Difference between revisions of "GPT/IBSimu Benchmarking Checklist"

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Checklist for GPT/IBSimu simulations and benchmarking
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Checklist for GPT/IBSimu simulations and benchmarking ionization routine
  
==GPT==
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==Done==
  
===Done===
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*Centering electron bunch through 1.5m
 +
*Ion production rate benchmarked
 +
*Using Maxwellian distribution for ion energies
 +
*GPT writeremove custom element: outputs data for particles that leave the simulation - can be plotted using Mathematica to see where electrons/ions hit the beampipe, e.g.
  
===In Progress===
 
  
===To Be Done===
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==In Progress==
  
==IBSimu==
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*Space charge routine benchmarked against analytical theory for GPT simulations (works specifically for spacecharge3D routine)
 +
*DC and bunched e-beam simulations
  
===Done===
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*Benchmarking secondary electron production
  
===In Progress===
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==To Be Done==
 +
 
 +
*Create (simple) simulation for benchmarking using everything (ionization, gun E-field, real B-field values, vacuum conditions, same initial distribution, etc.)
 +
*For GPT:
 +
**Use local vacuum data in ionization routine (instead of assuming constant gas density)
 +
**Derive approximation for SEDCS for gas species other than H2 and He
 +
 
 +
 
 +
[[Ionization Effects Meetings | Go to Ionization Effects Meetings]]
 +
 
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[[Ionization Effects | Return to Ionization Effects]]

Latest revision as of 14:54, 22 April 2020

Checklist for GPT/IBSimu simulations and benchmarking ionization routine

Done

  • Centering electron bunch through 1.5m
  • Ion production rate benchmarked
  • Using Maxwellian distribution for ion energies
  • GPT writeremove custom element: outputs data for particles that leave the simulation - can be plotted using Mathematica to see where electrons/ions hit the beampipe, e.g.


In Progress

  • Space charge routine benchmarked against analytical theory for GPT simulations (works specifically for spacecharge3D routine)
  • DC and bunched e-beam simulations
  • Benchmarking secondary electron production

To Be Done

  • Create (simple) simulation for benchmarking using everything (ionization, gun E-field, real B-field values, vacuum conditions, same initial distribution, etc.)
  • For GPT:
    • Use local vacuum data in ionization routine (instead of assuming constant gas density)
    • Derive approximation for SEDCS for gas species other than H2 and He


Go to Ionization Effects Meetings

Return to Ionization Effects