1. SPICE Mie [mi:] Dmitry Chirkin, UW Madison

2. Updates to ppc and spice PPC: Randomized the simulation based on system time (with us resolution) Added the implementation of the simple approximate Mie scattering function New oversized DOM treatment (designed for minimum bias compared to oversize=1):  oversize only in direction perpendicular to the photon  time needed to reach the nominal (non-oversized) DOM surface is added  re-use the photon after it hits a DOM and ensure the causality in the flasher simulation Spice: Fixed code determining the closest DOMs to the current layer (when using tilted ice) Perform simultaneous global fit for py, time offset, scattering vs. absorption correlation coeff. Optimize use of high-event flasher simulation: use 250-event simulation in the dust peak, 10 elsewhere. Eventually use 250-event simulation for the entire depth range. nominal DOM oversized DOM oversized ~ 5 times photon

3. Timing of oversized DOM MC xR=1 default do not track back to detected DOM do not track after detection no ovesize delta correction! do not check causality del=(sqrtf(b*b+(1/(e.zR*e.zR-1)*c)-D)*e.zR-h del=e.R-OMR Flashing 63-50  63-48  64-48  64-52 xR=1 default

4. Simplified Mie Scattering Single radius particles, described better as smaller angles by SAM Also known as the Liu scattering function Introduced by Jon Miller

5. New approximation to Mie f SAM

6. Dependence on g= and f SAM g= f SAM 0.8 0 0.9 0 0.95 0 0.9 0.3 0.9 0.5 0.9 1.0 flashing 63-50  64-50

7. New global fit to everything in SPICE 1. For some starting values, find best values of sca ~ abs. 2. Find best values of p y, t off, f SAM,  sca,  abs, llh tot, … p y photon yield factor t off global time offset (rising edge of the flasher pulse) f SAM fraction of SAM contribution to the scattering function  sca scaling of scattering coefficient  abs scaling of absorption coefficient 3. Repeat until converged (~3 iterations) 4. Refine the fit with sca and abs independent from each other Charge only Full likelihood with timing

8. Verification with toy simulation Input table Simulated 60 x 250 events Reconstructed table with 10 event/flasher 250 event/flasher In the dust peak

9. Correlation with dust logger With 10 events/flasher, 250 in dust peakWith 250 events/flasher everywhere

10. Plots for individual flashers SPICE Mie  AHA 

11. Plots for CORSIKA/data  SPICE Mie   AHA 

12. Plots from Anne (CORSIKA IC40)

13. Plot from Jacob Feintzeig

14. SPICE Mie: ice coefficients

15. “unresolved” systematics: resolved Minimum is in the same place with both likelihoods!

16. Conclusions SPICE Mie is great  fits timing perfectly! SPICE paper is available (v. 0.01)  please comment