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ACA Trending: Oct 2019

Click an image to enlarge it. The slopes are in Mag / day.

ACIS
Slope: -3.413e-03 STD: 6.855e-02

Slope: 5.523e-04 STD: 6.966e-02

Slope: 9.807e-04 STD: 5.650e-02
 

Slope: 8.121e-04 STD: 7.826e-02

Slope: -8.567e-04 STD: 6.461e-02

Slope: 5.853e-04 STD: 8.430e-02
 
HRCI
Slope: nan STD: nan

Slope: -1.135e-03 STD: 1.277e-02

Slope: nan STD: nan

Slope: nan STD: nan
HRCS
Slope: 1.118e-03 STD: 3.264e-02

Slope: 1.419e-03 STD: 2.690e-02

Slope: 1.231e-03 STD: 1.564e-02

Slope: nan STD: nan
IDID StringMagnitudeData Quality (%)Total Data
AverageMinMaxGoodMarginalBad
1 ACIS-1 7.026 6.298 7.809 100 0 0 19
2 ACIS-2 6.967 6.250 7.171 100 0 0 38
3 ACIS-3 7.223 6.326 7.351 100 0 0 4
4 ACIS-4 7.066 5.465 7.342 100 0 0 41
5 ACIS-5 7.049 6.202 7.322 100 0 0 49
6 ACIS-6 7.129 6.676 7.574 100 0 0 20
7 HRC-I-1 6.966 6.827 7.019 100 0 0 2
8 HRC-I-2 6.993 6.859 7.045 100 0 0 3
9 HRC-I-3 7.068 6.826 7.099 100 0 0 2
10 HRC-I-4 6.994 6.959 7.023 100 0 0 2
11 HRC-S-1 6.981 6.128 7.261 100 0 0 7
12 HRC-S-2 6.955 6.706 7.136 100 0 0 7
13 HRC-S-3 6.978 6.691 7.042 100 0 0 5
14 HRC-S-4 6.970 6.808 7.054 100 0 0 2

Level 1 Slot Trending: Oct 2019

Click an image to enlarge it. The slopes are per day.

SlotPos_ErrDelta MagnitudeAngyneaAngznea
0
Slope: nan STD: nan

Slope: nan STD: nan

Slope: 1.243e-05 STD: 5.605e-05

Slope: 5.605e-05 STD: 1.079e-03
1
Slope: nan STD: nan

Slope: nan STD: nan

Slope: 1.426e-05 STD: 8.796e-06

Slope: 8.796e-06 STD: 7.104e-04
2
Slope: nan STD: nan

Slope: nan STD: nan

Slope: -1.895e-05 STD: -3.040e-05

Slope: -3.040e-05 STD: 9.433e-04
3
Slope: -5.922e-04 STD: 1.728e-01

Slope: -5.922e-04 STD: 1.728e-01

Slope: 2.600e-04 STD: 3.220e-04

Slope: 3.220e-04 STD: 1.201e-02
4
Slope: 3.901e-04 STD: 7.006e-02

Slope: 3.901e-04 STD: 7.006e-02

Slope: -3.826e-05 STD: 3.584e-05

Slope: 3.584e-05 STD: 1.829e-02
5
Slope: 9.200e-04 STD: 8.005e-02

Slope: 9.200e-04 STD: 8.005e-02

Slope: 2.697e-04 STD: 2.335e-04

Slope: 2.335e-04 STD: 1.771e-02
6
Slope: 1.029e-03 STD: 2.244e-01

Slope: 1.029e-03 STD: 2.244e-01

Slope: -9.890e-05 STD: -1.675e-04

Slope: -1.675e-04 STD: 1.679e-02
7
Slope: -1.570e-03 STD: 2.235e-01

Slope: -1.570e-03 STD: 2.235e-01

Slope: -1.938e-04 STD: -1.450e-04

Slope: -1.450e-04 STD: 1.819e-02

Note

pos_err: ((ra_err*cos(dec))^2 + dec_err^2)^0.5
diff: mag_aca - mag_aca_avg
slope: slope agaist time (sec)
std: standard deviation of the data

When looking at Guide Stars

slotrms_ra_err (deg)rms_dec_err (deg) rms_delta_mag (marcsec)number avg_angynea (arcsec)avg_angznea (arcsec) number_nea goodmarginalbad
00.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
10.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
20.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
31.847e-052.206e-052.154e-02 663.445e-024.102e-02970704100.000.000.00
42.059e-052.240e-058.772e-03 664.054e-024.868e-0296811198.480.001.52
51.866e-052.115e-051.023e-02 643.853e-024.434e-02970589100.000.000.00
61.922e-052.146e-052.756e-02 673.932e-024.448e-02970703100.000.000.00
71.852e-052.053e-052.815e-02 643.983e-024.412e-02970083100.000.000.00
AVG1.193e-051.345e-051.203e-02 402.408e-022.783e-0260627362.310.000.19

When Looking at FIDs

slotrms_ra_err (deg)rms_dec_err (deg) rms_delta_mag (marcsec)number avg_angynea (arcsec)avg_angznea (arcsec) number_nea goodmarginalbad
00.000e+000.000e+001.646e-01 679.854e-031.179e-02485431100.000.000.00
10.000e+000.000e+001.582e-01 671.015e-021.224e-02485424100.000.000.00
20.000e+000.000e+001.561e-01 671.054e-021.314e-02485431100.000.000.00
30.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
40.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
50.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
60.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
70.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
AVG0.000e+000.000e+005.987e-02 253.819e-034.647e-0318203537.500.000.00

When looking at Monitor Stars

slotrms_ra_err (deg)rms_dec_err (deg) rms_delta_mag (marcsec)number avg_angynea (arcsec)avg_angznea (arcsec) number_nea goodmarginalbad
00.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
10.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
20.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
30.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
40.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
50.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
60.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
70.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00
AVG0.000e+000.000e+000.000e+00 00.000e+000.000e+00 00.000.000.00

If you have any questions about this page, please contact tisobe@cfa.harvard.edu.