1. Update on CaloLUMI [14.3.2008] rate = (event2-event1)/Dt
no cut
cut on trg word
rate = (event2-event1)/Dt
Dt=(sec2-sec1)+(msec2-msec1)/

2. events selecting back-to-back sectors
adc12
adc11
adc13
adc10
adc14
adc9
adc5
Very clean Bhabha
events selecting back-to-back sectors
adc8
adc6
adc7

3. adc12
adc11
adc13
adc10
adc14
adc9
adc5
adc8
adc6
adc7
adc12
adc11
adc13
adc10
adc14
adc9
adc5
adc8
adc6
adc7
adc12
adc11
adc13
adc10
adc14
adc9
adc5
adc8
adc6
adc7
adc12
adc11
adc13
adc10
adc14
adc9
adc5
adc8
adc6
adc7
adc12
adc11
adc13
adc10
adc14
adc9
adc5
adc8
adc6
adc7

4. OR OR OR OR no cut cut on trg word not back-to-back adc12 adc11 adc13

5. 20.5%
18.2%
13.4%
22.8%
20.8%
18.6%
25.4%
22.4%
22.1%
16.0%
15761/40900=38.6%
7.9%,
7%,
8%,
7.2%,
8.5%,
4.6%,
7.8%,
8.7%,
7.7%,
5.5%,
14051/40900=34.4%

6. MC vs data Only OR of 5 sectors: m3m1OR=181.16 m2m0OR=179.68 7.9% 8.0%7% 8%
7.2%
8.5%
9.4%
7.4%
6.9%
7.6%
7.9%
4.6%
7.8%
8.7%
7.7%
5.5%
8.2%
8.5%
9.1%
7.0% MC
Only OR of 5 sectors:
m3m1OR=181.16
m2m0OR=179.68
In data, slightly less efficient m2•m0, mainly due to 0•16 and 4•18

7. no cut cut on trg word no cut cut on trg word 49.2% 47.0% 38.6% 34.4%
not back-to-back
module
not back-to-back
module

8. Using last results from Benoit on our Monte Carlo:
MC luminosity: f= Hz at L=1032
MC lum=rate/440.98×1032 = rate× ×1030
online lum (Web)=rate ×0.25×1030
online lum (Web)= MC lum×(1+10%)
Systematic shift due to “Born” acceptance vs. full MC acceptance only
Background contamination also shifts luminosity estimate towards higher values…
putting beams out of collisions also shows a contribution at the level of ~10% [but depends on machine conditions…]