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 equality with RS+3+Pi value is low for all except one equation. Only one equation for NEUTRON, PROTON, ELECTRON triplet gives 6 digit accuracy for RS+3+Pi constant in base 10 system, which is very good result, but this is the only equation with such a good agreement. One equation gives 2 digits accuracy, and three other equations give 1 digit accuracy. There is also a question regarding reliability of mass measurement due to renormalization problem, but it is not a topic for this library. Due to big errors of mass measurement and renormalization problem it will be very difficult to verify experimentally Thads Roberts Model masses equations except for the NEUTRON, PROTON, ELECTRON triplet.

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-0.1.5.tar.gz (4.2 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-0.1.5-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file thad-roberts-model-0.1.5.tar.gz.

File metadata

  • Download URL: thad-roberts-model-0.1.5.tar.gz
  • Upload date:
  • Size: 4.2 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-0.1.5.tar.gz
Algorithm Hash digest
SHA256 3c22fa1557fe5cb12e8603fad8571e9a463849d03fe4d343819c1adffd292b49
MD5 4aed036e709addc00fd8fdbfde782e93
BLAKE2b-256 d84562636af76b330f593ec26cc2944abaec807a0782e37eb5e7c397731c4122

See more details on using hashes here.

File details

Details for the file thad_roberts_model-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: thad_roberts_model-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 5.8 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-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 97ca3bf407a52db01fb60dfe1ebda2634a3c07cace11ad3024f53ca674cf15bc
MD5 cc9d765e084289a6cc62047ee00cf4cf
BLAKE2b-256 756e4d60eae2c16766e060a134cb6b7a3c8a4c1ff0ad869cab01075e259fc059

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