a:{"metadata":[["$","title","0",{"children":"習作ゆらゆら"}],["$","meta","1",{"name":"description","content":"These particles are most likely to fly away to the upper side of the screen.\nI didn't implement this behavior intentionally, but after observed it, I found out why.\n\nThe secret is in [these lines](https://github.com/kissge/etude-processing/blob/9850043501b168ace53d070ee427ca2be72e5ecd/sketch_201118a_stars/sketch_201118a_stars.pde#L53-L55):\n\n```java\nfloat th = noise(x / 1000, y / 1000, t) * 10;\nx += cos(th) * t * 2;\ny += sin(th) * t * 2;\n```\n\nHere, the function `noise` returns value within 0.0 through 1.0, hence the variable `th` ranges from 0.0 through 10.0.\nSince `sin` and `cos` take the degree parameters in radians, the range corresponds to 0° through about 572.96°.\n\n(I believe) The `noise` function's return values are uniformly distributed.\nTherefore, the probability each particle moves upward (⇔ 0° < `th` < 180° or 360° < `th` < 540°) is roughly twice as higher as the probability of the opposite.\n"}],["$","meta","2",{"property":"og:title","content":"習作ゆらゆら"}],["$","meta","3",{"property":"og:description","content":"These particles are most likely to fly away to the upper side of the screen.\nI didn't implement this behavior intentionally, but after observed it, I found out why.\n\nThe secret is in [these lines](https://github.com/kissge/etude-processing/blob/9850043501b168ace53d070ee427ca2be72e5ecd/sketch_201118a_stars/sketch_201118a_stars.pde#L53-L55):\n\n```java\nfloat th = noise(x / 1000, y / 1000, t) * 10;\nx += cos(th) * t * 2;\ny += sin(th) * t * 2;\n```\n\nHere, the function `noise` returns value within 0.0 through 1.0, hence the variable `th` ranges from 0.0 through 10.0.\nSince `sin` and `cos` take the degree parameters in radians, the range corresponds to 0° through about 572.96°.\n\n(I believe) The `noise` function's return values are uniformly distributed.\nTherefore, the probability each particle moves upward (⇔ 0° < `th` < 180° or 360° < `th` < 540°) is roughly twice as higher as the probability of the opposite.\n"}],["$","meta","4",{"property":"og:image","content":"https://neort.io/img/ogp.jpg"}],["$","meta","5",{"property":"og:type","content":"website"}],["$","meta","6",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","7",{"name":"twitter:title","content":"習作ゆらゆら"}],["$","meta","8",{"name":"twitter:description","content":"These particles are most likely to fly away to the upper side of the screen.\nI didn't implement this behavior intentionally, but after observed it, I found out why.\n\nThe secret is in [these lines](https://github.com/kissge/etude-processing/blob/9850043501b168ace53d070ee427ca2be72e5ecd/sketch_201118a_stars/sketch_201118a_stars.pde#L53-L55):\n\n```java\nfloat th = noise(x / 1000, y / 1000, t) * 10;\nx += cos(th) * t * 2;\ny += sin(th) * t * 2;\n```\n\nHere, the function `noise` returns value within 0.0 through 1.0, hence the variable `th` ranges from 0.0 through 10.0.\nSince `sin` and `cos` take the degree parameters in radians, the range corresponds to 0° through about 572.96°.\n\n(I believe) The `noise` function's return values are uniformly distributed.\nTherefore, the probability each particle moves upward (⇔ 0° < `th` < 180° or 360° < `th` < 540°) is roughly twice as higher as the probability of the opposite.\n"}],["$","meta","9",{"name":"twitter:image","content":"https://neort.io/img/ogp.jpg"}],["$","link","10",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}]],"error":null,"digest":"$undefined"}

習作 ゆらゆら

習作ゆらゆら