C&A 17April06 1 Point Source Detection and Localization using DC2 pulsars Toby Burnett University of Washington.

Slides:



Advertisements
Similar presentations
P u t y o u r h e a d o n m y s h o u l d e r.
Advertisements

Siddharth Choudhary.  Refines a visual reconstruction to produce jointly optimal 3D structure and viewing parameters  ‘bundle’ refers to the bundle.
Generated Waypoint Efficiency: The efficiency considered here is defined as follows: As can be seen from the graph, for the obstruction radius values (200,
Chapter 10: Hypothesis Testing
Classification and Prediction: Regression Via Gradient Descent Optimization Bamshad Mobasher DePaul University.
Re-ranking for NP-Chunking: Maximum-Entropy Framework By: Mona Vajihollahi.
7 June 06 1 UW Point Source Detection and Localization: Compare with DC2 truth Toby Burnett University of Washington.
1cs542g-term Notes  Extra class this Friday 1-2pm  If you want to receive s about the course (and are auditing) send me .
Hidden Markov Models Lecture 5, Tuesday April 15, 2003.
Marcus Ziegler SCIPP/UCSCPulsar VRVS Meeting 1 Light curves from pulsars found in a blind search in the DC2 data Gamma-ray Large Area Space Telescope Marcus.
C&A 1 May 06 1 Point Source Detection and Localization Update Using the UW HealPixel database on DC2_2 data Toby Burnett University of Washington.
Counting And all That WALTA Meeting Toby Burnett, UW.
C&A 8 May 06 1 Point Source Localization: Optimizing the CTBCORE cut Toby Burnett University of Washington.
Source detection at Saclay Look for a fast method to find sources over the whole sky Provide list of positions, allowing to run maximum likelihood locally.
Robust Real-Time Object Detection Paul Viola & Michael Jones.
C&A 10April06 1 Point Source Detection and Localization Using the UW HealPixel database Toby Burnett University of Washington.
THB Source Catalog Meeting 12/21/05 1 Healpixels and Wavelets Toby Burnett and Bruce Lesnick University of Washington.
GLAST LAT Project 1S. Ritz DC1 Closeout Introduction February 2004 Steven Ritz Gamma-ray Large Area Space Telescope.
Classification and Regression Trees for Glast Analysis: to IM or not to IM? Toby Burnett Data Challenge Meeting 15 June 2003.
GLAST LAT Project SLAC Jan. 12, 2004 Hammer-Aitoff map.
Chi-square Goodness of Fit Test

Computer Vision Spring ,-685 Instructor: S. Narasimhan Wean Hall 5409 T-R 10:30am – 11:50am.
Iterative Methods for Solving Linear Systems Leo Magallon & Morgan Ulloa.
1 Naïve Bayes Models for Probability Estimation Daniel Lowd University of Washington (Joint work with Pedro Domingos)
T. Burnett C&A 31 July 06 Study of the G4 stepping cut value Toby Burnett and Anthony Nardozza (senior physics student) Are the results at all sensitive.
October, 2006 © Copyright 2006, Larry A. Beaty. Copying and distribution of this document is permitted in any medium, provided this notice is preserved.
THE RADIO SCRIPT Writing radio packages Image by Media Helping Media available under Creative Commons.
Spectral analysis on faint extended sources: problems and strategies. Gamma-ray Large Area Space Telescope Omar Tibolla Padova University DC2 Closeout.
A statistical test for point source searches - Aart Heijboer - AWG - Cern june 2002 A statistical test for point source searches Aart Heijboer contents:
Kalanand Mishra April 27, Branching Ratio Measurements of Decays D 0  π - π + π 0, D 0  K - K + π 0 Relative to D 0  K - π + π 0 Giampiero Mancinelli,
Source catalog generation Aim: Build the LAT source catalog (1, 3, 5 years) Jean Ballet, CEA SaclayGSFC, 29 June 2005 Four main functions: Find unknown.
Fermi LAT Monash University Nov 21, 2009 R.DuboisFermi LAT Science Analysis Tutorial1 Issues in a Nutshell LS5039 Low stats: 4k photons in 1 yr Strong.
Lecture notes for Stat 231: Pattern Recognition and Machine Learning 1. Stat 231. A.L. Yuille. Fall 2004 AdaBoost.. Binary Classification. Read 9.5 Duda,
CSCI-100 Introduction to Computing
GLAST LAT Project Catalogs and Diffuse Emissions Working Groups G. Tosti et al.SLAC, May Gino Tosti, Claudia Cecchi INFN Perugia based on Francesca.
Multiple Regression. Simple Regression in detail Y i = β o + β 1 x i + ε i Where Y => Dependent variable X => Independent variable β o => Model parameter.
Section 8.6: Alternating Series -. An Alternating Series is of the form or (with a k >0)
Analysis methods for Milky Way dark matter halo detection Aaron Sander 1, Larry Wai 2, Brian Winer 1, Richard Hughes 1, and Igor Moskalenko 2 1 Department.
Estimating Numbers Lesson 29. Math Vocabulary To “estimate” a # means: A close guess of the actual value, usually with some thought or calculation involved.
GLAST LAT Project DC2 Closeout Workshop, GSFC, 31 May-2 June Comparisons of Searches for Sources in the DC2 Data S. W. Digel Stanford Linear Accelerator.
How to detect the change of model for fitting. 2 dimensional polynomial 3 dimensional polynomial Prepare for simple model (for example, 2D polynomial.
Data assimilation for weather forecasting G.W. Inverarity 06/05/15.
Source catalog generation for DC2 Aim (in order of priority): 1.Improve on source detection algorithm and error box. 2.Provide a list of source identifications.
All even numbers are divisible by 2 Even numbers are numbers that end with either 0, 2, 4, 6, or 8.
Project Overview CSE 6367 – Computer Vision Vassilis Athitsos University of Texas at Arlington.
Mehdi Ghayoumi MSB rm 132 Ofc hr: Thur, a Machine Learning.
Projects Project 1a due this Friday Project 1b will go out on Friday to be done in pairs start looking for a partner now.
Does your logistic regression model suck?. PERFECTION!
Clustering Approaches Ka-Lok Ng Department of Bioinformatics Asia University.
T. Burnett: Anagroup 5/24/04 1 Latest PSF and Point-source sensitivity prediction status Anagroup meeting Toby Burnett 24 May 04.
M. Ellis - MICE Collaboration Meeting - Wednesday 27th October Sci-Fi Tracker Performance Software Status –RF background simulation –Beam simulation.
Encoders The inverse function of a decoder. Priority Encoder resolve the ambiguity of illegal inputs only one of the input is encoded D 3 has the highest.
All-sky source search Aim: Look for a fast method to find sources over the whole sky Selection criteria Algorithms Iteration Simulations Energy information.
Measuring polarization at gamma-rays with Fermi
Supervised Learning in ANNs
Pulsar Blind search in the DC2 data
DC2 pulsars analysis: a population point-of-view
Source Detection by Count Excess
Erik Strahler UW-Madison 4/27/2008
The pointing calibration of the WFCTA tracking system
Wavelet Analysis for Sources Detection
All-sky source search issues
UW “Source Detection” Status
Discrete Event Simulation - 4
The Gedanken Experiment
Wavelet method for source detection in GLAST photon-counting images
G0 Beam Polarization T. Horn, D. Gaskell Jefferson Lab
Let A = {image} and B = {image} . Compare A and B.
Nonlinear Fitting.
Presentation transcript:

C&A 17April06 1 Point Source Detection and Localization using DC2 pulsars Toby Burnett University of Washington

C&A 17April06 2 How good is the UW localization? I showed this last time: Do I believe the localization error? (Projected sigma) Many of the DC2 catalog sources are 3-4  away. Seth raised this question with me, and suggested a method to check: the pulsar positions were generated according to the ephemeris catalog positions: so I know the truth for all 100! Algorithm: Newton’s method, add gradient and curvature for all levels, iterate until small change. Determine error circle radius from curvature. –Note that a simple “weighted sum” is not a good estimator, in fact disastrous if  ≤2. Note differs by (0.018, ) from catalog position, 4 sigma away. How about a strong source? Vela localization is deg. Example: MRF320

C&A 17April06 3 Fitting the pulsar ephemeris sources Table has 100 entries, one duplicate position –62 detected, good fit. Resolutions from to 0.15 degrees –20 apparently detected, but not localized (too weak, confusing background?) –17 not detected

C&A 17April06 4 The brightest sources Two sources are much more significant for localization (since very hard) than Vela (PSR_B0833m45) Geminga (PSR_J0633p1746) almost as good as Vela, Crab (PSR_B0531p21) factor of 2 worse. Fit converged for PSR_B1706m44, but apparent confusion

C&A 17April06 5 Status Error looks OK, validating likelihood analysis. Some anomalies, (more for less significant sources), will wait for the new runs to study