skills.rest
xjtulyc
xjtulycCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

radiocarbon-dating

Calibrate radiocarbon measurements into calendar-age probability distributions with HPD intervals.

33|6|Updated Mar 17, 2026
Search Tags:#radiocarbon#calibration curve#bayesian mcmc#archaeology dating#stratigraphic constraints#hpd intervals#geochronology
One-click install
npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill radiocarbon-dating
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: radiocarbon-dating
Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/15-archaeology/radiocarbon-dating
Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill radiocarbon-dating

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of converting raw radiocarbon (14C) measurements into calendar-age estimates with credible uncertainty intervals. It also addresses the need to model multiple dates together using stratigraphic ordering constraints and to report results in publication-ready conventions.

Core Features & Use Cases

  • Radiocarbon calibration: Calibrates single dates against IntCal20, SHCal20, or Marine20 curves to produce a calibrated probability distribution.
  • Bayesian sequence modeling: Fits a stratigraphically constrained set of dates using MCMC to generate posterior samples and summary statistics per layer.
  • Wiggle matching support: Estimates best-fit alignment for ring sequences with known inter-ring time gaps (floating tree-ring style calibration).
  • Uncertainty reporting: Computes summary statistics (mean/median/mode/sigma) and HPD intervals (e.g., 68% and 95%) in calibrated years, including cal BP to CE/BCE conversion.

Quick Start

Use the radiocarbon-dating skill to calibrate the measurement 2850 ± 35 BP against the IntCal20 curve and return calibrated median, sigma, and 95% HPD intervals.

Frequently Asked Questions about radiocarbon-dating

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calibrate radiocarbon dates using the IntCal20 curve?▼

Calibrate conventional radiocarbon measurements against the IntCal20 curve to generate calibrated calendar-age probability distributions with median, sigma, and 95% HPD intervals.

What is Bayesian stratigraphic sequence modeling for archaeological dating?▼

Bayesian stratigraphic sequence modeling fits stratigraphically constrained radiocarbon dates using MCMC to generate posterior samples and per-layer summary statistics for multi-layer burial sequences.

How do I compute HPD intervals for calibrated radiocarbon ages?▼

Compute HPD intervals by extracting summary statistics like mean, median, and sigma from calibrated probability distributions, outputting 68% and 95% uncertainty intervals in calibrated years with cal BP to CE/BCE conversion.

Can I use wiggle matching for floating tree-ring sequences in geochronology?▼

Yes, wiggle matching estimates best-fit alignment for ring sequences with known inter-ring time gaps, applying floating tree-ring style calibration to radiocarbon measurements in geochronology scenarios.

Does radiocarbon calibration support the SHCal20 and Marine20 curves?▼

Yes, radiocarbon calibration supports loading and interpolating IntCal20, SHCal20, and Marine20 curve parameters to compute likelihoods for terrestrial and marine geochronology samples.

Related Skills

Explore More Education & Research Skills→
jpfieldingjpfielding

macrostrat

Query Macrostrat for formation ages, lithology, thickness, and depositional environments.

Community
Intermediate
fundamental-physicsfundamental-physics
17

anesthetic

Visualize Bayesian posterior samples from nested sampling and MCMC chains.

Official
Advanced
luisschmitzheadlineluisschmitzheadline
23

superforecaster

Compute probability estimates, confidence intervals, and scenario analyses for user questions.

Community
Advanced
brainbytes-devbrainbytes-dev
10

bayesian-methods

Quantify uncertainty in trading parameter estimates and portfolio optimization using Bayesian methods.

Community
Advanced