Newt Ganugapati & Paolo Desiati

Slides:



Advertisements
Similar presentations
Update on effective volumes and energy reconstruction A. Trovato, INFN - LNS.
Advertisements

Update on diffuse extraterrestrial neutrino flux search with 2000 AMANDA-II data Jessica Hodges, Gary Hill, Jodi Cooley This version of the presentation.
London Collaboration Meeting September 29, 2005 Search for a Diffuse Flux of Muon Neutrinos using AMANDA-II Data from Jessica Hodges University.
Soudan 2 Peter Litchfield University of Minnesota For the Soudan 2 collaboration Argonne-Minnesota-Oxford-RAL-Tufts-Western Washington  Analysis of all.
PROGRESS ON WATER PROPERTIES ON TRACKS RECONSTRUCTION Harold Yepes-Ramirez 17/11/2011.
PROGRESS ON WATER PROPERTIES ON TRACKS RECONSTRUCTION Harold Yepes-Ramirez 09/11/2011.
Off-axis Simulations Peter Litchfield, Minnesota  What has been simulated?  Will the experiment work?  Can we choose a technology based on simulations?
CC analysis progress This talk: –A first attempt at calculating CC energy sensitivity using the Far Mock data MC files with full reconstruction. –Quite.
A Search for Point Sources of High Energy Neutrinos with AMANDA-B10 Scott Young, for the AMANDA collaboration UC-Irvine PhD Thesis:
In order to acquire the full physics potential of the LHC, the ATLAS electromagnetic calorimeter must be able to efficiently identify photons and electrons.
Measurement of through-going particle momentum by means of Multiple Scattering with the T600 TPC Talk given by Antonio Jesús Melgarejo (Universidad de.
Muon alignment with Cosmics: Real and Monte Carlo data S.Vecchi, S.Pozzi INFN Ferrara 37th Software Week CERN June 2009.
Piera Sapienza – VLVNT Workshop, 5-8 october 2003, Amsterdam Introduction and framework Simulation of atmospheric  (HEMAS and MUSIC) Response of a km.
IceCube: String 21 reconstruction Dmitry Chirkin, LBNL Presented by Spencer Klein LLH reconstruction algorithm Reconstruction of digital waveforms Muon.
WATER PROPERTIES WITH RECONSTRUCED TRACKS : a look to the discriminatory power from the OB analysis H Yepes -Ramirez IFIC (CSIC – Universitat de València)
Ronald Bruijn – 10 th APP Symposium Antares results and status Ronald Bruijn.
Improvement on vertex reconstruction Motivations Many peaks in vertex distributions Further study for the
Response of AMANDA-II to Cosmic Ray Muons and study of Systematics Newt,Paolo and Teresa.
1 Raghunath Ganugapati(Newt) && Paolo Desiati Event Topology Studies for detection of prompt muons in the down going muon flux IceCube Collaboration Meeting,March.
NESTOR SIMULATION TOOLS AND METHODS Antonis Leisos Hellenic Open University Vlvnt Workhop.
IceCube Galactic Halo Analysis Carsten Rott Jan-Patrick Huelss CCAPP Mini Workshop Columbus OH August 6, m 2450 m August 6, 20091CCAPP DM Miniworkshop.
Detection of electromagnetic showers along muon tracks Salvatore Mangano (IFIC)
CEA DSM Irfu Reconstruction and analysis of ANTARES 5 line data Niccolò Cottini on behalf of the ANTARES Collaboration XX th Rencontres de Blois 21 / 05.
The AMANDA-II Telescope - Status and First Results - Ralf Wischnewski / DESY-Zeuthen for the AMANDA Collaboration TAUP2001, September.
© Imperial College LondonPage 1 Tracking & Ecal Positional/Angular Resolution Hakan Yilmaz.
1 Raghunath Ganugapati(Newt) Preliminary Exam 08/27/04 Strategies for the search for prompt muons in the downgoing atmospheric muon flux with the AMANDA.
Mark Dorman UCL/RAL MINOS Collaboration Meeting Fermilab, Oct. 05 Data/MC Comparisons and Estimating the ND Flux with QE Events ● Update on QE event selection.
1 DT Local Reconstruction on CRAFT data Plots for approval CMS- Run meeting, 26/6/09 U.Gasparini, INFN & Univ.Padova on behalf of DT community [ n.b.:
STUDY OF HIGH ENERY HADRONIC INTERACTION MODELS USING CORSIKA SIMULATION Raghunath Ganugapati (Newt), John Kelley, Teresa Montaruli, and Albrecht Karle.
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.
Study of 1D Hit Error Assignment Marco Terranova, Filippo Pisano, N. Amapane, G. Cerminara.
IceCube simulation with PPC Dmitry Chirkin, UW Madison, 2010 effective scattering coefficient (from Ryan Bay)
Paolo Massarotti Kaon meeting March 2007  ±  X    X  Time measurement use neutral vertex only in order to obtain a completely independent.
Muon Energy reconstruction in IceCube and neutrino flux measurement Dmitry Chirkin, University of Wisconsin at Madison, U.S.A., MANTS meeting, fall 2009.
Upsilon production and μ-tagged jets in DØ Horst D. Wahl Florida State University (DØ collaboration) 29 April 2005 DIS April to 1 May 2005 Madison.
Light Propagation in the South Pole Ice
Jessica Hodges University of Wisconsin – Madison
South Pole Ice model Dmitry Chirkin, UW, Madison.
Signal and Background MonteCarlo generation
Measurement of water optical properties in ANTARES
Converted photons efficiency
Signal ,Background Simulation and Data
Newt Ganugapati and Teresa Montaruli
Systematic uncertainties in MonteCarlo simulations of the atmospheric muon flux in the 5-lines ANTARES detector VLVnT08 - Toulon April 2008 Annarita.
Results of dN/dt Elastic
DT Local Reconstruction on CRAFT data
(2001) Data Filtering: UPDATE
Response of AMANDA-II to Cosmic Ray Muons and study of Systematics
Comparison Of High Energy Hadronic Interaction Models
String 21 Flashers and AMANDA
08/27/04 Strategies for the search for prompt muons in the downgoing
Data Analysis in Particle Physics
Numeracy in Science – Lines of best fit
Rejection Of Background For the detection of Prompt Neutrinos
Comparison Of High Energy Hadronic Interaction Models
2.6 Draw Scatter Plots and Best-Fitting Lines
Rejection Of Background For the detection of Prompt Neutrinos
FLUCTUATIONS OF MUON ENERGY LOSSES
Topological Study of Downgoing Muon Events for the
Rejection Of Background For the detection of Prompt Neutrinos
Anisotropy of Primary Cosmic Rays
HADRONIC INTERACTION MODELS AND DPMJET-CHARM MODEL
Model Rejection Factor Plots
Photonics Implementation
Comparisons of data/mc using down-going muons
Preliminary Comparison of Monte Carlo and 9-string IceCube Data
Study of e+e- pp process using initial state radiation with BaBar
Question 27.
COMPTON SCATTERING IN FORWARD DIRECTION
University of Wisconsin-Madison
Presentation transcript:

Newt Ganugapati & Paolo Desiati Progress Talk Newt Ganugapati & Paolo Desiati

NHITS PLOT AFTER QUALITY CUTS(recap) Singles Multiples The Multiple muon background still goes with the same slope as signal and we need to get rid of them as it is a major background Signal NHITS

NHITS PLOT(recap) This plot shows the signal and the back ground distribution(singles and multiple) after making a cut on early hits. Singles Multiples Signal NHITS

Data Agreement(recap) B.G. MC B.G MC S.G M.C S.G NHITS COS(ZENITH)

Time Delay Distributions(recap) zoom Data B.G. MC Signal Time delay(ns) Time delay(ns)

Vertical Muons The time delay distribution for vertical muons(<30degrees) fits well in the region on which early hits is defined but for horizontal muons we saw is not so good? clue Angular Resolution and Misreconstructed muon Data B.G M.C Region of intrest Time delay(ns)

Time delay Distributions Data Data B.G B.G Signal Signal Time delay(ns) Time delay(ns) Strings 1-10(inner) Strings 11-20(outer)

Time delay Distributions Data The inner most strings tend to describe the time delay best and the distributions tend to deviate as we move away to outer strings. Could be a geometrical effect(will be described in detail in what follows) B.G Signal Time delay(ns) Strings 1-4(inner most)

NHITS DISTRIBUTION Singles This plot is generated after cutting on early hits (allow no early hits) on strings1-10(inner strings).Note that this region id described well and so good agreement between data and M.C is to be expected. Multiples Signal NHITS

Data Agreement(Nhits) Note the good agreement between data and M.C obtained. This is to be expected as the cut was made on distributions that agree well B.G M.C Signal NHITS

Data Agreement(Zenith) B.G MC Signal Note that the disagreement near the horizon is because of misreconstructed muons(probably up going) Cos(zenith)

Agreement(Smoothness) Note the agreement in smoothness Data B.G M.C Signal Smootallphit(2)

Agreement(ldirb) Note agreement in the direct length after the cut Data B.G MC Signal Ldirb(2)

M.C. and track fitting The montecarlo generates the time residuals from the fit by propagating the muons in the same region of ice in which the hit takes place where as data is data and hence the effect of dust layers is not taken into account when the time residual from reconstructed track is arrived. What is the implication? Angular resolution gets effected.Those early hits in clear ice might have been lost in the data where as M.C overestimates the number of early hits from those direct hits and we get misreconstructed muons with goofy time pattern.

Ice Properties The clearest ice is the one with a low scattering coefficient and hits from Photons in this region need not originate in the same layer(clear) but are propagated in this region in the M.C. and hence the early hits are likely to be over-estimated.

Geometrical Effect Dust Clear Ice Data Real Track M.C

Fraction Fraction of OM’S with greater than 1 hit in strings 1-10 is plotted here.A projection of NHITS>200 is made just to look at High energy muons.The signal which are single muons tend to have lesser values.The plot is shown Multiples Signal Keep these Fraction

NHITS DISTRIBUTION There seems to be a fair bit of separation power in this cut as well. Singles Multiples Signal NHITS

True Energy spectra Singles The intersection of signal and multiple muon occurs roughly at 30TeV Multiples Signal Log10(energy)GeV