Masks for marking LET Behind sectored species/energy channels as invalid. 2007-06-01: For data from 2007-03-29T15:46:32.500 through ? This version for public LET Level 1 data. The LET onboard software computes 160 sectored rates, assigned as follows: 0 - 15: H 4-6 MeV/nuc 16 - 31: 3He 4-6 32 - 47: 4He 4-6 48 - 63: 4He 6-12 64 - 79: CNO 4-6 80 - 95: CNO 6-12 96 - 111: NeMgSi 4-6 112 - 127: NeMgSi 6-12 128 - 143: Fe 4-6 144 - 159: Fe 6-12 A-side events are mapped into look-directions (sectors) as follows: L1A0a,b,c L1A1a,b,c L1A2a,b,c L1A3a,b,c L1A4a,b,c spare L2A0 6 , 5 , 5 , 3 , 3 , 3 , 2 , 1 , 1 , 0 , 0 , 0 , X , X , X , 0 L2A1 6 , 6 , 6 , 4 , 4 , 3 , 2 , 2 , 2 , 1 , 0 , 0 , 0 , 0 , 0 , 0 L2A2 7 , 6 , 6 , 5 , 4 , 4 , 3 , 2 , 2 , 1 , 1 , 0 , 0 , 0 , 0 , 0 L2A3 7 , 7 , 6 , 5 , 5 , 4 , 3 , 3 , 3 , 1 , 1 , 1 , 0 , 0 , 0 , 0 L2A4 7 , 7 , 7 , 5 , 5 , 5 , 4 , 3 , 3 , 2 , 1 , 1 , 0 , 0 , 0 , 0 L2A5 7 , 7 , 7 , 6 , 6 , 5 , 4 , 4 , 3 , 2 , 2 , 2 , 0 , 0 , 0 , 0 L2A6 7 , 7 , 7 , 6 , 6 , 6 , 4 , 4 , 4 , 3 , 2 , 2 , 1 , 0 , 0 , 0 L2A7 7 , 7 , 7 , 7 , 6 , 6 , 5 , 5 , 4 , 3 , 3 , 2 , 1 , 1 , 0 , 0 L2A8 7 , 7 , 7 , 7 , 7 , 6 , 5 , 5 , 5 , 4 , 3 , 3 , 1 , 1 , 1 , 0 L2A9 X , X , X , 7 , 7 , 7 , 6 , 6 , 5 , 4 , 4 , 4 , 2 , 2 , 1 , 0 For B-side events, add 8 to each element of the above table to find the sector number for a given L1-L2 combination. 160 rows of masks - one row for each of the 160 sectored rates. Each factors row contains the following fields: Num, Elo, Ehi, Mask If the Mask is 1.0, the species/energy combination is valid. If the Mask is 0.0, the species/energy combination is invalid. BEGIN 0 4.0 6.0 1.0 1 4.0 6.0 1.0 2 4.0 6.0 1.0 3 4.0 6.0 1.0 4 4.0 6.0 1.0 5 4.0 6.0 1.0 6 4.0 6.0 1.0 7 4.0 6.0 1.0 8 4.0 6.0 1.0 9 4.0 6.0 1.0 10 4.0 6.0 1.0 11 4.0 6.0 1.0 12 4.0 6.0 1.0 13 4.0 6.0 1.0 14 4.0 6.0 1.0 15 4.0 6.0 1.0 16 4.0 6.0 0.0 17 4.0 6.0 0.0 18 4.0 6.0 0.0 19 4.0 6.0 0.0 20 4.0 6.0 0.0 21 4.0 6.0 0.0 22 4.0 6.0 0.0 23 4.0 6.0 0.0 24 4.0 6.0 0.0 25 4.0 6.0 0.0 26 4.0 6.0 0.0 27 4.0 6.0 0.0 28 4.0 6.0 0.0 29 4.0 6.0 0.0 30 4.0 6.0 0.0 31 4.0 6.0 0.0 32 4.0 6.0 1.0 33 4.0 6.0 1.0 34 4.0 6.0 1.0 35 4.0 6.0 1.0 36 4.0 6.0 1.0 37 4.0 6.0 1.0 38 4.0 6.0 1.0 39 4.0 6.0 1.0 40 4.0 6.0 1.0 41 4.0 6.0 1.0 42 4.0 6.0 1.0 43 4.0 6.0 1.0 44 4.0 6.0 1.0 45 4.0 6.0 1.0 46 4.0 6.0 1.0 47 4.0 6.0 1.0 48 6.0 12.0 1.0 49 6.0 12.0 1.0 50 6.0 12.0 1.0 51 6.0 12.0 1.0 52 6.0 12.0 1.0 53 6.0 12.0 1.0 54 6.0 12.0 1.0 55 6.0 12.0 1.0 56 6.0 12.0 1.0 57 6.0 12.0 1.0 58 6.0 12.0 1.0 59 6.0 12.0 1.0 60 6.0 12.0 1.0 61 6.0 12.0 1.0 62 6.0 12.0 1.0 63 6.0 12.0 1.0 64 4.0 6.0 1.0 65 4.0 6.0 1.0 66 4.0 6.0 1.0 67 4.0 6.0 1.0 68 4.0 6.0 1.0 69 4.0 6.0 1.0 70 4.0 6.0 1.0 71 4.0 6.0 1.0 72 4.0 6.0 1.0 73 4.0 6.0 1.0 74 4.0 6.0 1.0 75 4.0 6.0 1.0 76 4.0 6.0 1.0 77 4.0 6.0 1.0 78 4.0 6.0 1.0 79 4.0 6.0 1.0 80 6.0 12.0 1.0 81 6.0 12.0 1.0 82 6.0 12.0 1.0 83 6.0 12.0 1.0 84 6.0 12.0 1.0 85 6.0 12.0 1.0 86 6.0 12.0 1.0 87 6.0 12.0 1.0 88 6.0 12.0 1.0 89 6.0 12.0 1.0 90 6.0 12.0 1.0 91 6.0 12.0 1.0 92 6.0 12.0 1.0 93 6.0 12.0 1.0 94 6.0 12.0 1.0 95 6.0 12.0 1.0 96 4.0 6.0 1.0 97 4.0 6.0 1.0 98 4.0 6.0 1.0 99 4.0 6.0 1.0 100 4.0 6.0 1.0 101 4.0 6.0 1.0 102 4.0 6.0 1.0 103 4.0 6.0 1.0 104 4.0 6.0 1.0 105 4.0 6.0 1.0 106 4.0 6.0 1.0 107 4.0 6.0 1.0 108 4.0 6.0 1.0 109 4.0 6.0 1.0 110 4.0 6.0 1.0 111 4.0 6.0 1.0 112 6.0 12.0 1.0 113 6.0 12.0 1.0 114 6.0 12.0 1.0 115 6.0 12.0 1.0 116 6.0 12.0 1.0 117 6.0 12.0 1.0 118 6.0 12.0 1.0 119 6.0 12.0 1.0 120 6.0 12.0 1.0 121 6.0 12.0 1.0 122 6.0 12.0 1.0 123 6.0 12.0 1.0 124 6.0 12.0 1.0 125 6.0 12.0 1.0 126 6.0 12.0 1.0 127 6.0 12.0 1.0 128 4.0 6.0 1.0 129 4.0 6.0 1.0 130 4.0 6.0 1.0 131 4.0 6.0 1.0 132 4.0 6.0 1.0 133 4.0 6.0 1.0 134 4.0 6.0 1.0 135 4.0 6.0 1.0 136 4.0 6.0 1.0 137 4.0 6.0 1.0 138 4.0 6.0 1.0 139 4.0 6.0 1.0 140 4.0 6.0 1.0 141 4.0 6.0 1.0 142 4.0 6.0 1.0 143 4.0 6.0 1.0 144 6.0 12.0 1.0 145 6.0 12.0 1.0 146 6.0 12.0 1.0 147 6.0 12.0 1.0 148 6.0 12.0 1.0 149 6.0 12.0 1.0 150 6.0 12.0 1.0 151 6.0 12.0 1.0 152 6.0 12.0 1.0 153 6.0 12.0 1.0 154 6.0 12.0 1.0 155 6.0 12.0 1.0 156 6.0 12.0 1.0 157 6.0 12.0 1.0 158 6.0 12.0 1.0 159 6.0 12.0 1.0