Table 4: Number of events before and after cuts for the Mrk 501 data sets. $N_\sigma$ is calculated after correcting for the $\sim$ $80\%$ data acquisition efficiency.
Number of events Significance Excess

Data set Cut $N_{\rm\scriptsize {On}}$ $N_{\rm\scriptsize {\rm Off}}$ $N_{\rm\scriptsize {\rm On}}-N_{\rm\scriptsize {Off}}$ $N_\sigma$ ${\rm ({\rm min}^{-1})}$

Year 2000 ( $8.3~{\rm h}$ ) Raw data 616 194 613 337 2 857

Software trigger 362 863 359 914 2 949 2.9 5.9

All cuts 73 034 71 518 1516 3.4 3.1

Year 2001 ( $2.0~{\rm h}$ ) Raw data 130 820 131 584 -764

Software trigger 67 040 67 410 -370 -0.9 -3.1

All cuts 13 957 14 059 -102 -0.6 -0.85

All data ( $10.3~{\rm h}$ ) Raw data 747 014 744 921 2 093

Software trigger 429 903 427 323 2 580 2.4 4.2

All cuts 86 991 85 578 1413 2.9 2.3

**Table 4:** Number of events before and after cuts for the Mrk 501 data sets. $N_\sigma$ is calculated after correcting for the $\sim$ $80\%$ data acquisition efficiency.
		Number of events	Significance	Excess
Data set	Cut	$N_{\rm\scriptsize {On}}$	$N_{\rm\scriptsize {\rm Off}}$	$N_{\rm\scriptsize {\rm On}}-N_{\rm\scriptsize {Off}}$	$N_\sigma$	${\rm ({\rm min}^{-1})}$
Year 2000 ( $8.3~{\rm h}$ )	Raw data	616 194	613 337	2 857
	Software trigger	362 863	359 914	2 949	2.9	5.9
	All cuts	73 034	71 518	1516	3.4	3.1
Year 2001 ( $2.0~{\rm h}$ )	Raw data	130 820	131 584	-764
	Software trigger	67 040	67 410	-370	-0.9	-3.1
	All cuts	13 957	14 059	-102	-0.6	-0.85
All data ( $10.3~{\rm h}$ )	Raw data	747 014	744 921	2 093
	Software trigger	429 903	427 323	2 580	2.4	4.2
	All cuts	86 991	85 578	1413	2.9	2.3

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