32 nd ICRC –Beijing – August 11-18, 2011 Silvia Vernetto IFSI-INAF Torino, ITALY On behalf of the ARGO-YBJ collaboration Observation of MGRO J with ARGO-YBJ
Tibet ASγ ARGO The Yangbajing Cosmic Ray Laboratory Longitude 90° 31’ 50” East Latitude 30° 06’ 38” North 4300 m a.s.l.
Resistive Plate Chambers carpet
The ARGO-YBJ detector Central carpet 78 x 75 m 2 (95 % of active surface) Sampling ring surrounds the carpet up to 111 x 99 m 2 (20 % of active surface) Single layer of RPCs detectors The PAD (56 62 cm 2 ) is the space-time “pixel” Time resolution 1-2 ns ARGO has PADs
The ARGO-YBJ detector Central carpet 78 x 75 m 2 (95 % of active surface) Sampling ring surrounds the carpet up to 111 x 99 m 2 (20 % of active surface) The PAD (56 62 cm 2 ) is the space-time “pixel” Time resolution 1 ns ARGO has PADs Single layer of RPCs detectors
Duty cycle 86% First data in July 2006 Full detector in stable data taking since November 2007 Trigger: Number of fired pad N pad > 20 Rate ~3.5 kHz - Dead time 4% 220 GB/day transferred to IHEP/CNAF data centers
Shower core reconstruction Maximum Likelihood Method applied to the lateral density profile of the shower Fit of the shower front Primary direction EAS data Space and time coordinates of the fired PADs
The Moon shadow An important tool to check the detector performances Deficit: 71 standard deviations 9 standard deviations /month Physics: antiproton / proton ratio in cosmic rays
Displacement of the shadow due to the Geomagnetic field Bending 1.57° Z / E (TeV) The Moon Shadow Angular resolution Energy calibration Error of energy scale < 13%
HST Crab Nebula dN/dE =(3.0 ± 0.3) E – ± 0.09 ph sec -1 cm -2 TeV -1 3 years data
Mrk421 TeV rays ARGO X- rays 2-12 KeV RXTE/AMS X –rays KeV SWIFT/BAT Active periods Data sample: Nov 2007 – Feb 2011 Correlation with X rays Cumulative counting rate > 12 s.d.
MGRO J discovered by MILAGRO MILAGRO Galactic plane survey, Abdo et al data Median energy 20 TeV ARGO see poster by Chen S.Z. MGRO J Flux 80% Crab Extended source with extension < 2.6 deg Cygnus region
MGRO J confirmed by HESS Extension 0.34 ±0.04° HESS spectrum dN/dE = E -2.1 sec -1 cm -2 TeV -1 Aharonian et al., 2009
Fermi pulsar PSR J Abdo et al Pulsar period ms HESS Nebula flux FERMI upper limits to the nebula flux (pulsar off) FERMI pulsar
MGRO J spectrum Disagreement between HESS and MILAGRO spectra 8 HESS HESS spectrum: Aharonian et al., 2009 dN/dE = E -2.1 sec -1 cm -2 TeV -1 Milagro spectrum: Smith et al., 2009 dN/dE = E -1.5 exp(-E/14.1) sec -1 cm -2 TeV -1 MILAGRO
ARGO data and analysis From November 2007 to February 2011 (5358 observation hours) Events zenith angle < 45° Source culmination zenith angle = 24° Source observation time = 5.4 hours /day Events with N pad > 40 No gamma/hadron discrimination Background evaluation : time swapping method 4 N pad intervals: 40 – 100 – 300 – 1000
Assuming a bidimensional Gauss shape In agreement with HESS MGRO J extension c Events Significance map Map centered on the HESS source Integral angular distribution Found extension: = 0.50 0.35 N pad > 40
MGRO J spectrum … but it is 3 times larger than the HESS one dN/dE =(2.2 ± 0.4) (E/7 TeV) – ± 0.3 ph sec -1 cm -2 TeV -1 The ARGO flux is in agreement with MILAGRO… Systematic errors < 30%
. Possible causes of disagreement 1) Statistical fluctuation ? 2) Complex morphology or contribution from other sources ? 3) Contribution by the diffuse galactic gamma ray flux (< 20%) 4) Variable flux ? No, because of the extension d > 40 pc variability time scale > 130 years The problem is still open…
Backup slides
Determination of the flux and extension The observed extension is determined by Intrinsic source extension Detector PSF (that depends on the energy) But to evaluate the spectrum one should know the extension Iterative procedure
Determination of the flux and extension Iterative procedure: Assumed a power low spectrum with slope = 2.5 MC: evaluation of the PSF Data: determination of the intrinsic extension ( fitting the angular distribution of events) MC: evaluation of the best opening angles Data: determination of the spectrum slope ( fitting the event rates vs. nhit) After a few iterations the procedure converges