Phil Marshall Meeting 2017/06/29

Validating Bigmali At Scale Series:

Mass Mapping:

Information Analysis:


  • 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.