setting reference curve

[LJ16]

Hi
in /File/ApplicationSettings/14C there is no reference curve
there are the files reference curve , format ?

Thks LJ

[chrono35]

Hello LJ.

What version of ChronoModel are you using?
Usually this problem occurs, during the installation with windows, when the account does not have the administrator rights.

In this case, the following file can solve the problem:
https://github.com/Chronomodel/chronomodel/releases/download/v2.0.18/installCurvesOnWin_20200212.zip

Just unzip the file and double click on the file Install.bat

If you are under Linux (Ubuntu), the solution is here:
issues 104

Kind regards,

Philippe D.

for the ChronoModel Team

[LJ16]

ok thanks it's ok for Ubuntu version, but not for intcal20 !
and i think existing a Sahara reference curve
LJ

[chrono35]

Hi L.J.
You can find intcal20.14C here http://intcal.org/curves/intcal20.14c
I don't know a special curve for the Sahara
But there is another curve for the Southern Hemisphere. shcal20.14C http://intcal.org/curves/shcal20.14c
I am not sure if it is suitable for the Sahara!
If you know another one. I'm interested to integrate it in the next versions.

To use them in ChronoModel, you can add the curves in the 14C plugin preferences.

Best regards

[LJ16]

thanks
i don't know if are officials references curves
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiqntiOhsryAhUR14UKHXPhBEsQFnoECAIQAQ&url=https%3A%2F%2Fstatic.cambridge.org%2Fcontent%2Fid%2Furn%3Acambridge.org%3Aid%3Aarticle%3AS0033822220000958%2Fresource%2Fname%2FS0033822220000958sup001.pdf&usg=AOvVaw3Q8f3qbHbFBYTjetE6Evo9

Eastern Mediterranean 14C Dataset from Roberts et al 2018

data(emedyd) # this is available within the rcarbon package
emedyd <- subset(emedyd, CRA<=17000&CRA>=8000)
southLevant <- subset(emedyd,Region=='1') #

Sahara 14C Dataset from Manning and Timpson 2014:

sahara <- read.csv('./data/Manning_and_Timpson2014.csv',header=TRUE)
sahara <- subset(sahara,Yrs.BP<=17000&Yrs.BP>=8000)

1# Brazilian 14C Dataset from Bueno et al 2013:
brazil <- read.csv('./data/Bueno_etal_2013.csv',header=TRUE)
brazil <- subset(brazil,OccCRA<=17000&OccCRA>=8000)

[chrono35]

Hello LJ,
thanks for the reference.

In this article: Crema, E., & Bevan, A. (2021). INFERENCE FROM LARGE SETS OF RADIOCARBON DATES: SOFTWARE AND METHODS. Radiocarbon, 63(1), 23-39. doi:10.1017/RDC.2020.95
Sahara and Brazil data are used for the simulation. But they are calibrated with the intcal20.14c and shcal20.14c curve.
In the article:

Basic calibration in rcarbon is conducted with reference either to one of the established marine or terrestrial calibration curves or to a user-specific custom curve (in what follows, IntCal20 is used throughout: Reimer et al. 2020).

In the supplementary materials : Supplementary materials
In the R code:

southlevant.x <- calibrate(southLevant$CRA, southLevant$Error,  normalised=F, verbose=F, calCurves='intcal20')

sahara.x <- calibrate(sahara$Yrs.BP,sahara$STD, normalised=F, verbose=F, calCurves='intcal20') 

brazil.x <- calibrate(brazil$CRA, brazil$Error, normalised=F, verbose=F, calCurves='shcal20')

This discussion diverges somewhat from the software development framework. If you wish we can continue it by contacting us via the official site chronomodel.com in work. But the contact address works.

Best regards

[LJ16]

thanks for yours replies
LJ