Thessalonica? (Aesillas), silver, tetradrachms (100-65 BCE) Callataÿ
From SILVER
100 - 65 Silver 33,557 kg
Description
ObverseInscription or printing placed on the obverse.: | MAKEΔΟΝΩΝ (Greek). |
ReverseInscription or printing placed on the reverse.: | AESILLAS (Latin). |
Mint and issuing power
MintIdentifies the place of manufacture or issue of a numismatic object.: | Ancient regionAncient region.: | Modern countryModern country: | 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: | Aesillas (quaestor in the Roman province of Macedonia in c. 90 BC), Alexander III the Great (Argead king, 336-323 BC) - pretended authority (portrait), http://nomisma.org/id/macedonia_roman_province |
Chronology
FromIdentifies the initial date in a range assigned in a numismatic context. | 100 | toIdentifies the final date in a range assigned in a numismatic context.. | 65 | PeriodTime period of the numismatic object.: Hellenistic 323-30 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).: | 16,60-79<ul><li>No units of measurement were declared for this property.</li> <!--br--><li>",60-79" is not declared as a valid unit of measurement for this property.</li></ul> |
References
Die study referencePublication of the study: | Fr. de Callataÿ1 | ||
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 | 37 | 40.22 | 37 | 7.31 | 4, 5, 9, 11, 12, 17, 21, 22, 24, 26, 29, 31, 32, 33, 34, 36, 44, 45, 47, 48, 55, 56, 59, 60, 61, 62, 66, 67, 69, 73, 75, 76, 77, 78, 81, 82, 90 |
2 | 14 | 15.22 | 28 | 5.53 | 28, 35, 38, 39, 46, 51, 52, 54, 58, 68, 70, 72, 80, 84 |
3 | 8 | 8.7 | 24 | 4.74 | 20, 27, 30, 37, 53, 63, 71, 79 |
4 | 6 | 6.52 | 24 | 4.74 | 6, 14, 42, 49, 57, 74 |
5 | 3 | 3.26 | 15 | 2.96 | 25, 88, 89 |
6 | 1 | 1.09 | 6 | 1.19 | 50 |
7 | 6 | 6.52 | 42 | 8.3 | 8, 23, 43, 65, 85, 91 |
8 | 1 | 1.09 | 8 | 1.58 | 64 |
10 | 2 | 2.17 | 20 | 3.95 | 15, 16 |
11 | 1 | 1.09 | 11 | 2.17 | 41 |
12 | 1 | 1.09 | 12 | 2.37 | 86 |
13 | 1 | 1.09 | 13 | 2.57 | 83 |
14 | 2 | 2.17 | 28 | 5.53 | 10, 92 |
15 | 1 | 1.09 | 15 | 2.96 | 87 |
19 | 1 | 1.09 | 19 | 3.75 | 19 |
21 | 2 | 2.17 | 42 | 8.3 | 13, 40 |
24 | 2 | 2.17 | 48 | 9.49 | 3, 7 |
32 | 2 | 2.17 | 64 | 12.65 | 1, 18 |
50 | 1 | 1.09 | 50 | 9.88 | 2 |
Total | 92 of 92 | 100.01 | 506 of 506 | 99.97 |
Reverse dies distribution
no distribution is available
Quantification
Number of obversesNumber of obverse dies. ᵖ (o) | 92 | Number of singletons (o1)The number of singleton coins. ᵖ | 37 |
Number of reverse diesNumber of reverse dies. (r) | 241 | Number of coinsNumber of coins. (n) | 506 |
Coins per obverse dieNumber of coins per obverse die. (n/o) | 5.5 | Coins per reverse dieNumber of coins per reverse die. (n/r) | 2.1 |
Reverse per obverse ratioRatio of obverse dies divided by reverse dies. (r/o) | 2.62 | Percentage of singletons (o1)number of coins (n) divided by the number of singletons (o1) ᵖ | 40.22 % |
Original number of dies (O) (Carter 1983 formula)The estimation of the number of coins according to Carter 1983 ᵖ | 100.47 | Coins struck if 20,000 as average productivity per dieCoins made if the average productivity for obverses (according to Carter) is 20,000. ᵖ | 2,009,400 |
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) | 112.44 | Survival rate if 20,000 as average productivity per dieSurvival rate if average productivity is 20,000. ᵖ | 0.00025 |
Coverage (o = % of O) (Esty 1984 formula)Esty 1984 - coverage (% of O) ᵖ (o = % of O) | 92.69% | Die productivity if survival rate 1/2,000Average productivity if survival rate is 1/2,000. ᵖ | 10,072.66 |
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 /> 33,557 kg | Die productivity if survival rate 1/5,000Average productivity if survival rate is 1/5,000. ᵖ | 25,181.65 |
Remarks
References
- ^ Fr. de Callataÿ