Phil Marshall Meeting 2017/06/29
Validating Bigmali At Scale Series:
- Now a regular Sherlock consumer. Looking forward to scaling up lots of stuff moving forward.
- Already seeing return on investment from Ryden (~70pgs so far) and Schneider (~40pgs so far, big pages)
- Read H0LiCOW 5, looking forward to H0LiCOW 8
- Lightly skimmed Reddick's Thesis
- Noticed Probabilistic Cosmological Mass Mapping From Weak Lensing Shear, looks awesome.
- Saw "Phil Marshall was elected as the new spokesperson of the LSST Dark Energy Science Collaboration." - KIPAC Newsletter. Congrats.
Meeting Summary and Next Steps
- Read up on Gellman effective sample size (ESS).
- Phil sometimes uses 95% of weight as a proxy.
- Summarize for Phil.
- Wrapping Up Bigmali Mass-Luminosity Inference
- Do pen and paper analysis of error accumulation/propagation in bigmali.
- Test assumption: in low dimensions bigmali problems go away.
- See if divide and conquer could be better.
- Do analysis with Gaussians.
- Model bias and uncertainty at each step
- Final Report?
- Mass mapping notebook
- Incorporate pangloss/massinference
- Review Pangloss to see how its functionality connects.
- Characterize scaling.
- Characterize approximation - can we use normal distribution to approximate halo mass distributions?
- Is the surface smooth? Then we could use emulator.
- Ask Phil for the following resources:
- Magic Beans Tarball
- Draft of H0LiCOW 8
- Read Mcully + Wong (Weak Lensing) and Schnieder (probabilsitic mass mapping ...)
- Other topics:
- Given David's background and ICME training, fast, large scale linear algebra could be an area in Weak Lensing where we could offer a unique value proposition to the community.