23. GeV-TeV Index RX J1713-3946 SED Fermi IACT E2dN/dE Break region RX J1713-3946 1 GeV 1 TeV E • Indication of break at TeV energies • Caveat: TeV sources are not uniformly surveyed. F. Giordano @ Gamma 400

  24. Environment? Interacting SNRs tend to be more luminous than young SNRs. • Young SNRs: • Low Lgevolving into low density medium? • Interacting SNRs: • Higher Lgencountering higher densities? F. Giordano @ Gamma 400

  25. Or Evolution? Young SNRs tend to be harder than older, interacting SNRs. • Due to • decreasing shock speed allowing greater particle escape? • decreasing maximum acceleration energy as SNRs age? F. Giordano @ Gamma 400

  26. May a simple simulation help??? Particle injection =4.5 F. Giordano @ Gamma 400

  27. Particle injection =4.5 F. Giordano @ Gamma 400

  28. 0->  SEDs Particle injection =4.5  1 F. Giordano @ Gamma 400

  29. Conclusions • Our systematic study has identified a statistically significant population of Galactic SNRs, including: • 6 new extended and >25 pointlike SNR candidates, • evidence for at least 2 SNRs’ classes: young and interacting. • Combining GeV and MW observations suggests that: • some SNRs' emitting particle populations may be linked, • simple model assumptions are no longer sufficient, allowing more complex models to be tested. • Improved observations and modeling will give us greater insight into SNRs, their acceleration mechanisms and their accelerated particles. • Accurately estimating SNRs’ aggregate particle acceleration mechanisms will also allow us to better quantify SNRs’ capability to produce the observed CRs. F. Giordano @ Gamma 400

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