Running Loop Induced on cluster mode gives error
Hi,
I am trying to run gg->4lep+jets loop induced process gridpacks, using cluster mode. This processes run successfully while running on multicore mode. And tree level processes like pp>z also run successfully on cluster mode.
It is only the running of (any) loop induced process on cluster mode that gives me an error like the following:
INFO: P0_gg_zz/G1 is at 0.897 +- 0.0631 pb. Now submitting iteration #2.
INFO: P0_gg_zz/G2.2 is at 0.0172 +- 0.00577 pb. Now submitting iteration #2.
INFO: All jobs finished
INFO: Idle: 0, Running: 0, Completed: 16 [ 2m 2s ]
Error when reading /home/net3/
Command "generate_events run_02" interrupted with error:
IOError : [Errno 2] No such file or directory: '/home/
Please report this bug on https:/
More information is found in '/home/
Please attach this file to your report.
INFO:
quit
In the debug file it says the following:
#******
#* MadGraph5_
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 2.7.3 2020-06-21 *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https:/
#* *
#******
#* *
#* Command File for MadEvent *
#* *
#* run as ./bin/madevent.py filename *
#* *
#******
generate_events run_02
Traceback (most recent call last):
File "/home/
return self.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
self.
File "/home/
original_
File "/home/
postcmd=False)
File "/home/
stop = Cmd.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
cross, error = self.make_
File "/home/
return sum_html.
File "/home/
Presults = collect_result(cmd, folder_
File "/home/
P_comb.
File "/home/
oneresult.
File "/home/
finput = open(filepath)
IOError: [Errno 2] No such file or directory: '/home/
Related File: /home/net3/
automatic_
cluster_
Do you have any suggestions please?
Thanks,
Jay Sandesara
Question information
- Language:
- English Edit question
- Status:
- Answered
- Assignee:
- No assignee Edit question
- Last query:
- 2020-11-16
- Last reply:
- 2020-11-18
Hi,
Did you set pt cut on the Z for that process? (otherwise you have an integrable singularity that makes impossible for the code to generate events).
This might not be your issue actualy.
Do you have a log file in /home/net3/
This should provide a hint of the problem.
Cheers,
Olivier
Jay Sandesara (jaysandesara) said : | #2 |
Hey Olivier,
This same process runs fine on multicore mode, so it might not be a process fault.
I figured out after some trial and error that this issue only happened when re-'launch'ing the process from the same output directory twice, using cluster mode. Also note that these issues only happen for loop induced processes.
Making a fresh directory and launching that I get the following error now:
INFO: End survey
refine 10000
Creating Jobs
INFO: Refine results to 10000
INFO: Generating 10000.0 unweighted events.
Error when reading /home/net3/
Command "generate_events run_02" interrupted with error:
IOError : [Errno 2] No such file or directory: '/home/
z/G2.2/results.dat'
Please report this bug on https:/
More information is found in '/home/
Please attach this file to your report.
INFO:
And insude the G2.2 directory I only have a 'ftn25' file with the following text:
-0.0000071472770509 +0.0000591141206259 +0.0001118915191760 +0.0001586070965117
+0.0001994365145220 +0.0002421029975097 +0.0002926953314754 +0.0003523487460095
+0.0004236863352670 +0.0005052667349680 +0.0005992735090596 +0.0007104595265422
+0.0008391451560580 +0.0009829571308225 +0.0011476448366913 +0.0013381770143287
+0.0015554971619234 +0.0018044210464499 +0.0020817286656952 +0.0023957776249037
+0.0027574988763947 +0.0031563452966326 +0.0036079496484904 +0.0041142041451001
+0.0046682646098808 +0.0052921375532616 +0.0060071903786130 +0.0068121548619855
+0.0076895892725127 +0.0086403304029830 +0.0096706209410779 +0.0108243592167447
+0.0120823342676093 +0.0134291494846810 +0.0149085493099759 +0.0165694498392576
+0.0184115066212627 +0.0203742264510825 +0.0225402749439121 +0.0249928926104955
+0.0277203761138055 +0.0306143167750027 +0.0337140108676193 +0.0369555944944718
+0.0405272438142572 +0.0444133902408899 +0.0486875408901671 +0.0533060180057008
+0.0581305585991732 +0.0631589516688083 +0.0685135825633891 +0.0743436504844123
+0.0807263421637745 +0.0876346869841360 +0.0950173156952642 +0.1028330515710487
+0.1112490051114348 +0.1206252992725145 +0.1308070831726230 +0.1418407087175444
+0.1537754979023556 +0.1665051406441406 +0.1807489451192759 +0.1943091263901711
+0.2077724006608040 +0.2220985407950473 +0.2370793778325402 +0.2530348727361619
+0.2720555870179162 +0.2927611225930828 +0.3147813215513454 +0.3378464021072047
+0.3602675576122047 +0.3836429879873798 +0.4078555574671012 +0.4341521917186041
+0.4611883142773756 +0.4894891060584420 +0.5189450495193382 +0.5490129627486343
+0.5803121668810837 +0.6122113239806998 +0.6491135895599781 +0.6862803816361756
+0.7238997791747536 +0.7559450292020927 +0.7825129203857084 +0.8090808115693242
+0.8344001980933838 +0.8588481007022630 +0.8832960033111423 +0.9076218920051395
+0.9307164190038546 +0.9538109460025697 +0.9769054730012846 +1.0000000000000000
-0.0039725939432780 +0.0119417926133474 +0.0237292401204733 +0.0356403632462237
+0.0473623069674041 +0.0588905230044875 +0.0700342563562345 +0.0810027368804026
+0.0918823108434449 +0.1027378968350937 +0.1140353863779854 +0.1253712799878753
+0.1359236613654324 +0.1465024674160443 +0.1574887046290114 +0.1685117859149395
+0.1797218705439236 +0.1911918978104313 +0.2032510549996648 +0.2149640841176182
+0.2264249776841656 +0.2370589341510384 +0.2474328664019927 +0.2584717831546269
+0.2697293688050137 +0.2811572393311516 +0.2924559392744622 +0.3020981236641557
+0.3117403080538493 +0.3210750349313281 +0.3303834659242567 +0.3394446225155072
+0.3483910634655615 +0.3582237445552673 +0.3696706903260391 +0.3811429654216065
+0.3926373058727348 +0.4046525031790102 +0.4168527672822626 +0.4281272929992317
+0.4391809892681257 +0.4491463748077593 +0.4590748973618478 +0.4685683647171625
+0.4780618320724773 +0.4881184416524678 +0.4982492205314357 +0.5096355574775073
+0.5213415325981574 +0.5344711436771982 +0.5471416700272191 +0.5592555220117921
+0.5714414856805808 +0.5836358326015134 +0.5951624557867912 +0.6063060443241235
+0.6160823208098086 +0.6258141109890851 +0.6350838514845447 +0.6443535919800043
+0.6506643828060656 +0.6564131093612149 +0.6621618359163641 +0.6679953052626241
+0.6741356748570999 +0.6802760444515757 +0.6864164140460516 +0.6926629980322774
+0.6989323420239115 +0.7052016860155458 +0.7151543458921399 +0.7287832203652066
+0.7405970623289418 +0.7521975090460992 +0.7631566311816961 +0.7739838850317531
+0.7845027342424632 +0.7949983318956613 +0.8054442792602312 +0.8161186044989567
+0.8272682284954096 +0.8384951730048471 +0.8498143498380801 +0.8615446212024167
+0.8735317103648242 +0.8857617771026639 +0.8979968622081833 +0.9100991950156860
+0.9217427274717859 +0.9328418635616375 +0.9440048790921552 +0.9552140922886146
+0.9659993514583990 +0.9766211471728991 +0.9881652283997379 +1.0000000000000000
-0.0035811106363934 +0.0138043660495369 +0.0252523412960639 +0.0346894189778994
+0.0440425791316800 +0.0531577092669964 +0.0622728394023128 +0.0710146088867995
+0.0797468359411242 +0.0898117981710606 +0.1008056570873169 +0.1110456134600694
+0.1209536002682767 +0.1309387369095973 +0.1409771320046334 +0.1508827658614517
+0.1606639899932570 +0.1705984994018341 +0.1807765208915445 +0.1909050130260200
+0.2009371075632379 +0.2103250510243110 +0.2179055119397269 +0.2254859728551429
+0.2331093499775703 +0.2407732324464335 +0.2484371149152967 +0.2559537399349762
+0.2634326421928761 +0.2709274588204527 +0.2799281653844390 +0.2889288719484253
+0.2978186564674041 +0.3066599520731685 +0.3142415916527311 +0.3193721001190639
+0.3245026085853968 +0.3296331170517297 +0.3348096854077880 +0.3401054123215944
+0.3454011392354009 +0.3506968661492073 +0.3559868729631095 +0.3612660098943882
+0.3665451468256669 +0.3718242837569455 +0.3791289870622989 +0.3894918632151223
+0.3997818653723332 +0.4099569504429346 +0.4203113023161142 +0.4310127541451103
+0.4414356238396096 +0.4514296509933397 +0.4615194937894155 +0.4718233841425849
+0.4821990841059239 +0.4927528955537488 +0.5036993360333371 +0.5155062771863944
+0.5273435595256397 +0.5392057850856730 +0.5504344064388973 +0.5614971765132351
+0.5715742357284448 +0.5815530345809291 +0.5915774504650015 +0.6016117720566343
+0.6117564240978495 +0.6219387638752580 +0.6328560998215986 +0.6440893975813919
+0.6551352030886139 +0.6661465516489725 +0.6776379233847128 +0.6892424704271785
+0.7013802293744696 +0.7138600778414878 +0.7267987001322626 +0.7403065827164453
+0.7539420374957836 +0.7675776161337615 +0.7803597213138990 +0.7928750625828173
+0.8053991509321722 +0.8181372071199950 +0.8311554193635365 +0.8462341388937834
+0.8625221410929512 +0.8796482712797646 +0.8967976781932433 +0.9141764470692846
+0.9321951415721957 +0.9516664900638229 +0.9745712273542094 +1.0000000000000000
-0.0041558782259623 +0.0421210829654369 +0.0728036210201914 +0.0964663267121033
+0.1157922761454353 +0.1322328314546646 +0.1467179025401935 +0.1599616251150229
+0.1728319582954650 +0.1853194021140570 +0.1961294826203589 +0.2065846868709528
+0.2167843315205797 +0.2269326489519155 +0.2367954254405049 +0.2465776005433462
+0.2560711910291892 +0.2654094848675780 +0.2744377818386531 +0.2830365477081007
+0.2916353135775482 +0.2999912965872285 +0.3083463911148390 +0.3169000960621480
+0.3256501482242638 +0.3344084598533220 +0.3432262531331069 +0.3520440464128918
+0.3608517068371513 +0.3696561547672327 +0.3780321580857713 +0.3857465593958867
+0.3934609607060021 +0.4009208616562386 +0.4082677400595598 +0.4156146184628810
+0.4227843025072482 +0.4299243722489020 +0.4370644419905558 +0.4445563462280184
+0.4520711073622649 +0.4596506660793656 +0.4675541894388505 +0.4754577127983355
+0.4830600853147248 +0.4903961719615377 +0.4977322586083506 +0.5053600847047157
+0.5131184444549696 +0.5208757467489812 +0.5284453795289407 +0.5360150123089003
+0.5436996394377973 +0.5517231172574900 +0.5597465950771828 +0.5676937548207904
+0.5756010413841776 +0.5834952553718934 +0.5908118460306803 +0.5981284366894670
+0.6054653844367777 +0.6128984871925636 +0.6203315899483496 +0.6268274938007249
+0.6317408605506823 +0.6366542273006398 +0.6415675940505973 +0.6465203018872926
+0.6517321383552098 +0.6569439748231271 +0.6621558112910444 +0.6673837357680512
+0.6727151875485510 +0.6780466393290507 +0.6833780911095506 +0.6897851625278961
+0.6998577560078811 +0.7100324002996997 +0.7207486418348308 +0.7316109453455231
+0.7430082520765372 +0.7545608154742058 +0.7663597756456106 +0.7785937047703920
+0.7910932655392546 +0.8041629470929285 +0.8173578542208706 +0.8307240803681770
+0.8437087512894895 +0.8567396678851551 +0.8703668899596482 +0.8850413145182368
+0.9020076443296740 +0.9244792305687372 +0.9535514659715765 +1.0000000000000000
0.000155429914251 -1
<DiscreteSamp
Helicity
1 # grid_type. 1=='ref', 2=='run'
80 # Attribute 'min_bin_
1 # Attribute 'grid_mode' of the grid. 1=='default'
0.030 # Attribute 'small_
0.333 # Attribute 'damping_power' of the grid.
# binID n_entries weight weight_sqr abs_weight
1 1663 0.000396769505995 4.90690805858e-06 0.000396769505995
36 1629 0.000344848080473 1.37027878946e-06 0.000344848080473
12 261 4.43870559852e-05 7.65569155348e-09 4.43870559852e-05
25 305 4.29785651091e-05 7.00240682762e-09 4.29785651091e-05
16 80 2.39110016934e-05 4.03579270113e-08 2.39110016934e-05
32 80 1.93159231401e-05 8.67081759439e-09 1.93159231401e-05
5 80 1.10799499173e-05 1.29566108618e-09 1.10799499173e-05
9 80 8.13914649118e-06 9.24038132287e-10 8.13914649118e-06
28 80 7.72978581741e-06 7.97795515297e-10 7.72978581741e-06
18 80 3.38390100641e-06 1.4492514864e-10 3.38390100641e-06
19 80 1.92760543745e-06 2.83888030175e-11 1.92760543745e-06
10 80 1.71712113548e-06 1.8230553568e-11 1.71712113548e-06
27 80 1.70945637924e-06 1.8745065086e-11 1.70945637924e-06
21 80 1.66814709166e-06 2.05936905057e-10 1.66814709166e-06
33 80 8.13670754941e-07 6.14562961124e-12 8.13670754941e-07
4 80 7.90962685235e-07 6.15517035847e-12 7.90962685235e-07
22 80 7.83304632481e-07 5.36566495771e-12 7.83304632481e-07
35 80 7.82836236393e-07 6.07847870116e-12 7.82836236393e-07
2 80 7.81075962936e-07 6.07823072943e-12 7.81075962936e-07
26 80 7.41268070756e-07 5.20224352984e-12 7.41268070756e-07
11 80 7.32056131859e-07 5.13721571732e-12 7.32056131859e-07
15 80 7.2318849244e-07 5.07219562019e-12 7.2318849244e-07
7 80 7.16831031789e-07 6.91526497289e-12 7.16831031789e-07
30 80 6.85248209061e-07 6.56823475446e-12 6.85248209061e-07
3 80 6.42018838378e-07 6.44848911646e-12 6.42018838378e-07
34 80 6.33895320192e-07 6.36686267277e-12 6.33895320192e-07
23 80 6.30516089169e-07 1.49150740617e-11 6.30516089169e-07
14 80 4.84749345721e-07 1.32152920187e-11 4.84749345721e-07
24 80 2.09337832893e-07 9.93331926996e-13 2.09337832893e-07
20 80 2.09337832893e-07 9.93331926988e-13 2.09337832893e-07
13 80 2.09337832825e-07 9.93331928833e-13 2.09337832825e-07
17 80 2.09337832824e-07 9.9333192883e-13 2.09337832824e-07
31 80 5.25152115616e-08 1.6669773096e-13 5.25152115616e-08
6 80 5.25152115607e-08 1.6669773095e-13 5.25152115607e-08
29 80 5.25152115604e-08 1.66697730945e-13 5.25152115604e-08
8 80 5.18666056052e-08 1.64614014233e-13 5.18666056052e-08
</DiscreteSam
<DiscreteSamp
grouped_processes
1 # grid_type. 1=='ref', 2=='run'
10 # Attribute 'min_bin_
1 # Attribute 'grid_mode' of the grid. 1=='default'
0.030 # Attribute 'small_
0.333 # Attribute 'damping_power' of the grid.
# binID n_entries weight weight_sqr abs_weight
10 10 290574.041619 1.16594623795e+11 290574.041619
</DiscreteSam
Jay Sandesara (jaysandesara) said : | #3 |
Oh and the dubug log says the following:
#******
#* MadGraph5_
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 2.7.3 2020-06-21 *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https:/
#* *
#******
#* *
#* Command File for MadEvent *
#* *
#* run as ./bin/madevent.py filename *
#* *
#******
generate_events run_01
Traceback (most recent call last):
File "/home/
return self.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
self.
File "/home/
original_
File "/home/
postcmd=False)
File "/home/
stop = Cmd.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
cross, error = self.make_
File "/home/
return sum_html.
File "/home/
Presults = collect_result(cmd, folder_
File "/home/
P_comb.
File "/home/
oneresult.
File "/home/
finput = open(filepath)
IOError: [Errno 2] No such file or directory: '/home/
Related File: /home/net3/
automatic_
cluster_
I face some python3 issue related to slurm cluster for loop induced process (which should not be your issue since it seems that you still run python2).
Now the code is running with python3 and I will see if I can reproduce the issue on our cluster.
Cheers,
Olivier
> On 16 Nov 2020, at 06:35, Jay Sandesara <email address hidden> wrote:
>
> Question #694001 on MadGraph5_aMC@NLO changed:
> https:/
>
> Status: Answered => Open
>
> Jay Sandesara is still having a problem:
> Hey Olivier,
>
> This same process runs fine on multicore mode, so it might not be a
> process fault.
>
> I figured out after some trial and error that this issue only happened
> when re-'launch'ing the process from the same output directory twice,
> using cluster mode. Also note that these issues only happen for loop
> induced processes.
>
> Making a fresh directory and launching that I get the following error
> now:
>
> INFO: End survey
> refine 10000
> Creating Jobs
> INFO: Refine results to 10000
> INFO: Generating 10000.0 unweighted events.
> Error when reading /home/net3/
> Command "generate_events run_02" interrupted with error:
> IOError : [Errno 2] No such file or directory: '/home/
> z/G2.2/results.dat'
> Please report this bug on https:/
> More information is found in '/home/
> Please attach this file to your report.
> INFO:
>
>
> And insude the G2.2 directory I only have a 'ftn25' file with the following text:
>
> -0.0000071472770509 +0.0000591141206259 +0.0001118915191760 +0.0001586070965117
> +0.0001994365145220 +0.0002421029975097 +0.0002926953314754 +0.0003523487460095
> +0.0004236863352670 +0.0005052667349680 +0.0005992735090596 +0.0007104595265422
> +0.0008391451560580 +0.0009829571308225 +0.0011476448366913 +0.0013381770143287
> +0.0015554971619234 +0.0018044210464499 +0.0020817286656952 +0.0023957776249037
> +0.0027574988763947 +0.0031563452966326 +0.0036079496484904 +0.0041142041451001
> +0.0046682646098808 +0.0052921375532616 +0.0060071903786130 +0.0068121548619855
> +0.0076895892725127 +0.0086403304029830 +0.0096706209410779 +0.0108243592167447
> +0.0120823342676093 +0.0134291494846810 +0.0149085493099759 +0.0165694498392576
> +0.0184115066212627 +0.0203742264510825 +0.0225402749439121 +0.0249928926104955
> +0.0277203761138055 +0.0306143167750027 +0.0337140108676193 +0.0369555944944718
> +0.0405272438142572 +0.0444133902408899 +0.0486875408901671 +0.0533060180057008
> +0.0581305585991732 +0.0631589516688083 +0.0685135825633891 +0.0743436504844123
> +0.0807263421637745 +0.0876346869841360 +0.0950173156952642 +0.1028330515710487
> +0.1112490051114348 +0.1206252992725145 +0.1308070831726230 +0.1418407087175444
> +0.1537754979023556 +0.1665051406441406 +0.1807489451192759 +0.1943091263901711
> +0.2077724006608040 +0.2220985407950473 +0.2370793778325402 +0.2530348727361619
> +0.2720555870179162 +0.2927611225930828 +0.3147813215513454 +0.3378464021072047
> +0.3602675576122047 +0.3836429879873798 +0.4078555574671012 +0.4341521917186041
> +0.4611883142773756 +0.4894891060584420 +0.5189450495193382 +0.5490129627486343
> +0.5803121668810837 +0.6122113239806998 +0.6491135895599781 +0.6862803816361756
> +0.7238997791747536 +0.7559450292020927 +0.7825129203857084 +0.8090808115693242
> +0.8344001980933838 +0.8588481007022630 +0.8832960033111423 +0.9076218920051395
> +0.9307164190038546 +0.9538109460025697 +0.9769054730012846 +1.0000000000000000
> -0.0039725939432780 +0.0119417926133474 +0.0237292401204733 +0.0356403632462237
> +0.0473623069674041 +0.0588905230044875 +0.0700342563562345 +0.0810027368804026
> +0.0918823108434449 +0.1027378968350937 +0.1140353863779854 +0.1253712799878753
> +0.1359236613654324 +0.1465024674160443 +0.1574887046290114 +0.1685117859149395
> +0.1797218705439236 +0.1911918978104313 +0.2032510549996648 +0.2149640841176182
> +0.2264249776841656 +0.2370589341510384 +0.2474328664019927 +0.2584717831546269
> +0.2697293688050137 +0.2811572393311516 +0.2924559392744622 +0.3020981236641557
> +0.3117403080538493 +0.3210750349313281 +0.3303834659242567 +0.3394446225155072
> +0.3483910634655615 +0.3582237445552673 +0.3696706903260391 +0.3811429654216065
> +0.3926373058727348 +0.4046525031790102 +0.4168527672822626 +0.4281272929992317
> +0.4391809892681257 +0.4491463748077593 +0.4590748973618478 +0.4685683647171625
> +0.4780618320724773 +0.4881184416524678 +0.4982492205314357 +0.5096355574775073
> +0.5213415325981574 +0.5344711436771982 +0.5471416700272191 +0.5592555220117921
> +0.5714414856805808 +0.5836358326015134 +0.5951624557867912 +0.6063060443241235
> +0.6160823208098086 +0.6258141109890851 +0.6350838514845447 +0.6443535919800043
> +0.6506643828060656 +0.6564131093612149 +0.6621618359163641 +0.6679953052626241
> +0.6741356748570999 +0.6802760444515757 +0.6864164140460516 +0.6926629980322774
> +0.6989323420239115 +0.7052016860155458 +0.7151543458921399 +0.7287832203652066
> +0.7405970623289418 +0.7521975090460992 +0.7631566311816961 +0.7739838850317531
> +0.7845027342424632 +0.7949983318956613 +0.8054442792602312 +0.8161186044989567
> +0.8272682284954096 +0.8384951730048471 +0.8498143498380801 +0.8615446212024167
> +0.8735317103648242 +0.8857617771026639 +0.8979968622081833 +0.9100991950156860
> +0.9217427274717859 +0.9328418635616375 +0.9440048790921552 +0.9552140922886146
> +0.9659993514583990 +0.9766211471728991 +0.9881652283997379 +1.0000000000000000
> -0.0035811106363934 +0.0138043660495369 +0.0252523412960639 +0.0346894189778994
> +0.0440425791316800 +0.0531577092669964 +0.0622728394023128 +0.0710146088867995
> +0.0797468359411242 +0.0898117981710606 +0.1008056570873169 +0.1110456134600694
> +0.1209536002682767 +0.1309387369095973 +0.1409771320046334 +0.1508827658614517
> +0.1606639899932570 +0.1705984994018341 +0.1807765208915445 +0.1909050130260200
> +0.2009371075632379 +0.2103250510243110 +0.2179055119397269 +0.2254859728551429
> +0.2331093499775703 +0.2407732324464335 +0.2484371149152967 +0.2559537399349762
> +0.2634326421928761 +0.2709274588204527 +0.2799281653844390 +0.2889288719484253
> +0.2978186564674041 +0.3066599520731685 +0.3142415916527311 +0.3193721001190639
> +0.3245026085853968 +0.3296331170517297 +0.3348096854077880 +0.3401054123215944
> +0.3454011392354009 +0.3506968661492073 +0.3559868729631095 +0.3612660098943882
> +0.3665451468256669 +0.3718242837569455 +0.3791289870622989 +0.3894918632151223
> +0.3997818653723332 +0.4099569504429346 +0.4203113023161142 +0.4310127541451103
> +0.4414356238396096 +0.4514296509933397 +0.4615194937894155 +0.4718233841425849
> +0.4821990841059239 +0.4927528955537488 +0.5036993360333371 +0.5155062771863944
> +0.5273435595256397 +0.5392057850856730 +0.5504344064388973 +0.5614971765132351
> +0.5715742357284448 +0.5815530345809291 +0.5915774504650015 +0.6016117720566343
> +0.6117564240978495 +0.6219387638752580 +0.6328560998215986 +0.6440893975813919
> +0.6551352030886139 +0.6661465516489725 +0.6776379233847128 +0.6892424704271785
> +0.7013802293744696 +0.7138600778414878 +0.7267987001322626 +0.7403065827164453
> +0.7539420374957836 +0.7675776161337615 +0.7803597213138990 +0.7928750625828173
> +0.8053991509321722 +0.8181372071199950 +0.8311554193635365 +0.8462341388937834
> +0.8625221410929512 +0.8796482712797646 +0.8967976781932433 +0.9141764470692846
> +0.9321951415721957 +0.9516664900638229 +0.9745712273542094 +1.0000000000000000
> -0.0041558782259623 +0.0421210829654369 +0.0728036210201914 +0.0964663267121033
> +0.1157922761454353 +0.1322328314546646 +0.1467179025401935 +0.1599616251150229
> +0.1728319582954650 +0.1853194021140570 +0.1961294826203589 +0.2065846868709528
> +0.2167843315205797 +0.2269326489519155 +0.2367954254405049 +0.2465776005433462
> +0.2560711910291892 +0.2654094848675780 +0.2744377818386531 +0.2830365477081007
> +0.2916353135775482 +0.2999912965872285 +0.3083463911148390 +0.3169000960621480
> +0.3256501482242638 +0.3344084598533220 +0.3432262531331069 +0.3520440464128918
> +0.3608517068371513 +0.3696561547672327 +0.3780321580857713 +0.3857465593958867
> +0.3934609607060021 +0.4009208616562386 +0.4082677400595598 +0.4156146184628810
> +0.4227843025072482 +0.4299243722489020 +0.4370644419905558 +0.4445563462280184
> +0.4520711073622649 +0.4596506660793656 +0.4675541894388505 +0.4754577127983355
> +0.4830600853147248 +0.4903961719615377 +0.4977322586083506 +0.5053600847047157
> +0.5131184444549696 +0.5208757467489812 +0.5284453795289407 +0.5360150123089003
> +0.5436996394377973 +0.5517231172574900 +0.5597465950771828 +0.5676937548207904
> +0.5756010413841776 +0.5834952553718934 +0.5908118460306803 +0.5981284366894670
> +0.6054653844367777 +0.6128984871925636 +0.6203315899483496 +0.6268274938007249
> +0.6317408605506823 +0.6366542273006398 +0.6415675940505973 +0.6465203018872926
> +0.6517321383552098 +0.6569439748231271 +0.6621558112910444 +0.6673837357680512
> +0.6727151875485510 +0.6780466393290507 +0.6833780911095506 +0.6897851625278961
> +0.6998577560078811 +0.7100324002996997 +0.7207486418348308 +0.7316109453455231
> +0.7430082520765372 +0.7545608154742058 +0.7663597756456106 +0.7785937047703920
> +0.7910932655392546 +0.8041629470929285 +0.8173578542208706 +0.8307240803681770
> +0.8437087512894895 +0.8567396678851551 +0.8703668899596482 +0.8850413145182368
> +0.9020076443296740 +0.9244792305687372 +0.9535514659715765 +1.0000000000000000
> 0.000155429914251 -1
> <DiscreteSample
> Helicity
> 1 # grid_type. 1=='ref', 2=='run'
> 80 # Attribute 'min_bin_
> 1 # Attribute 'grid_mode' of the grid. 1=='default'
> 0.030 # Attribute 'small_
> 0.333 # Attribute 'damping_power' of the grid.
> # binID n_entries weight weight_sqr abs_weight
> 1 1663 0.000396769505995 4.90690805858e-06 0.000396769505995
> 36 1629 0.000344848080473 1.37027878946e-06 0.000344848080473
> 12 261 4.43870559852e-05 7.65569155348e-09 4.43870559852e-05
> 25 305 4.29785651091e-05 7.00240682762e-09 4.29785651091e-05
> 16 80 2.39110016934e-05 4.03579270113e-08 2.39110016934e-05
> 32 80 1.93159231401e-05 8.67081759439e-09 1.93159231401e-05
> 5 80 1.10799499173e-05 1.29566108618e-09 1.10799499173e-05
> 9 80 8.13914649118e-06 9.24038132287e-10 8.13914649118e-06
> 28 80 7.72978581741e-06 7.97795515297e-10 7.72978581741e-06
> 18 80 3.38390100641e-06 1.4492514864e-10 3.38390100641e-06
> 19 80 1.92760543745e-06 2.83888030175e-11 1.92760543745e-06
> 10 80 1.71712113548e-06 1.8230553568e-11 1.71712113548e-06
> 27 80 1.70945637924e-06 1.8745065086e-11 1.70945637924e-06
> 21 80 1.66814709166e-06 2.05936905057e-10 1.66814709166e-06
> 33 80 8.13670754941e-07 6.14562961124e-12 8.13670754941e-07
> 4 80 7.90962685235e-07 6.15517035847e-12 7.90962685235e-07
> 22 80 7.83304632481e-07 5.36566495771e-12 7.83304632481e-07
> 35 80 7.82836236393e-07 6.07847870116e-12 7.82836236393e-07
> 2 80 7.81075962936e-07 6.07823072943e-12 7.81075962936e-07
> 26 80 7.41268070756e-07 5.20224352984e-12 7.41268070756e-07
> 11 80 7.32056131859e-07 5.13721571732e-12 7.32056131859e-07
> 15 80 7.2318849244e-07 5.07219562019e-12 7.2318849244e-07
> 7 80 7.16831031789e-07 6.91526497289e-12 7.16831031789e-07
> 30 80 6.85248209061e-07 6.56823475446e-12 6.85248209061e-07
> 3 80 6.42018838378e-07 6.44848911646e-12 6.42018838378e-07
> 34 80 6.33895320192e-07 6.36686267277e-12 6.33895320192e-07
> 23 80 6.30516089169e-07 1.49150740617e-11 6.30516089169e-07
> 14 80 4.84749345721e-07 1.32152920187e-11 4.84749345721e-07
> 24 80 2.09337832893e-07 9.93331926996e-13 2.09337832893e-07
> 20 80 2.09337832893e-07 9.93331926988e-13 2.09337832893e-07
> 13 80 2.09337832825e-07 9.93331928833e-13 2.09337832825e-07
> 17 80 2.09337832824e-07 9.9333192883e-13 2.09337832824e-07
> 31 80 5.25152115616e-08 1.6669773096e-13 5.25152115616e-08
> 6 80 5.25152115607e-08 1.6669773095e-13 5.25152115607e-08
> 29 80 5.25152115604e-08 1.66697730945e-13 5.25152115604e-08
> 8 80 5.18666056052e-08 1.64614014233e-13 5.18666056052e-08
> </DiscreteSampl
> <DiscreteSample
> grouped_processes
> 1 # grid_type. 1=='ref', 2=='run'
> 10 # Attribute 'min_bin_
> 1 # Attribute 'grid_mode' of the grid. 1=='default'
> 0.030 # Attribute 'small_
> 0.333 # Attribute 'damping_power' of the grid.
> # binID n_entries weight weight_sqr abs_weight
> 10 10 290574.041619 1.16594623795e+11 290574.041619
> </DiscreteSampl
>
> --
> You received this question notification because you are an answer
> contact for MadGraph5_aMC@NLO.
Jay Sandesara (jaysandesara) said : | #5 |
Hey Olivier,
It seems your initial assumption might be right and this might be a singularity issue. To further investigate, I downloaded MG v2.5.5 and ran the same process on cluster mode. There, with all the default cuts of v2.5.5, sometimes it ran successfully and got the gridpack generated and sometimes it didnt. Interestingly though, this only happens in cluster mode and not multicore mode. With multicore, it always runs successfully.
Can you help with this problem?
Provide an answer of your own, or ask Jay Sandesara for more information if necessary.