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List of systematic studies for gammas
Updated on Thu, 2008-06-12 13:09. Originally created by jwebb on 2008-04-05 16:11.This blog entry will be used to collect ideas which I happen to think of for systematic studies for gammas.
Weight of SSD componants
Updated on Wed, 2008-04-09 14:59. Originally created by bouchet on 2008-04-03 16:00.for each element :
description NAME
/path [Weight]
grid-links, details
Updated on Wed, 2008-04-02 21:22. Originally created by balewski on 2008-04-02 21:22.to view my cert:
https://pki1.doegrids.org/displayBySerial?op=displayBySerial&serialNumber=22369
Jerome's instruction:
(in progress) EEmc Gammas via conversion method, yield estimates for 2009
Updated on Sat, 2008-04-05 13:32. Originally created by jwebb on 2008-03-31 18:32.Abstract: We estimate the event yields which may be obtained using the conversion method in the 2009 run.
1.0 Event Sample and Cuts
Event sample:
1. Data from ppLong2
2. All fills after L2gamma EEmc elevated to physics
4. Select trigger ID 137641
Cuts:
Before extraction:
1. Require candidate to be w/in the EEMC with pT > 5.0 GeV.
2. Isolation cut -- ET / ETR<0.3 > 0.9
3. Charged particle veto (CPV) -- require sum of all preshower-1 tiles w/in R < 0.3 to be == 0
4. Analyzing cut -- sum preshower-2 tiles w/in R < 0.3 is greater than zero (i.e. at least one tile w/ ADC > 3 sigma + ped).
After extraction:
5. Require -8 < log(Epost/Esmd) < -2
2.0 Monte Carlo
Event Sample
1. 125k Single gammas w/ 2006 geometry
2. 125k Single gammas w/ 2009 geometry
3. Thrown w/ vertex width of +/- 30cm
4. Thrown w/ eta range 0.8 to 2.2
5. Thrown w/ 4 muons in event to establish vertex. Muons thrown w/ eta = -0.25.
6. pT sampled from e^{-0.6} distribution for pT > 5.0 GeV.
Analysis:
MuDsts are created from the MC events, and gamma trees are created. Events are subjected to same analysis cuts as in section 1.0 above.
FileCatalog API
Updated on Mon, 2009-08-24 15:21 by testadmin. Originally created by jeromel on 2008-03-31 16:47.This blog will report on modifications made to the FileCatalog API on W13/08 and following weeks. It will serve as self-documentation.
EEmc Gammas via conversion method, systematics III
Updated on Mon, 2008-03-31 10:12. Originally created by jwebb on 2008-03-31 09:49.1.0 Fixing the hadronic width parameter
Figure 1.1 -- Width of the hadronic background contribution vs pT (see EEmc Gammas via conversion method, systematics II section
EEmc Gammas via conversion method, systematics II
Updated on Tue, 2008-04-01 09:58. Originally created by jwebb on 2008-03-30 14:01.Abstract: The EEmc Gammas via conversion method for extracting single photons should, in principle, have easily quantified systematic uncertainties. One needs to know only two things -- the efficiency with which the signal and background pass the analyzing cut. In practice, since we have three sources of background, the systematic uncertainties become more complicated. We perform an extraction of the gamma yields vs pT, and determine the systematic uncertainties due to the measured efficiencies.
Contents:
0.0 Data Sample and Cuts
Event sample:
1. Data from ppLong2
2. All fills after L2gamma EEmc elevated to physics
4. Select trigger ID 137641
Cuts:
Before extraction:
1. Require candidate to be w/in the EEMC with pT > 5.0 GeV.
2. Isolation cut -- ET / ETR<0.3 > 0.9
3. Charged particle veto -- require sum of all preshower-1 tiles w/in R < 0.3 to be == 0
4. Analyzing cut -- sum preshower-2 tiles w/in R < 0.3 is greater than zero (i.e. at least one tile w/ ADC > 3 sigma + ped).
Post Extraction:
5. Extracted yields summed over -8 < D < -2.
Papers on proton interferometry
Updated on Sat, 2008-03-29 23:37. Originally created by chajecki on 2008-03-29 23:17.Papers on proton-proton interferometry (just for my record, list is not complete):
- "Proton evaporation time scales from longitudinal and transverse two-proton correlation fu
EEmc Gammas via conversion method, determine/cross check efficiencies
Updated on Sat, 2008-03-29 18:05. Originally created by jwebb on 2008-03-29 17:10.Abstract: In order to use the conversion method, we need to know the efficiencies with which single photons and the different sources of background candidates pass the analyzing cut. So far we have identified two sources of backgrounds: (1) photonic backgrounds arising from the decay of mesons, e.g. pi0 --> gamma gamma, and (2) neutral hadrons (or charged hadrons which pass the CPV) which hadronize w/in the calorimeter stack. We should be able to estimate the efficiencies for both of these directly from the data with good precision. The only parameter in his method which relies on the Monte Carlo is the probability for a single photon to convert in the 1st radiator of the EEmc.