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May 14-15/26 PionLT/KaonLT Analysis Meeting Notes
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(Notes by GH)
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Today: PionLT will be discussed first
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Thursday: Present
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Regina - Garth Huber, Nathan Heinrich, Alicia Postuma, Dex Yadlowski,
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Muhammad Junaid, Nacer Hamdi, Nermin Sadoun
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JLab - Dave Gaskell
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FIU - Pete Markowitz
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Virginia - Richard Trotta
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CUA - Chi Kin Tam, Sameer Jain, Tanja Horn
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Glasgow - Kathleen Ramage, Rachel Montgomery
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Ohio - Julie Roche
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Nathan
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------
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PionLT Q2=5.0 LT-sep
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- tracking down a bug in t-binning scrhipt
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- mid epsilon data doesn't show up in plots
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- an issue with too many dummy target events
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Nermin
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------
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PionLT LD2 Luminosity analysis
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- investigating current cuts, to ensure a stable rate sub-sample for Lumi study
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- there was a run w/ many beam fluctuations, after applying the cuts, the
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trend of the rate data is more stable
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- now looking again at the other runs
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- has one run @ 80uA, with high DAQ rate
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- Nathan: run with DAQ rate of 2.5-3 kHz should give believable results, even
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though the livetime might be lower than at lower rate
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Nacer
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-----
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KaonLT Q2=0.5 LT-sep
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- presented "final" cross sections
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- includes all normalization factors, including CoinTime Blocking
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- improved functional forms
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- KLambda:
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- L = p0*|t|*exp(-p1*|t|)/(|t|+mK**2)**2
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T = p2*exp(-|p3*t|)
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LT= p4*exp(-p5*|t|)*sin(theta)
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TT= p6*exp(-p7*|t|)*sin(theta)**2
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Wfac=1/(W**2-mp**2)**2
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- Rosenbluth "money" plots have high eps slightly above low eps data
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- L shows a slow increase w/t, from 0.15 -> 0.30
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T has a monotonic decrease w/t, from 0.9 -> 0.6
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LT is negative, near zero at lowest -t and monotonically increasing
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- Data/MC ratios look pretty flat
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low eps: particularly flat at low -t, a bit worse at higher -t
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high eps: ratios really look good, flat and near 1
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- Kinematic distribution plots
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SIMC reproduces data pretty well, except for SHMS_xpfp, where SIMC is
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narrower than data
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- KSigma0:
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- use same L/T/LT/TT functional forms
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- Rosenbluth "money" plots: high and low epsilon data nearly equal
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- L ~0
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T flat w/t, ~0.25
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LT flat w/t, -0.04
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TT is negative, trending away from 0 at higher -t
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- Data/MC ratios at both high, low epsilon ~1 with larger errors than Lambda
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and random fluctuations
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- Kinematic distribution plots: SIMC reproduces data shape well, except for
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SHMS_xpfp
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- Dave: regarding the kinematic distribution plots for Sigma0, for making nice
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plots to show at conferences suggests to use coarser binning to remove some
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of the fluctuations
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Next steps
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- will look next at Sigma0/Lambda ratios for overlapping t-bins
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- will start systematic uncertainty studies
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Chi Kin
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-------
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KaonLT high Q2 LT-sep
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- looked again at the Out-of-plane offssets from Heep data
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- followed same method as Garth
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- shows plots of Pmy/Pp vs Pe'/Pp for all data from 3.8 to 10.6 GeV
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- error bars look quite large compared to fluctuations of data
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- was using the width of the Pmy distribution, rather than the
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fit uncertainty in the mean
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- if using the mean fit uncertainty, the error bars will look too small
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- alternate plot (SIMC_pmy-Data_pmy)/Pp vs gives slightly diffferent results
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- Dave: if using scipy fit package, need to set absoute_sigma=TRUE to get
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accurate errors
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- CKT checks script, was using iMinuit, so that should not be the problem
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- some questions about what offsets to use in SIMC input file
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- Dave: Please see
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https://hallcweb.jlab.org/hclog/0307_archive/030713122338.html
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- Henk Blok did a calc of what happens at FP if there is a vertical beam
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offset and how it affects the reconstruction.
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- calculation uses the full forward matrix, not the sequential matrix
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- for particle with initial X0 that is offset vertically, the X'
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reconstructed is offset by X' = -1.14*X0 + 1.00*X'_0
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- for SHMS, we only have the sequential forward ME, not the full forward
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matrix, so Henk's calculation cannot be applied directly
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*NB* Dave will see if he can find something that can be used for SHMS
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- central_theta_offset in SIMC needs to have opposite sign, you have to think
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carefully of how the offset is defined before applying it
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Richard
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-------
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KaonLT high Q2 LT-sep
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- now using Kin's diamond cuts, as reported last week, there was an issue w/
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left setting diamond being too small
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- this issue has been fixed, will end up with better statistics when data
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replayed
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- now splitting background fits into 2 MM regions (example numbers only, exact
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numbers vary with setting):
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- Region 1: 1.05-1.15
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- Region 2: 1.10-1.20
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- First fit Region 1, and subtract it from data
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- then fit subtracted data for Region 2
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- then will compare resulting radiative tail to SIMC (stil in progress)
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- example shown for Q2=4.4, W=2.74
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- high epsilon right SHMS setting has events to left of Lambda peak, other
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settings (center, left, low epsilon) look much cleaner
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- Kinematic distributions at low epsilon comparo between Data and SIMC
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look okay
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- playing around with functional form for LT
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LT= p9*exp(-p10*|t|)*sin(theta)**2
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- sin(theta) instead of sin(theta)**2 results in a bit worse Data/MC ratios
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- once background fit procedures are finalized, will run on other settings
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Friday: Present
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---------------
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Regina - Garth Huber, Nathan Heinrich, Alicia Postuma, Dex Yadlowski,
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Nacer Hamdi, Nermin Sadoun, Vijay Kumar
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York - Stephen Kay
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JLab - Dave Gaskell
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JMU - Gabriel Niculescu, Ioana Niculescu
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CUA - Sameer Jain, Chi Kin Tam
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Glasgow - Kathleen Ramage, Rachel Montgomery
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Kathleen
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--------
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PionLT LD2 Luminosity analysis
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- read over Nathan's luminosity report, still making sure the analysis scripts
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work
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- looking at 6.4GeV (singles), 7.9GeV (coin)
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- shows one run for debugging purposes: Run 16715 LD2 target
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- checked PID cuts
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- next step is to run script for all runs
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- Nathan: please first check at least one Carbon setting, to make sure you get
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the same result as Nermin
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- if you do, the code works and you can go on to LD2
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Sameer
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PionLT Q2=1.6 LT-sep
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- shows diamond cut plots for low epsilon Left, Center
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- Nathan: the diamond cuts look too small, please make bigger at top and
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bottom of diamond
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- upper left corner needs to be adjusted inward a bit
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- t-resolution study: high and low epsilon
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- the t-range of this setting is very different than Junaid's, need to make a
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lot of modification
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- Garth: judging by eye, you can try a range like 0.03<-t<0.25
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- 16 phi bins
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Vijay
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-----
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PionLT Low Q2 LT-sep
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- working on radiative corrections systematic
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- following same method outlined in Blok et al. paper
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- this involves studying the Data/MC ratio as a function of MM cut at high
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and low epsilon, if SIMC correctly models the MM tail of the data, the
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ratio should be insensitive to the exact placing of the upper MM cut
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- scanned upper MM cuts from 0.97 to 0.99GeV
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- variation of Data/MC ratio vs cut is different for low, med, high epsilon
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- outer range of variation is about +/-1.5%
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- *NB* will look at the variation separately for each t-bin (integrating over
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phi). Alicia notes that in BSA analysis (different kinematics) the
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Radiative Tail description was t-dependent
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- changed functional form used for sigL
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- now using exactly the same form as Born Term Model equation, including
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substitution of t-dependence in g_piNN form factor
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L ~ (-t)/(t-mpi**2)/(Lgpinn**2-t**2) where Lgpinn=0.44
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- used equation has 2 free parameters
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T has a linear mx+b form
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- the Q2=0.375 results with this form have good Data/MC ratios
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- L has well-defined turn-over in lowest t-bins
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T has monotonic decrease w/ -t
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Alicia
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------
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KaonLT u-channel analysis
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- Aerogel proton-knockon correction
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- following method described in Bill's thesis
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- combined KaonLT Heep, PionLT Heep and KaonLT physics settings to get a
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wider range in momentum
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- data from 3 different aerogel trays are used
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- assumes the interaction probability scales with linear density
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aerogel density is proportional to (n-1)
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- applying this correction to rescale all data to same n gives a more
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linear trend vs SHMS_momentum than w/o correction
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- error analysis for the proton-knockon correction
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- use Binomial Errors since Ndid and Nshould are highly correlated
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- however, Binomial Errors assume no error on Nshould, so instead take
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delta-Nshould=sqrt(Nshould), gives a slightly larger error than Binomial,
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but still smaller than purely uncorrelated errors
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- resulting chi-square of data is still too large, implying the errors are
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underestimated
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- added an ad-hoc correction to give chi-square=1
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NewErr =sqrt(Err_binomial**2 + adhoc**2)
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- the adhoc correction is presumably due to a systematic in the data, but
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not sure what this might be due to
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- NewErrs for all data are much more similar now, while before some points
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had much smaller errors than others
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- resulting correction:
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Q2=3.0, 3.14: knockon_corr=83.6% +/- 1.6%
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3.0, 2.32: 94.9% +/- 1.3%
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- Nathan: suggests to compare "Garth method": cyclicly remove point-i and
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check the variation in the slope (i.e. knockon correction), to see if it
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gives similar results to your error-rescaling method
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- Dave: a likely source of this systematic uncertainty comes from the fact
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that the HeepCoin data does not fully fill the SHMS focal plane. There are
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aerogel density variations from spot-to-spot across the focal plane, and
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this should give some additional variation beyond the statistical
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uncertainties
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*NB* suggests to compare X,Y_Aerogel for the different HeepCoin settings to
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see how much the illuminated focal position varies by
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Next Meetings
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-------------
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- Thurs: May 21 @ 13:00 Eastern/11:00 Regina
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- KaonLT will go first
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- Fri: May 22 @ 12:00 Eastern/10:00 Regina
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- we will continue where we left off
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PS: Gabriel and Ioana would like some time next Friday for their presentation
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and discussion, so people are requested to have their slides ready on Thursday
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if at all possible
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