The details follow:
Making a bad pixel/bad column list:
[1] Look at Maxim's images by eye and flag bad columns and pixels, grading the columns strong/weak/very weak/node boundary/flight.
[2] make histograms vs. chipx and list columns greater than
[2a] Get everyone to agree on the list (Maxim, Bev, cc: Mark Bautz).
[3] Glenn asked for 1-1024 in chipy instead of 2-1023 as Maxim had.
[4] Turns out the tool adds padding around bad pixels/columns, so
remove that from the list. Also add a flag field so I can remember
what's going on, include everything, and then strip out only the
real bad columns to send to Glenn.
[5] extract using
row < badpix_C_200922_full.rdb Note eq W or Note eq S or Note eq BP
for Glenn. Note column is S (strong) W (weak) VW (very weak), F (Flight),
FB (Flight boundary), NB (Node boundary), or BP (bad pixel). This gives
only the bad columns (strong or weak) and bad pixels, and no node
boundaries and no next-to-bad columns.
The list of flight software excluded bad pixels is then added to this
file, called badpix_C_200922.rdb.
Following is the file delivered to SDS/Glenn Allen for generation of
the CALDB entry.
* Note: CHIPX0, CHIPX1, CHIPY0, and CHIPY1 are the boundaries of a rectangle
defining a region of bad pixels. For a single pixel, CHIPX0=CHIPX1 and CHIPY0=CHIPY1
Thanks to Bev LaMarr, Maxim
Markevitch, and Mark Bautz for their help and advice.
Last modified:
11/15/10
RDB format of Bad Pixel table: badpix_2001_06_08_list.rdb
ASCII format of Bad Pixel table: badpix_2001_06_08_list.txt
Bad Pixels Table
CCD ID Type Position Note
CHIPX0 CHIPX1 CHIPY0 CHIPY1
0 FI I0 F
71 73 1 1024
0 FI I0 W
79 79 1 1024
0 FI I0 S
81 81 1 1024
0 FI I0 S
95 95 1 1024
0 FI I0 W
165 165 1 1024
0 FI I0 W
226 226 1 1024
0 FI I0 W
484 484 1 1024
0 FI I0 W
580 580 1 1024
0 FI I0 S
1010 1010 1 1024
0 FI I0 S
1015 1015 1 1024
0 FI I0 BP
303 303 253 253
1 FI I1 W
54 54 1 1024
1 FI I1 W
97 97 1 1024
1 FI I1 F
303 303 1 1024
1 FI I1 F
409 409 1 1024
1 FI I1 W
521 521 1 1024
1 FI I1 W
558 558 1 1024
1 FI I1 W
583 583 1 1024
1 FI I1 W
691 691 1 1024
1 FI I1 W
704 704 1 1024
1 FI I1 S
1008 1008 1 1024
1 FI I1 BP
533 533 33 33
2 FI I2 W
23 23 1 1024
2 FI I2 W
127 127 1 1024
2 FI I2 S
134 134 1 1024
2 FI I2 W
162 162 1 1024
2 FI I2 W
437 437 1 1024
2 FI I2 W
548 548 1 1024
2 FI I2 S
559 559 1 1024
2 FI I2 W
570 572 1 1024
2 FI I2 W
671 671 1 1024
2 FI I2 W
699 699 1 1024
2 FI I2 W
818 818 1 1024
2 FI I2 W
930 930 1 1024
2 FI I2 S
1018 1018 1 1024
3 FI I3 W
474 474 1 1024
3 FI I3 W
492 492 1 1024
4 BI S0 W
9 9 1 1024
4 BI S0 S
39 39 1 1024
4 BI S0 S
107 107 1 1024
4 BI S0 W
162 162 1 1024
4 BI S0 S
197 197 1 1024
4 BI S0 S
363 363 1 1024
4 BI S0 S
488 488 1 1024
4 BI S0 S
507 507 1 1024
4 BI S0 W
544 544 1 1024
4 BI S0 S
586 586 1 1024
4 BI S0 W
601 601 1 1024
4 BI S0 S
628 628 1 1024
4 BI S0 W
839 839 1 1024
4 BI S0 S
862 862 1 1024
4 BI S0 S
876 876 1 1024
4 BI S0 W
890 890 1 1024
4 BI S0 S
956 956 1 1024
4 BI S0 S
968 968 1 1024
5 FI S1 S
233 233 313 322
5 FI S1 S
233 251 313 313
5 FI S1 S
671 671 1 1024
5 FI S1 BP
161 161 206 206
5 FI S1 BP
226 226 564 564
5 FI S1 BP
341 341 427 427
5 FI S1 BP
367 367 497 497
5 FI S1 BP
607 607 281 281
5 FI S1 BP
716 716 718 718
5 FI S1 BP
1022 1023 166 167
5 FI S1 F
383 383 585 585
5 FI S1 F
792 792 351 351
6 FI S2 S
58 58 1 1024
6 FI S2 S
585 585 1 1024
6 FI S2 W
683 683 1 1024
6 FI S2 W
1003 1003 1 1024
7 BI S3 F
496 498 441 1024
7 BI S3 S
497 497 1 40
7 BI S3 W
738 738 973 1024
8 FI S4 W
2 2 1 1024
8 FI S4 W
5 5 1 1024
8 FI S4 W
20 20 1 1024
8 FI S4 W
25 25 1 1024
8 FI S4 S
33 33 1 1024
8 FI S4 W
453 453 1 1024
8 FI S4 W
514 514 1 1024
8 FI S4 W
516 516 1 1024
8 FI S4 S
541 541 1 1024
8 FI S4 W
632 632 1 1024
8 FI S4 W
876 876 1 1024
8 FI S4 W
910 910 1 1024
8 FI S4 S
952 952 1 1024
8 FI S4 W
966 966 1 1024
8 FI S4 W
1007 1007 1 1024
8 FI S4 BP
603 603 23 23
9 FI S5 W
93 93 1 1024
9 FI S5 W
328 328 1 1024
9 FI S5 S
409 409 1 1024
9 FI S5 W
962 962 1 1024
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