S 1705 - Amphipolis (Alexander the Great), gold, staters (329-323 BCE)
From SILVER
329 BCE - 319 BCE Gold 169,248 kg
Description
| ObverseInscription or printing placed on the obverse.: | Head of Athena to right, wearing crested Corinthian helmet decorated with a coiled serpent |
| ReverseInscription or printing placed on the reverse.: | AΛEΞANΔΡOΥ (Greek).Nike standing front, head to left, with her wings spread, holding laurel wreath in her right hand and stylis in her left, to left, trident-head downward |
Mint and issuing power
| MintIdentifies the place of manufacture or issue of a numismatic object.: | Amphipolis | Ancient regionAncient region.: | Macedon | Modern countryModern country: Greece | 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: | Alexander III the Great (Argead king, 336-323 BC) |
Chronology
| FromIdentifies the initial date in a range assigned in a numismatic context. | 329 BCE | toIdentifies the final date in a range assigned in a numismatic context.. | 319 BCE | PeriodTime period of the numismatic object.: Classical and Hellenistic |
Physical description
| MetalThe physical material (usually metal) from which an object is made.: | Gold 
|
Median weightMedian of the weights of numismatic objects (in grams). in grams | 8.60 | DenominationTerm indicating the value of a numismatic object. Examples: tetradrachm, chalkous, denarius.: | stater
|
StandardStandard.: | Attic |
Image
S1705 Amphipolis Alexander staters.jpg [1]
References
| Die study referencePublication of the study: | Troxell 19971Troxell 1997, p. 102-105 | ||
| Coin series referenceReference to coin series study: | Price 19912Price 1991, n° 172 | ||
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 | 7 | 8.97 | 7 | 2.94 | 7, 17, 20, 24, 25, 27, 28 |
| 2 | 7 | 8.97 | 14 | 5.88 | 1, 6, 13, 15, 19, 23, 29 |
| 3 | 3 | 3.85 | 9 | 3.78 | 8, 11, 26 |
| 4 | 4 | 5.13 | 16 | 6.72 | 3, 4, 5, 16 |
| 5 | 2 | 2.56 | 10 | 4.2 | 21, 30 |
| 6 | 3 | 3.85 | 18 | 7.56 | 2, 10, 14 |
| 7 | 1 | 1.28 | 7 | 2.94 | 9 |
| 8 | 2 | 2.56 | 16 | 6.72 | 12, 22 |
| 11 | 1 | 1.28 | 11 | 4.62 | 18 |
| Total | 30 of 78 | 38.45 | 108 of 238 | 45.36 |
Reverse dies distribution
no distribution is available
Quantification
| Number of obversesNumber of obverse dies. ᵖ (o) | 78 | Number of singletons (o1)The number of singleton coins. ᵖ | |
| Number of reverse diesNumber of reverse dies. (r) | Number of coinsNumber of coins. (n) | 238 | |
| Coins per obverse dieNumber of coins per obverse die. (n/o) | 3.05 | Coins per reverse dieNumber of coins per reverse die. (n/r) | |
| Reverse per obverse ratioRatio of obverse dies divided by reverse dies. (r/o) | Percentage of singletons (o1)number of coins (n) divided by the number of singletons (o1) ᵖ | % | |
| Original number of dies (O) (Carter 1983 formula)The estimation of the number of coins according to Carter 1983 ᵖ | 98.4 | Coins struck if 20,000 as average productivity per dieCoins made if the average productivity for obverses (according to Carter) is 20,000. ᵖ | 1,968,000 |
| 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) | 116.03 | Survival rate if 20,000 as average productivity per dieSurvival rate if average productivity is 20,000. ᵖ | 0.00012 |
| Coverage (o = % of O) (Esty 1984 formula)Esty 1984 - coverage (% of O) ᵖ (o = % of O) | % | Die productivity if survival rate 1/2,000Average productivity if survival rate is 1/2,000. ᵖ | 4,837.4 |
| 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 | 169,248 kg <br /> 169,248 kg | Die productivity if survival rate 1/5,000Average productivity if survival rate is 1/5,000. ᵖ | 12,093.5 |
Remarks
Most likely more than 2 workstations
