{"id":59,"date":"2025-06-07T06:01:53","date_gmt":"2025-06-06T21:01:53","guid":{"rendered":"https:\/\/shodou-lab.com\/?p=59"},"modified":"2025-06-10T02:27:40","modified_gmt":"2025-06-09T17:27:40","slug":"%e3%83%8b%e3%83%a5%e3%83%bc%e3%83%88%e3%83%aa%e3%83%8e%e8%b5%b7%e6%ba%90%e3%81%ae%e6%83%85%e5%a0%b1%e5%81%8f%e5%80%9a%e3%81%ab%e5%9f%ba%e3%81%a5%e3%81%8f%e5%ae%87%e5%ae%99%e5%89%b5%e6%88%90%e3%83%a2","status":"publish","type":"post","link":"https:\/\/shodou-lab.com\/?p=59","title":{"rendered":"\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u8d77\u6e90\u306e\u60c5\u5831\u504f\u501a\u306b\u57fa\u3065\u304f\u5b87\u5b99\u5275\u6210\u30e2\u30c7\u30eb"},"content":{"rendered":"\n

\u301c\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u304b\u3089\u610f\u8b58\u767a\u751f\u53ef\u80fd\u74b0\u5883\u307e\u3067\u306e\u7406\u8ad6\u7684\u691c\u8a0e\u301c<\/strong> <\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u3067\u306f\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u306b\u8d77\u56e0\u3059\u308b\u60c5\u5831\u504f\u501a\u304c\u3001\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u6027\u3001\u661f\u5f62\u6210\u69cb\u9020\u3001\u3055\u3089\u306b\u306f\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u60c5\u5831\u74b0\u5883\u3078\u3068\u81f3\u308b\u9023\u7d9a\u7684\u9032\u5316\u3092\u99c6\u52d5\u3057\u305f\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u3001\u7406\u8ad6\u7684\u691c\u8a0e\u3092\u884c\u3063\u305f\u3002T2K\u5b9f\u9a13\u306e\u632f\u52d5\u78ba\u7387\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304d\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u306e\u60c5\u5831\u504f\u501a\u91cf\u3092\u7b97\u51fa\u3057\u3001\u3053\u308c\u3092\u521d\u671f\u5b87\u5b99\u306e\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u3068\u3057\u3066\u8a2d\u5b9a\u3057\u305f\u3002\u504f\u501a\u5834\u306e\u5c40\u6240\u7684\u6b6a\u307f\u304c\u30d0\u30ea\u30aa\u30f3\u5bc6\u5ea6\u306e\u4e0d\u5747\u4e00\u6027\u3092\u751f\u307f\u3001\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5f62\u6210\u3092\u7d4c\u3066\u661f\u5f62\u6210\u9818\u57df\u3092\u5c0e\u51fa\u3059\u308b\u904e\u7a0b\u3092\u6570\u5024\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3057\u305f\u3002\u3055\u3089\u306b\u3001\u60c5\u5831\u504f\u501a\u306e\u9ad8\u3044\u9818\u57df\u3092\u3001\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u60c5\u5831\u5bc6\u5ea6\u306e\u840c\u82bd\u74b0\u5883\u3068\u3057\u3066\u62bd\u51fa\u3057\u305f\u3002\u672c\u30e2\u30c7\u30eb\u306f\u3001\u5b87\u5b99\u3068\u610f\u8b58\u306e\u9023\u7d9a\u7684\u751f\u6210\u53ef\u80fd\u6027\u3092\u81ea\u7136\u306b\u8aac\u660e\u3059\u308b\u65b0\u305f\u306a\u8996\u5ea7\u3092\u63d0\u4f9b\u3057\u3001\u5c06\u6765\u306e\u9ad8\u7cbe\u5ea6\u89b3\u6e2c\u306b\u3088\u308b\u691c\u8a3c\u53ef\u80fd\u6027\u3092\u6307\u6458\u3059\u308b\u3002<\/p>\n\n\n\n

\u7b2c<\/strong>1<\/strong>\u7ae0\u3000\u306f\u3058\u3081\u306b\uff08<\/strong>Introduction<\/strong>\uff09<\/strong><\/strong><\/p>\n\n\n\n

\u3000\u5b87\u5b99\u5275\u6210\u306b\u304a\u3051\u308b\u7269\u8cea\u3068\u53cd\u7269\u8cea\u306e\u4e0d\u5747\u8861\u3001\u3044\u308f\u3086\u308b\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u6027\uff08baryon asymmetry\uff09\u306f\u3001\u73fe\u4ee3\u5b87\u5b99\u8ad6\u306b\u304a\u3051\u308b\u6839\u6e90\u7684\u554f\u984c\u306e\u4e00\u3064\u3067\u3042\u308b\u3002\u5f93\u6765\u3001\u3053\u306e\u975e\u5bfe\u79f0\u6027\u306f\u3001\u6a19\u6e96\u7684\u306a\u30d0\u30ea\u30aa\u30b8\u30a7\u30cd\u30b7\u30b9\u7406\u8ad6\u30102\u3011\u3084\u30ec\u30d7\u30c8\u30b8\u30a7\u30cd\u30b7\u30b9\u7406\u8ad6\u30103\u3011\u306b\u3088\u3063\u3066\u8aac\u660e\u304c\u8a66\u307f\u3089\u308c\u3066\u304d\u305f\u3002\u3053\u308c\u3089\u306e\u7406\u8ad6\u306f\u3001\u96fb\u5f31\u76f8\u8ee2\u79fb\u3084\u91cd\u3044\u53f3\u624b\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u306e\u5d29\u58ca\u306a\u3069\u3001\u65b0\u305f\u306a\u7269\u7406\u904e\u7a0b\u3092\u4eee\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\u73fe\u5728\u3082\u306a\u304a\u76f4\u63a5\u7684\u306a\u5b9f\u9a13\u7684\u691c\u8a3c\u306b\u306f\u81f3\u3063\u3066\u3044\u306a\u3044\u3002<\/p>\n\n\n\n

\u3000\u4e00\u65b9\u3001\u8fd1\u5e74\u306e\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u5b9f\u9a13\u3001\u7279\u306bT2K\u5b9f\u9a13\u30101\u3011\u306b\u304a\u3051\u308b\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u3068\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u78ba\u7387\u306e\u5dee\u7570\u89b3\u6e2c\u306f\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3044\u3066\u30ec\u30d7\u30c8\u30f3\u6570\u4fdd\u5b58\u5247\u304c\u7834\u308c\u3066\u3044\u305f\u53ef\u80fd\u6027\u3092\u793a\u5506\u3057\u3066\u3044\u308b\u3002\u3053\u306e\u89b3\u6e2c\u4e8b\u5b9f\u306f\u3001\u5f93\u6765\u306e\u8cea\u91cf\u751f\u6210\u3084\u30d0\u30ea\u30aa\u30f3\u751f\u6210\u306e\u67a0\u7d44\u307f\u3092\u8d8a\u3048\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u60c5\u5831\u504f\u501a\uff08information skew\uff09\u3068\u3044\u3046\u65b0\u305f\u306a\u8996\u70b9\u3092\u63d0\u4f9b\u3057\u3046\u308b\u3002<\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u306b\u7531\u6765\u3059\u308b\u5fae\u7d30\u306a\u60c5\u5831\u504f\u501a\u304c\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u306e\u4e0d\u5747\u4e00\u6027\u3092\u751f\u307f\u51fa\u3057\u3001\u3055\u3089\u306b\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u69cb\u9020\u3092\u901a\u3058\u3066\u661f\u5f62\u6210\u9818\u57df\u3092\u8a98\u5c0e\u3057\u3001\u6700\u7d42\u7684\u306b\u306f\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u9ad8\u60c5\u5831\u9818\u57df<\/strong>\u3092\u5f62\u6210\u3057\u305f\u3001\u3068\u3044\u3046\u4eee\u8aac\u3092\u63d0\u6848\u3059\u308b\u3002<\/p>\n\n\n\n

\u3000\u5f93\u6765\u306e\u5b87\u5b99\u8ad6\u30e2\u30c7\u30eb\u3067\u306f\u3001\u7269\u8cea\u69cb\u9020\u5f62\u6210\u3068\u610f\u8b58\u767a\u751f\u904e\u7a0b\u306f\u5225\u500b\u306b\u8ad6\u3058\u3089\u308c\u3066\u304d\u305f\u3002\u3057\u304b\u3057\u3001\u60c5\u5831\u504f\u501a\u3092\u6839\u6e90\u3068\u3059\u308b\u3053\u306e\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u306f\u3001\u5b87\u5b99\u306e\u69cb\u9020\u9032\u5316\u3068\u610f\u8b58\u306e\u840c\u82bd\u304c\u9023\u7d9a\u7684\u306a\u60c5\u5831\u9032\u5316\u306e\u904e\u7a0b\u3068\u3057\u3066\u6349\u3048\u3089\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u3053\u306e\u4eee\u8aac\u306f\u3001\u7d71\u5408\u60c5\u5831\u7406\u8ad6\uff08IIT\uff09\u30106\u3011\u3084\u60c5\u5831\u5b87\u5b99\u8ad6\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u30107\u3011\u3068\u3082\u89aa\u548c\u6027\u3092\u6301\u3064\u3002<\/p>\n\n\n\n

\u3000\u672c\u7a3f\u3067\u306f\u3001\u307e\u305aT2K\u5b9f\u9a13\u30c7\u30fc\u30bf\u304b\u3089\u60c5\u5831\u504f\u501a\u91cf\u3092\u62bd\u51fa\u3057\u3001\u4e09\u6b21\u5143\u7a7a\u9593\u4e0a\u306b\u521d\u671f\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u3092\u8a2d\u5b9a\u3059\u308b\u3002\u6b21\u306b\u3001\u3053\u306e\u60c5\u5831\u504f\u501a\u5834\u306b\u57fa\u3065\u3044\u3066\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5206\u5e03 B(x,y,z) \u3092\u69cb\u7bc9\u3057\u3001\u3053\u308c\u306b\u5bfe\u5fdc\u3059\u308b\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u3092\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u7528\u3044\u3066\u53b3\u5bc6\u306b\u5c0e\u51fa\u3059\u308b\u3002\u3055\u3089\u306b\u3001\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u69cb\u9020\u304b\u3089\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3092\u540c\u5b9a\u3057\u3001\u60c5\u5831\u5bc6\u5ea6\u306e\u9ad8\u3044\u9818\u57df\u3092\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3068\u3057\u3066\u62bd\u51fa\u3059\u308b\u3002\u6700\u5f8c\u306b\u3001\u62e1\u6563\u3068\u5c40\u6240\u53ce\u7e2e\u3092\u542b\u3080\u6642\u9593\u767a\u5c55\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u901a\u3058\u3066\u3001\u60c5\u5831\u504f\u501a\u5834\u306e\u9032\u5316\u904e\u7a0b\u3068\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9818\u57df\u306e\u81ea\u5df1\u7d44\u7e54\u5316\u904e\u7a0b\u3092\u53ef\u8996\u5316\u3059\u308b\u3002<\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u306f\u3001\u60c5\u5831\u504f\u501a\u306b\u57fa\u3065\u304f\u5b87\u5b99\u3068\u610f\u8b58\u306e\u9023\u7d9a\u9032\u5316\u30e2\u30c7\u30eb\u3068\u3044\u3046\u65b0\u305f\u306a\u8996\u5ea7\u3092\u63d0\u793a\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u5c06\u6765\u7684\u306a\u9ad8\u7cbe\u5ea6\u89b3\u6e2c\u306b\u3088\u308b\u691c\u8a3c\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u3082\u8b70\u8ad6\u3059\u308b\u3002<\/p>\n\n\n\n

\u7b2c2<\/strong>\u7ae0\u3000\u7406\u8ad6\u67a0\u7d44\u307f\uff08<\/strong>Theoretical Framework<\/strong>\uff09<\/strong><\/p>\n\n\n\n

2.1 <\/strong>\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u7531\u6765\u306e\u60c5\u5831\u504f\u501a<\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u3067\u306f\u3001T2K\u5b9f\u9a13\u30101\u3011\u306b\u304a\u3044\u3066\u89b3\u6e2c\u3055\u308c\u305f\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u3068\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u306e\u632f\u52d5\u78ba\u7387\u306e\u5dee\u7570\u306b\u57fa\u3065\u304d\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u60c5\u5831\u504f\u501a\uff08Information Skew\uff09\u3092\u5b9a\u7fa9\u3059\u308b\u3002\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u30e2\u30fc\u30c9\u306b\u304a\u3051\u308b\u632f\u52d5\u78ba\u7387 \u3068\u3001\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u30e2\u30fc\u30c9\u306b\u304a\u3051\u308b\u632f\u52d5\u78ba\u7387 \u3092\u7528\u3044\u3066\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u306e\u60c5\u5831\u504f\u501a\u91cf S(E) \u3092\u6b21\u5f0f\u3067\u5b9a\u7fa9\u3059\u308b\u3002<\/p>\n\n\n\n

\"\"
Screenshot<\/figcaption><\/figure>\n\n\n\n

2.2 <\/strong>\u521d\u671f\u60c5\u5831\u504f\u501a\u5834<\/strong> <\/strong>S(x,y,z) <\/strong>\u306e\u8a2d\u5b9a<\/strong><\/p>\n\n\n\n

\u3000\u521d\u671f\u5b87\u5b99\u306e\u4e09\u6b21\u5143\u7a7a\u9593\u4e0a\u306b\u304a\u3051\u308b\u60c5\u5831\u504f\u501a\u5206\u5e03\u306f\u3001\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u3068\u3057\u3066\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3002\u3053\u306e\u5834\u306f\u3001\u4ee5\u4e0b\u306e\u6761\u4ef6\u3092\u6e80\u305f\u3059\u4e71\u6570\u5834\u3068\u3057\u3066\u751f\u6210\u3055\u308c\u308b\u3002<\/p>\n\n\n\n

\u2022\u5e73\u5747\u5024\u30bc\u30ed\uff08<\/p>\n\n\n\n

\u2022\u6a19\u6e96\u504f\u5dee \u3092\u3082\u3064\u30ac\u30a6\u30b9\u5206\u5e03<\/p>\n\n\n\n

\u2022\u7a7a\u9593\u7684\u306b\u306f\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u306b\u5408\u308f\u305b\u305f\u632f\u5e45\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3092\u5c0e\u5165\u3059\u308b\uff08\u5f8c\u8ff0\uff09<\/p>\n\n\n\n

\u6570\u5b66\u7684\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u8a18\u8ff0\u3067\u304d\u308b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u3053\u3067\u306f\u5e73\u57470\u3001\u6a19\u6e96\u504f\u5dee\u306e\u30ac\u30a6\u30b9\u4e71\u6570\u751f\u6210\u3092\u793a\u3059\u3002\u5c06\u6765\u7684\u306a\u62e1\u5f35\u3068\u3057\u3066\u3001\u7a7a\u9593\u7684\u30b3\u30ea\u30ec\u30fc\u30b7\u30e7\u30f3\u95a2\u6570\u3092\u6301\u3064\u4e71\u6570\u5834\uff08\u4f8b\uff1a\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\u306b\u5f93\u3046\u5834\uff09\u3078\u306e\u767a\u5c55\u3082\u691c\u8a0e\u3059\u308b\u3002<\/p>\n\n\n\n

2.3 <\/strong>\u30d0\u30ea\u30aa\u30f3\u6570\u512a\u52e2\u9818\u57df<\/strong> <\/strong>B(x,y,z) <\/strong>\u306e\u751f\u6210<\/strong><\/p>\n\n\n\n

\u3000\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u306b\u304a\u3044\u3066\u3001\u6b63\u306e\u504f\u501a\u304c\u751f\u3058\u305f\u9818\u57df\u306f\u30d0\u30ea\u30aa\u30f3\u6570\u304c\u7269\u8cea\u512a\u52e2\u3067\u3042\u308b\u3068\u4eee\u5b9a\u3057\u3001\u8ca0\u306e\u504f\u501a\u9818\u57df\u306f\u53cd\u7269\u8cea\u512a\u52e2\u3067\u3042\u308b\u305f\u3081\u30ab\u30c3\u30c8\u30aa\u30d5\u3059\u308b\u3002\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x,y,z) \u306f\u6b21\u5f0f\u306b\u3088\u308a\u5b9a\u7fa9\u3059\u308b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u308c\u306b\u3088\u308a\u3001\u6b63\u306e\u60c5\u5831\u504f\u501a\u306e\u307f\u304c\u30d0\u30ea\u30aa\u30f3\u6570\u306e\u6b63\u306e\u63fa\u3089\u304e\u3092\u751f\u307f\u3001\u8ca0\u306e\u9818\u57df\u306f\u7121\u8996\u3055\u308c\u308b\u3002<\/p>\n\n\n\n

2.4 <\/strong>\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u306e\u5c0e\u51fa\uff08\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\uff09<\/strong><\/p>\n\n\n\n

\u3000\u7269\u8cea\u5206\u5e03 B(x,y,z)\u306b\u5bfe\u5fdc\u3059\u308b\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306f\u3001\u4ee5\u4e0b\u306e\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u6e80\u305f\u3059\u3068\u3059\u308b\uff1a<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u3053\u3067<\/p>\n\n\n\n

              \u2022\uff1a\u30e9\u30d7\u30e9\u30b7\u30a2\u30f3\u6f14\u7b97\u5b50<\/p>\n\n\n\n

              \u2022G\uff1a\u91cd\u529b\u5b9a\u6570<\/p>\n\n\n\n

              \u2022\uff1a\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u306e\u7a7a\u9593\u5e73\u5747<\/p>\n\n\n\n

\u5bc6\u5ea6\u306e\u80cc\u666f\u6210\u5206\u3092\u9664\u53bb\u3057\u3001\u63fa\u3089\u304e\u6210\u5206\u306e\u307f\u304c\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5f62\u6210\u306b\u5bc4\u4e0e\u3059\u308b\u3002\u672c\u7814\u7a76\u3067\u306f\u3001\u3053\u306e\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u30d5\u30fc\u30ea\u30a8\u7a7a\u9593\u3067\u89e3\u304f\u624b\u6cd5\u3092\u63a1\u7528\u3059\u308b\u3002<\/p>\n\n\n\n

\u4e09\u6b21\u5143\u9ad8\u901f\u30d5\u30fc\u30ea\u30a8\u5909\u63db\uff083D-FFT\uff09\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3001\u6b21\u306e\u624b\u9806\u3067\u8a08\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n

1.B(x,y,z)-<B>\u3092\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3057\u3066\u03b4p(k)<\/p>\n\n\n\n

2.\u30d5\u30fc\u30ea\u30a8\u7a7a\u9593\u3067\u6b21\u5f0f\u306b\u3088\u308a\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u6c42\u3081\u308b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\uff08\u305f\u3060\u3057\u306e\u30e2\u30fc\u30c9\u3067\u306f k^2 \u306e\u767a\u6563\u3092\u9632\u3050\u305f\u3081\u3001\u9069\u5207\u306a\u5c0f\u5024\u3092\u4ee3\u5165\u3059\u308b\uff09<\/p>\n\n\n\n

3.\u5f97\u3089\u308c\u305f\u3092\u9006\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3057\u3001\u5b9f\u7a7a\u9593\u306b\u623b\u3059\u3053\u3068\u3067\u3092\u5f97\u308b\u3002\u3053\u306e\u65b9\u6cd5\u306b\u3088\u308a\u3001\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u3092\u53b3\u5bc6\u306b\u3001\u304b\u3064\u6570\u5024\u7684\u306b\u52b9\u7387\u3088\u304f\u518d\u73fe\u3067\u304d\u308b\u3002<\/p>\n\n\n\n

\u7b2c3<\/strong>\u7ae0\u3000\u65b9\u6cd5\uff08<\/strong>Methodology<\/strong>\uff09<\/strong><\/p>\n\n\n\n

3.1 <\/strong>\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u30c7\u30fc\u30bf\u306e\u53d6\u5f97\u3068\u60c5\u5831\u504f\u501a\u91cf\u306e\u62bd\u51fa<\/strong><\/p>\n\n\n\n

T2K\u5b9f\u9a13\u30101\u3011\u306b\u3088\u308a\u516c\u8868\u3055\u308c\u305f\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u304a\u3088\u3073\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u30e2\u30fc\u30c9\u306b\u304a\u3051\u308b\u632f\u52d5\u78ba\u7387\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u305f\u3002\u5bfe\u8c61\u3068\u3057\u305f\u30a8\u30cd\u30eb\u30ae\u30fc\u7bc4\u56f2\u306f0.2 GeV\u304b\u30892.0 GeV\u3067\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u70b9\u306b\u304a\u3051\u308b\u632f\u52d5\u78ba\u7387\u5dee\u7570\u3092\u3082\u3068\u306b\u60c5\u5831\u504f\u501a\u91cfS(E)\u3092\u5b9a\u7fa9\u3057\u305f\u3002\u60c5\u5831\u504f\u501a\u91cf\u306e\u8a08\u7b97\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u305f\uff08\u88681\u306b\u793a\u3059\uff09\u3002<\/p>\n\n\n\n

\u3010\u88681\u3011T2K\u5b9f\u9a13\u306b\u57fa\u3065\u304f\u632f\u52d5\u78ba\u7387\u30c7\u30fc\u30bf\u3068\u60c5\u5831\u504f\u501a\u91cf<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"
Screenshot<\/figcaption><\/figure>\n\n\n\n

\u60c5\u5831\u504f\u501a\u91cf\u306f\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u6027\u3092\u6301\u3064\u305f\u3081\u3001\u5f8c\u8ff0\u3059\u308b\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u306e\u632f\u5e45\u30b9\u30b1\u30fc\u30eb\u8a2d\u5b9a\u306b\u53cd\u6620\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

3.2 <\/strong>\u521d\u671f\u60c5\u5831\u504f\u501a\u5834<\/strong> <\/strong>S(x,y,z) <\/strong>\u306e\u751f\u6210<\/strong><\/p>\n\n\n\n

\u4e09\u6b21\u5143\u76f4\u4ea4\u30b0\u30ea\u30c3\u30c9\u4e0a\u306b\u304a\u3044\u3066\u3001\u521d\u671f\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u3092\u6b21\u306e\u6761\u4ef6\u3067\u751f\u6210\u3057\u305f\u3002<\/p>\n\n\n\n

              \u2022\u30b0\u30ea\u30c3\u30c9\u30b5\u30a4\u30ba\uff1a100^3\u30bb\u30eb<\/p>\n\n\n\n

              \u2022\u9818\u57df\u9577\u3055\uff1a\u898f\u683c\u5316\u5358\u4f4d\u7cfb\u306b\u3066 [-1,1] \u533a\u9593<\/p>\n\n\n\n

              \u2022\u751f\u6210\u65b9\u6cd5\uff1a\u30ac\u30a6\u30b9\u4e71\u6570\uff08\u5e73\u57470\u3001\u6a19\u6e96\u504f\u5dee\uff09<\/p>\n\n\n\n

              \u2022\u518d\u73fe\u6027\u78ba\u4fdd\u306e\u305f\u3081\u4e71\u6570\u7a2e\u3092\u56fa\u5b9a\uff08\u4f8b\uff1a42\uff09<\/p>\n\n\n\n

\u3053\u306e\u521d\u671f\u5834\u306f\u3001\u5c40\u6240\u7684\u306b\u6b63\u8ca0\u306e\u60c5\u5831\u504f\u501a\u3092\u6301\u3064\u69cb\u9020\u3092\u5f62\u6210\u3057\u305f\u3002\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u6027\uff08S(E)\uff09\u306f\u3001\u6e29\u5ea6\u30b9\u30b1\u30fc\u30eb\u5909\u63db\u3092\u901a\u3058\u3066\u5834\u306e\u632f\u5e45\u306b\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u30d5\u30a1\u30af\u30bf\u30fc\u3068\u3057\u3066\u53cd\u6620\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

3.3 <\/strong>\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834<\/strong> <\/strong>B(x,y,z) <\/strong>\u306e\u69cb\u7bc9<\/strong><\/p>\n\n\n\n

\u60c5\u5831\u504f\u501a\u5834\u304b\u3089\u3001\u6b63\u306e\u504f\u501a\u9818\u57df\u306e\u307f\u3092\u62bd\u51fa\u3057\u3001\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x,y,z) \u3092\u6b21\u5f0f\u3067\u5b9a\u7fa9\u3057\u305f.<\/p>\n\n\n\n

B(x,y,z)=max(S(x,y,z),0)<\/p>\n\n\n\n

\u3053\u308c\u306b\u3088\u308a\u3001\u7269\u8cea\u512a\u52e2\u9818\u57df\u306e\u307f\u304c\u30d0\u30ea\u30aa\u30f3\u5bc6\u5ea6\u63fa\u3089\u304e\u3068\u3057\u3066\u6271\u308f\u308c\u3001\u53cd\u7269\u8cea\u512a\u52e2\u9818\u57df\u306f\u7121\u8996\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

3.4 <\/strong>\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u306e\u5c0e\u51fa\uff08\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u306b\u3088\u308b\u53b3\u5bc6\u8a08\u7b97\uff09<\/strong><\/p>\n\n\n\n

\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834\u306b\u57fa\u3065\u304f\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u306f\u3001\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u30923\u6b21\u5143\u30d5\u30fc\u30ea\u30a8\u7a7a\u9593\u3067\u89e3\u304f\u3053\u3068\u3067\u5f97\u305f\u3002\u5177\u4f53\u7684\u306a\u6570\u5024\u8a08\u7b97\u624b\u9806\u306f\u4ee5\u4e0b\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

 \u2022\u30d0\u30ea\u30aa\u30f3\u6570\u504f\u5dee\u3092\u5b9a\u7fa9<\/p>\n\n\n\n

\u20223D-FFT\u306b\u3088\u308a\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3057\u3066\u3092\u53d6\u5f97<\/p>\n\n\n\n

\u2022\u5404\u6ce2\u6570\u30d9\u30af\u30c8\u30eb\u306b\u5bfe\u3057\u3066\u3001\u6b21\u5f0f\u306b\u3088\u308a\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u8a08\u7b97<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\uff08\u305f\u3060\u3057\u6210\u5206\u306b\u5bfe\u3057\u3066\u306f\u5c0f\u3055\u306a\u6570\u5024\u3067\u6b63\u5247\u5316\uff09<\/p>\n\n\n\n

\u2022\u5f97\u3089\u308c\u305f\u3092\u9006\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3057\u3066\u3001\u5b9f\u7a7a\u9593\u306e\u3092\u5fa9\u5143Python\u5b9f\u88c5\u306b\u306fNumPy\u304a\u3088\u3073SciPy\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u7528\u3044\u305f\u3002<\/p>\n\n\n\n

3.5 <\/strong>\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3068\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9818\u57df\u306e\u62bd\u51fa<\/strong><\/p>\n\n\n\n

\u5c0e\u51fa\u3055\u308c\u305f\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u306b\u5bfe\u3057\u3066\u3001\u4ee5\u4e0b\u306e\u57fa\u6e96\u3067\u9818\u57df\u62bd\u51fa\u3092\u884c\u3063\u305f\u3002<\/p>\n\n\n\n

\u2022\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e5\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u4ee5\u4e0b\u306e\u9818\u57df\u3092\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df<\/strong>\u3068\u5b9a\u7fa9<\/p>\n\n\n\n

\u2022\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u5185\u3067\u3001\u60c5\u5831\u504f\u501a\u91cf S(x,y,z) \u304c\u9ad8\u3044\u9818\u57df\u3092\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9818\u57df<\/strong>\u3068\u3057\u305f<\/p>\n\n\n\n

\u3053\u308c\u306b\u3088\u308a\u3001\u5358\u306a\u308b\u91cd\u529b\u96c6\u7a4d\u3060\u3051\u3067\u306a\u304f\u3001\u60c5\u5831\u504f\u501a\u304c\u9ad8\u5bc6\u5ea6\u5316\u3057\u3066\u3044\u308b\u9818\u57df\u3092\u7279\u5b9a\u3057\u305f\u3002<\/p>\n\n\n\n

3.6 <\/strong>\u60c5\u5831\u504f\u501a\u5834\u306e\u6642\u9593\u767a\u5c55\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/strong><\/p>\n\n\n\n

\u60c5\u5831\u504f\u501a\u5834\u306e\u9032\u5316\u306f\u3001\u62e1\u6563\u9805\u3068\u5c40\u6240\u53ce\u7e2e\u9805\u3092\u542b\u3080\u6b21\u306e\u65b9\u7a0b\u5f0f\u306b\u3088\u308a\u30e2\u30c7\u30eb\u5316\u3057\u305f\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u3053\u3067<\/p>\n\n\n\n

              \u2022D\uff1a\u62e1\u6563\u4fc2\u6570<\/p>\n\n\n\n

              \u2022\uff1a\u5c40\u6240\u53ce\u7e2e\u4fc2\u6570\uff08\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3067\u306f\u5f37\u5316\uff09<\/p>\n\n\n\n

\u6570\u5024\u7a4d\u5206\u306b\u306fEuler\u6cd5\u3092\u7528\u3044\u3001\u6642\u9593\u30b9\u30c6\u30c3\u30d7\u6570\u306f100\u3068\u3057\u305f\u3002\u62e1\u6563\u306b\u3088\u308b\u5e83\u304c\u308a\u3068\u81ea\u5df1\u91cd\u529b\u7684\u53ce\u7e2e\u306e\u7af6\u5408\u306b\u3088\u308a\u3001\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u304b\u3089\u968e\u5c64\u69cb\u9020\u304c\u767a\u5c55\u3059\u308b\u904e\u7a0b\u3092\u53ef\u8996\u5316\u3057\u305f\u3002<\/p>\n\n\n\n

\u7b2c<\/strong>4<\/strong>\u7ae0\u3000\u7d50\u679c\uff08<\/strong>Results<\/strong>\uff09<\/strong><\/strong><\/p>\n\n\n\n

4.1 <\/strong>\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u60c5\u5831\u504f\u501a\u91cf<\/strong><\/p>\n\n\n\n

T2K\u5b9f\u9a13\u30101\u3011\u306e\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304d\u3001\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u3068\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u30e2\u30fc\u30c9\u306b\u304a\u3051\u308b\u632f\u52d5\u78ba\u7387\u5dee\u7570\u304b\u3089\u60c5\u5831\u504f\u501a\u91cf S(E) \u3092\u7b97\u51fa\u3057\u305f\u3002<\/p>\n\n\n\n

\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u6027\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u305f\u7d50\u679c\u3092\u56f30\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f30\u3011T2K\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u60c5\u5831\u504f\u501a\u91cf\u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\uff08\u3053\u3053\u3067\u306f0.4 GeV\u4ed8\u8fd1\u306b\u6700\u5927\u306e\u504f\u501a\u304c\u73fe\u308c\u308b\u3053\u3068\u304c\u78ba\u8a8d\u3055\u308c\u305f\u3002\u3053\u308c\u306b\u57fa\u3065\u304d\u3001\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u306b\u304a\u3051\u308b\u632f\u5e45\u5f37\u8abf\u30b9\u30b1\u30fc\u30eb\u3092\u8a2d\u5b9a\u3057\u305f\u3002\uff09<\/p>\n\n\n\n

4.2 <\/strong>\u521d\u671f\u60c5\u5831\u504f\u501a\u5834<\/strong> <\/strong>S(x,y,z) <\/strong>\u306e\u69cb\u9020<\/strong><\/p>\n\n\n\n

\u521d\u671f\u306b\u8a2d\u5b9a\u3055\u308c\u305f\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u306e\u4e2d\u592e\u65ad\u9762\uff08x=0 \u9762\uff09\u3092\u53ef\u8996\u5316\u3057\u305f\u7d50\u679c\u3092\u56f31\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f31\u3011\u521d\u671f\u60c5\u5831\u504f\u501a\u5834 S(x=0,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u504f\u501a\u5834\u306f\u30ac\u30a6\u30b9\u4e71\u6570\u5206\u5e03\u306b\u57fa\u3065\u304f\u30e9\u30f3\u30c0\u30e0\u69cb\u9020\u3092\u57fa\u672c\u3068\u3057\u3064\u3064\u3001\u5c40\u6240\u7684\u306b\u504f\u501a\u5f37\u5ea6\u306e\u9ad8\u3044\u300c\u5cf6\u300d\u72b6\u306e\u9818\u57df\u304c\u5f62\u6210\u3055\u308c\u3066\u3044\u305f\u3002\u3053\u306e\u521d\u671f\u69cb\u9020\u304c\u5f8c\u306e\u30d0\u30ea\u30aa\u30f3\u6570\u512a\u52e2\u9818\u57df\u3001\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5f62\u6210\u306e\u7a2e\u3068\u306a\u308b\u3002<\/p>\n\n\n\n

4.3 <\/strong>\u30d0\u30ea\u30aa\u30f3\u6570\u512a\u52e2\u9818\u57df<\/strong> <\/strong>B(x,y,z) <\/strong>\u3068\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834<\/strong><\/p>\n\n\n\n

\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u304b\u3089\u6b63\u306e\u504f\u501a\u9818\u57df\u306e\u307f\u3092\u62bd\u51fa\u3057\u3066\u5f97\u3089\u308c\u305f\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x,y,z) \u306e\u4e2d\u592e\u65ad\u9762\u3092\u56f32\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f32\u3011\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x=0,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

\u504f\u501a\u5834\u306f\u30ac\u30a6\u30b9\u4e71\u6570\u5206\u5e03\u306b\u57fa\u3065\u304f\u30e9\u30f3\u30c0\u30e0\u69cb\u9020\u3092\u57fa\u672c\u3068\u3057\u3064\u3064\u3001\u5c40\u6240\u7684\u306b\u504f\u501a\u5f37\u5ea6\u306e\u9ad8\u3044\u300c\u5cf6\u300d\u72b6\u306e\u9818\u57df\u304c\u5f62\u6210\u3055\u308c\u3066\u3044\u305f\u3002\u3053\u306e\u521d\u671f\u69cb\u9020\u304c\u5f8c\u306e\u30d0\u30ea\u30aa\u30f3\u6570\u512a\u52e2\u9818\u57df\u3001\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5f62\u6210\u306e\u7a2e\u3068\u306a\u308b\u3002<\/p>\n\n\n\n

4.3 <\/strong>\u30d0\u30ea\u30aa\u30f3\u6570\u512a\u52e2\u9818\u57df<\/strong> <\/strong>B(x,y,z) <\/strong>\u3068\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834<\/strong><\/p>\n\n\n\n

\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u304b\u3089\u6b63\u306e\u504f\u501a\u9818\u57df\u306e\u307f\u3092\u62bd\u51fa\u3057\u3066\u5f97\u3089\u308c\u305f\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x,y,z) \u306e\u4e2d\u592e\u65ad\u9762\u3092\u56f32\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f32\u3011\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x=0,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3055\u3089\u306b\u3001\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u63fa\u3089\u304e\u304b\u3089\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u7528\u3044\u3066\u53b3\u5bc6\u306b\u5c0e\u51fa\u3057\u305f\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u306e\u4e2d\u592e\u65ad\u9762\u3092\u56f33\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f33\u3011\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834 \\Phi(x=0,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u3067\u306f\u3001\u30d0\u30ea\u30aa\u30f3\u6570\u304c\u96c6\u7a4d\u3057\u305f\u9818\u57df\u306b\u5bfe\u5fdc\u3057\u3066\u91cd\u529b\u4e95\u6238\u69cb\u9020\u304c\u5f62\u6210\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u89b3\u5bdf\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

4.4 <\/strong>\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u306e\u540c\u5b9a<\/strong><\/p>\n\n\n\n

\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e5\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u4ee5\u4e0b\u306e\u9818\u57df\u3092\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3068\u3057\u3066\u62bd\u51fa\u3057\u305f\u7d50\u679c\u3092\u56f34\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f34\u3011\u661f\u5f62\u6210\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u30de\u30c3\u30d7\uff08\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u306e\u30de\u30b9\u30af\uff09<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u306f\u3001\u91cd\u529b\u4e95\u6238\u304c\u6df1\u304f\u306a\u3063\u305f\u6563\u5728\u7684\u306a\u5730\u70b9\u306b\u5bfe\u5fdc\u3057\u3066\u304a\u308a\u3001\u5b87\u5b99\u521d\u671f\u306b\u304a\u3051\u308b\u661f\u5f62\u6210\u306e\u300c\u7a2e\u300d\u3068\u306a\u308b\u69cb\u9020\u3092\u6301\u3064\u3053\u3068\u304c\u308f\u304b\u3063\u305f\u3002<\/p>\n\n\n\n

4.5 <\/strong>\u60c5\u5831\u504f\u501a\u5834\u306e\u6642\u9593\u767a\u5c55<\/strong><\/p>\n\n\n\n

\u62e1\u6563\u4fc2\u6570\u00a0D=0.1\u3001\u5c40\u6240\u53ce\u7e2e\u4fc2\u6570\u3092\u8a2d\u5b9a\u3057\u3001Euler\u6cd5\u306b\u3088\u308a\u6642\u9593\u767a\u5c55\u3055\u305b\u305f\u60c5\u5831\u504f\u501a\u5834\u306e\u4e2d\u592e\u65ad\u9762\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\u3092\u56f35\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f35\u3011\u60c5\u5831\u504f\u501a\u5834\u306e\u6642\u9593\u767a\u5c55\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\uff08\u6642\u523b0\u300120\u300140\u300160\u300180\u3001100\uff09<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u6642\u9593\u304c\u9032\u3080\u306b\u3064\u308c\u3066\u3001\u60c5\u5831\u504f\u501a\u5834\u306f\u62e1\u6563\u306b\u3088\u308a\u5e83\u304c\u308a\u306a\u304c\u3089\u3082\u3001\u661f\u5f62\u6210\u9818\u57df\u306b\u304a\u3044\u3066\u5c40\u6240\u7684\u306b\u6fc3\u7e2e\u3057\u3001\u660e\u78ba\u306a\u968e\u5c64\u69cb\u9020\u3092\u5f62\u6210\u3059\u308b\u904e\u7a0b\u304c\u78ba\u8a8d\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

4.6 <\/strong>\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9818\u57df\u306e\u5f62\u6210<\/strong><\/p>\n\n\n\n

\u9032\u5316\u5f8c\u306e\u60c5\u5831\u504f\u501a\u5834\u3068\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u63a8\u5b9a\u3057\u305f\u7d50\u679c\u3092\u56f36\u306b\u793a\u3059\u3002<\/p>\n\n\n\n

\u3010\u56f36\u3011\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u30de\u30c3\u30d7\uff08\u4e2d\u592e\u65ad\u9762\uff09<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u9818\u57df\u306f\u3001\u521d\u671f\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u6563\u5728\u72b6\u614b\u304b\u3089\u3001\u81ea\u5df1\u7d44\u7e54\u5316\u306b\u3088\u3063\u3066\u3088\u308a\u9ad8\u5bc6\u5ea6\u3067\u5c40\u6240\u5316\u3057\u305f\u300c\u30db\u30c3\u30c8\u30b9\u30dd\u30c3\u30c8\u300d\u3078\u3068\u767a\u5c55\u3057\u3066\u3044\u305f\u3002\u3053\u308c\u306f\u3001\u62e1\u6563\u3068\u91cd\u529b\u7684\u53ce\u7e2e\u306e\u7af6\u5408\u306e\u4e2d\u3067\u3001\u60c5\u5831\u504f\u501a\u304c\u9032\u5316\u3057\u3001\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u60c5\u5831\u5bc6\u5ea6\u69cb\u9020\u304c\u81ea\u7136\u306b\u751f\u6210\u3055\u308c\u305f\u3053\u3068\u3092\u793a\u5506\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n

\u7b2c<\/strong>5<\/strong>\u7ae0\u3000\u8b70\u8ad6\uff08<\/strong>Discussion<\/strong>\uff09<\/strong><\/strong><\/p>\n\n\n\n

5.1 <\/strong>\u672c\u7814\u7a76\u306e\u610f\u7fa9<\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u306f\u3001\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u306b\u7531\u6765\u3059\u308b\u60c5\u5831\u504f\u501a\u304c\u3001\u5358\u306a\u308b\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u6027\u306e\u751f\u6210\u306b\u7559\u307e\u3089\u305a\u3001\u5b87\u5b99\u69cb\u9020\u5f62\u6210\u3001\u3055\u3089\u306b\u306f\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u60c5\u5831\u74b0\u5883\u306e\u751f\u6210\u306b\u307e\u3067\u9023\u7d9a\u7684\u306b\u95a2\u4e0e\u3057\u3046\u308b\u3068\u3044\u3046\u4eee\u8aac\u3092\u63d0\u6848\u3057\u305f\u70b9\u306b\u304a\u3044\u3066\u3001\u65b0\u898f\u6027\u3092\u6709\u3059\u308b\u3002\u5f93\u6765\u306e\u6a19\u6e96\u7684\u30d0\u30ea\u30aa\u30b8\u30a7\u30cd\u30b7\u30b9\u7406\u8ad6\u3084\u30ec\u30d7\u30c8\u30b8\u30a7\u30cd\u30b7\u30b9\u7406\u8ad6\u306f\u3001\u30d0\u30ea\u30aa\u30f3\u6570\u306e\u6570\u91cf\u7684\u4e0d\u5747\u8861\u306b\u7126\u70b9\u3092\u5f53\u3066\u308b\u4e00\u65b9\u3067\u3001\u60c5\u5831\u306e\u975e\u5bfe\u79f0\u6027\u3084\u305d\u308c\u304c\u3082\u305f\u3089\u3059\u69cb\u9020\u7684\u9032\u5316\u306b\u95a2\u3059\u308b\u8b70\u8ad6\u306f\u5341\u5206\u306b\u884c\u308f\u308c\u3066\u3044\u306a\u304b\u3063\u305f\u3002<\/p>\n\n\n\n

\u672c\u7814\u7a76\u3067\u306f\u3001T2K\u5b9f\u9a13\u30c7\u30fc\u30bf\u3068\u3044\u3046\u89b3\u6e2c\u7684\u5b9f\u7e3e\u306b\u57fa\u3065\u3044\u3066\u3001\u60c5\u5831\u504f\u501a\u91cf\u3092\u5177\u4f53\u7684\u306b\u5b9a\u7fa9\u3057\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u5fae\u7d30\u69cb\u9020\u306e\u7a2e\u3068\u3057\u3066\u306e\u5f79\u5272\u3092\u5b9a\u91cf\u7684\u306b\u8ffd\u8de1\u3067\u304d\u305f\u3053\u3068\u306b\u7406\u8ad6\u7684\u610f\u7fa9\u304c\u3042\u308b\u3002<\/p>\n\n\n\n

5.2 <\/strong>\u4ed6\u306e\u5b87\u5b99\u8ad6\u30e2\u30c7\u30eb\u3068\u306e\u6bd4\u8f03<\/strong><\/p>\n\n\n\n

\u6a19\u6e96\u5b87\u5b99\u8ad6\u3067\u306f\u3001\u7269\u8cea\u5206\u5e03\u306e\u521d\u671f\u63fa\u3089\u304e\u306f\u4e3b\u306b\u91cf\u5b50\u63fa\u3089\u304e\uff08\u30a4\u30f3\u30d5\u30ec\u30fc\u30b7\u30e7\u30f3\u671f\uff09\u306b\u7531\u6765\u3059\u308b\u3068\u3055\u308c\u308b\u3002\u3053\u308c\u306b\u5bfe\u3057\u3066\u672c\u7814\u7a76\u306f\u3001\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u3068\u3044\u3046\u5225\u8d77\u6e90\u306e\u5fae\u7d30\u60c5\u5831\u504f\u501a\u304c\u3001\u5c40\u6240\u7684\u306a\u7269\u8cea\u96c6\u7a4d\u306b\u5bc4\u4e0e\u3057\u305f\u53ef\u80fd\u6027\u3092\u63d0\u793a\u3057\u305f\u3002<\/p>\n\n\n\n

\u307e\u305f\u3001\u591a\u5b87\u5b99\u4eee\u8aac\uff08Multiverse Hypotheses\uff09\u3084CPT\u7834\u308c\u5b87\u5b99\u30e2\u30c7\u30eb\u30104\u3011\u306b\u304a\u3044\u3066\u3082\u3001\u610f\u8b58\u767a\u751f\u306b\u5bfe\u3059\u308b\u8a00\u53ca\u306f\u9593\u63a5\u7684\u306b\u7559\u307e\u3063\u3066\u3044\u308b\u3002\u672c\u7814\u7a76\u306f\u3001\u60c5\u5831\u5bc6\u5ea6\u3068\u3044\u3046\u7269\u7406\u91cf\u306b\u57fa\u3065\u304d\u3001\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e\u7a7a\u9593\u7684\u5206\u5e03\u3092\u63a8\u5b9a\u3057\u305f<\/strong>\u70b9\u3067\u3001\u610f\u8b58\u3068\u5b87\u5b99\u9032\u5316\u306e\u63a5\u7d9a\u306b\u65b0\u305f\u306a\u7406\u8ad6\u7684\u8db3\u5834\u3092\u4e0e\u3048\u308b\u3002<\/p>\n\n\n\n

\u3055\u3089\u306b\u3001\u610f\u8b58\u306e\u767a\u751f\u6761\u4ef6\u306b\u3064\u3044\u3066\u306f\u3001\u7d71\u5408\u60c5\u5831\u7406\u8ad6\uff08IIT\uff09\u30106\u3011\u3084Tegmark\u306e\u300c\u610f\u8b58\uff1d\u60c5\u5831\u306e\u7269\u7406\u72b6\u614b\u300d\u4eee\u8aac\u30107\u3011\u3068\u3082\u6574\u5408\u7684\u306a\u4eee\u8aac\u62e1\u5f35\u304c\u53ef\u80fd\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

5.3 <\/strong>\u672c\u7814\u7a76\u306e\u9650\u754c<\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u7406\u8ad6\u7684\u304a\u3088\u3073\u65b9\u6cd5\u8ad6\u7684\u9650\u754c\u304c\u5b58\u5728\u3059\u308b\u3002<\/p>\n\n\n\n

(1) <\/strong>\u60c5\u5831\u504f\u501a\u5834\u306e\u521d\u671f\u8a2d\u5b9a<\/strong><\/p>\n\n\n\n

\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u00a0S(x,y,z)\u00a0\u306f\u7121\u76f8\u95a2\u306a\u30ac\u30a6\u30b9\u4e71\u6570\u3068\u3057\u3066\u751f\u6210\u3055\u308c\u3066\u304a\u308a\u3001\u73fe\u5b9f\u306e\u5b87\u5b99\u306b\u304a\u3051\u308b\u30b3\u30ea\u30ec\u30fc\u30b7\u30e7\u30f3\u69cb\u9020\uff08\u4f8b\u3048\u3070CMB\u306e\u30d1\u30ef\u30fc\u30b9\u30da\u30af\u30c8\u30eb\uff09\u3092\u5341\u5206\u306b\u518d\u73fe\u3057\u3066\u3044\u306a\u3044\u3002\u4eca\u5f8c\u306f\u3001\u7a7a\u9593\u7684\u81ea\u5df1\u76f8\u95a2\u3092\u6301\u3064\u521d\u671f\u5834\u30e2\u30c7\u30eb\u3078\u306e\u62e1\u5f35\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

(2) <\/strong>\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e\u9032\u5316<\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u3067\u306f\u3001\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u7528\u3044\u3066\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u3092\u53b3\u5bc6\u306b\u5c0e\u51fa\u3057\u305f\u304c\u3001\u305d\u306e\u5f8c\u306e\u5b87\u5b99\u81a8\u5f35\u3084\u975e\u7dda\u5f62\u91cd\u529b\u9032\u5316\uff08\u4f8b\uff1a\u9280\u6cb3\u5f62\u6210\u904e\u7a0b\uff09\u3092\u6570\u5024\u7684\u306b\u306f\u30e2\u30c7\u30eb\u5316\u3057\u3066\u3044\u306a\u3044\u3002\u3088\u308a\u73fe\u5b9f\u7684\u306a\u9032\u5316\u904e\u7a0b\u3092\u6271\u3046\u306b\u306f\u3001\u5b87\u5b99\u8ad6\u7684N\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u5c0e\u5165\u304c\u671b\u307e\u308c\u308b\u3002<\/p>\n\n\n\n

(3) <\/strong>\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e\u5b9a\u7fa9<\/strong><\/p>\n\n\n\n

\u300c\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u300d\u3092\u9ad8\u60c5\u5831\u504f\u501a\u5bc6\u5ea6\u9818\u57df\u3068\u5358\u7d14\u306b\u5bfe\u5fdc\u3055\u305b\u305f\u304c\u3001\u5b9f\u969b\u306e\u610f\u8b58\u767a\u751f\u306b\u306f\u60c5\u5831\u7d71\u5408\u5ea6\u3001\u81ea\u5df1\u7d44\u7e54\u5316\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u6d41\u306e\u6301\u7d9a\u306a\u3069\u8907\u96d1\u306a\u8981\u4ef6\u304c\u5fc5\u8981\u3067\u3042\u308a\u3001\u73fe\u30e2\u30c7\u30eb\u306f\u3053\u308c\u3089\u3092\u660e\u793a\u7684\u306b\u7d44\u307f\u8fbc\u3093\u3067\u3044\u306a\u3044\u3002<\/p>\n\n\n\n

5.4 <\/strong>\u89b3\u6e2c\u7684\u30fb\u5b9f\u9a13\u7684\u691c\u8a3c\u53ef\u80fd\u6027<\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u4eee\u8aac\u306e\u691c\u8a3c\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u89b3\u6e2c\u30fb\u5b9f\u9a13\u8a08\u753b\u304c\u91cd\u8981\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u3002<\/p>\n\n\n\n

\u00a0\u2022CMB<\/strong>\u5fae\u7d30\u69cb\u9020\u7570\u5e38\u306e\u691c\u51fa<\/strong><\/p>\n\n\n\n

\uff08CMB-S4\u8a08\u753b\u306b\u304a\u3051\u308b\u9ad8\u5206\u89e3\u80fd\u89b3\u6e2c\u306b\u3088\u308b\u6975\u5fae\u5c0f\u975e\u30ac\u30a6\u30b9\u6027\u306e\u767a\u898b\uff09<\/p>\n\n\n\n

\u00a0\u2022\u521d\u671f\u5b87\u5b99\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u80cc\u666f\uff08<\/strong>CNB<\/strong>\uff09\u306e\u691c\u51fa<\/strong><\/p>\n\n\n\n

\uff08PTOLEMY\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u3088\u308a\u5b87\u5b99\u521d\u671f\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u306e\u76f4\u63a5\u89b3\u6e2c\u304c\u671f\u5f85\u3055\u308c\u308b\uff09<\/p>\n\n\n\n

\u00a0\u2022\u5927\u898f\u6a21\u9280\u6cb3\u5206\u5e03\u306e\u60c5\u5831\u69cb\u9020\u89e3\u6790<\/strong><\/p>\n\n\n\n

\uff08\u60c5\u5831\u7406\u8ad6\u7684\u624b\u6cd5\u3092\u7528\u3044\u305f\u9280\u6cb3\u56e3\u30fb\u30dc\u30a4\u30c9\u5206\u5e03\u306e\u9ad8\u6b21\u7d71\u8a08\u89e3\u6790\uff09<\/p>\n\n\n\n

\u3000\u3053\u308c\u3089\u306e\u5c06\u6765\u89b3\u6e2c\u306b\u3088\u308a\u3001\u60c5\u5831\u504f\u501a\u304c\u521d\u671f\u5b87\u5b99\u306b\u5b58\u5728\u3057\u305f\u75d5\u8de1\u3092\u9593\u63a5\u7684\u306b\u691c\u8a3c\u3059\u308b\u9053\u304c\u958b\u304b\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n\n

5.5 <\/strong>\u4eca\u5f8c\u306e\u5c55\u671b<\/strong><\/p>\n\n\n\n

\u3000\u4eca\u5f8c\u306e\u8ab2\u984c\u3068\u3057\u3066\u3001\u4ee5\u4e0b\u304c\u6319\u3052\u3089\u308c\u308b\u3002<\/p>\n\n\n\n

\u2022\u7a7a\u9593\u7684\u76f8\u95a2\u69cb\u9020\u3092\u6301\u3064\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/p>\n\n\n\n

\u00a0\u2022\u5b87\u5b99\u81a8\u5f35\u3092\u8003\u616e\u3057\u305f\u91cd\u529b\u5834\u9032\u5316\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/p>\n\n\n\n

\u00a0\u2022\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e\u6570\u7406\u7684\u5b9a\u7fa9\u5f37\u5316\uff08\u60c5\u5831\u7d71\u5408\u5ea6\u3001\u81ea\u5df1\u7d44\u7e54\u5316\u6307\u6a19\u306e\u5c0e\u5165\uff09<\/p>\n\n\n\n

\u00a0\u2022\u89b3\u6e2c\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u504f\u501a\u5834\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3068\u30d9\u30a4\u30ba\u63a8\u5b9a<\/p>\n\n\n\n

\u3000\u3053\u308c\u3089\u306e\u9032\u5c55\u306b\u3088\u308a\u3001\u5b87\u5b99\u3068\u610f\u8b58\u306e\u9032\u5316\u3092\u4e00\u9023\u306e\u60c5\u5831\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u3068\u3057\u3066\u6349\u3048\u308b\u7406\u8ad6\u4f53\u7cfb\u306e\u6df1\u5316\u304c\u671f\u5f85\u3055\u308c\u308b\u3002<\/p>\n\n\n\n

\u7b2c<\/strong>6<\/strong>\u7ae0\u3000\u7d50\u8ad6\uff08<\/strong>Conclusion<\/strong>\uff09<\/strong><\/strong><\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u3067\u306f\u3001\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u632f\u52d5\u306b\u8d77\u56e0\u3059\u308b\u60c5\u5831\u504f\u501a\u304c\u3001\u521d\u671f\u5b87\u5b99\u306b\u304a\u3051\u308b\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u6027\u306e\u751f\u6210\u306b\u7559\u307e\u3089\u305a\u3001\u5b87\u5b99\u69cb\u9020\u5f62\u6210\u3001\u3055\u3089\u306b\u306f\u610f\u8b58\u767a\u751f\u306b\u8cc7\u3059\u308b\u60c5\u5831\u74b0\u5883\u306e\u5275\u51fa\u306b\u81f3\u308b\u53ef\u80fd\u6027\u3092\u7406\u8ad6\u7684\u306b\u691c\u8a0e\u3057\u305f\u3002<\/p>\n\n\n\n

\u3000T2K\u5b9f\u9a13\u306b\u57fa\u3065\u304d\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u4f9d\u5b58\u306e\u60c5\u5831\u504f\u501a\u91cf\u3092\u62bd\u51fa\u3057\u3001\u305d\u308c\u3092\u3082\u3068\u306b\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u00a0S(x,y,z)\u00a0\u3092\u8a2d\u5b9a\u3057\u305f\u3002<\/p>\n\n\n\n

\u3000\u3055\u3089\u306b\u3001\u504f\u501a\u5834\u306b\u3088\u308a\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834\u00a0B(x,y,z)\u00a0\u3092\u69cb\u7bc9\u3057\u3001\u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u3092\u7528\u3044\u3066\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834\u00a0\\Phi(x,y,z)\u00a0\u3092\u53b3\u5bc6\u306b\u5c0e\u51fa\u3057\u305f\u3002<\/p>\n\n\n\n

\u3000\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306b\u57fa\u3065\u304d\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3092\u7279\u5b9a\u3057\u3001\u60c5\u5831\u5bc6\u5ea6\u306e\u9ad8\u3044\u9818\u57df\u3092\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3068\u3057\u3066\u62bd\u51fa\u3059\u308b\u904e\u7a0b\u3092\u3001\u62e1\u6563\u3068\u53ce\u7e2e\u3092\u542b\u3080\u6642\u9593\u767a\u5c55\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308a\u53ef\u8996\u5316\u3057\u305f\u3002<\/p>\n\n\n\n

\u3000\u3053\u308c\u306b\u3088\u308a\u3001\u521d\u671f\u5fae\u7d30\u306a\u60c5\u5831\u504f\u501a\u304c\u3001\u5b87\u5b99\u69cb\u9020\u3068\u60c5\u5831\u9032\u5316\u3092\u9023\u7d9a\u7684\u306b\u99c6\u52d5\u3057\u3001\u6700\u7d42\u7684\u306b\u306f\u610f\u8b58\u767a\u751f\u306b\u81f3\u308b\u53ef\u80fd\u6027\u3092\u6301\u3064\u9ad8\u60c5\u5831\u74b0\u5883\u3092\u81ea\u5df1\u7d44\u7e54\u5316\u3059\u308b\u9053\u7b4b\u304c\u5b58\u5728\u3059\u308b\u3053\u3068\u304c\u793a\u5506\u3055\u308c\u305f\u3002<\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u306f\u3001\u5b87\u5b99\u3068\u610f\u8b58\u3092\u5358\u306a\u308b\u5076\u767a\u7684\u7523\u7269\u3067\u306f\u306a\u304f\u3001\u60c5\u5831\u9032\u5316\u306e\u5fc5\u7136\u7684\u5e30\u7d50<\/strong>\u3068\u3057\u3066\u7406\u89e3\u3059\u308b\u65b0\u305f\u306a\u7406\u8ad6\u7684\u67a0\u7d44\u307f\u3092\u63d0\u4f9b\u3059\u308b\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

\u3000\u5c06\u6765\u7684\u306b\u306f\u3001\u7a7a\u9593\u30b3\u30ea\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u6301\u3064\u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u306e\u5c0e\u5165\u3001\u5b87\u5b99\u81a8\u5f35\u3092\u542b\u3080\u91cd\u529b\u5834\u9032\u5316\u30e2\u30c7\u30eb\u306e\u9ad8\u5ea6\u5316\u3001\u60c5\u5831\u7d71\u5408\u7406\u8ad6\u306b\u57fa\u3065\u304f\u610f\u8b58\u767a\u751f\u6761\u4ef6\u306e\u6570\u7406\u30e2\u30c7\u30eb\u5316\u3001\u306a\u3089\u3073\u306b\u89b3\u6e2c\u7684\u691c\u8a3c\u3092\u901a\u3058\u3066\u3001\u3053\u306e\u4eee\u8aac\u306e\u691c\u8a3c\u3068\u6df1\u5316\u3092\u9032\u3081\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002<\/p>\n\n\n\n

\u3000\u672c\u7814\u7a76\u304c\u3001\u5b87\u5b99\u5275\u6210\u3068\u610f\u8b58\u767a\u751f\u3092\u7d71\u5408\u7684\u306b\u7406\u89e3\u3059\u308b\u8a66\u307f\u3078\u306e\u4e00\u52a9\u3068\u306a\u308b\u3053\u3068\u3092\u671f\u5f85\u3059\u308b\u3002<\/p>\n\n\n\n

\u3010\u6b63\u5f0f\u7248<\/strong> <\/strong>\u56f3\u30ad\u30e3\u30d7\u30b7\u30e7\u30f3\uff08\u82f1\u8a9e\uff09\u3011<\/strong><\/strong><\/p>\n\n\n\n

Figure 0<\/strong><\/p>\n\n\n\n

Title:<\/strong> Energy Dependence of Neutrino Information Skew Based on T2K Data<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

The absolute difference between the neutrino and antineutrino oscillation probabilities as a function of neutrino energy, extracted from T2K experimental data. A peak skew is observed around 0.4 GeV, which serves as the basis for scaling the amplitude of the initial information skew field.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 1<\/strong><\/p>\n\n\n\n

Title:<\/strong> Cross-Section of the Initial Information Skew Field S(x=0,y,z)<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

A two-dimensional slice (x=0) of the initial random information skew field S(x,y,z), generated by Gaussian noise. Localized regions of high skew are visible, forming the seeds for later baryon dominance and gravitational potential structures.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 2<\/strong><\/p>\n\n\n\n

Title:<\/strong> Cross-Section of the Initial Baryon Density Field B(x=0,y,z)<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

The baryon density field B(x,y,z), obtained by extracting positive skew regions from the initial information field. The structure highlights areas with a surplus of matter over antimatter, acting as the foundation for gravitational potential wells.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 3<\/strong><\/p>\n\n\n\n

Title:<\/strong> Cross-Section of the Gravitational Potential Field \\Phi(x=0,y,z)<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

The gravitational potential field \\Phi(x,y,z) computed by solving the Poisson equation in Fourier space based on the baryon density fluctuations. Clear gravitational wells correspond to areas of baryon overdensity.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 4<\/strong><\/p>\n\n\n\n

Title:<\/strong> Star Formation Potential Map (Cross-Section at x=0)<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

The identified star formation potential regions, defined as areas where the gravitational potential falls below the 5th percentile. These regions represent gravitational wells deep enough to allow for matter condensation and star formation.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 5<\/strong><\/p>\n\n\n\n

Title:<\/strong> Time Evolution Snapshots of the Information Skew Field<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

Snapshots of the evolution of the information skew field at different time steps (0, 20, 40, 60, 80, 100). The field exhibits diffusion and localized contraction, leading to the development of clearer hierarchical structures over time.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Figure 6<\/strong><\/p>\n\n\n\n

Title:<\/strong> Cross-Section of the Consciousness Emergence Potential Map<\/p>\n\n\n\n

Caption:<\/strong><\/p>\n\n\n\n

A map of the consciousness emergence potential, combining the star formation regions with areas of high information skew. The final distribution shows localized \u201chotspots\u201d of concentrated information density, suggesting self-organized structures favorable to consciousness emergence.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

{<\/strong>\u5229\u7528\u3057\u305fPython\u30d7\u30ed\u30b0\u30e9\u30e0}<\/strong><\/p>\n\n\n\n

\u56f30<\/p>\n\n\n\n

import numpy as np<\/p>\n\n\n\n

import matplotlib.pyplot as plt<\/p>\n\n\n\n

# \u56f30\uff1aT2K\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u60c5\u5831\u504f\u501a\u91cf\u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

# \u30a8\u30cd\u30eb\u30ae\u30fc\uff08GeV\uff09<\/p>\n\n\n\n

energy = np.array([0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0])<\/p>\n\n\n\n

# \u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u3068\u53cd\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u306e\u632f\u52d5\u78ba\u7387<\/p>\n\n\n\n

P_numu_to_nue = np.array([0.0355, 0.0473, 0.0259, 0.0155, 0.0101, 0.0071, 0.0052, 0.0040, 0.0032, 0.0026])<\/p>\n\n\n\n

P_antinumu_to_antinue = np.array([0.0143, 0.0305, 0.0194, 0.0125, 0.0085, 0.0061, 0.0046, 0.0036, 0.0029, 0.0024])<\/p>\n\n\n\n

# \u60c5\u5831\u504f\u501a\u91cf S(E)<\/p>\n\n\n\n

S_total = np.abs(P_numu_to_nue – P_antinumu_to_antinue)<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8\u4f5c\u6210<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.plot(energy, S_total, marker=’o’, label=’Information Skew $S(E)$’)<\/p>\n\n\n\n

plt.scatter(energy[np.argmax(S_total)], np.max(S_total), color=’red’, label=f’Peak at {energy[np.argmax(S_total)]:.2f} GeV’)<\/p>\n\n\n\n

plt.xlabel(‘Neutrino Energy (GeV)’)<\/p>\n\n\n\n

plt.ylabel(‘Information Skew $S(E)$’)<\/p>\n\n\n\n

plt.title(‘Energy Dependence of Neutrino Information Skew’)<\/p>\n\n\n\n

plt.grid(True)<\/p>\n\n\n\n

plt.legend()<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f31<\/p>\n\n\n\n

# \u56f31\uff1a\u521d\u671f\u60c5\u5831\u504f\u501a\u5834 S(x,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

# \u521d\u671f\u8a2d\u5b9a<\/p>\n\n\n\n

grid_size = 100  # 100x100x100\u30b0\u30ea\u30c3\u30c9<\/p>\n\n\n\n

sigma_0 = 1.0    # \u504f\u501a\u306e\u6700\u5927\u5f37\u5ea6<\/p>\n\n\n\n

np.random.seed(42)  # \u518d\u73fe\u6027\u306e\u305f\u3081\u4e71\u6570\u30b7\u30fc\u30c9\u56fa\u5b9a<\/p>\n\n\n\n

# \u4e09\u6b21\u5143\u30b0\u30ea\u30c3\u30c9\u4e0a\u306b\u30ac\u30a6\u30b9\u4e71\u6570\u3067\u60c5\u5831\u504f\u501a\u5834\u3092\u751f\u6210<\/p>\n\n\n\n

S = np.random.normal(0, sigma_0, size=(grid_size, grid_size, grid_size))<\/p>\n\n\n\n

# \u4e2d\u592e\u65ad\u9762 (x=0) \u3092\u62bd\u51fa<\/p>\n\n\n\n

S_slice = S[grid_size \/\/ 2, :, :]<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.imshow(S_slice, extent=[-1,1,-1,1], origin=’lower’, cmap=’coolwarm’)<\/p>\n\n\n\n

plt.colorbar(label=’Information Skew $S(x=0,y,z)$’)<\/p>\n\n\n\n

plt.title(‘Cross-Section of Initial Information Skew Field (x=0)’)<\/p>\n\n\n\n

plt.xlabel(‘y’)<\/p>\n\n\n\n

plt.ylabel(‘z’)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f32<\/p>\n\n\n\n

# \u56f32\uff1a\u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834 B(x,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

# \u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u5834\u306e\u751f\u6210\uff08\u60c5\u5831\u504f\u501a\u5834\u306e\u6b63\u306e\u90e8\u5206\u306e\u307f\u3092\u62bd\u51fa\uff09<\/p>\n\n\n\n

B = np.clip(S, 0, None)  # S > 0 \u306e\u9818\u57df\u306e\u307f\u6b8b\u3059<\/p>\n\n\n\n

# \u4e2d\u592e\u65ad\u9762 (x=0) \u3092\u62bd\u51fa<\/p>\n\n\n\n

B_slice = B[grid_size \/\/ 2, :, :]<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.imshow(B_slice, extent=[-1,1,-1,1], origin=’lower’, cmap=’viridis’)<\/p>\n\n\n\n

plt.colorbar(label=’Baryon Density $B(x=0,y,z)$’)<\/p>\n\n\n\n

plt.title(‘Cross-Section of Initial Baryon Density Field (x=0)’)<\/p>\n\n\n\n

plt.xlabel(‘y’)<\/p>\n\n\n\n

plt.ylabel(‘z’)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f33<\/p>\n\n\n\n

from numpy.fft import fftn, ifftn, fftfreq<\/p>\n\n\n\n

# \u56f33\uff1a\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u5834 \u03a6(x,y,z) \u306e\u65ad\u9762\u56f3<\/p>\n\n\n\n

# \u91cd\u529b\u5b9a\u6570 (\u3053\u3053\u3067\u306f\u5358\u4f4d\u7cfb\u3092\u898f\u683c\u5316\u3057\u3066 G=1)<\/p>\n\n\n\n

G = 1.0<\/p>\n\n\n\n

# \u30d0\u30ea\u30aa\u30f3\u6570\u5bc6\u5ea6\u306e\u5e73\u5747\u3092\u5f15\u3044\u3066\u3001\u63fa\u3089\u304e\u6210\u5206\u3092\u4f5c\u6210<\/p>\n\n\n\n

delta_rho = B – np.mean(B)<\/p>\n\n\n\n

# 3D\u30d5\u30fc\u30ea\u30a8\u5909\u63db<\/p>\n\n\n\n

delta_rho_k = fftn(delta_rho)<\/p>\n\n\n\n

# \u6ce2\u6570\u30d9\u30af\u30c8\u30eb\u4f5c\u6210<\/p>\n\n\n\n

k = fftfreq(grid_size, d=2.0\/grid_size) * 2 * np.pi  # -\u03c0\u301c\u03c0\u306e\u7bc4\u56f2<\/p>\n\n\n\n

kx, ky, kz = np.meshgrid(k, k, k, indexing=’ij’)<\/p>\n\n\n\n

k_squared = kx**2 + ky**2 + kz**2<\/p>\n\n\n\n

k_squared[0,0,0] = 1e-12  # k=0\u3067\u306e0\u9664\u7b97\u3092\u9632\u6b62<\/p>\n\n\n\n

# \u30d5\u30fc\u30ea\u30a8\u7a7a\u9593\u3067\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u8a08\u7b97<\/p>\n\n\n\n

Phi_k = -4 * np.pi * G * delta_rho_k \/ k_squared<\/p>\n\n\n\n

# \u9006\u30d5\u30fc\u30ea\u30a8\u5909\u63db\u3057\u3066\u5b9f\u7a7a\u9593\u3078<\/p>\n\n\n\n

Phi = np.real(ifftn(Phi_k))<\/p>\n\n\n\n

# \u4e2d\u592e\u65ad\u9762 (x=0) \u3092\u62bd\u51fa<\/p>\n\n\n\n

Phi_slice = Phi[grid_size \/\/ 2, :, :]<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.imshow(Phi_slice, extent=[-1,1,-1,1], origin=’lower’, cmap=’plasma’)<\/p>\n\n\n\n

plt.colorbar(label=’Gravitational Potential $\\Phi(x=0,y,z)$’)<\/p>\n\n\n\n

plt.title(‘Cross-Section of Gravitational Potential Field (x=0)’)<\/p>\n\n\n\n

plt.xlabel(‘y’)<\/p>\n\n\n\n

plt.ylabel(‘z’)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f34<\/p>\n\n\n\n

# \u56f34\uff1a\u661f\u5f62\u6210\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u30de\u30c3\u30d7\uff08\u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u30de\u30b9\u30af\uff09<\/p>\n\n\n\n

# \u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u306e\u95be\u5024\uff08\u91cd\u529b\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u306e5\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u4ee5\u4e0b\uff09<\/p>\n\n\n\n

threshold = np.percentile(Phi, 5)<\/p>\n\n\n\n

# \u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u30de\u30b9\u30af\u4f5c\u6210<\/p>\n\n\n\n

star_formation_mask = Phi < threshold<\/p>\n\n\n\n

# \u4e2d\u592e\u65ad\u9762 (x=0) \u3092\u62bd\u51fa<\/p>\n\n\n\n

star_formation_slice = star_formation_mask[grid_size \/\/ 2, :, :]<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.imshow(star_formation_slice, extent=[-1,1,-1,1], origin=’lower’, cmap=’Greens’)<\/p>\n\n\n\n

plt.colorbar(label=’Star Formation Region (1 = Yes, 0 = No)’)<\/p>\n\n\n\n

plt.title(‘Star Formation Potential Map (x=0)’)<\/p>\n\n\n\n

plt.xlabel(‘y’)<\/p>\n\n\n\n

plt.ylabel(‘z’)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f35<\/p>\n\n\n\n

from scipy.ndimage import laplace<\/p>\n\n\n\n

# \u56f35\uff1a\u60c5\u5831\u504f\u501a\u5834\u306e\u6642\u9593\u767a\u5c55\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<\/p>\n\n\n\n

# \u30d1\u30e9\u30e1\u30fc\u30bf\u8a2d\u5b9a<\/p>\n\n\n\n

num_steps = 100        # \u7dcf\u30b9\u30c6\u30c3\u30d7\u6570<\/p>\n\n\n\n

dt = 0.01              # \u30bf\u30a4\u30e0\u30b9\u30c6\u30c3\u30d7<\/p>\n\n\n\n

D = 0.1                # \u62e1\u6563\u4fc2\u6570<\/p>\n\n\n\n

alpha_base = 0.05      # \u57fa\u672c\u53ce\u7e2e\u4fc2\u6570<\/p>\n\n\n\n

# \u521d\u671f\u60c5\u5831\u504f\u501a\u5834\u306e\u30b3\u30d4\u30fc<\/p>\n\n\n\n

S_evolve = S.copy()<\/p>\n\n\n\n

# \u5c40\u6240\u53ce\u7e2e\u4fc2\u6570\u30d5\u30a3\u30fc\u30eb\u30c9\uff08\u661f\u5f62\u6210\u9818\u57df\u3067\u306f\u53ce\u7e2e\u3092\u5f37\u3081\u308b\uff09<\/p>\n\n\n\n

alpha_field = alpha_base * (1 + 4 * star_formation_mask.astype(float))<\/p>\n\n\n\n

# \u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\u4fdd\u5b58\u7528\u30ea\u30b9\u30c8<\/p>\n\n\n\n

snapshots = []<\/p>\n\n\n\n

# \u6642\u9593\u767a\u5c55\u30eb\u30fc\u30d7<\/p>\n\n\n\n

for step in range(num_steps):<\/p>\n\n\n\n

    laplacian_S = laplace(S_evolve)<\/p>\n\n\n\n

    dS_dt = D * laplacian_S – alpha_field * S_evolve<\/p>\n\n\n\n

    S_evolve += dS_dt * dt<\/p>\n\n\n\n

    # \u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\u3092\u8a18\u9332\uff0820\u30b9\u30c6\u30c3\u30d7\u3054\u3068\uff0b\u6700\u7d42\u30b9\u30c6\u30c3\u30d7\uff09<\/p>\n\n\n\n

    if step % 20 == 0 or step == num_steps – 1:<\/p>\n\n\n\n

        snapshots.append(S_evolve[grid_size \/\/ 2, :, :].copy())<\/p>\n\n\n\n

# \u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8\u3092\u4e26\u3079\u3066\u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

fig, axes = plt.subplots(1, len(snapshots), figsize=(20,5))<\/p>\n\n\n\n

for idx, snapshot in enumerate(snapshots):<\/p>\n\n\n\n

    ax = axes[idx]<\/p>\n\n\n\n

    im = ax.imshow(snapshot, extent=[-1,1,-1,1], origin=’lower’, cmap=’coolwarm’, vmin=-1, vmax=1)<\/p>\n\n\n\n

    ax.set_title(f’Time {idx*20}’)<\/p>\n\n\n\n

    ax.axis(‘off’)<\/p>\n\n\n\n

fig.colorbar(im, ax=axes.ravel().tolist(), shrink=0.6, label=’Information Skew $S(x=0,y,z,t)$’)<\/p>\n\n\n\n

plt.suptitle(‘Evolution of Information Skew Field (Slice at x=0)’, y=1.02)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u56f36<\/p>\n\n\n\n

# \u56f36\uff1a\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u30de\u30c3\u30d7<\/p>\n\n\n\n

# \u6b63\u306e\u60c5\u5831\u504f\u501a\u306e\u307f\u3092\u62bd\u51fa<\/p>\n\n\n\n

S_positive = np.clip(S, 0, None)<\/p>\n\n\n\n

# \u661f\u5f62\u6210\u53ef\u80fd\u9818\u57df\u3068\u639b\u3051\u5408\u308f\u305b\u3066\u3001\u610f\u8b58\u767a\u751f\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u5b9a\u7fa9<\/p>\n\n\n\n

consciousness_potential = S_positive * star_formation_mask<\/p>\n\n\n\n

# \u4e2d\u592e\u65ad\u9762 (x=0) \u3092\u62bd\u51fa<\/p>\n\n\n\n

consciousness_slice = consciousness_potential[grid_size \/\/ 2, :, :]<\/p>\n\n\n\n

# \u30d7\u30ed\u30c3\u30c8<\/p>\n\n\n\n

plt.figure(figsize=(8,6))<\/p>\n\n\n\n

plt.imshow(consciousness_slice, extent=[-1,1,-1,1], origin=’lower’, cmap=’inferno’)<\/p>\n\n\n\n

plt.colorbar(label=’Consciousness Emergence Potential’)<\/p>\n\n\n\n

plt.title(‘Cross-Section of Consciousness Emergence Potential (x=0)’)<\/p>\n\n\n\n

plt.xlabel(‘y’)<\/p>\n\n\n\n

plt.ylabel(‘z’)<\/p>\n\n\n\n

plt.tight_layout()<\/p>\n\n\n\n

# \u753b\u50cf\u3092\u8868\u793a<\/p>\n\n\n\n

plt.show()<\/p>\n\n\n\n

\u53c2\u8003\u6587\u732e<\/strong><\/strong><\/p>\n\n\n\n

\u30101\u3011<\/p>\n\n\n\n

K. Abe et al. (T2K Collaboration),<\/p>\n\n\n\n

\u201cConstraint on the matter\u2013antimatter symmetry-violating phase in neutrino oscillations,\u201d<\/p>\n\n\n\n

Nature<\/em>, 580<\/strong>, 339\u2013344 (2020).<\/p>\n\n\n\n

doi:10.1038\/s41586-020-2177-0<\/p>\n\n\n\n

\u30102\u3011<\/p>\n\n\n\n

A.D. Sakharov,<\/p>\n\n\n\n

\u201cViolation of CP invariance, C asymmetry, and baryon asymmetry of the universe,\u201d<\/p>\n\n\n\n

JETP Letters<\/em>, 5<\/strong>, 24\u201327 (1967).<\/p>\n\n\n\n

\uff08\u539f\u8ad6\u6587\uff1a\u30bd\u9023\u7269\u7406\u5b66\u754c\u306e\u30d0\u30ea\u30aa\u30f3\u975e\u5bfe\u79f0\u7406\u8ad6\u57fa\u790e\uff09<\/p>\n\n\n\n

\u30103\u3011<\/p>\n\n\n\n

W. Buchmuller, R.D. Peccei, and T. Yanagida,<\/p>\n\n\n\n

\u201cLeptogenesis as the origin of matter,\u201d<\/p>\n\n\n\n

Annual Review of Nuclear and Particle Science<\/em>, 55<\/strong>, 311\u2013355 (2005).<\/p>\n\n\n\n

doi:10.1146\/annurev.nucl.55.090704.151558<\/p>\n\n\n\n

\u30104\u3011<\/p>\n\n\n\n

Planck Collaboration,<\/p>\n\n\n\n

\u201cPlanck 2018 results. VI. Cosmological parameters,\u201d<\/p>\n\n\n\n

Astronomy & Astrophysics<\/em>, 641<\/strong>, A6 (2020).<\/p>\n\n\n\n

doi:10.1051\/0004-6361\/201833910<\/p>\n\n\n\n

\u30105\u3011<\/p>\n\n\n\n

S. Betts et al.,<\/p>\n\n\n\n

\u201cDevelopment of a Relic Neutrino Detection Experiment at PTOLEMY: Princeton Tritium Observatory for Light, Early-Universe, Massive-Neutrino Yield,\u201d<\/p>\n\n\n\n

arXiv:1307.4738 [astro-ph.IM] (2013).<\/p>\n\n\n\n

\uff08\u5b87\u5b99\u521d\u671f\u30cb\u30e5\u30fc\u30c8\u30ea\u30ce\u89b3\u6e2c\u8a08\u753b\u306e\u6280\u8853\u6587\u66f8\uff09<\/p>\n\n\n\n

\u30106\u3011<\/p>\n\n\n\n

G. Tononi,<\/p>\n\n\n\n

\u201cAn information integration theory of consciousness,\u201d<\/p>\n\n\n\n

BMC Neuroscience<\/em>, 5<\/strong>, 42 (2004).<\/p>\n\n\n\n

doi:10.1186\/1471-2202-5-42<\/p>\n\n\n\n

\u30107\u3011<\/p>\n\n\n\n

M. Tegmark,<\/p>\n\n\n\n

\u201cConsciousness as a State of Matter,\u201d<\/p>\n\n\n\n

Chaos, Solitons & Fractals<\/em>, 76<\/strong>, 238\u2013270 (2015).<\/p>\n\n\n\n

doi:10.1016\/j.chaos.2015.03.014<\/p>\n\n\n\n

\uff08\u521d\u51fa\u306farXiv:1401.1219\uff09<\/p>\n\n\n\n\n\n\n\n

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