ALFA (HALF-HALF) RESOLUTION STUDY

BRUTE FORCE == Care about efficiency later! (2 Feb 2007)

  • Run 10638 used (HV = 950V)
  • Total number of events 200k
  • All results obtained from:
    Residual of two tracks reconstructed by one half of alfa each
  • Plane selection:
    Staggering value from note (ATL-LUM-PUB-2006-007) / 0.707:
    [0.4, 0.8, 0.2, 0.6, 0.0, 0.9, 0.3, 0.7, 0.1, 0.5]
    --> The "naively choosen" two sets,1-5 / 6-10, looks optimal

  • Selection criteria:
  • S1: Each event must have one U and one V fiber hit in both ALFA halfs
  • S2: Events selected only within 2mm from the middle of ALFA (i.e. good central region)
  • S3: Events selected only if total number of hits equal 16 to 22.
  • S4: Events selected only if the number of layers with more than 1 hist are less than 3

  • Case I (only X-coordinate. Y is consistent)
  • One candidate hit per layer selected. The first hit found in a layer selected, starting from the first fiber (i.e. What was used online == BAD algo.!)
  • Reconstruct track using Over Lap algorithm
  • S1 & S2: Accepted Events = 41015, Sigma = 72um
  • S1&S2&S3: AE = 24681, Sigma = 64um
  • S1&S2&S4 AE = 18701, Sigma = 62 um
  • S1&S2&S3&S4 AE = 17291, Sigma = 60um
  • Fit range, -0.15 to 0.15, used allways
  • Clearly (seen in plot, where the number of entries show the selection criteria wrt above) the fit range is not optimal...
  • Compatible (according to my memory) with what we saw online during testbeam, i.e. 58-56 after fiddeling with the fit range and strong similar cuts.

pic1

  • Case IV (IV is for private log book reasons)
  • One candidate hit per layer selected by the closest one wrt a seed track obtained by Hough Transform method
    (persented briefly in talk 6, meeting http://indico.cern.ch/conferenceDisplay.py?confId=a06490 )
  • Reconstruct track using Over Lap algorithm
  • S1: Accepted Events =115797
  • S1 & S2: Accepted Events = 35166, Sigma = 56um
  • S1&S2&S3: AE = 21339, Sigma = 53um
  • S1&S2&S4 AE = 16606, Sigma = 53 um
  • S1&S2&S3&S4 AE = 15466, Sigma = 52um
  • Fit range, -0.15 to 0.15, used allways
  • QUITE A LOT BETTER!

pic2

  • Case XXX (Futuer)
  • 3D Reconstruction and angular cuts......

The Ideal MC Simulation (6 Feb 2007, update 28 Feb)

  • The old (online) and new reconstruction give the same results for the fibersim (Christian) MC,
    ie makes sense since the MC only contain real hits.
  • Full MC detector resolution = 20um, Half-half resolution = 44um

Thoughts on Efficiency (6 Feb 2007, update 28 Feb)

  • OBS: Trigger is 10x10mm2 !
  • It seems like the assumption that the beam is uniformly distributed over the trigger surface is NOT valid,
    i.e. no conclusion about the absolute reconstruction efficiency can be made.
  • To have the "chambers" (in the data) might be a good idea for a enxt TB to monitor the beam location and size.
  • The plots below are obtained by the online reco. alg. using all 20 layers.

  • OLD (WRONG) ARGUMENTS FOR THE EFFICIENCY:
  • Assuming that the trigger, defined by S88, is 100% efficient and that the
    beam is uniform over the 8x8mm trigger surface, the reconstruction efficiency should
    be approximately, eff ~ (N_evt_spot / N_evt_triggered) / (pi*2**2 / 8x8)
  • Errors are of course pretty unknown !!
  • It should of course be reconstruction efficiency below and not trigger efficiency !!

pic3

Full vs Half detector resolution discussion (15 Feb 2007, update 28 Feb)

  • Full detector:
  • Theoretical sigma = 500/(10*sqrt(12)) = 14.4um (best possible!)
  • Sigma MC = 20um

  • MC = sqrt( 14.4**2 + X**2 ) = 20 --> X=14um
    A 14um contribution to the resolution was estimated from geometrical imperfections in the metrology note.
    Constant error (perhaps also from cladding... (?)) which only becomes significant at maximum ALFA performance...
    Beyond X, comes contribution from cladding, noise, alignment....

  • Half detector:
  • Theoretical sigma = 500/(5*sqrt(12)) = 28.8 um (best possible !)
  • Assume still X=14 --> sigma = sqrt(28.8**2 + 14**2) = 32um
  • MC = 44/sqrt(2) = 31um

  • Half detector (H1) data:
  • Sigma H1 = 55/sqrt(2) = 39um
  • Sigma ALFA = sqrt(H1**2 + 3*X**2)/2 ~ 23um

Angle Scan

  • All runs at 900V
  • The theta_x scan (left plots) was done first and the theta_y scan (right plots) was done with the optimal theta_x angle.
  • WARNING: The colors in the plots below are a bit mixed (red = y in left plots and x in right plots)

  • The residual mean as a function of angle.
  • A systematic shift between H1 and H2 is obtained due to the rotation and is about 12.5*sin(theta) as expected.
pic1 pic1

  • The resolution as function of angle
  • Fit range is chosen individually and the min sigma is about 59um.
  • The high statistics runs were taken with theta_x = 2.1 and theta_y = -7.5 mrad.
pic1 pic1

Note Draft

-- StefanAsk - 02 Mar 2007

Topic attachments
I Attachment History Action Size Date Who Comment
GIFgif ALFA_eff.gif r1 manage 38.4 K 2007-02-06 - 19:00 StefanAsk  
JPEGjpg ALFA_eff.jpg r2 r1 manage 38.4 K 2007-02-06 - 18:59 StefanAsk  
GIFgif Mean_TX.gif r1 manage 14.3 K 2007-03-07 - 17:04 StefanAsk  
GIFgif Mean_TY.gif r1 manage 13.2 K 2007-03-07 - 17:04 StefanAsk  
GIFgif Mean_TY_Axis.gif r1 manage 241.9 K 2007-03-07 - 11:28 StefanAsk  
GIFgif Sigma_TX.gif r1 manage 15.3 K 2007-03-07 - 17:04 StefanAsk  
GIFgif Sigma_TX_Axis.gif r1 manage 241.9 K 2007-03-07 - 11:21 StefanAsk  
GIFgif Sigma_TX_Opt_Axis.gif r1 manage 241.9 K 2007-03-07 - 11:22 StefanAsk  
GIFgif Sigma_TY.gif r1 manage 14.8 K 2007-03-07 - 17:04 StefanAsk  
GIFgif Sigma_TY_Axis.gif r1 manage 241.9 K 2007-03-07 - 11:21 StefanAsk  
GIFgif Sigma_TY_Opt_Axis.gif r1 manage 241.9 K 2007-03-07 - 11:22 StefanAsk  
GIFgif X_Resolution_I.gif r1 manage 241.9 K 2007-02-02 - 17:44 StefanAsk  
GIFgif X_Resolution_IV.gif r1 manage 241.9 K 2007-02-02 - 17:44 StefanAsk  
Unknown file formatgz alfa_note_tb06res.tar.gz r1 manage 49.4 K 2007-03-02 - 15:31 StefanAsk  
Unknown file formatgz note_080307.tar.gz r1 manage 80.2 K 2007-03-08 - 14:14 StefanAsk  
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Topic revision: r11 - 2007-03-08 - StefanAsk
 
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