In order to determine whether the optical distortion was significantly affected by the temperature
changes that defined the beginning of the 3-Band Cryo Period and continued through secondary-
tank cryogen depletion, the data were arranged into consecutive 5-day windows, and distortion
calibration was performed on each window separately. It was immediately seen that the W3 and
W4 distortion was changing rapidly and continued to change over the entire period. W4 was soon
declared unusable and dropped from the processing.
The data windows used to compute the distortion models are tagged below by the day number of
their center. We count day numbers from the approximate start of the 3-Band-Cryo period,
Julian Date 2455411.0, which is actually about half a day before the official start of 3-Band-
Cryo, but in order to get five days of data for the first window, which is centered on day 2, we
actually include data from as early as Julian Date 2455410.5.
W1 and W2 appeared to be almost unaffected by the temperature changes, with the sole
exception of a brief W1 excursion early on that dissipated quickly and does not appear to be
important other than to be noted for the record This phenomenon can be seen in the upper left
array corner in the second frame of the animated GIF below (see Figure 5).
This frame shows the changes in the distortion for the window centered on day 5 relative to the distortion model in the first window,
which is centered on day 2. The unusually large fluctuations are gone in the next frame, which is
the window centered on day 8. These early models in W1 used 3-day windows instead of 5-day windows
in an attempt to track this excursion.
Attempts to achieve high time resolution were thwarted by insufficient sample size to obtain a
model with uncertainties small enough to achieve clear statistical significance. Typical radial
uncertainties of the corner distortion for 5-day windows are about 95 milli-arcsec and about 123
milli-arcsec for 3-day windows; for a 1-day
window, this becomes about 212 milli-arcsec, making the maximum day-5 excursion of 265
milli-arcsec a 1.25-sigma fluctuation, whereas it is about 2.2-sigma relative to the 3-day model.
During the attempts to isolate and characterize the event, large but not reliably reproducible
fluctuations were found, leaving the conclusion that something real happened but could not be
delineated with the usual accuracy.
In order to determine whether distortion drifted even without temperature variations, the cold
mission was re-analyzed using five 5-day periods evenly spaced from in-orbit-checkout to a point
shortly before the first indications that the secondary cryogen tank was beginning to lose full
effectiveness. The
results of this analysis were that only fluctuations on the order of the fitting uncertainties
occurred. The availability of a 25-day model for each band, however, was used to advantage for
the final reprocessing of the cold-mission-data .
The first set of 5-day-window W3 models showed that the distortion was changing by significant
amounts over intervals shorter than five days, so experiments were performed in which window
centers were spaced closer together than five days with windows of one, three, and five days
width. By "significant amounts", we mean on the order of 100 milli-arcsec. The formal
uncertainties for the models that were less than five days showed that model errors on the order
of 100 milli-arcsec were to be expected, and anything less than five days of data could not
produce a model whose own error was less than the variation over the same period.
The best sampling compromises available at the time were made and used for the production
processing of the 3-Band-Cryo data. The windows as defined by JD at start, end, and midpoint are
shown in the tables below. The attempt to track the early W1 excursion led to the use of 3-day
windows during the early portion, since W1 had sufficient data to allow acceptable fits with
just three days of data while avoiding smoothing the excursion more than absolutely necessary.
A return to 5-day windows would actually have been acceptable sooner than was done, but this
became apparent only after the pipeline reprocessing was well underway. The final set of models
used 27 windows for W1, 17 for W2, and 34 for W3.
JD_start
JD_stop
JD_mid
window
2455411.5025146999
2455413.5000000000
2455413.0000000000
3.0
2455413.5000000000
2455414.2500000000
2455414.0000000000
3.0
2455414.2500000000
2455414.7500000000
2455414.5000000000
3.0
2455414.7500000000
2455415.5000000000
2455415.0000000000
3.0
2455415.5000000000
2455416.5000000000
2455416.0000000000
3.0
2455416.5000000000
2455417.5000000000
2455417.0000000000
3.0
2455417.5000000000
2455418.5000000000
2455418.0000000000
3.0
2455418.5000000000
2455419.5000000000
2455419.0000000000
3.0
2455419.5000000000
2455420.5000000000
2455420.0000000000
3.0
2455420.5000000000
2455421.5000000000
2455421.0000000000
3.0
2455421.5000000000
2455422.5000000000
2455422.0000000000
3.0
2455422.5000000000
2455423.5000000000
2455423.0000000000
3.0
2455423.5000000000
2455424.5000000000
2455424.0000000000
3.0
2455424.5000000000
2455425.5000000000
2455425.0000000000
3.0
2455425.5000000000
2455426.5000000000
2455426.0000000000
3.0
2455426.5000000000
2455427.5000000000
2455427.0000000000
3.0
2455427.5000000000
2455428.5000000000
2455428.0000000000
3.0
2455428.5000000000
2455429.5000000000
2455429.0000000000
3.0
2455429.5000000000
2455430.4100000001
2455430.0000000000
3.0
2455430.4100000001
2455432.6049999995
2455430.8199999998
5.0
2455432.6049999995
2455436.1749999998
2455434.3899999997
5.0
2455436.1749999998
2455439.7400000002
2455437.9600000000
5.0
2455439.7400000002
2455445.0800000001
2455441.5200000000
5.0
2455445.0800000001
2455452.2050000001
2455448.6400000001
5.0
2455452.2050000001
2455459.3250000002
2455455.7700000000
5.0
2455459.3250000002
2455466.4600000000
2455462.8799999999
5.0
2455466.4600000000
2455472.5151996599
2455470.0400000000
5.0
W1 Distortion Model Windows
JD_start
JD_stop
JD_mid
window
2455410.5001127901
2455413.2250000001
2455413.0000000000
5.0
2455413.2250000001
2455413.7000000002
2455413.4500000002
5.0
2455413.7000000002
2455414.4250000003
2455413.9500000002
5.0
2455414.4250000003
2455415.3750000000
2455414.9000000004
5.0
2455415.3750000000
2455417.2750000004
2455415.8500000001
5.0
2455417.2750000004
2455420.1250000000
2455418.7000000002
5.0
2455420.1250000000
2455422.9750000001
2455421.5500000003
5.0
2455422.9750000001
2455425.8250000002
2455424.3999999999
5.0
2455425.8250000002
2455429.0350000001
2455427.2500000000
5.0
2455429.0350000001
2455432.6049999995
2455430.8199999998
5.0
2455432.6049999995
2455436.1749999998
2455434.3899999997
5.0
2455436.1749999998
2455439.7400000002
2455437.9600000000
5.0
2455439.7400000002
2455445.0800000001
2455441.5200000000
5.0
2455445.0800000001
2455452.2050000001
2455448.6400000001
5.0
2455452.2050000001
2455459.3250000002
2455455.7700000000
5.0
2455459.3250000002
2455466.4600000000
2455462.8799999999
5.0
2455466.4600000000
2455472.5151996599
2455470.0400000000
5.0
W2 Distortion Model Windows
JD_start
JD_stop
JD_mid
window
2455410.5001127901
2455413.5000000000
2455413.0000000000
5.0
2455413.5000000000
2455414.5000000000
2455414.0000000000
5.0
2455414.5000000000
2455415.5000000000
2455415.0000000000
5.0
2455415.5000000000
2455416.5000000000
2455416.0000000000
5.0
2455416.5000000000
2455417.5000000000
2455417.0000000000
5.0
2455417.5000000000
2455418.5000000000
2455418.0000000000
5.0
2455418.5000000000
2455419.5000000000
2455419.0000000000
5.0
2455419.5000000000
2455420.5000000000
2455420.0000000000
5.0
2455420.5000000000
2455421.5000000000
2455421.0000000000
5.0
2455421.5000000000
2455422.5000000000
2455422.0000000000
5.0
2455422.5000000000
2455423.5000000000
2455423.0000000000
5.0
2455423.5000000000
2455424.5000000000
2455424.0000000000
5.0
2455424.5000000000
2455425.5000000000
2455425.0000000000
5.0
2455425.5000000000
2455426.5000000000
2455426.0000000000
5.0
2455426.5000000000
2455427.5000000000
2455427.0000000000
5.0
2455427.5000000000
2455428.5000000000
2455428.0000000000
5.0
2455428.5000000000
2455429.5000000000
2455429.0000000000
5.0
2455429.5000000000
2455431.0000000000
2455430.0000000000
5.0
2455431.0000000000
2455433.0000000000
2455432.0000000000
5.0
2455433.0000000000
2455435.1250000000
2455434.0000000000
5.0
2455435.1250000000
2455437.1250000000
2455436.2500000000
5.0
2455437.1250000000
2455438.7500000000
2455438.0000000000
5.0
2455438.7500000000
2455440.5099999998
2455439.5000000000
5.0
2455440.5099999998
2455442.7599999998
2455441.5200000000
5.0
2455442.7599999998
2455445.5000000000
2455444.0000000000
5.0
2455445.5000000000
2455448.5000000000
2455447.0000000000
5.0
2455448.5000000000
2455451.5000000000
2455450.0000000000
5.0
2455451.5000000000
2455454.3750000000
2455453.0000000000
5.0
2455454.3750000000
2455456.8125000000
2455455.7500000000
5.0
2455456.8125000000
2455458.9375000000
2455457.8750000000
5.0
2455458.9375000000
2455461.5000000000
2455460.0000000000
5.0
2455461.5000000000
2455464.5000000000
2455463.0000000000
5.0
2455464.5000000000
2455467.0000000000
2455466.0000000000
5.0
2455467.0000000000
2455469.9290971002
2455468.0000000000
5.0
W3 Distortion Model Windows
Meanwhile, analysis of time-dependent distortion continued.
This further work showed that in W3, windows straddling integration-time changes were introducing artificial smoothing into the models. To correct this, the windows were
redefined so that the epochs of integration-time changes were also window boundaries. The
result was that the distortion model parameters were seen to change discontinuously at these
boundaries. The resultant models produced slightly better astrometry near those boundaries for
the test regions, but it was too late to reprocess all the affected 3-Band-Cryo data with these new
time-dependent W3 distortion models. Most of the data were not close enough to an integration-time
discontinuity to be affected, but for those that were, the smoothing effect can be seen by
comparing the time history of the constant terms in the newer models to those used for
production. Figure 1 shows the A_0_0 and B_0_0 SIP coefficients in the windows for the models
that were used, and Figure 2 shows the same information for the models that avoided having a
window straddle an integration-time boundary. In the latter, the one window that was not five
days wide was the one for the 2-second integration time, since this period spanned only 3.141
days.
Figure 1 - SIP Constant Coefficients For the Model Windows Used for Processing
Figure 2 - SIP Constant Coefficients For the Model Windows Not Straddling Integration-Time Boundaries
The first and last distortion models for each band are shown below in Figures 3, 4, 6, 7, 9, and 10 as vector-flow
diagrams with a scale factor of 10×. Animated GIFs illustrate the changes in the models as functions
of time in Figures 5, 8, and 11. These use scale factors of 500× for W1 and W2 and 50× for W3.
In order to make the flow more even, not all windows are used, since the window spacing is highly variable,
as may be seen in Figures 1 and 2 above. The 14 windows used for each band are listed below by the 3-Band-Cryo
day number of their centers, along with the maximum distortion-change vector length in milli-arcsec. The window day
centers are shown in the animations with a green progress bar to aid in following the time development.
Window Center Day
Max Radial Difference From Day 2 (milli-arcsec)
2
0
5
265
8
173
11
130
14
134
17
155
20
178
23
203
27
201
31
229
38
210
45
200
52
277
59
184
W1 Distortion Model Time Variation
Window Center Day
Max Radial Difference From Day 2 (milli-arcsec)
2
0
5
65
8
102
11
117
14
113
17
113
20
144
23
157
27
164
31
181
38
187
45
190
52
180
59
50
W2 Distortion Model Time Variation
Window Center Day
Max Radial Difference From Day 2 (milli-arcsec)
2
0
5
107
8
274
11
629
14
2054
17
2099
21
2716
25
2761
29
2699
36
2823
41
2862
47
2778
52
2876
57
2998
W3 Distortion Model Time Variation
Figure 3 -Vector Diagram for First W1 Distortion Model Scaled at 10× (Maximum Vector Length = 2.245 pix)
Figure 4 -Vector Diagram for Last W1 Distortion Model Scaled at 10× (Maximum Vector Length = 2.216 pix)
Figure 5 - W1 Distortion Change During 3-Band Cryo Period Scaled at 500× (click to run animation)
Figure 6 -Vector Diagram for First W2 Distortion Model Scaled at 10× (Maximum Vector Length = 2.350 pix)
Figure 7 -Vector Diagram for Last W2 Distortion Model Scaled at 10× (Maximum Vector Length = 2.337 pix)
Figure 8 - W2 Distortion Change During 3-Band Cryo Period Scaled at 500× (click to run animation)
Figure 9 -Vector Diagram for First W3 Distortion Model Scaled at 10× (Maximum Vector Length = 2.312 pix)
Figure 10 -Vector Diagram for Last W3 Distortion Model Scaled at 10× (Maximum Vector Length = 3.029 pix)
Figure 11 - W3 Distortion Change During 3-Band Cryo Period Scaled at 50× (click to run animation)
It can be seen in the W3 distortion-change animated GIF that the largest jump occurred fairly
suddenly around the beginning of the second quarter of the 3-Band-Cryo period.
Since this happens to coincide with the 4.4-second
and 2.2-second integration times, it seems plausible that there is a connection. This may be due to
a small dependence on the scan-mirror position, since the W3 integration time
ceased to coincide with the usual
full survey range of the scan mirror at this time (unlike that of W1 and W2, which
continued using the full scan-mirror range). The same is true of the W3 1.1-second integration period,
whose distortion is in
fact substantially different from that of the cold mission, but since no further changes in
integration time were possible, the distortion remained relatively stable during this part of the
3-Band-Cryo period.