Presentation is loading. Please wait.

Presentation is loading. Please wait.

Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Post Processing & Pass4 The time for DC2 is drawing to a close. However we're still only part ways up the.

Published by Modified over 9 years ago

Similar presentations

Presentation on theme: "Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Post Processing & Pass4 The time for DC2 is drawing to a close. However we're still only part ways up the."— Presentation transcript:

1 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Post Processing & Pass4 The time for DC2 is drawing to a close. However we're still only part ways up the "learning curve" for Bkg. Rej. Can't quit Now! This analysis Input: (repeated) 1) First day of 5B Bkg. Run: dataset v7r3p5 (Includes rocking) 2) Extra Galactic Diff: dataset v7r3p5 3) All Gamma rep-V7r3p4 dataset, runs 401-800 All these datasets are "CTnew" mean application of the cuts shown by Julie prior to download

2 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 2 Tkr1Z0 > 590 CTBGAM >.35 & McDirErr <.1 Top Side Ribbons Ribbon Geometry locations from Joanne: YSide =min(abs(Tkr1Y0 - abs( (832.6-abs(Tkr1X0))/Tkr1XDir) * Tkr1YDir), 742) ZYSide=min(abs(Tkr1Z0 - abs( (832.6-abs(Tkr1X0))/Tkr1XDir) * Tkr1ZDir), 800) XSide =min(abs(Tkr1X0 - abs( (832.6-abs(Tkr1Y0))/Tkr1YDir) * Tkr1XDir), 742) ZXSide=min(abs(Tkr1Z0 - abs( (832.6-abs(Tkr1Y0))/Tkr1YDir) * Tkr1ZDir), 800) ZTop=ifelse(abs(Tkr1X0) > 503.5, 760.1, ifelse(abs(Tkr1X0) > 179.5, 747.1, 733.7)) YSideTop=abs(Tkr1Y0 - abs((ZTop - Tkr1Z0)/Tkr1ZDir)*Tkr1YDir) Correlated Events in the Top Extend this down the sides cutting out strips 10 mm wide Input Y Side X Side Top Cut Summary Bkg: 964 - 4.7% All Gam: 3046 - 2.9% Dealing with ACD Ribbons

3 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 3 Heavy Ion Filter CTBBestEnergy > 1000 & ((CalTransRms - 1.5*Tkr1ToTTrAve) < 5) & CTBGAM >.5 What's Eliminated Cut Summary Bkg: 43 -.22% All Gam: 14 -.014% Scrambled Tracks Filter (Tkr1FirstLayer - Tkr2FirstLayer) 2 & Tkr2TkrHDoca > 10 & (CTBGAM+.16*CTBBestLogEnergy) < 1.32 Cut Summary Bkg: 1284 - 6.6% All Gam: 435 -.42%

4 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 4 Hi Energy e- Filter ((min(abs(Tkr1XDir),abs(Tkr1YDir)) 0 & AcdActDistTileEnergy >.2) | (Tkr1SSDVeto -3 & AcdActDistTileEnergy >.15) | ( AcdActiveDist3D >(-30 + 30*(Tkr1FirstLayer-2))) ) & (CTBGAM+.17*CTBBestLogEnergy)< 1.75 Cut Summary Bkg: 87 -.48% All Gam: 591 -.59% Cosmic Proton Filter Tkr1FirstLayer -80 & ((AcdActDistTileEnergy + AcdActiveDist3D/100) > 1) Cut Summary Bkg: 20 -.11% All Gam: 21 -.021% Events cut out

5 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 5 Anti-Correlated Filter CTBBestEnergy < 500 & ((CalCsIRLn + 2.5*Tkr1CORERatio) < 8 | Tkr1CORERatio <.03) Cut Summary Bkg: 5386 - 35% All Gam: 3280 - 3.3% Global Ribbon Extension & AcdCornerDoca Extension ( AcdRibbonEnergy >.2 & AcdRibbonActDist > -10) | (AcdCornerDoca > -5 & AcdCornerDoca < 50 & CTBTkrLATEdge < 200) Cut Summary Bkg: 50 -.33% All Gam: 439 -.44% No Plots... CTBGAM = CTBGAM*min(2.0, (3.5/min(CTBBestLogEnergy, 3.5))^2) Last – Boost CTBGAM Prob. below 3.2 GeV partially fills in dip in sensitivity

6 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 6 Base Class 3 – No Post-Processing Filters Base Class 3 – Post-Processing Filters & CTBGAM Boost at Low Energy CTBGAM >.5

7 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 7 Class 3 + Post Process

8 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 8.5 Class 3 + Post Processing

9 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 9 And the spectral response is better behaved.... Class 3 + Post Processing

10 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 10 Pass 4 Punch List 1)Change event axis in CalValsCorrTool to Tkr1 definition (thanks – P. Bruel) 2)New ACD Variable (addition to AcdValsTool) Distance of closest approach to an ACD Ribbon (whether not Ribbon fired) Suggested Alg.: a) determine if trajectory goes out top (0) or which of the 4 sides (1-4). b) depending on entering surface – loop over all ribbon segments c) keep and report smallest value. This avoids having to check the POCA for each DOCA calc. and limits the sampled ribbon segments to only those on the entering surface. Suggested nTuple Var. name: AcdTkrRibbonDoca 3) New Tkr. Vars. (Additions to TkrValsTool) TkrLATEdge = 742 – max(abs(Tkr1X0), abs(Tkr1Y0)) (presently this appears as CTBTrkLATEdge in the nTuple) Track Dispersion: Mean-square distance between track start locations relative to Tkr1 if else where If N Tkrs < 2 TrkDispersion = 0.

11 Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 11 4)New Trk-Cal Variables – Where to put them? – Historically these have gone into CalValsTool. CalTkrXtalDispersion: Dispersion of Cal. Xtals about Tkr1 Tracjectory weighted by energy (?) CalTkrXtalDispTrunc: Same as above after throughing out 10% furthest (Not largest contributors) tracks Data Reprocessing Requirements Data: the All Gamma Run (V7r3p4 which is a repo of v7r3p1) – need 2M Background: the 5B run using v7r3p5 Diffuse: the 1 day using v7r3p5

Download ppt "Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Post Processing & Pass4 The time for DC2 is drawing to a close. However we're still only part ways up the."

Similar presentations

Bill Atwood, Dec. 2002 GLAST 1 GLAST Energy or Humpty-Dumpty’s Revenge A Statement of the Problem Divide and Conquer strategy Easiest: Leakage (Depth)

Bill Atwood, Dec GLAST 1 GLAST Energy or Humpty-Dumpty’s Revenge A Statement of the Problem Divide and Conquer strategy Easiest: Leakage (Depth)
Writing linear equations in Slope-Intercept Form It’s easier than you think…

Writing linear equations in Slope-Intercept Form It’s easier than you think…
Bill Atwood, SCIPP/UCSC, June, 2004 GLAST 1 Tracker SAS Analysis Objective: To expose the tools and an approach to understanding the GLAST Tracker Initially.

Bill Atwood, SCIPP/UCSC, June, 2004 GLAST 1 Tracker SAS Analysis Objective: To expose the tools and an approach to understanding the GLAST Tracker Initially.
Bill Atwood, August, 2003 GLAST 1 Covariance & GLAST Agenda Review of Covariance Application to GLAST Kalman Covariance Present Status.

Bill Atwood, August, 2003 GLAST 1 Covariance & GLAST Agenda Review of Covariance Application to GLAST Kalman Covariance Present Status.
Bill Atwood, SCIPP/UCSC, May 8, 2006 GLAST 1 Partial validation of v9r3 - Bkg. Rej. Comparison 2000 sec. of backgrounds were run using v9r3 (heros: Tom.

Bill Atwood, SCIPP/UCSC, May 8, 2006 GLAST 1 Partial validation of v9r3 - Bkg. Rej. Comparison 2000 sec. of backgrounds were run using v9r3 (heros: Tom.
GLAST LAT ProjectIA Workshop 6 – Feb28,2006 Preliminary Studies on the dependence of Arrival Time distributions in the LAT using CAL Low Energy Trigger.

GLAST LAT ProjectIA Workshop 6 – Feb28,2006 Preliminary Studies on the dependence of Arrival Time distributions in the LAT using CAL Low Energy Trigger.
SVAC/ISOCInstrument Analysis Workshop, February 27, 2006 Anders W. Borgland 1 Overview Of LAT Data Taking Anders W. Borgland Science Verification, Analysis.

SVAC/ISOCInstrument Analysis Workshop, February 27, 2006 Anders W. Borgland 1 Overview Of LAT Data Taking Anders W. Borgland Science Verification, Analysis.
Bill Atwood, SCIPP/UCSC, Apr. 3, 2006 GLAST 1 Pass 4 and Preparing for the LAT Handoff to NASA Why we can't go with the DC2 Analysis (Pass 3) 1) Background.

Bill Atwood, SCIPP/UCSC, Apr. 3, 2006 GLAST 1 Pass 4 and Preparing for the LAT Handoff to NASA Why we can't go with the DC2 Analysis (Pass 3) 1) Background.
S. Ritz1 Checking Out What is Checked In  Need to optimize balance of checking between users and developers. –infuse more of a culture of detailed checking.

S. Ritz1 Checking Out What is Checked In  Need to optimize balance of checking between users and developers. –infuse more of a culture of detailed checking.
Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Closer to Reality From Last Talk ( 7-Jan-06) – things seemed Great! However... 1) In estimating the SRD.

Bill Atwood, SCIPP/UCSC, Jan. 30, 2006 GLAST 1 Closer to Reality From Last Talk ( 7-Jan-06) – things seemed Great! However... 1) In estimating the SRD.
Bill Atwood, SCIPP/UCSC, Oct, 2005 GLAST 1 DC2 Discussion – What Next? 1)Alternatives - Bill's IM analysis - ???? 2)Backing the IM Analysis into Gleam.

Bill Atwood, SCIPP/UCSC, Oct, 2005 GLAST 1 DC2 Discussion – What Next? 1)Alternatives - Bill's IM analysis - ???? 2)Backing the IM Analysis into Gleam.
AcdActiveDist3D Plots It should be the case that AcdActiveDist3D < sqrt(2) x AcdActiveDist AND IT IS!

AcdActiveDist3D Plots It should be the case that AcdActiveDist3D < sqrt(2) x AcdActiveDist AND IT IS!
T. Burnett: IRF status 30-Jan-061 DC2 IRF Status Meeting agenda, references at:

T. Burnett: IRF status 30-Jan-061 DC2 IRF Status Meeting agenda, references at:
David WrenDC1 Closeout, 13 February 20041 OnboardFilter Update Work done by: Navid Golpayegani J.J. Russell David Wren Data Challenge I Closeout Meeting,

David WrenDC1 Closeout, 13 February OnboardFilter Update Work done by: Navid Golpayegani J.J. Russell David Wren Data Challenge I Closeout Meeting,
Bill Atwood, SCIPP/UCSC, Oct, 2005 GLAST 1 Background Files Available Processed 500M v7r2 Bkg. events run at SLAC Processed 2M v7r2 All Gammas Processed.

Bill Atwood, SCIPP/UCSC, Oct, 2005 GLAST 1 Background Files Available Processed 500M v7r2 Bkg. events run at SLAC Processed 2M v7r2 All Gammas Processed.
Bill Atwood, Core Meeting, 9-Oct. 2002 GLAS T 1 Finding and Fitting A Recast of Traditional GLAST Finding: Combo A Recast of the Kalman Filter Setting.

Bill Atwood, Core Meeting, 9-Oct GLAS T 1 Finding and Fitting A Recast of Traditional GLAST Finding: Combo A Recast of the Kalman Filter Setting.
Bill Atwood, SCIPP/UCSC, Dec., 2003 GLAST 1 DC1 Instrument Response Agenda Where are we? V3R3P7 Classification Trees Covariance Scaled PSF Pair Energies.

Bill Atwood, SCIPP/UCSC, Dec., 2003 GLAST 1 DC1 Instrument Response Agenda Where are we? V3R3P7 Classification Trees Covariance Scaled PSF Pair Energies.
Bill Atwood, SCIPP/UCSC, Nov, 2003 GLAST 1 Update on Rome Results Agenda A eff Fall-off past 10 GeV V3R3P7 Classification Trees Covariance Scaled PSFs.

Bill Atwood, SCIPP/UCSC, Nov, 2003 GLAST 1 Update on Rome Results Agenda A eff Fall-off past 10 GeV V3R3P7 Classification Trees Covariance Scaled PSFs.
Bill Atwood, SCIPP/UCSC, August, 2005 GLAST 1 Energy Method Selections Data Set: All Gamma (GR-HEAD1.615) Parametric Tracker Last Layer Profile 4 Methods.

Bill Atwood, SCIPP/UCSC, August, 2005 GLAST 1 Energy Method Selections Data Set: All Gamma (GR-HEAD1.615) Parametric Tracker Last Layer Profile 4 Methods.
Bill Atwood, SCIPP/UCSC, Dec., 2003 GLAST ALL GAMMAs using the New Recons First runs of ALL GAMMA – from glast-ts and SLAC Unix farm glast-ts sample: no.

Bill Atwood, SCIPP/UCSC, Dec., 2003 GLAST ALL GAMMAs using the New Recons First runs of ALL GAMMA – from glast-ts and SLAC Unix farm glast-ts sample: no.

Similar presentations

Ads by Google