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Feb 6/25 PionLT/KaonLT Analysis Meeting Notes
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---------------------------------------------
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(Notes by GH)
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Today: PionLT will be discussed first
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Present
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-------
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Regina - Garth Huber, Alicia Postuma, Muhammad Junaid, Ali Usman, Nacer Hamdi,
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Vijay Kumar, Nathan Heinrich
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CSULA - Konrad Aniol
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FIU - Pete Markowitz
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Virginia - Richard Trotta
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CUA - Tanja Horn
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JLab - Dave Gaskell
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Short discussion on status of High Q^2 p(e,e'K+)Sigma0 analysis
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- Richard and Tanja had a discussion
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- There are 2 main parts to this analysis
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a) Sigma0 L/T-separated cross sections (where statistics allow)
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b) g_pKLambda and g_pKSigma coupling constant comparison
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- Richard would appreciate Gabi and Ioana's help on the cross section analaysis
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- GH will put Gabi and Ioana in contact with Richard
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Junaid
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------
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PionLT data analysis - HMS magnetic optics
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- currently using phi offsets=0 for both spectrometers
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- looked at some old files (Stephen's online analysis) and found non-zero
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offsets, SHMS: -8E-4 rad, HMS: 4.9E-3 rad
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- Richard: we discussed this before
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See Nov 21/24 meeting notes at:
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https://redmine.jlab.org/attachments/2673
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- agreement that the offsets are set during the ME fitting and should not
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change
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- Dave: low momentum HMS ME should come from 6 GeV era
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- Ali: thought Holly made a newer set of low momentum HMS ME in the 2017
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commissioning period
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- Tanja: take a look at
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https://hallcweb.jlab.org/wiki/index.php?title=12_GeV_HMS_Optics_Data
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this page lists ME only for >5 GeV/c from the commissioning period,
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nothing listed for low momentum region which must come from 6 GeV
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- for higher energy ME, using NPS offsets, for lower energy using zero offset
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- Dave: *NB* will check, has seen various offset values floating around
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- implemented NPS ME for 5.8, 6.1, 6.7 GeV/c, work still in progress for 5.6
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GeV/c
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Next steps:
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- setting up for Pass 2 Physics replay
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- implemented Nathan's boiling correction to Qeff script
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Nathan
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------
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- no report, please send comments on WNPPC slides by email
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Richard
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-------
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KaonLT Q2=4.4, W=2.74 analysis
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- adjusted and simplified parameterization
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sigT=p5*exp(-|p6 t|)*QdepT
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where QdepT=exp*(-Q^4)/Q^2
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sigTT=(p13*QdepTT)*ft*sin^2(theta)
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where QdepTT=Q^2*exp(-Q^2)
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both use Wfac=1/(W^2-m^2)^2
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- putting absolute values in the exponentials helped keep things well behaved
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- obtain nice agreement in focal plane and physics distribution shapes between
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data and MC
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- the only issue is that the ratios are 0.2-0.4
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- will have to adjust Wfac, we know from Q2=3.0 analysis that this made a big
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difference in the Data/MC ratios
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Alicia
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Geant4 proton absorption correction
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- gave an overview of the PA classes defined
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- added an option to turn/off NGC in detectors.dat
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- SHMS exit window is moved forward when NGC not in place
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- only the most dense aerogel is implemented so far
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- target and SHMS entrance windows are included
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- had to add Cherenkov NPE to custom stepping action class
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- event generation:
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- printed out focal plane variables for a data run into a txt file and reads
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into Geant4, so actual focal plane distribution is simulated
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- events are generated at center of LH2 target, where for the target
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variables
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Xtar=xfp + xpfp*Ztar
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Ytar=yfp + ypfp*Ztar
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- S1X, S1Y, S2X, S2Y energy spectra are generated
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- energy deposit is >1 MeV, shape looks reasonable
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- applies an energy threshold per plane based on this distribution, to mimic
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the effect of the discriminator in the trigger
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- very preliminary result: 6.4% proton absorption for 5 GeV/c
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- tried 1-10 GeV/c, get similar absorption for all proton momenta
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- Ali points out this is consistent with statement in John Matter's thesis
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- starting to try different particle types
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- Pete: you will have to turn off pi/K decay in Geant4, since SIMC already
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takes the decay into account and we don't want to double correct for this
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- i.e. we want missing triggers due to absorption, not decay
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- list is made of where different particles stop
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- can do a cross check between absorption fraction of total in spreadsheet
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- aerogel tray is about 15% of total absorption
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- *NB* indicates a need to do different calculations for different aerogel
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densities
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- NGC is about 20% of total, which imples a proton absorption correction for
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KaonLT closer to 5%
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- Geant4 outputs the nuclear interaction length lambdaL per material
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- Geant4 numbers a bit lower than PDG except for LH2
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- presumably this difference is due to different temperature/pressure than
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Hall C cryotarget
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- Garth: *NB* suggests to cross check LH2 density with what is in SIMC
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input file
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- some detector configuration checks that were done:
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- detector positions pulled from SHMS focal plane blueprint
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- had to convert NGC gas from CO2 to 70% Ar/30% Ne in spreadsheet
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- *NB* need to check what type of material is used for NGC exit window
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- HGC gas changed from CO2 to C4F10 in spreadsheet
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- *NB* Vijay will get Alicia the exact gas pressure used during KaonLT
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- arranged with Stephen to present at Quarterly Analysis Meeting
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- everything looks very nice! Thanks Alicia for working on this
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Nacer
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-----
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KaonLT 3.8 GeV data analysis
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- fixed problem with SIMC normalization, MC much closer to data now, applied an
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ad-hoc normalization factor to more easily compare distribution shapes
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- Lambda data 2x higher than model
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- Sigma data 9x higher than model
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- focal plane and physics distribution comparison looks good
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- now applying a MM cut to select Lambda region
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- also did a Sigma window and compared Data to MC
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- Ali: is the MC smearing factor applied?
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- confirmed mc_shms_hut.f resmult=3.5 so the factor is IN
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Next steps:
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- more checks to confirm cuts are OK on some representative files before
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submitting full data job
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- will check RF cut and RF cut efficiencies
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- should add Nathan's LH2 target boiling factor to Qeff
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- should also add Nathan's ELLT calculation and compare to EDTM to confirm
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reliability of EDTM before proceeding
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- Nathan: here is the raw python code, let me know if it is not clear:
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#calculate the ELLT via individual Hodoplane rates per Dave Mack technique
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#For details see: https://hallcweb.jlab.org/doc-private/ShowDocument?docid=1063
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HODOGATEWIDTH = 50/(10**9) #ns - gate width is PionLT
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SHMS_HodoRate = [0]*NRATEHODO
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SHMSTrueRate = [0]*NRATEHODO
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SHMSDT = [0]*NRATEHODO
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SHMSLT = [0]*NRATEHODO
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#HMS_HodoRate = [0]*NRATEHODO
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for iRATE in range(0, NRATEHODO): #iRATE is the number is the hodoscope plane
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SHMS_HodoRate[iRATE] = SHMS_Hodo_rate_sum[iRATE]/time_sum[bcm_ix]
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#HMS_HodoRate[iRATE] = HMS_Hodo_rate_sum[iRATE]/time_sum[bcm_ix]
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SHMSTrueRate[iRATE] = SHMS_HodoRate[iRATE]/(1 - HODOGATEWIDTH*SHMS_HodoRate[iRATE])
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#HMSTrueRate[iRATE] = HMS_HodoRate[iRATE]*(1 - HODOGATEWIDTH*HMS_HodoRate[iRATE])
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SHMSDT[iRATE] = SHMSTrueRate[iRATE]*HODOGATEWIDTH
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#HMSDT[iRATE] = HMSTrueRate[iRATE]*HODOGATEWIDTH
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SHMSLT[iRATE] = 1 - SHMSDT[iRATE]
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#HMSLT[iRATE] = 1 - HMSDT
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SHMS3of4ELT = SHMSLT[0]*SHMSLT[1]*SHMSLT[2]*SHMSLT[3] + SHMSDT[0]*SHMSLT[1]*SHMSLT[2]*SHMSLT[3] + SHMSLT[0]*SHMSDT[1]*SHMSLT[2]*SHMSLT[3] + SHMSLT[0]*SHMSLT[1]*SHMSDT[2]*SHMSLT[3] + SHMSLT[0]*SHMSLT[1]*SHMSLT[2]*SHMSDT[3]
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#HMS3of4ELT = HMSLT[0]*HMSLT[1]*HMSLT[2]*HMSLT[3] + HMSDT[0]*HMSLT[1]*HMSLT[2]*HMSLT[3] + HMSLT[0]*HMSDT[1]*HMSLT[2]*HMSLT[3] + HMSLT[0]*HMSLT[1]*HMSDT[2]*HMSLT[3] + HMSLT[0]*HMSLT[1]*HMSLT[2]*HMSDT[3]
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P_S1X_scaler = s_tree["P.S1X.scaler"].array()
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P_S1Y_scaler = s_tree["P.S1Y.scaler"].array()
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P_S2X_scaler = s_tree["P.S2X.scaler"].array()
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P_S2Y_scaler = s_tree["P.S2Y.scaler"].array()
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#H_S1X_scaler = s_tree["H.S1X.scaler"].array()
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#H_S1Y_scaler = s_tree["H.S1Y.scaler"].array()
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#H_S2X_scaler = s_tree["H.S2X.scaler"].array()
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#H_S2Y_scaler = s_tree["H.S2Y.scaler"].array()
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Next Meeting
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-------------
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- Thur Feb 13 @ 15:30 Eastern/14:30 Regina
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- KaonLT will go first
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- Nathan and Alicia will be at WNPPC in Banff then, please remember to send
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your comments on their slides by email
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