Towards the robust selection of Thellier-type paleointensity data: The influence of experimental noise

摘要: [1] The process of data selection in paleointensity studies is an essential step to ensure fidelity. There is, however, no consensus as the best approach consistently select with most using arbitrarily defined thresholds for selection. We present a new numerical model that simulates variability from hypothetical ideal samples acquiring thermoremanent magnetization (TRM) by incorporating experimental noise, which has been constrained over 75,000 measurements. Using Monte Carlo analyses, we investigate behavior simulated and characterize distributions parameters typically used data. use 95th percentiles define maximum likely parameter values can result noise. These represent below cannot distinguish non-ideal find number are highly sensitive noise laboratory field strength (e.g., partial TRM, pTRM, checkCDRAT pTRM tail check δt*); this sensitivity may diminish their ability identify behavior. The fractional (f) dependence some proportion inaccurate results provide justification f≥ 0.35 when selecting both Thellier-Thellier Coe protocol experiments. manifestation original Thellier method, different methods zero-field heating steps. This suggests procedure method should be different, but it also that, contrary previous accuracy scatter more than general taken here shown powerful means understanding potential extended models resulting alteration multidomain grains.