Summary of yet another Photonics Workshop AMANDA/IceCube Collaboration Meeting Berkeley, March 19, 2005.

Slides:



Advertisements
Similar presentations
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.
Advertisements

AMANDA Lessons Antarctic Muon And Neutrino Detector Array.
Approaches to Data Acquisition The LCA depends upon data acquisition Qualitative vs. Quantitative –While some quantitative analysis is appropriate, inappropriate.
PROGRESS ON WATER PROPERTIES ON TRACKS RECONSTRUCTION Harold Yepes-Ramirez 09/11/2011.
IMPACT OF WATER OPTICAL PROPERTIES ON RECONSTRUCTION: HINTS FROM THE OB DATA. A PRELIMINARY STUDY ANTARES Collaboration Meeting CERN, February 07 th -10.
M. Kowalski Search for Neutrino-Induced Cascades in AMANDA II Marek Kowalski DESY-Zeuthen Workshop on Ultra High Energy Neutrino Telescopes Chiba,
Calibration of the 10inch PMT for IceCube Experiment 03UM1106 Kazuhiro Fujimoto A thesis submitted in partial fulfillment of the requirements of the degree.
Sean Grullon Waveform-Based Reconstruction for EHE Cascades.
Phun with Photonics Phun with Photonics Berkeley IceCube Collaboration Meeting Michelangelo D’Agostino UC Berkeley March 20, 2005.
The ANTARES experiment is currently the largest underwater neutrino telescope and is taking high quality data since Sea water is used as the detection.
IceCube: String 21 reconstruction Dmitry Chirkin, LBNL Presented by Spencer Klein LLH reconstruction algorithm Reconstruction of digital waveforms Muon.
DHCAL - Resolution (S)DHCAL Meeting January 15, 2014 Lyon, France Burak Bilki, José Repond and Lei Xia Argonne National Laboratory.
Status of gravitational lens paper Internal note: Results of the optical properties of sea water in the ANTARES site with the OB system.
Kate Husband Cambridge University, UK Development of an Online Filter for Selection of Cascade-like Events in IceCube Supervisor: Eike Middell.
Reconstruction PDF in Inhomogeneous Ice Ribordy & Japaridze Université de Mons-Hainaut AMANDA/ICECUBE Berkeley – March '05.
Photonics Workshop Summary (IceCube style) Taking steps to address baseline change - Adopted forward-looking approach - Deliverables and milestones defined.
Photon propagation and ice properties Bootcamp UW Madison Dmitry Chirkin, UW Madison r air bubble photon.
March 02, Shahid Hussain for the ICECUBE collaboration University of Delaware, USA.
Cascade and Flasher Workshop Welcome! n Logistics n Agenda n Goals Spencer Klein, LBNL.
Determination of True Attenuation Lengths using SPASE-AMANDA Coincidence Data Tim Miller JHU/APL.
Standard Candle, Flasher, and Cascade Simulations in IceCube Michelangelo D’Agostino UC Berkeley PSU Analysis Meeting June 21-24, 2006.
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.
Data collected during the year 2006 by the first 9 strings of IceCube can be used to measure the energy spectrum of the atmospheric muon neutrino flux.
Detection of electromagnetic showers along muon tracks Salvatore Mangano (IFIC)
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.
The AMANDA-II Telescope - Status and First Results - Ralf Wischnewski / DESY-Zeuthen for the AMANDA Collaboration TAUP2001, September.
Ciro Bigongiari, Salvatore Mangano Results of the optical properties of sea water with the OB system.
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.
Photonics Tables Bin Optimization Kyle Mandli Paolo Desiati University of Wisconsin – Madison Wuppertal AMANDA Collaboration Meeting.
IceCube Calibration Overview Kurt Woschnagg University of California, Berkeley MANTS 2009 Berlin, 25 September identical sensors in ultraclean,
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,
Status of Sirene Maarten de Jong. What?  Sirene is yet another program that simulates the detector response to muons and showers  It uses a general.
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.
1 Ciro Bigongiari, Salvatore Mangano Results of the optical properties of sea water with the OB system.
Ciro Bigongiari, Salvatore Mangano, Results of the optical properties of sea water with the OB system.
IceCube simulation with PPC Dmitry Chirkin, UW Madison, 2010 effective scattering coefficient (from Ryan Bay)
Tau31 Tracking Efficiency at BaBar Ian Nugent UNIVERSITY OF VICTORIA Sept 2005 Outline Introduction  Decays Efficiency Charge Asymmetry Pt Dependence.
Status of Detector Characterization a.k.a. Calibration & Monitoring Project Year 2 objectives ( → Mar ‘04) 1. Calibration plan (first draft in March.
Muon Energy reconstruction in IceCube and neutrino flux measurement Dmitry Chirkin, University of Wisconsin at Madison, U.S.A., MANTS meeting, fall 2009.
Status of Sirene Maarten de Jong. What?  Sirene is a program that simulates the detector response to muons and showers  It is based on the formalism.
Photon propagation and ice properties Bootcamp UW Madison Dmitry Chirkin, UW Madison r air bubble photon.
Water Properties Phone Conference1 Light Generation in KM3 and Photonics Corey Reed (Nikhef) Photon Studies KM3 MC MMC+Photonics Summary.
Light Propagation in the South Pole Ice
Imaging the Neutrino Universe with AMANDA and IceCube
South Pole Ice model Dmitry Chirkin, UW, Madison.
IceCube Collaboration Meeting Ghent, October 9, 2007
2nd edition Amasim and Photonics Stephan Hundertmark
Simulation in IceCube Science Advisory Committee Meeting Paolo Desiati
Calculation of detector characteristics for KM3NeT
South Pole Ice (SPICE) model
SPICECUBE.
String 21 Flashers and AMANDA
Freeze-In and Hole Ice Studies with Flashers
Mieke Bouwhuis on behalf of the ANTARES collaboration
Light Sources for AMANDA/IceCube Cross-Calibration
Karen Andeena, Katherine Rawlinsb, Chihwa Song*a
Ice Investigation with PPC
Photonics Implementation
String-21 Flasher Analysis
Preliminary Comparison of Monte Carlo and 9-string IceCube Data
CORSIKA bug and other updates
Unfolding performance Data - Monte Carlo comparison
Geometry and Timing Verification with Flashers
Photonics Workshop AMANDA/IceCube Collaboration Meeting Berkeley, March 19, 2005 Going the last mile…
Status report on CATA-01/POLA-01 coincidence measurements
Presentation transcript:

Summary of yet another Photonics Workshop AMANDA/IceCube Collaboration Meeting Berkeley, March 19, 2005

Ice Model Basics Need to describe Fphoton(A,t) around light sources (muon tracks, cascades, flashers, standard candles) for simulations of AMANDA events Tables of Fphoton(A,t) are calculated using Monte Carlo propagation of photons through scattering and absorbing medium (ice) Dependence on distance, OM orientation, ice properties, etc Prefer to have simplifications (symmetries, averages, approximations) but must pay price for these

Light Scattering in South Pole ice flat for bubbles bubbles power-law for dust scattering by dust

Light Absorption in South Pole ice flat (weak temp. dependence) absorption by ice absorption follows dust profile

PTD vs. photonics: layering Bulk PTD Layered PTD photonics 2 3 2 1 2 3 2 1 2 3 2 average ice type 1 type 2 type 3 “real” ice

Photonics Workshop Agenda Introduction Kurt Woschnagg 10’ Photonics upgrades Thomas Burgess 10’ Status of photonics development Johan Lundberg 45’ New features Michelangelo D’Agostino 15’ Photonics with simuperl Markus Ackermann 10’ Wuppertal photonics production Christopher Wiebusch 10’ Discussion All 60’ Merging with Simulation Workshop

level2 photonics upgrades (Thomas Burgess) “Oldschool” version of photonics - one static global set of tables available - cannot unload tables New version - allow several tables loaded at once - enable table unloading - good for: finite muons multiple muons

Making photonics work (Johan Lundberg) Upgoing infinite muon Bug fixes Functionality rework: - finite muons Animations: muons in ice (bulk, layered) dN(t)/dt Light distribution dP(t)/dt Independent arriving photon pdf

New features (Michelangelo D’Agostino) Realistic flasher source (option #8) beamed flasher LED regular cosθ LED 6 tilted LEDs + 6 horizontal LEDS

New features (Michelangelo D’Agostino) 2. Hole ice (around flasher source)

High statistics table production Two sites: AliceNext (Wuppertal) SweGrid Some discrepancies between tables Make test tables Compare (Johan) If OK, high statistics tables

Using photonics in simulations (Rafael Lang) Buggy tables used for this, but still…

Photonics and IceCube Using ROMEO with Photonics Romeo simulates the waveform produced by light detection in ice needs to know photon arrival theta and wavelength for each photon estimates arrival direction, source distance and wavelength spectrum first option: produce photonics tables binned in arrival theta and wavelength (not available) too big tables and requires work on photonics (not practical) ROMEO has the needed information second option: use present tables ROMEO needs to guess arrival direction, position on photocathode and wavelengths of photons need to check estimation algorithm using photonics simulation itself estimate systematic uncertainty on waveform determination by ROMEO

Message: photonics is good to go Conclusion We have entered the post-Ped era: plenty of expertise at all levels Photonics debugged and understood we can do showers and muons tables contain what we expect them to It’s time to use it for physics simulations Message: photonics is good to go