📄️ Running Your First Models
In this notebook, we demonstrate the basic use of UCLCHEM's python module by running a simple model and then using the analysis functions to examine the output. Otherwise, it is identical to notebook 3.
📄️ Advanced Physical Modelling
In the previous tutorial, we simply modelled the chemistry of a static cloud for 1 Myr. This is unlikely to meet everybody's modelling needs and UCLCHEM is capable of modelling much more complex environments such as hot cores and shocks. In this tutorial, we model both a hot core and a shock to explore how these models work and to demonstrate the workflow that the UCLCHEM team normally follow.
📄️ Advanced Modelling in Memory
In the previous tutorial, we simply modelled the chemistry of a static cloud for 1 Myr. This is unlikely to meet everybody's modelling needs and UCLCHEM is capable of modelling much more complex environments such as hot cores and shocks. In this tutorial, we model both a hot core and a shock to explore how these models work and to demonstrate the workflow that the UCLCHEM team normally follow.
📄️ Running a Grid
A common task is to run UCLCHEM over a grid of parameter combinations. This notebook sets up a simple approach to doing so for regular grids.
📄️ Chemical Analysis
Chemical networks are complex systems where the interplay between many elements often means that small changes in one aspect of the network can greatly effect the outcome in unexpected ways. Nevertheless, there are cases where a simple chemical explanation can be found for some observed behaviour in the model outputs. This tutorial demonstrates how to use some of the functionality of the UCLCHEM library to analyse model outputs and discover these explanations.