Project description

attpc_engine

The Python AT-TPC Monte Carlo simulation engine. The engine can provide both a multi-step kinematics sample as well as simulate AT-TPC detector effects.

Installation

attpc_engine can be installed using pip as

pip install attpc_engine

It is recommended to install attpc_engine to a virtual environment.

Documentation

The documentation for attpc_engine can be found here

Requirements

attpc_engine requires Python >= 3.10 and < 3.13

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

Release history Release notifications | RSS feed

0.1.6

Jul 16, 2024

This version

0.1.5

Jul 10, 2024

0.1.4

Jun 4, 2024

0.1.3

May 30, 2024

0.1.2

May 30, 2024

0.1.0

May 28, 2024

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

attpc_engine-0.1.5.tar.gz (1.1 MB view hashes)

Uploaded Jul 10, 2024 Source

Built Distribution

attpc_engine-0.1.5-py3-none-any.whl (1.1 MB view hashes)

Uploaded Jul 10, 2024 Python 3

Hashes for attpc_engine-0.1.5.tar.gz

Hashes for attpc_engine-0.1.5.tar.gz
Algorithm	Hash digest
SHA256	`704536ebb63ba89cff66d2ec7e14af853d3f05fcaf9d9fe51625fa1b96df765c`
MD5	`e4d151c9f65840746c1188d0137e43a5`
BLAKE2b-256	`04f4b0c770ef00d180855ad9316bd4100f4db1e716590fd70bdaabeb29272c9a`

Hashes for attpc_engine-0.1.5-py3-none-any.whl

Hashes for attpc_engine-0.1.5-py3-none-any.whl
Algorithm	Hash digest
SHA256	`ca6a8a77d1d23fa3992a60d798f7c3df2ecee4ab3e235c334c024faee44c24fe`
MD5	`7368c06a4f3f9899125c04161c59c116`
BLAKE2b-256	`066ff7c8c1ddd8585cb7587c4a46313bfc22c575e644c78ee50e33c7837bef65`