Experimental setup (SPICE)

Slides:



Advertisements
Similar presentations
BEGINNING EXPERIMENTAL CONDITIONS IODINE OUTSIDE OF DIALYSIS TUBING STARCH INSIDE OF DIALYSIS TUBING.
Advertisements

SPICE Mie [mi:] Dmitry Chirkin, UW Madison. Updates to ppc and spice PPC: Randomized the simulation based on system time (with us resolution) Added the.
AMANDA Lessons Antarctic Muon And Neutrino Detector Array.
Regression and Correlation
Sean Grullon For the IceCube Collaboration Searching for High Energy Diffuse Astrophysical Neutrinos with IceCube TeV Particle Astrophysics 2009 Stanford.
Regression line – Fitting a line to data If the scatter plot shows a clear linear pattern: a straight line through the points can describe the overall.
Phun with Photonics Phun with Photonics Berkeley IceCube Collaboration Meeting Michelangelo D’Agostino UC Berkeley March 20, 2005.
L3 Muon Trigger at D0 Status Report Thomas Hebbeker for Martin Wegner, RWTH Aachen, April 2002 The D0 muon system Functionality of the L3 muon trigger.
Biostatistics Unit 9 – Regression and Correlation.
IceCube DAQ Mtg. 10,28-30 IceCube DAQ: “DOM MB to Event Builder”
IceCube: String 21 reconstruction Dmitry Chirkin, LBNL Presented by Spencer Klein LLH reconstruction algorithm Reconstruction of digital waveforms Muon.
Sample Test Reports for efficient registration error analysis and PCB manufacturing process control.
Regression Regression relationship = trend + scatter
Photon propagation and ice properties Bootcamp UW Madison Dmitry Chirkin, UW Madison r air bubble photon.
IceCube simulation with PPC Dmitry Chirkin, UW Madison photon propagation code.
IceCube Galactic Halo Analysis Carsten Rott Jan-Patrick Huelss CCAPP Mini Workshop Columbus OH August 6, m 2450 m August 6, 20091CCAPP DM Miniworkshop.
Photon propagation and ice properties Bootcamp UW Madison Dmitry Chirkin, UW Madison r air bubble photon.
Ice Investigation with PPC Dmitry Chirkin, UW (photon propagation code)
Calibrating the first four IceCube strings Kurt Woschnagg, UCB L3 Detector Characterization IceCube Collaboration Meeting, Bartol, March 2004.
Scatter Plots and Trend Lines
Line of Best fit, slope and y- intercepts MAP4C. Best fit lines 0 A line of best fit is a line drawn through data points that represents a linear relationship.
Azriel Goldschmidt AMANDA/IceCube Collaboration Meeting Laguna Beach, CA March 2003 String-18 Progress and Plans.
IceCube simulation with PPC Dmitry Chirkin, UW Madison, 2010.
South Pole Ice (SPICE) model Dmitry Chirkin, UW Madison.
Objectives Interpret data in a scatter plot. Find a line of best fit on a scatter plot by inspection.
Ice model update Dmitry Chirkin, UW Madison IceCube Collaboration meeting, Calibration session, March 2014.
IceCube simulation with PPC Photonics: 2000 – up to now Photon propagation code PPC: now.
IceCube Calibration Overview Kurt Woschnagg University of California, Berkeley MANTS 2009 Berlin, 25 September identical sensors in ultraclean,
Pad design present understanding Tel Aviv University HEP Experimental Group Ronen Ingbir Collaboration High precision design Tel-Aviv Sep.05 1.
IceCube Dust Loggers Kurt Woschnagg, Ryan Bay Physics Department, UC Berkeley Instrumentation Session IceCube Collaboration Meeting Bartol, March 2004.
South Pole Glaciology with the IceCube telescope Kurt Woschnagg University of California, Berkeley for the IceCube Collaboration Open Science Conference,
Predicting With Lines of Best Fit Draw a line of best fit for a set of data. Use a line of best fit to make predictions. Lesson 5.2.
Review of Ice Models What is an “ice model”? PTD vs. photonics What models are out there? Which one(s) should/n’t we use? Kurt Woschnagg, UCB AMANDA Collaboration.
GPU Photon Transport Simulation Studies Mary Murphy Undergraduate, UW-Madison Dmitry Chirkin IceCube at UW-Madison Tareq AbuZayyad IceCube at UW-River.
Graphing Techniques and Interpreting Graphs. Introduction A graph of your data allows you to see the following: Patterns Trends Shows Relationships between.
IceCube simulation with PPC Dmitry Chirkin, UW Madison, 2010 effective scattering coefficient (from Ryan Bay)
DirectFit reconstruction of the Aya’s two HE cascade events Dmitry Chirkin, UW Madison Method of the fit: exhaustive search simulate cascade events with.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Status of Detector Characterization a.k.a. Calibration & Monitoring Project Year 2 objectives ( → Mar ‘04) 1. Calibration plan (first draft in March.
Search for Ultra-High Energy Tau Neutrinos in IceCube Dawn Williams University of Alabama For the IceCube Collaboration The 12 th International Workshop.
Date of download: 7/5/2016 Copyright © 2016 SPIE. All rights reserved. A graph of the structure factor at volume fractions fv=0.001, 0.2, and 0.5 as a.
First All-Sky Measurement of Muon Flux with IceCube IceCube REU Summer 2008 Kristin Rosenau Advisor: Teresa Montaruli.
Photon propagation and ice properties Bootcamp UW Madison Dmitry Chirkin, UW Madison r air bubble photon.
Light Propagation in the South Pole Ice
Lesson 4.5 Topic/ Objective: To use residuals to determine how well lines of fit model data. To use linear regression to find lines of best fit. To distinguish.
South Pole Ice model Dmitry Chirkin, UW, Madison.
IceCube Collaboration Meeting Ghent, October 9, 2007
Regression and Correlation
IC40 Physics Run Preparations
South Pole Ice (SPICE) model
SPICECUBE.
String 21 Flashers and AMANDA
Freeze-In and Hole Ice Studies with Flashers
5-7 Scatter Plots and Trend Lines
Open Heavy Flavour Production at HERA
Light Sources for AMANDA/IceCube Cross-Calibration
Make interpolations and extrapolations related to how long it will take for the candle to burn to ____ cm tall or to completely burn out. line of.
Diffuse neutrino flux J. Brunner CPPM ESA/NASA/AVO/Paolo Padovani.
Water drop Equipment and setup
Notes Over 2.5 Positive Correlation Determining Correlation x
Unfolding performance Data - Monte Carlo comparison
Amanda Heffner-Wong Wichita State University Wichita, KS
Geometry and Timing Verification with Flashers
Correction Journal of Allergy and Clinical Immunology
Time-frequency representation of a musical instrument signal
Summary of yet another Photonics Workshop AMANDA/IceCube Collaboration Meeting Berkeley, March 19, 2005.
Photonics Workshop AMANDA/IceCube Collaboration Meeting Berkeley, March 19, 2005 Going the last mile…
SIGNAL Band: Very Sensitive
by Khaled Nasr, Pooja Viswanathan, and Andreas Nieder
Draw Scatter Plots and Best-Fitting Lines
Presentation transcript:

Experimental setup (SPICE)

Dust logger/EDML log matching prediction for precision of extrapolation outside IceCube is based on the correlation with SPICE model: 14% Correlation with SPICE ice model Merging Dust Logger and EDML logs

fit region (inside detector) black line: 7-string fit to flasher data gray band: scaled merged dust log (m-1) (m) extrapolation region fit region (inside detector) (outside detector)

fit region (inside detector) black line: 7-string fit to flasher data gray band: scaled merged dust log (m-1) (m) extrapolation region fit region (inside detector) (outside detector)

fit region (inside detector) black line: 7-string fit to flasher data gray band: scaled merged dust log (m) extrapolation region fit region (inside detector) (outside detector)

fit region (inside detector) black line: 7-string fit to flasher data gray band: scaled merged dust log (m) extrapolation region fit region (inside detector) (outside detector)

Model error of SPICE: ~10% > 0, 1, 10, 100, 400 p.e./event 19, 24, 57, 62, 80, 81+63 with LED pattern unfolding + with DOM efficiencies

Timeline AMANDA ice models: bulk, f125, mam, mamint, stdkurt, sudkurt, kgm, … millennium (published 2006)  AHA (2007) 55% IceCube ice models: cont.  WHAM (2011) 42% SPICE 1 (2009) 29% SPICE 2, 2+, 2x, 2y (2010) added ice layer tilt SPICE Mie (2010) fit to scattering function 29% SPICE Lea (2012) fit to scattering anisotropy 20% SPICE Next (2013) 7-string, LED unfolding 17% SPICE Next New (2014) llh fixes, DOM sensitivity fits 12%