Vevacious error for "SSM" model generated by SARAH

[samyahaghi]

Dear All,

When I ran Vevacious for SSM model, I got the following error:
#####################################################################################
Finding all the tree-level extrema and parsing the results took 0.326898 seconds.
rm: cannot remove 'VevaciousParameterDependent.pyc': No such file or directory
rm: cannot remove './Vevacious.pyc': No such file or directory
rm: cannot remove 'Vevacious.pyc': No such file or directory
Traceback (most recent call last):
File "Vevacious.py", line 29, in <module>
EffectivePotential = VPD.LoopAndThermalCorrectedPotential )
File "/home/fly/Prog/Vevacious/VevaciousParameterDependent.py", line 808, in __init__
temperatureValue = currentTemperature )
File "/home/fly/Prog/Vevacious/VevaciousParameterDependent.py", line 711, in __init__
self.functionAtOrigin = FunctionToScale( 0.0, 0.0, 0.0 )
File "/home/fly/Prog/Vevacious/VevaciousParameterDependent.py", line 624, in LoopAndThermalCorrectedPotential
massesSquared = MassesSquared[ 0 ]( a, b )
File "/home/fly/Prog/Vevacious/VevaciousParameterDependent.py", line 562, in MassesSquared1
massSquaredElementArray.size ), -1 )
TypeError: 'float' object cannot be interpreted as an index

Minimizing the one-loop potential, calculating the tunneling time or its upper bound, and printing the results took 5.65655 seconds.

Warning! "/home/fly/Prog/Vevacious/SSM/MyResult.vout" was not produced!

Vevacious finished. Total running time was 5.99407 seconds.
######################################################################################

Can you help me to fix it? First I ran SARAH and made all needed files, second I ran Spheno and provided the parameters values, third I edited the XML file for paths and copied .vin file to a folder in Vevacious folder. Finally I ran Vevacious. Am I right?


Regards,
Sam

[Eliel]

Hi Sam,

It is hard to tell what is going on. Could you attach the model file and parameter point you are trying to run?

Best, E.

[samyahaghi]

Hi,

All the files have been attached.
Thank you for your support.


Cheers,
Sam

[FStaub]

Hi,

I guess the problem could be that for non-SUSY models SPheno calculates by default only tree-level masses. On the other side, Vevacious takes by default the one-loop effective potential. That doesn't fit together.
So, you can either try to turn on loop corrections in SPheno (using flag 55):

Code: Select all

 55 1               # Calculate loop corrected masses 

or change in Vevacious.py the considered potential:

Code: Select all

vcs = VPD.Vevacious(
              EffectivePotential = VPD.TreeLevelPotential )

Best,
Florian

[samyahaghi]

Hi Florian,

The second advise fixed the problem, but the first didn't.
Thank you for your support.


Sincerely,
Sam

[samyahaghi]

Dear Florian,

As you know if I change the one-loop effective potential to tree-level, I will lost the thermal study of the model.

Will you guide me what I should do?
It seems by turning the one-loop corrected mass on, the problem cannot be fixed.

Best,
Sam

[FStaub]

Hi,

I was checking with one-loop masses, but can't reproduce your problem: Vevacious runs without any problems.
Did you make sure that you have non-zero values in your spc file here:

Code: Select all

Block LOOPHMIX Q=  1.60000000E+02  # (Renormalization Scale)
  31   -8.34174161E-03  # K1
Block LOOPSM Q=  1.60000000E+02  # (Renormalization Scale)
   1   -8.51035830E+03  # Mu

Cheers,
Florian

[samyahaghi]

Hi again,

I checked them out, the mentioned values were non-zero.
Can you provide me your "LesHouches.in", "SPheno.spc" and ".vin" files?


Regards,
Sam

[FStaub]

Hi,

I was using your LesHouches in (just changing the flag) and .vin file. My spc is attached.

Cheers,
Florian

[samyahaghi]

Did you use my model files for SARAH or default model files of SARAH (for "SSM" model)?
Can you provide me your command lines in SARAH? Mine are:
###########################################
<< /home/fly/Prog/SARAH-4.12.1/SARAH.m
Start["SSM"]
MakeAll[]
MakeVevacious[]
###########################################

Thank you.
Best,
Sam