General Information
As of February 8, 2024
r/EGSnrc
EGSnrc
en
EGSnrc is an internationally recognized gold-standard software toolkit for radiation transport modelling. EGSnrc models the propagation of photons, electrons and positrons with kinetic energies between 1 keV and 10 GeV, through arbitrary materials and complex geometries. This community serves as a support network for EGSnrc users. Please feel free to ask questions and share your expertise with others. See the Resources section below for installation instructions, guides and more!
EGSnrc is a Monte Carlo simulation toolkit to model the propagation of photons, electrons and positrons with kinetic energies between 1 keV and 10 GeV, through arbitrary materials. EGSnrc is an overhaul of the original EGS code developed at SLAC in the 1970s. It features accurate charged particle tr...
702
December 11, 2018
public
all_ads
Total Submissions
1,293
Total Comments
5,407
Earliest Submission
December 11, 2018
Earliest Comment
December 11, 2018
Metrics
Activity Over Time
Submission Flags
Comment Flags
Submission Score Distribution
Comment Score Distribution
Title Length
Submission Text Length
Comments per Submission
Most Distinctive Words
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 374 | 34,806 | 10878.1 | 0.3 | 37480.70 | |
| #2 | 43 | 15,149 | 1250.7 | 0.1 | 9900.90 | |
| #3 | 70 | 34,552 | 2036.0 | 0.3 | 7066.67 | |
| #4 | 177 | 433,422 | 5148.2 | 3.6 | 1424.47 | |
| #5 | 31 | 123,861 | 901.7 | 1.0 | 873.01 | |
| #6 | 38 | 172,164 | 1105.3 | 1.4 | 769.89 | |
| #7 | 124 | 635,379 | 3606.6 | 5.3 | 680.74 | |
| #8 | 33 | 193,823 | 959.8 | 1.6 | 593.88 | |
| #9 | 58 | 361,227 | 1687.0 | 3.0 | 560.06 | |
| #10 | 32 | 281,285 | 930.7 | 2.3 | 396.82 | |
| #11 | 36 | 331,498 | 1047.1 | 2.8 | 378.80 | |
| #12 | 31 | 335,812 | 901.7 | 2.8 | 322.00 | |
| #13 | 33 | 433,793 | 959.8 | 3.6 | 265.35 | |
| #14 | 66 | 942,740 | 1919.7 | 7.9 | 244.20 | |
| #15 | 65 | 944,185 | 1890.6 | 7.9 | 240.13 | |
| #16 | 50 | 963,199 | 1454.3 | 8.0 | 181.07 | |
| #17 | 55 | 1,160,992 | 1599.7 | 9.7 | 165.24 | |
| #18 | 32 | 701,905 | 930.7 | 5.9 | 159.02 | |
| #19 | 334 | 7,750,568 | 9714.7 | 64.6 | 150.32 | |
| #20 | 51 | 1,494,857 | 1483.4 | 12.5 | 119.00 | |
| #21 | 33 | 969,175 | 959.8 | 8.1 | 118.77 | |
| #22 | 42 | 1,388,156 | 1221.6 | 11.6 | 105.54 | |
| #23 | 123 | 4,178,975 | 3577.6 | 34.8 | 102.67 | |
| #24 | 36 | 1,284,018 | 1047.1 | 10.7 | 97.80 | |
| #25 | 92 | 3,376,764 | 2675.9 | 28.2 | 95.03 | |
| #26 | 56 | 2,070,995 | 1628.8 | 17.3 | 94.32 | |
| #27 | 42 | 1,594,681 | 1221.6 | 13.3 | 91.87 | |
| #28 | 34 | 1,357,720 | 988.9 | 11.3 | 87.35 | |
| #29 | 84 | 3,573,754 | 2443.2 | 29.8 | 81.99 | |
| #30 | 85 | 3,710,915 | 2472.3 | 30.9 | 79.90 | |
| #31 | 44 | 2,155,212 | 1279.8 | 18.0 | 71.21 | |
| #32 | 808 | 41,277,164 | 23501.4 | 344.2 | 68.28 | |
| #33 | 35 | 1,811,153 | 1018.0 | 15.1 | 67.41 | |
| #34 | 32 | 1,665,090 | 930.7 | 13.9 | 67.04 | |
| #35 | 60 | 3,231,369 | 1745.1 | 26.9 | 64.77 | |
| #36 | 76 | 4,380,738 | 2210.5 | 36.5 | 60.51 | |
| #37 | 125 | 7,549,456 | 3635.7 | 63.0 | 57.75 | |
| #38 | 34 | 2,167,894 | 988.9 | 18.1 | 54.71 | |
| #39 | 30 | 2,024,778 | 872.6 | 16.9 | 51.68 | |
| #40 | 36 | 2,850,150 | 1047.1 | 23.8 | 44.06 | |
| #41 | 48 | 3,996,478 | 1396.1 | 33.3 | 41.89 | |
| #42 | 30 | 2,510,927 | 872.6 | 20.9 | 41.68 | |
| #43 | 47 | 4,126,005 | 1367.0 | 34.4 | 39.73 | |
| #44 | 30 | 2,688,553 | 872.6 | 22.4 | 38.92 | |
| #45 | 33 | 3,497,597 | 959.8 | 29.2 | 32.91 | |
| #46 | 229 | 25,600,257 | 6660.7 | 213.5 | 31.20 | |
| #47 | 46 | 5,171,089 | 1337.9 | 43.1 | 31.03 | |
| #48 | 30 | 3,750,862 | 872.6 | 31.3 | 27.90 | |
| #49 | 61 | 11,855,276 | 1774.2 | 98.9 | 17.95 | |
| #50 | 42 | 9,035,492 | 1221.6 | 75.3 | 16.21 |