Mar 14, 2022 discussion with Chuck, Mona, Jyoti, Kristjan, Georgi, Jana, Silke, 

• will integrate with andor (1D) (most important, VLS, fall 2022), rixccd (1D) (not far behind andor), epixm (2D) (least important), opal-replacement, maybe exit-slit-manta
  • some 1D will need to be 2D for droplet algorithms
• need to know precisely which shots contribute to the images
  • will depend on how precisely camera shuttering is controllable (expect epixm to be precise, others to be imprecise)
    • if a camera shutter is not precisely controllable (andor, rixccd) we will use DAQ sequencing which is less efficient use of the beam. have to run in "burst mode". need to check with Matt.  georgi wants high efficiency ~90%.  Longer exposures improve efficiency, but can introduce problems.
    • precisely controllable shutters (e.g. epixm) can be done with readout-groups instead of daq sequences
• typically will want to sum over the high rate detectors, e.g. to get an I-zero, but for ATM need to learn distribution (e.g. RMS)
• not clear how we handle the psana parallelization with integrating detectors

RIX Analysis Algorithms

complex algorithms, calibration constants? (e.g. backgrounds)

• XPCS gaussian fitting? (epixm for the moment, timepix eventually) computing photons-per-pixel.  Chuck thinks conventional algorithms might be too slow.  need gpu/ai.  Satya is working on it.
• droplet algorithm (including centroiding)
• image curvature correction before projecting (polynomial fit, done once, not per-event)

do we still write out MHz data to h5?

there is a rix "analysis toolkit" on GitHub