Zircon U-Pb geochronology is a staple of crustal evolution studies and sedimentary provenance analysis. Constructing (detrital) U-Pb age spectra is straightforward for concordant (PbU)-Pb-206-U-/238 and (PbPb)-Pb-207-Pb-/206 compositions. But unfortunately, many U-Pb datasets contain a significant proportion of discordant analyses. This paper investigates two decisions that must be made when analysing such discordant U-Pb data. First, the analyst must choose whether to use the (PbU)-Pb-206-U-/238 or the (PbPb)-Pb-207-Pb-/206 date. The (PbU)-Pb-206-U-/238 method is more precise for young samples, whereas the (PbPb)-Pb-207-Pb-/206 method is better suited for old samples. However there is no agreement which "cutoff" should be used to switch between the two. This subjective decision can be avoided by using single-grain concordia ages. These represent a kind of weighted mean between the (PbU)-Pb-206-U-/238 and (PbPb)-Pb-207-Pb-/206 methods, which offers better precision than either of the latter two methods. A second subjective decision is how to define the discordance cutoff between "good" and "bad" data. Discordance is usually defined as (1) the relative age difference between the (PbU)-Pb-206-U-/238 and (PbPb)-Pb-207-Pb-/206 dates. However, this paper shows that several other definitions are possible as well, including (2) the absolute age difference; (3) the common-Pb fraction according to the Stacey-Kramers mantle evolution model; (4) the p value of concordance; (5) the perpendicular log ratio (or "Aitchison") distance to the concordia line; and (6) the log ratio distance to the maximum likelihood composition on the concordia line. Applying these six discordance filters to a 70 869-grain dataset of zircon U-Pb compositions reveals that (i) the relative age discordance filter tends to suppress the young age components in U-Pb age spectra, whilst inflating the older age components; (ii) the Stacey-Kramers discordance filter is more likely to reject old grains and less likely to reject young ones; (iii) the p-value-based discordance filter has the undesirable effect of biasing the results towards the least precise measurements; (iv) the log-ratio-based discordance filters are strictest for Proterozoic grains and more lenient for Phanerozoic and Archaean age components; (v) of all the methods, the log ratio distance to the concordia composition produces the best results, in the sense that it produces age spectra that most closely match those of the unfiltered data: it sharpens age spectra but does not change their shape. The popular relative age definition fares the worst according to this criterion. All the methods presented in this paper have been implemented in the IsoplotR toolbox for geochronology.
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Univ Fed Rio Grande do Sul, Inst Geociencias, BR-91501970 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Inst Geociencias, BR-91501970 Porto Alegre, RS, Brazil
Hartmann, Leo Afraneo
Schneider Santos, Joao Orestes
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RedStone Resources, Perth, WA 6004, AustraliaUniv Fed Rio Grande do Sul, Inst Geociencias, BR-91501970 Porto Alegre, RS, Brazil
Schneider Santos, Joao Orestes
McNaughton, Neal Jesse
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Univ Western Australia, Sch Earth & Geog Sci, Crawley, WA 6009, AustraliaUniv Fed Rio Grande do Sul, Inst Geociencias, BR-91501970 Porto Alegre, RS, Brazil
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Zhao LiangLiang
Wang ZongQi
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Chinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
Wang ZongQi
Zhang XingZhou
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Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R ChinaChinese Acad Geol Sci, Inst Mineral Resources, Beijing 100037, Peoples R China
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China Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Liu, Jingyan
Lin, Changsong
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China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Lin, Changsong
Li, Sitian
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China Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
China Univ Geosci, Minist Educ, Key Lab Tecton & Petr Resources, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Li, Sitian
Cai, Zhenzhong
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PetroChina, Tarim Oil Field Co, Inst Petr Explorat & Exploitat, Korla 841000, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Cai, Zhenzhong
Xia, Shiqiang
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China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Xia, Shiqiang
Fu, Chao
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China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China
Fu, Chao
Liu, Yongquan
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China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R ChinaChina Univ Geosci, Sch Energy Resources, Beijing 100083, Peoples R China