ELogs/JeremyOcampo: Difference between revisions
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==To do== | ==To do== | ||
* Learning Geant4 with: | * Learning Geant4 with: | ||
* Learn how to simulate the light output and 4D dose distribution from Cerenkov processes and scintillator blocks/sheets in Geant4 | ** [https://groups.lal.in2p3.fr/ED-geant4/category/2018/page/2/ ED-Geant4] - Lectures with exercises and solutions from an intro G4 workshop in 2018. | ||
** [http://geant4-userdoc.web.cern.ch/geant4-userdoc/UsersGuides/ForApplicationDeveloper/html/ Geant4 book] - Reference for G4. | |||
* Learn how to simulate the light output and 4D dose distribution from Cerenkov processes and scintillator blocks/sheets in Geant4: | |||
** Make PDD plots | |||
** Implement lens: Count no. of optical photons hitting lens given no. of primary photons. | |||
** Also find distribution of where optical light came from before hitting the lens. | |||
** Learn how to import phase space for realistic beam. | |||
* Familiarise oneself with DSLR cameras and controlling them via software. | * Familiarise oneself with DSLR cameras and controlling them via software. | ||
Revision as of 10:11, 4 March 2019
Electronic Log for Jeremy Ocampo.
To do
- Learning Geant4 with:
- ED-Geant4 - Lectures with exercises and solutions from an intro G4 workshop in 2018.
- Geant4 book - Reference for G4.
- Learn how to simulate the light output and 4D dose distribution from Cerenkov processes and scintillator blocks/sheets in Geant4:
- Make PDD plots
- Implement lens: Count no. of optical photons hitting lens given no. of primary photons.
- Also find distribution of where optical light came from before hitting the lens.
- Learn how to import phase space for realistic beam.
- Familiarise oneself with DSLR cameras and controlling them via software.
2nd term courses
- Inverse problems in imaging
- Machine learning with Big data
Group placement
- At Valtech, working on cancer patient data, making predictions with machine learning.
We are meant to spend ~1/3 of our time on this as part of the CDT in DIS. Final presentations for this are on 12th april.