Tests of Sensitivity to Tails in Resolution

Last Update: 27-Feb-06

Index

  1. Generator Files: (Res comp plots)
  2. Fits to dms w/ dms(input) = 19
  3. Fits to amplitude w/ dms(input) = 19
  4. Fits to dms w/ dms(input) = 10
  5. Fits to amplitude w/ dms(input) = 10

Date Gen Lxy Smear Fit VPDL Res Func Fit Info Results

Fits to dms = 19 (comparison)
04-Mar Gen Set 13
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results
38 failed fits 		dms: 19.58 ± 3.02
err: 0.39 ± 0.23
05-Mar Gen Set 13
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results
40 failed fits 		dms: 19.20 ± 1.06
err: 0.40 ± 0.27
05-Mar Gen Set 14
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results
37 failed fits 		dms: 19.18 ± 1.10
err: 0.38 ± 0.30
26-Feb Gen Set 14
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results
38 failed fits 		dms: 19.64 ± 3.42
err: 0.37 ± 0.32

Fits to Amplitude (dms = 19) (comparison)
04-Mar Gen Set 13
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results Amp: 1.072 ± 0.414
err: 0.394 ± 0.011
04-Mar Gen Set 13
1-Gaussian Smearing 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o correct src fractions 		results Amp: 1.055 ± 0.407
err: 0.387 ± 0.010
07-Mar Gen Set 13
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results Amp: 1.197 ± 0.461
err: 0.441 ± 0.013
06-Mar Gen Set 14
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results Amp: 1.066 ± 0.433
err: 0.460 ± 0.015
08-Mar Gen Set 14
2-Gaussian Smearing 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o correct src fractions 		results Amp: 1.055 ± 0.423
err: 0.454 ± 0.014
27-Feb Gen Set 14
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results Amp: 0.960 ± 0.385
err: 0.410 ± 0.013

Fits to dms = 10 (comparison)
20-Feb Gen Set 8
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results
11 failed fits 		dms: 10.03 ± 0.24
err: 0.23 ± 0.06
24-Feb Gen Set 8
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 10 x σ(evt)
o f(narr) = 0.80 		results
12 failed fits 		dms: 10.04 ± 0.24
err: 0.23 ± 0.06
03-Mar Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results
15 failed fits 		dms: 10.08 ± 0.38
err: 0.27 ± 0.13
27-Feb Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 10 x σ(evt)
o f(narr) = 0.80 		results
17 failed fits 		dms: 10.05 ± 0.31
err: 0.26 ± 0.11
26-Feb Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results
19 failed fits 		dms: 10.08 ± 0.38
err: 0.28 ± 0.21

Fits to Amplitude (dms = 10) (comparison)
12-Feb Gen Set 8
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results Amp: 1.036 ± 0.191
err: 0.195 ± 0.003
06-Mar Gen Set 8
1-Gaussian Smearing
o σ = σ(evt) 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results Amp: 1.190 ± 0.221
err: 0.224 ± 0.004
28-Feb Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		results Amp: 1.019 ± 0.225
err: 0.232 ± 0.004
27-Feb Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
2-Gaussian Res Func
o σ(narr) = σ(evt)
o σ(wide) = 10 x σ(evt)
o f(narr) = 0.80 		results Amp: 0.893 ± 0.198
err: 0.203 ± 0.003
27-Feb Gen Set 12
2-Gaussian Smearing
o σ(narr) = σ(evt)
o σ(wide) = 0.04 cm
o f(narr) = 0.80 		100 exp's / 5000 evts/exp
1-Gaussian Res Func
o σ = σ(evt) 		results Amp: 0.886 ± 0.196
err: 0.201 ± 0.003