Skip to main content

Thad Roberts Model Library

Project description

Thads Roberts Model Library

The idea

Thads Roberts Model Library was built to check the properties, validity and level of confidence of Thads Roberts Model particles masses equations presented here:

https://vortex.institute/wp-content/uploads/2020/03/The-Boundaries-of-Fluid-Quantization-Draft-2020-03-30.pdf

For the purpose of this library we will name Ramanujan-Soldner constant with RS abbreviation, and N real solution to the simple vortex equation as RSSVE_N. The idea is to calculate values of RS+3+Pi predicted by each equation with error range, and confront it with exact RS+3+Pi value. Particle masses are taken from NIST 2018 standard with symmetric error as a max of asymmetric errors if asymmetry is present. Numerical calculations error problem was solved by applying Decimal class as a number representation.

Code form

It is standard pypi.org package.

How to install

You can install last version from pypi.org using pip:

pip install thad_roberts_model

How to use it?

Currently Library prints analytical report when:

from thad_roberts_model import *

ThadRobertsModel().verify()

is called.

Results discussion

Above report shows that Thads Roberts Model is in agreement with physical mass data in the error range, but confidence level of this agreement is very low. Only one equation with NEUTRON, PROTON and ELECTRON gives 6 digit accuracy for RS+3+Pi constant in base 10 system. One equation gives 2 digits accuracy, and three other equations give 1 digit accuracy. There is also other unrelated question regarding reliability of mass measurement due to renormalization problem, but it is not a topic for this library.

Project details


Download files

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

Source Distribution

thad-roberts-model-0.1.3.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

thad_roberts_model-0.1.3-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file thad-roberts-model-0.1.3.tar.gz.

File metadata

  • Download URL: thad-roberts-model-0.1.3.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for thad-roberts-model-0.1.3.tar.gz
Algorithm Hash digest
SHA256 ab8ffa9f42f20292c0326058c9a0028fc2e6684f772df35319c1728609c61b12
MD5 e51fbc995a558a1af1e00703f8f40e13
BLAKE2b-256 0737c27e0b6486a4452c3f0102a99b5c465bd25661f130e0339db7b9f1defa81

See more details on using hashes here.

File details

Details for the file thad_roberts_model-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: thad_roberts_model-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 5.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for thad_roberts_model-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 34c2ba2832364dc76fce980ade92c0bc84f39516ec1d0ab84ca49f4d024f3228
MD5 2eab36f4a0de61e789f3ef07ae82987c
BLAKE2b-256 792e8e39a8261c287dc875c40f1916c942c69bc588f0d6c85181f4e906bffb2a

See more details on using hashes here.

Supported by

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