Roberta
Thanks for your email. On the questions:
1. There is not a universally applicable answer to this. The Boundaries should be used to reflect changes in sampling rates - so if you have a lot of samples from particular layers they should be bracketed with boundaries. Where you have just the event (eg E1) it should not really make any difference if this is a boundary or not - unless you have a lot of dates immediately above or below where they should be.
2. Yes - in the table window use [Edit > Format] and select μ and σ from the summary statistics - then press [Ok].
3. If you want to add uncertainty to the final outputs you can do that using code like:
Plot()
{
Sequence("Trench")
{
Boundary("Base");
Phase("Unit2")
{
C_Date("KAZT1", -8075, 753);
C_Date("KAZT2", -7378, 679);
};
Boundary("Top_U2");
Date("E2");
Phase("Unit5")
{
C_Date("KAZT3", -7196, 707);
C_Date("KAZT4", -8356, 772);
C_Date("KAZT5", -7512, 681);
};
Boundary("Top_U5");
Date("E1");
C_Date("KAZT6", 481, 125);
Boundary("Young");
};
Base_Sigma=Base+N(0,200);
Top_U2_Sigma=Top_U2+N(0,200);
E2_Sigma=E2+N(0,200);
Top_U5_Sigma=Top_U5+N(0,200);
E1_Sigma=E1+N(0,200);
Young_Sigma=Young+N(0,200);
};
This will add an extra 200 year uncertainty in this case to the events named ..._Sigma at the bottom. A couple of things to note:
a) if you want to use code like this your event names should not have spaces etc - they need to be valid parameter names so they can be used in an expression. I have changed your "Top U2" to "Top_U2" for example.
b) you can only add a defined extra error term - so not proportional to age.
c) these errors are all independent - perhaps you want them to be dependent. This might be better done another way
If you want to apply the uncertainty to the IRSL ages - it is better to enter them as ages and then you can add in a proportional uncertainty which is systematic. The following code assumes the measurements were made at the start of 2023 and there is a systematic additional 2% error:
Plot()
{
Uncertainty=N(1,0.02);
Sequence("Trench")
{
Boundary("Base");
Phase("Unit2")
{
Date("KAZT1",2023-N(10098,753)*Uncertainty);
Date("KAZT2",2023-N(9401,679)*Uncertainty);
};
Boundary("Top_U2");
Date("E2");
Phase("Unit5")
{
Date("KAZT3",2023-N(9219,707)*Uncertainty);
Date("KAZT4",2023-N(10397,772)*Uncertainty);
Date("KAZT5",2023-N(9535,681)*Uncertainty);
};
Boundary("Top_U5");
Date("E1");
Date("KAZT6",2023-N(1542,125)*Uncertainty);
Boundary("Young");
};
};
If you also had radiocarbon in here - all the IRSL dates would move systematically. This approach is useful if you have some systematic component to the error such as water content.
Best wishes
Christopher
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