Thessalonica? (Aesillas), silver, tetradrachms (100-65 BCE) Bauslaugh
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Revision as of 09:07, 21 October 2022
100 - 65 Silver 35,071 kg
Description
ObverseInscription or printing placed on the obverse.: | Différentes légendes : 1) MAKEΔΟΝΩΝ ; 2) CAE PR MAKEΔΟΝΩΝ ; 3) S I MAKEΔΟΝΩΝ (Grec et latin). |
ReverseInscription or printing placed on the reverse.: | Différentes légendes : 1) AESILLAS Q. ; 2) SVVRA LEG PRO Q (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), Roman province of Macedonia |
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).: | 16,69-16,24<ul><li>No units of measurement were declared for this property.</li> <!--br--><li>",69-16,24" is not declared as a valid unit of measurement for this property.</li></ul> |
References
Die study referencePublication of the study: | R. A. Bauslaugh1 | ||
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 | 34 | 33.33 | 34 | ||
2 | 11 | 10.78 | 22 | ||
3 | 8 | 7.84 | 24 | ||
4 | 10 | 9.8 | 40 | ||
5 | 3 | 2.94 | 15 | ||
6 | 11 | 10.78 | 66 | ||
7 | 2 | 1.96 | 14 | ||
8 | 5 | 4.9 | 40 | ||
9 | 8 | 7.84 | 72 | ||
10 | 3 | 2.94 | 30 | ||
11 | 2 | 1.96 | 22 | ||
12 | 1 | 0.98 | 12 | ||
13 | 1 | 0.98 | 13 | ||
17 | 1 | 0.98 | 17 | ||
18 | 1 | 0.98 | 18 | ||
Total | 101 of 102 | 98.99 | 439 of 1,000 |
Reverse dies distribution
no distribution is available
Quantification
Number of obversesNumber of obverse dies. ᵖ (o) | 102 | Number of singletons (o1)The number of singleton coins. ᵖ | |
Number of reverse diesNumber of reverse dies. (r) | 377 | Number of coinsNumber of coins. (n) | NC"NC" is not a number. |
Coins per obverse dieNumber of coins per obverse die. (n/o) | Coins per reverse dieNumber of coins per reverse die. (n/r) | ||
Reverse per obverse ratioRatio of obverse dies divided by reverse dies. (r/o) | 3.7 | 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 | Expression error: Unrecognized word "nc". | Coins struck if 20,000 as average productivity per dieCoins made if the average productivity for obverses (according to Carter) is 20,000. ᵖ | |
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) | Survival rate if 20,000 as average productivity per dieSurvival rate if average productivity is 20,000. ᵖ | 0.00048 | |
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 | |
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 | 35,071 kg | Die productivity if survival rate 1/5,000Average productivity if survival rate is 1/5,000. ᵖ |
Remarks
References
- ^ R. A. Bauslaugh