LMS and Beam Run Analysis

LaRay J. Benton

M.S. Nuclear Physics

North Carolina A&T State University

Thomas Jefferson National Laboratory

Advisor: Dr. Samuel Danagoulian

How did I analyze the LMS?

Learned the setup of the LMS and its components

Wrote programs to read LMS values, gains, constants and other data from Data Base (DB)

Analyze the stability of the LMS During calibration

Find the ratio of LMS signal to alpha source signal for all reference devices

Find the correlation b/w reference devices and try to identify the best reference detector.

Analyze the correlation of LMS signal and gain for two calibration sets, and check consistency of data

Identify “Bad Channels” based on LMS signals

Check the stability and consistency of LMS signals for each crystal in HyCal

Analyze LMS values for data runs with and w/o beam, analyze and compare the runs and note any changes

Correlation of LMS signal and gain
for two calibration sets

∆cal = œf [id] * lms_gain(t1) – œi [id] = 0

œ(true) f [id] (t1) = œf [id] * lms_gain(t1) = œi [id]

∆cal = 1 * (1) – 1 = 0

where t1 = run 4100 = i, and f = run 5400

Crystal Constants for ID W1001

œi = .7420

œf = .7319

›

= - 0.101

Run Number

œi = .8099

œf = .7948

›

= - 0.151

Crystal Constants for ID W2156

Run Number

œi = .9277

œf = .8941

›

= - 0.0336

Glass Constants for ID G001

Run Number

Glass Constants for ID G900

Run Number

Show transparencies of calibration data

Identify “Bad Channels” based on LMS signals

Crystal:

Crystal Deviation = ( ∆cal [channel ID] – Mean ) / RMS

We determined that a “Bad Channel” would be any channel that deviates more than 4 Sigma when plotted and fitted in a histogram.

= ( ∆cal [channel ID] – 0.005588 ) / 0.02622

Glass:

Glass Deviation = ( ∆cal [channel ID] – Mean ) / RMS

= ( ∆cal [channel ID] – 0.01125) / 0.02734

Statistics

Crystal:

0 – 1 sigma = 1036 hits = 1036 / 1152 = 89.93%

1 – 2 sigma = 61 hits = 61 / 1152 = 5.29%

2 – 3 sigma = 18 hits = 18 / 1152 = 1.56%

3 – 4 sigma = 13 hits = 13 / 1152 = 1.12%

greater than 4 sigma = 24 hits = 24 / 1152 = 2.08%

Glass:

0 – 1 sigma = 335 hits = 335 / 576 = 58.15%

1 – 2 sigma = 190 hits = 190 / 576 = 32.98%

2 – 3 sigma = 36 hits = 36 / 576 = 6.25%

3 – 4 sigma = 6 hits = 6 / 576 = 1.04%

greater than 4 sigma = 9 hits = 9 / 576 = 1.56%

Beam Run Analysis Data

Analyze LMS values for data runs with and w/o beam, analyze and compare the runs and note any changes. I divided the beam runs into four levels to better analyze data.

High Beam Current = 70 – 130 nA

Medium Beam Current = 10 – 69 nA

Low Beam Current = greater than “0” - 10 nA

Zero Beam Current = 0 nA

High Beam Current = 391 runs = 391 / 1350 = 28.96%

Medium Beam Current = 252 runs = 252 / 1350 = 18.66%

Low Beam Current = 492 runs = 492 / 1350 = 36.44%

Zero Beam Current = 192 runs = 192 / 1350 = 14.22%

No Value = 22 runs = 22 / 1350 = 1.62%

1 Missing Run (4845) = 1 / 1350 = .07%

Statistics

Note: There are 1350 total runs going from runs 4100 – 5449

See next slide for complete list of runs for each current set.

2005-07-28T19:06:45