AC 93 - Syracuse, silver, tetradrachms (474-450 BCE)
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Revision as of 09:24, 21 October 2022
474 - 435 Silver 24,428 kg
Description
ObverseInscription or printing placed on the obverse.: | |
ReverseInscription or printing placed on the reverse.: | ΣYPAKOΣION (Greek). |
Mint and issuing power
MintIdentifies the place of manufacture or issue of a numismatic object.: | Syracuse | Ancient regionAncient region.: | Sicily | Modern countryModern country: Italy | AuthorityIdentifies the issuing power. The authority can be "pretended" when the name or the portrait of X is on the coin but he/she was not the issuing power. It can also be "uncertain" when there is no mention of X on the coin but he/she was the issuing power according to the historical sources: |
Chronology
FromIdentifies the initial date in a range assigned in a numismatic context. | 474 | toIdentifies the final date in a range assigned in a numismatic context.. | 435 | PeriodTime period of the numismatic object.: Classical 480-323 BC |
Physical description
MetalThe physical material (usually metal) from which an object is made.: | Silver | DenominationTerm indicating the value of a numismatic object. Examples: tetradrachm, chalkous, denarius.: | tetradrachm | StandardStandard.: | |
Mode weightMode of the weights of numismatic objects (in grams).: | 17,1-9<ul><li>No units of measurement were declared for this property.</li> <!--br--><li>",1-9" is not declared as a valid unit of measurement for this property.</li></ul> |
References
Die study referencePublication of the study: | E. Boehringer1 | ||
Coin series referenceReference to coin series study: |
Obverse dies distribution
FrequencyFrequency of specimen in distribution. ᵖ | Number of obversesNumber of obverse dies. ᵖ (o) | % (o) | Number of coinsNumber of coins. (n) | % (n) | Die nameName(s) of the die(s). |
1 | 3 | 4.11 | 3 | 213, 235, 265 | |
2 | 1 | 1.37 | 2 | 236 | |
3 | 3 | 4.11 | 9 | 252, 261, 290 | |
4 | 4 | 5.48 | 16 | 254, 260, 264, 330 | |
5 | 3 | 4.11 | 15 | 234, 333, 340 | |
6 | 1 | 1.37 | 6 | 232 | |
7 | 1 | 1.37 | 7 | 320 | |
8 | 2 | 2.74 | 16 | 266, 283 | |
9 | 3 | 4.11 | 27 | 267;276;288 | |
10 | 2 | 2.74 | 20 | 211, 360 | |
11 | 1 | 1.37 | 11 | 341 | |
12 | 1 | 1.37 | 12 | 332 | |
13 | 3 | 4.11 | 39 | 212, 263, 358 | |
14 | 2 | 2.74 | 28 | 259, 293 | |
15 | 3 | 4.11 | 45 | 257, 343, 356 | |
16 | 2 | 2.74 | 32 | 255, 256 | |
17 | 2 | 2.74 | 34 | 346, 347 | |
18 | 1 | 1.37 | 18 | 286 | |
19 | 1 | 1.37 | 19 | 354 | |
20 | 3 | 4.11 | 60 | 329, 344, 359 | |
21 | 2 | 2.74 | 42 | 269, 272 | |
22 | 2 | 2.74 | 44 | 282, 328 | |
24 | 3 | 4.11 | 72 | 287, 331, 355 | |
25 | 3 | 4.11 | 75 | 253, 284, 339 | |
26 | 1 | 1.37 | 26 | 345 | |
27 | 1 | 1.37 | 27 | 275 | |
28 | 1 | 1.37 | 28 | 270 | |
29 | 1 | 1.37 | 29 | 337 | |
30 | 3 | 4.11 | 90 | 258, 274, 291 | |
31 | 2 | 2.74 | 62 | 268, 327 | |
32 | 2 | 2.74 | 64 | 295, 321 | |
33 | 1 | 1.37 | 33 | 285 | |
36 | 2 | 2.74 | 72 | 294, 342 | |
40 | 1 | 1.37 | 40 | 271 | |
43 | 2 | 2.74 | 86 | 273, 296 | |
44 | 1 | 1.37 | 44 | 289 | |
45 | 1 | 1.37 | 45 | 319 | |
46 | 1 | 1.37 | 46 | 233 | |
53 | 1 | 1.37 | 53 | 326 | |
Total | 73 of 73 | 100.01 | 1397 of 1,397 |
Reverse dies distribution
no distribution is available
Quantification
Number of obversesNumber of obverse dies. ᵖ (o) | 74 | Number of singletons (o1)The number of singleton coins. ᵖ | 3 |
Number of reverse diesNumber of reverse dies. (r) | 143 | Number of coinsNumber of coins. (n) | 1497 |
Coins per obverse dieNumber of coins per obverse die. (n/o) | 20.23 | Coins per reverse dieNumber of coins per reverse die. (n/r) | 10.47 |
Reverse per obverse ratioRatio of obverse dies divided by reverse dies. (r/o) | 1.93 | Percentage of singletons (o1)number of coins (n) divided by the number of singletons (o1) ᵖ | 4.05 % |
Original number of dies (O) (Carter 1983 formula)The estimation of the number of coins according to Carter 1983 ᵖ | 72.03 | Coins struck if 20,000 as average productivity per dieCoins made if the average productivity for obverses (according to Carter) is 20,000. ᵖ | 1,440,600 |
Original number of dies (O) (Esty 2011 formula)The estimation of the number of coins according to the singleton formula in Esty 2011 ᵖ (O) | 77.85 | Survival rate if 20,000 as average productivity per dieSurvival rate if average productivity is 20,000. ᵖ | 0.00098 |
Coverage (o = % of O) (Esty 1984 formula)Esty 1984 - coverage (% of O) ᵖ (o = % of O) | 99.8% | Die productivity if survival rate 1/2,000Average productivity if survival rate is 1/2,000. ᵖ | 41,566.01 |
Weight of silver (in kg) if 20,000 coins per die (O = Carter formula)Carter 1983 * Median weight * 20000 (*10 if gold or electrum) ᵖ | 0 kg <br /> 24,428 kg | Die productivity if survival rate 1/5,000Average productivity if survival rate is 1/5,000. ᵖ | 103,915.04 |
Remarks
References
- ^ E. Boehringer