A GUI to automatically create a TOPAS-readable MLC simulation file

Last update: Jun 19, 2022

Overview

topas-create-custom-mlc

A GUI to automatically create a TOPAS-readable MLC simulation file

Modern MLCs can have very compley leaf designs. Since not all geometries can be build using TOPAS, this script creates a custom MLC architecture from a CAD file describing a single leaf (.stl). Using a GUI, the positions of up to 64 leaf pairs can be individually customized - simply limited by the screen height. However, an arbitary amount of leaf pairs can be positioned using rectangular fields, or using presets.

Usage

Before starting the script, a couple of options need to be set to match the program to your .stl file.

Change the values in the ###Setup### portion of the script to match your requirements:

leaf_stl_path : Let TOPAS know where to find the .stl file describing the leaf
number_of_leaf_pairs : Number of leaf pairs in the MLC
MLC-TransZ : Distance from the Source to the top of the MLC, in cm
SSD : Source-Surface-Distance, in cm
dist_from_xy_plane_to_top_edge : Z-Coordinate of the .stl environment (ideally this would be 0), in mm
dist_from_z_axis_to_inner_edge : X-/Y-Coordinate of the .stl environment (deviation from centre axis), in mm

Preview

Extended Functionality

This program is capable of reflecting leaf bank rotation. The user can change TransY and RotX in the CreateTopasMLCFile() function (custom_mlc_creator_functions.py) to supply a list describing the rotation of each leaf as well as the vertical position. Also, this program assumes the .stl file is set up in so that the field defining face is already facing the Z-axis. In case it is not, the values in RotX should be changed to 0 instead of 180 (degrees).

Dependencies

Requires python3, numpy, and tkinter.
The tkSliderWidget.py is adapted from https://github.com/MenxLi/tkSliderWidget.

You might also like...

A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

Releases(v1.0.0)

v1.0.0(Dec 20, 2021)

Functional GUI
Source code(tar.gz)
Source code(zip)

A GUI to automatically create a TOPAS-readable MLC simulation file

Related tags

Overview

topas-create-custom-mlc

A GUI to automatically create a TOPAS-readable MLC simulation file

Usage

Preview

Extended Functionality

Dependencies

You might also like...

A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

Notspot robot simulation - Python version

Megaverse is a new 3D simulation platform for reinforcement learning and embodied AI research

NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-based Simulation (ACL-IJCNLP 2021)

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

Simulation of the solar system using various nummerical methods

Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.

Autonomous Ground Vehicle Navigation and Control Simulation Examples in Python

Simulation code and tutorial for BBHnet training data

Releases(v1.0.0)

v1.0.0(Dec 20, 2021)

Functional GUI

Owner

Sebastian Schäfer

Official implementation for paper: Feature-Style Encoder for Style-Based GAN Inversion

CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"

Code for our paper 'Generalized Category Discovery'

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"

Image Captioning using CNN and Transformers

Source code for From Stars to Subgraphs

An implementation of paper `Real-time Convolutional Neural Networks for Emotion and Gender Classification` with PaddlePaddle.

Repo for EchoVPR: Echo State Networks for Visual Place Recognition

working repo for my xumx-sliCQ submissions to the ISMIR 2021 MDX

GrabGpu_py: a scripts for grab gpu when gpu is free

An off-line judger supporting distributed problem repositories

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch

Artificial Intelligence playing minesweeper 🤖

DC540 hacking challenge 0x00005a.

code for our paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, ICCV-2021".