Physics notes

mSUGRA benchmarks

Low mass (LM) mSUGRA benchmarks

Test points above Tevatron reach, but for which LHC has a relatively high reach. They are generally used for practicing various detailed measurements.

Benchmark m0 m1/2 A0 tanb sgn(mu) Notes SLHA
LM0 200 160 -400 10 1   LM0 SLHA
LM1 60 250 0 10 +   LM1 SLHA
LM2 185 350 0 35 +   LM2 SLHA
LM2mhf360 185 360 0 35 +   LM2mhf360 SLHA
LM3 330 240 0 20 +   LM3 SLHA
LM4 210 285 0 10 +   LM4 SLHA
LM5 230 360 0 10 +   LM5 SLHA
LM6 85 400 0 10 +   LM6 SLHA
LM7 3000 230 0 10 +   LM7 SLHA
LM8 500 300 -300 10 +   LM8 SLHA
LM9 1450 175 0 50 +   LM9 SLHA
LM9p 1450 230 0 10 +   LM9p SLHA
LM9t175 1450 175 0 50 + mtop = 175 LM9t75 SLHA
LM10 3000 500 0 10 +   LM10 SLHA
LM11 250 325 0 35 +   LM11 SLHA
LM12 2544.58 246.564 -865.752 47.5897 +   LM12 SLHA
LM13 270 218 -553 40 +   LM13 SLHA

High mass (HM) mSUGRA benchmarks

Test pointsfor which LHC has a relatively low reach. They are mostly used to test the LHC reach in the difficult parameter space regions. These benchmarks are not used for 10 and 7 TeV studies.

Benchmark m0 m1/2 A0 tanb sgn(mu) Notes SLHA
HM1 180 850 0 10 +    
HM2 350 800 0 35 +    
HM3 700 800 0 10 +    
HM4 1350 600 0 10 +    

GMSB (GM) benchmarks

Benchmark Lambda M_mess N5 C_Grav tanb sgn(mu) Notes SLHA
GM1b 80 160 1 1 15 +   GM1b SLHA
GM1c 100 200 1 1 15 +   GM1c SLHA
GM1d 120 240 1 1 15 +   GM1d SLHA
GM1e 140 280 1 1 15 +   GM1e SLHA
GM1f 160 320 1 1 15 +   GM1f SLHA
GM1g 180 360 1 1 15 +   GM1g SLHA

Tables for 7 TeV

All the information was extracted from the official 7 TeV Monte Carlo Sample Production pages.

Signals

Ref ID Process Binning Generator Cross section (LO) k (Prospino) = NLO/LO # of req evts Corr lumi req LO Rq by Notes
1214000 LM0   Pythia6 38.93 1.41 200k      
1201000 LM1   Pythia6 4.888 1.34 200k      
1215000 LM2   Pythia6 0.6027 1.33 200k      
1202000 LM2mhfeq360   Pythia6 0.5010 1.33 200k      
1203000 LM3   Pythia6 3.438 1.40 200k      
1204000 LM4   Pythia6 1.879 1.35 200k      
1205000 LM5   Pythia6 0.473 1.34 200k      
1206000 LM6   Pythia6 0.3104 1.30 200k      
1207000 LM7   Pythia6 1.209 1.11 200k      
1208000 LM8   Pythia6 0.7300 1.41 200k      
1209000 LM9   Pythia6 7.134 1.48 200k      
1211000 LM9p   Pythia6 1.653 1.41 200k      
1210000 LM9t175   Pythia6 4.241 1.55 200k      
1212000 LM10   Pythia6 0.04778 1.22 200k      
1213000 LM11   Pythia6 0.8236 1.35 200k        
1216000 LM12   Pythia6 4.414 1.34 200k        
1217000 LM13   Pythia6 6.899 1.42 200k        
1218000 GM1b   Pythia6 0.8791 1.45 200k        
1219000 GM1c   Pythia6 0.2485 1.38 200k        
1220000 GM1d   Pythia6 0.09085 1.30 200k        
1221000 GM1e   Pythia6 0.03930 1.24 200k        
1222000 GM1f   Pythia6 0.01873 1.19 200k        
1223000 GM1g   Pythia6 0.009656 1.15 200k        

Process based cross sections using prospino

!                   ng   ! neutralino/chargino + gluino                     !
!                   ns   ! neutralino/chargino + squark                     !
!                   nn   ! neutralino/chargino pair combinations            !
!                   ll   ! slepton pair combinations                        !
!                   sb   ! squark-antisquark                                !
!                   ss   ! squark-squark                                    !
!                   tb   ! stop-antistop                                    !
!                   bb   ! sbottom-antisbottom                              !
!                   gg   ! gluino pair                                      !
!                   sg   ! squark + gluino                                  !

LM0 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.57741 1.04787 4.06248 0.045956 3.17 5.56 6.3236 0.359 3.58 16.2
NLO (pb) 0.61464 1.04973 5.16743 0.054735 4.59 6.85 9.877 0.611 7.15 21.7

LM1 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.088449 0.21031 0.624799 0.211417 0.518 1.32 0.11252 0.0377 0.18 1.76
NLO (pb) 0.087455 0.215975 0.765887 0.262451 0.752 1.57 0.1944 0.0676 0.42 2.45

LM2 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.0122489 0.0283851 0.117164 0.031064 0.0476 0.201 0.00957 0.00412 0.0103 0.152
NLO (pb) 0.0118999 0.0303746 0.138634 0.036901 0.0701 0.235 0.01782 0.00801 0.0305 0.24

LM3 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.077868 0.120264 0.764838 0.0048889 0.243 0.749 0.06386 0.01996 0.192 1.27
NLO (pb) 0.080585 0.124515 0.9471 0.0055166 0.347 0.904 0.1117 0.0367 0.473 1.86

LM4 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.038965 0.0815624 0.333656 0.0188817 0.163 0.539 0.03647 0.01111 0.0581 0.608
NLO (pb) 0.038135 0.085136 0.404178 0.0219658 0.24 0.641 0.06488 0.0208 0.148 0.894

LM5 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.0100292 0.0224387 0.106434 0.0094483 0.0341 0.158 0.007257 0.002089 0.0077 0.115
NLO (pb) 0.0097232 0.024127 0.125583 0.0108165 0.0506 0.184 0.01365 0.00419 0.0235 0.185

LM6 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.0055538 0.0145533 0.0620303 0.033824 0.0207 0.106 0.003995 0.001202 0.00304 0.0591
NLO (pb) 0.0053955 0.0158187 0.0722918 0.0400883 0.0306 0.122 0.00767 0.00246 0.0101 0.0982

LM7 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.00098136 1.94619e-07 1.03901 6.75123e-17 5.17e-12 5.55e-12 1.8105e-08 5.29081e-12 0.177 2.06e-05
NLO (pb) 0.0010114 3.84229e-07 1.51588 0 0 9.28e-12 9.78841e-08 8.42e-11 0.388 8.69e-05

LM8 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.0197041 0.0237754 0.252419 0.00051359 0.031 0.15 0.014645 0.002354 0.0297 0.205
NLO (pb) 0.0202614 0.0255202 0.306361 0.00055526 0.0446 0.181 0.02676 0.00466 0.0867 0.335

LM9 - with dominant sub-processes

Interactions ng ns nn ll sb ss tb bb gg sg
LO (pb) 0.020292 0.00049121 5.98818 4.17214e-07 8.98e-05 0.000665 0.0002898 7.98e-05 1.19 0.0406
NLO (pb) 0.021936 0.00059755 19.8692 4.58864e-07 0.000194 0.000868 0.000632 0.0001773 2.59 0.0869

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