8/27/18
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Completed
- Uploaded log-log plot of IPR vs beam energy. The conclusion that IPR increases/decreases as beam energy increases was incorrect. The main effect is the ionization cross section of a given gas species.
In Progress
- Getting familiar with GPT. So far I'm able to have a beam of ions, electrons, and neutral particles. Now need to...
- Figure out how to get them to interact (i.e. why do they not repel each other?)
- Figure out how to setup a more realistic beamline other than just quadrupoles (i.e. need to add more beam elements)
- Figure out how to color code a given species (i.e. have the electrons, ions, and neutral particles have a unique color...not sure how to do this in GPT)
- Add space charge effects
- Learning about ion dynamics from Alex Chao's lecture notes on Fast Ion Stability
Future Work
- Using GPT to model ion production and determine ion production rates...is this possible?
- According to Reiser, newly formed ions leave the beam if they are negatively charged and stay if positively charged. GPT simulations should confirm this.
- Calculating the distribution of backbombarding ions at the photocathode - need to look at their spacial distribution, energy distribution, etc. GPT should simulate this.
- Look into the effectiveness of having a gap in the beam that would allow ions to leave the beam during the gap. Answer similar questions as above. -- will be discussing how to implement this into GPT software.
- Look into effectiveness of a clearing electrode. Can a Wien filter be used as a clearing electrode? What's the non-obvious difference between a vertical Wien filter and a horizontal Wien Filter?
- Look into beam shaking as an alternative method for ion clearing.