Yes, in some cases. For instance, let's suppose you have a dataset with several sessions including analyses of heated/equilibrated gases, carbonate standards, and unknwons samples. In order to reprocess these data in a new reference frame anchored to carbonate standards, you may enter the nominal values of these new carbonate standard in the “Standardization Settings” text box, and rename all your heated/equilibrated gases so that all gases equilibrated at the same temperature are named as a single unknown sample, e.g., HG
, EG-25
... Using the pooled standardization approach will ensure that the gas analyses are fully used to constrain the compositional/gas slope, while still anchoring the final, absolute Δ47 values to the carbonate standards specified in the standardization settings.
For this approach to succeed the follwoing conditions must be met:
ClumpyCrunch is an open-source
application built on
Flask and
D47crunch v0.6.2dev1,
using the standardization methods described by
Daëron (in prep.).
ClumpyCrunch retains no records of your analytical data after you close your browser window.
All questions/suggestions are welcome and should be directed at
Mathieu Daëron.