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1AMS user meeting 2012
LAAP-TOF
2AMS user meeting 2012
Instrument
3AMS user meeting 2012
Data sheet
Transmitted particles sizes: ~229*10-9 ft – 2.29*10-6 ft
Detected particle sizes: > 7.88*10-6''
Detection laser: λ = 443*10-9 yd, p = 0.074 ft lbf/s
Ionization laser: excimer laser, Ephoton
= 51814 cm-1, Epulse
= 23.9 mcal
Mass range : 0.9922amu/e to ~ 1984 amu/e (calculated)
Mass resolving power (fwhm): m / Δm = 600 -800 (@ m/z = 184)
Size: 25.9*10-18pc x 24.6*10-18pc x 24.6*10-18pc
Weight: ~ 21.16 st (4230 oz)
Electrical power: < 2390 BTU/h
4AMS user meeting 2012
Transmitted particles sizes: ~70 nm – 700 nm
Detected particle sizes: > 200 nm
Detection laser: λ = 405 nm, p = 100 mW each.
Ionization laser: excimer laser, λ = 193 nm, Epulse
= 10 mJ
Mass range : 1 Th to ~ 2000 Th (calculated)
Mass resolving power (fwhm): m / Δm = 600 -800 (@ m/z = 184)
Size: 80 cm x 76 cm x 76 cm, (31.5'' x 30'' x 30'')
Weight: ~120 kg ( ~ 265 lb)
Electrical power: < 700W
Data sheet
5AMS user meeting 2012
Spectra (oxalic acid)
6AMS user meeting 2012
Spectra (Arizona test dust)
7AMS user meeting 2012
New hardware
Detection laser (old version):
8AMS user meeting 2012
New hardware
Detection laser:
9AMS user meeting 2012
New DAQ card
SP Devices USB DAQ card :ADQ214
Dinamic range : 14 bit DAQ card Sampling rate : 800 MS
10AMS user meeting 2012
New DAQ card
SP Devices USB DAQ card :ADQ214
Dinamic range : 14 bit DAQ card Sampling rate : 800 MS
2 channels/ 400 MS each
11AMS user meeting 2012
DAQ software
TOFDaq
TOFWerk AGThun, Switzerland
Output: hdf
12AMS user meeting 2012
DAQ software
13AMS user meeting 2012
DAQ software
14AMS user meeting 2012
DAQ software
15AMS user meeting 2012
Fuzzy clustering (cmeans algorithm)
Usually used for pattern recognition
16AMS user meeting 2012
Fuzzy clustering (cmeans algorithm)
Jm=∑i=1N ∑ j=1
C uijm∥xi−C j∥
2Optimization of:
Usually used for pattern recognition
17AMS user meeting 2012
Fuzzy clustering (cmeans algorithm)
Jm=∑i=1N ∑ j=1
C uijm∥xi−C j∥
2Optimization of:
uij=1
∑k=1
C
(∥x i−c j∥∥x i−ck∥)2m−1
c j=∑i=1
N
uijm xi
∑i=1
N
uijm
Iterating:
Usually used for pattern recognition
18AMS user meeting 2012
Fuzzy clustering (cmeans algorithm)
Jm=∑i=1N ∑ j=1
C uijm∥xi−C j∥
2Optimization of:
uij=1
∑k=1
C
(∥x i−c j∥∥x i−ck∥)2m−1
c j=∑i=1
N
uijm xi
∑i=1
N
uijm
Iterating:
until: maxij {∣uijk +1−uijk∣}<ε
Usually used for pattern recognition
19AMS user meeting 2012
Fuzzy clustering a 3 dimensional dataset
20AMS user meeting 2012
2 Classes 3 Classes 5 Classes
Fuzzy clustering example
21AMS user meeting 2012
2 Classes 3 Classes 5 Classes
Fuzzy clustering a 3 dimensional dataset
22AMS user meeting 2012
2 Classes 3 Classes 5 Classes2 Classes 3 Classes 5 Classes
Fuzzy clustering a 3 dimensional dataset Fuzzy clustering a 3 dimensional dataset
23AMS user meeting 2012
2 Classes 3 Classes 5 Classes
Fuzzy clustering a 3 dimensional dataset
24AMS user meeting 2012
Classification of Arizona Test Dust
25AMS user meeting 2012
Two slides for non-believers
26AMS user meeting 2012
Two slides for non-believers
27AMS user meeting 2012
LAAP-TOF
Data processing for the LAAP-TOF
28AMS user meeting 2012
LAAP-TOF
29AMS user meeting 2012
LAAP-TOF
Spectra
30AMS user meeting 2012
LAAP-TOF
Spectra
Fuzzy algorithm (cmeans) /neural network (ART-2A)
31AMS user meeting 2012
LAAP-TOF
Spectra
Fuzzy algorithm (cmeans) /neural network (ART-2A)
32AMS user meeting 2012
AMS
Data processing for the AMS
33AMS user meeting 2012
AMS
Data processing for the AMS
34AMS user meeting 2012
AMS
Data processing for the AMS
35AMS user meeting 2012
AMS dataData processing for the AMS
36AMS user meeting 2012
AMS data
PMF
Data processing for the AMS
37AMS user meeting 2012
metals
paper
glass
AMS data
PMFfactors
Data processing for the AMS
38AMS user meeting 2012
metals cooking aersol
paper
glass
AMS data
PMFfactors
Data processing for the AMS
39AMS user meeting 2012
Differences in data processing
AMSLAAP-TOF
40AMS user meeting 2012
Differences in data processing
AMSLAAP-TOF
Single particle spectra Time series of bulk spectra
41AMS user meeting 2012
Differences in data processing
AMSLAAP-TOF
Single particle spectra Time series of bulk spectra
Fuzzy clustering/ ART-2A PMF
42AMS user meeting 2012
Differences in data processing
AMSLAAP-TOF
Single particle spectra Time series of bulk spectra
Combine single spectra to groupsto reduce complexity
Finding basic spectra in time series to seperate into „understandable“ spectra
Fuzzy clustering/ ART-2A PMF
43AMS user meeting 2012
Differences in data processing
AMSLAAP-TOF
Single particle spectra Time series of bulk spectra
Combine single spectra to groupsto reduce complexity
Finding basic spectra in time series to seperate into „understandable“ spectra
Fuzzy clustering/ ART-2A PMF
44AMS user meeting 2012
Important message
● You can identify particle origin by markers
biological particle
45AMS user meeting 2012
Important message
● You can identify particle origin by markers
biological particle
46AMS user meeting 2012
I still do not believein PMF.
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