Skip to main content

tW analysis tools

Project description

tdub

Actions Status Documentation Status PyPI Python Version

tdub is a Python project for handling some downstsream steps in the ATLAS Run 2 tW inclusive cross section analysis. The project provides a simple command line interface for performing standard analysis tasks including:

  • BDT feature selection and hyperparameter optimization.
  • training BDT models on our Monte Carlo.
  • applying trained BDT models to our data and Monte Carlo.
  • generating plots from various raw sources (our ROOT files and classifier training output).
  • generating plots from the output of TRExFitter.

For potentially finer-grained tasks the API is fully documented. The API mainly provides quick and easy access to pythonic representations (i.e. dataframes or NumPy arrays) of our datasets (which of course originate from ROOT files), modularized ML tasks, and a nice set of utilities.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

tdub-0.0.14.tar.gz (45.7 kB view details)

Uploaded Source

Built Distribution

tdub-0.0.14-py3-none-any.whl (51.3 kB view details)

Uploaded Python 3

File details

Details for the file tdub-0.0.14.tar.gz.

File metadata

  • Download URL: tdub-0.0.14.tar.gz
  • Upload date:
  • Size: 45.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5

File hashes

Hashes for tdub-0.0.14.tar.gz
Algorithm Hash digest
SHA256 30341a17d27275fbe726b436f37191b421fe13f51230d1f51a5918494a822406
MD5 f30f2aa773f6b13920179ea8d7d2ec6e
BLAKE2b-256 69fccbaafa06cd8674950b5f1dd56310531de721f949b44f15438987484fa837

See more details on using hashes here.

File details

Details for the file tdub-0.0.14-py3-none-any.whl.

File metadata

  • Download URL: tdub-0.0.14-py3-none-any.whl
  • Upload date:
  • Size: 51.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5

File hashes

Hashes for tdub-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 388234e9f43cac79e7a83efd39a0d1729345edb14830bb76920ebb8265594d28
MD5 3f4b103eff29ef0f267e6e1846e4ff6b
BLAKE2b-256 d0352f78902bd2636edbc36518ec32af50d3f630e4a0893f838683fc2f0b6fed

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page