Science Score: 49.0%

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    Found 2 DOI reference(s) in README
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    Links to: iop.org
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    Low similarity (9.4%) to scientific vocabulary
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Repository

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  • Host: GitHub
  • Owner: soumya-go
  • Language: Python
  • Default Branch: main
  • Size: 148 KB
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Created over 3 years ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

M-function Evaluation

This code evaluates the values of the M(μ, U, ω)-function in all of its parameter space.
The zero albedo case is the only possible analytical solution, whereas the M_func.py script is the most general version to calculate the triple-valued function using the Gauss–Legendre formula. The dependencies are Python with SciPy and NumPy installed in the system.

The M_parameter_test.py script provides a handle to the original M_func.py evaluation code.

A simplistic script for the analytical case is given in M_func_albdo_0.py.

All files must be located in the same folder for the code to work properly.

Related papers

Sengupta 2022, ApJ, 936, 139

Sengupta 2021, ApJ, 911, 126

Citation


### Example Plot for Zero Albedo M vs μ (Zero Albedo)
### Example Table corresponding to Zero Albedo | μ | U=0.1 | U=0.2 | U=0.3 | U=0.4 | U=0.5 | U=0.6 | U=0.7 | |:----:|:------:|:------:|:------:|:------:|:------:|:------:|:------:| | 0 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | | 0.05 | 1.0314 | 1.0648 | 1.1005 | 1.1387 | 1.1796 | 1.2235 | 1.2708 | | 0.1 | 1.0504 | 1.1061 | 1.1681 | 1.2374 | 1.3154 | 1.4040 | 1.5054 | | 0.15 | 1.0651 | 1.1392 | 1.2245 | 1.3235 | 1.4399 | 1.5789 | 1.7475 | | 0.2 | 1.0772 | 1.1673 | 1.2739 | 1.4019 | 1.5585 | 1.7545 | 2.0068 | | 0.25 | 1.0875 | 1.1918 | 1.3183 | 1.4747 | 1.6733 | 1.9336 | 2.2899 | | 0.3 | 1.0965 | 1.2135 | 1.3586 | 1.5430 | 1.7854 | 2.1181 | 2.6032 | | 0.35 | 1.1044 | 1.2330 | 1.3956 | 1.6077 | 1.8956 | 2.3093 | 2.9539 | | 0.4 | 1.1114 | 1.2507 | 1.4299 | 1.6691 | 2.0044 | 2.5083 | 3.3506 | | 0.45 | 1.1177 | 1.2668 | 1.4618 | 1.7278 | 2.1121 | 2.7162 | 3.8044 | | 0.5 | 1.1234 | 1.2816 | 1.4916 | 1.7839 | 2.2188 | 2.9340 | 4.3295 | | 0.55 | 1.1286 | 1.2952 | 1.5196 | 1.8378 | 2.3248 | 3.1628 | 4.9454 | | 0.6 | 1.1334 | 1.3079 | 1.5458 | 1.8896 | 2.4301 | 3.4036 | 5.6785 | | 0.65 | 1.1378 | 1.3196 | 1.5706 | 1.9395 | 2.5349 | 3.6579 | 6.5668 | | 0.7 | 1.1418 | 1.3306 | 1.5941 | 1.9876 | 2.6393 | 3.9267 | 7.6662 | | 0.75 | 1.1456 | 1.3408 | 1.6162 | 2.0341 | 2.7433 | 4.2117 | 9.0631 | | 0.8 | 1.1491 | 1.3504 | 1.6373 | 2.0790 | 2.8469 | 4.5145 | 10.898 | | 0.85 | 1.1524 | 1.3595 | 1.6574 | 2.1224 | 2.9503 | 4.8370 | 13.417 | | 0.9 | 1.1554 | 1.3680 | 1.6764 | 2.1645 | 3.0534 | 5.1811 | 17.091 | | 0.95 | 1.1583 | 1.3760 | 1.6946 | 2.2052 | 3.1562 | 5.5494 | 22.953 | | 1 | 1.1609 | 1.3836 | 1.7120 | 2.2448 | 3.2589 | 5.9445 | 33.791 |


Dependencies

This project requires:

  • Python 3
  • NumPy
  • SciPy

Install using pip:

```bash pip install numpy scipy

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