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Table 3:

Special fit results.
Data Set Used Fit f0 $\alpha^{(')}$ $\beta$ $E_{\rm cut}$ [TeV] $\chi^2_{\rm red, fit}$ Likelihood $E_{\rm peak}$ [TeV]
April 27, 2006 PL $9.54\pm0.52$ $1.92\pm0.07$     5.3/4    
log-P $9.35\pm0.55$ $1.54\pm0.19$ $0.59\pm0.29$   0.48/3 $96\%$ $1.2\pm 0.7$
log-P apex $11.5\pm0.9\phantom{0}$ $0.26\pm0.17$     0.48/3 $96\%$ $1.2\pm0.2$
PL+C $11.3\pm1.2 \phantom{0}$ $1.44\pm0.24$   $2.6\pm1.3$ 0.34/3 $96\%$ $1.4\pm 1.0$
All April Data PL $4.53\pm0.07$ $2.07\pm0.04$     16/5    
log-P $4.75\pm0.12$ $1.89\pm0.06$ $0.39\pm0.11$   1.2/4 $99\%$ $0.69\pm 0.14$
log-P apex $4.84\pm0.16$ $0.41\pm0.11$     1.2/4 $99\%$ $0.69\pm0.06$
PL+C $5.36\pm0.31$ $1.77\pm0.09$   $3.6\pm1.1$ 1.8/4 $99\%$ $0.80\pm 0.42$
High-State Nights PL $8.19\pm0.28$ $1.93\pm0.05$     6.0/4    
log-P $8.46\pm0.32$ $1.79\pm0.09$ $0.29\pm0.15$   2.0/3 $94\%$ $1.1\pm 0.6$
log-P apex $9.21\pm0.47$ $0.52\pm0.17$     2.0/3 $94\%$ $1.1\pm0.3$
PL+C $9.02\pm0.64$ $1.75\pm0.12$   $6.1\pm4.0$ 3.1/3 $91\%$ $1.5\pm 1.2$
Low-State Nights PL $3.39\pm0.10$ $2.17\pm0.05$     6.6/4    
log-P $3.55\pm0.13$ $2.02\pm0.08$ $0.38\pm0.17$   1.1/3 $97\%$ $0.48\pm 0.12$
log-P apex $3.55\pm0.13$ $0.41\pm0.16$     1.1/3 $97\%$ $0.48\pm 0.12$
PL+C $4.15\pm0.40$ $1.85\pm0.15$   $2.9\pm1.3$ 0.75/3 $97\%$ $0.45\pm 0.47$

Notes. Results of a power-law fit (Eq. (2)), a log-parabolic fit (Eq. (4) $\times$(E/E0)2), a log-parabolic fit in apex form (Eq. (6)) and a power-law fit with an exponential cutoff ((Eq. (5) $\times$(E/E0)2) in $E^2 {\rm d}F/{\rm d}E$ after EBL de-absorption for special data sets. f0 is given in units of $10^{-11}~{\rm TeV}^{-1}~{\rm cm}^{-2}~ {\rm s}^{-1}$; $\alpha$, $\alpha'$, $\beta$, $E_{\rm cut}$ and $E_{\rm peak}$ are the fit parameters as stated in the text, and Likelihood denotes the probability of a likelihood ratio test. The on/off normalization factor is 1/3, E0=0.5 TeV.

Source LaTeX | All tables | In the text

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