1 00:00:10,580 --> 00:00:07,160 result now at the end up finally I'll 2 00:00:14,330 --> 00:00:10,590 mention that there is other evidence for 3 00:00:16,970 --> 00:00:14,340 a solar Association the Purdue people 4 00:00:20,720 --> 00:00:16,980 have their own experiment running in the 5 00:00:24,130 --> 00:00:20,730 laboratory in riverford you is I forget 6 00:00:27,769 --> 00:00:24,140 now this in the air is in the are they 7 00:00:30,730 --> 00:00:27,779 I've got neighbor city anyway they have 8 00:00:34,190 --> 00:00:30,740 found an association between 9 00:00:37,549 --> 00:00:34,200 fluctuations in the decay rate and solar 10 00:00:41,660 --> 00:00:37,559 flares and let's go let's go to the 11 00:00:43,340 --> 00:00:41,670 curve so the green curve the top or the 12 00:00:48,920 --> 00:00:43,350 blue curve is their measurements of 13 00:00:51,500 --> 00:00:48,930 decay rates or actually the number of an 14 00:00:54,410 --> 00:00:51,510 integral of the number of counts the 15 00:00:57,889 --> 00:00:54,420 green curve is a straight line which was 16 00:01:01,340 --> 00:00:57,899 the blue lion would follow if the decay 17 00:01:03,860 --> 00:01:01,350 rate were constant the red line is a 18 00:01:06,469 --> 00:01:03,870 measurement of x-ray data from flares 19 00:01:09,170 --> 00:01:06,479 that measurement from ago satellite that 20 00:01:14,929 --> 00:01:09,180 shows you an flare the car and this is a 21 00:01:19,460 --> 00:01:14,939 an expanded picture showing that at 22 00:01:23,080 --> 00:01:19,470 times of certain flares like this one 23 00:01:26,450 --> 00:01:23,090 the decay rate has dropped significantly 24 00:01:28,070 --> 00:01:26,460 now what's really interesting here if 25 00:01:30,319 --> 00:01:28,080 this is a real association we need to 26 00:01:34,520 --> 00:01:30,329 check this what's really interesting is 27 00:01:38,590 --> 00:01:34,530 that the decay rate begins to drop 28 00:01:44,050 --> 00:01:38,600 before the flare and if this is a real 29 00:01:46,310 --> 00:01:44,060 phenomenon it's going to be a predictive 30 00:01:48,800 --> 00:01:46,320 process that we are predict when if 31 00:01:51,319 --> 00:01:48,810 there's going to happen by monitoring a 32 00:01:54,800 --> 00:01:51,329 decay rate of elements how could this 33 00:01:57,709 --> 00:01:54,810 possibly happen well we know the flare 34 00:02:02,359 --> 00:01:57,719 that use magnetic fields at the surface 35 00:02:04,010 --> 00:02:02,369 of the sun in certain complex fields 36 00:02:09,219 --> 00:02:04,020 with strong field would give rise to 37 00:02:10,940 --> 00:02:09,229 flares we know that the neutrino flux is 38 00:02:12,290 --> 00:02:10,950 influenced or can 39 00:02:14,809 --> 00:02:12,300 influenced by the internal magnetic 40 00:02:17,780 --> 00:02:14,819 field and so the interpretation would be 41 00:02:19,940 --> 00:02:17,790 but a very strong flux tube is bubbling 42 00:02:22,550 --> 00:02:19,950 up from deep down in the Sun towards the 43 00:02:24,460 --> 00:02:22,560 surface as it bubbles up it begins to 44 00:02:28,009 --> 00:02:24,470 interfere with the flux of neutrinos 45 00:02:30,410 --> 00:02:28,019 that gives rise to a decay to drop in 46 00:02:32,990 --> 00:02:30,420 the decay rate when that flux tube 47 00:02:35,120 --> 00:02:33,000 arrives are at the surface this big 48 00:02:38,229 --> 00:02:35,130 complex flux tube begins to become 49 00:02:40,369 --> 00:02:38,239 unstable and gives rise to flares so 50 00:02:42,410 --> 00:02:40,379 this is something that really needs to 51 00:02:45,199 --> 00:02:42,420 be followed up very carefully it's great 52 00:02:48,530 --> 00:02:45,209 interest to the Air Force and probably 53 00:02:50,479 --> 00:02:48,540 other agencies to this is where we are I 54 00:02:53,110 --> 00:02:50,489 think it's a very exciting project so 55 00:02:56,870 --> 00:02:53,120 sum up they're very strong evidence that 56 00:03:01,580 --> 00:02:56,880 the decay rates of radioactive elements 57 00:03:04,130 --> 00:03:01,590 does vary with time I believe that good 58 00:03:06,949 --> 00:03:04,140 evidence that there is an association 59 00:03:26,629 --> 00:03:06,959 with neutrino flux that is something 60 00:03:30,759 --> 00:03:26,639 that remains to be further studied we 61 00:03:57,699 --> 00:03:30,769 have plenty of time for questions 62 00:04:04,819 --> 00:04:00,589 it takes certain magnet fuel 63 00:04:07,520 --> 00:04:04,829 configurations to influence internal my 64 00:04:09,920 --> 00:04:07,530 nephew Institute to to to influence a 65 00:04:13,729 --> 00:04:09,930 new fee no flux and so it's quite 66 00:04:15,319 --> 00:04:13,739 possible that certain flux tubes have 67 00:04:17,810 --> 00:04:15,329 the right orientation and the right 68 00:04:20,330 --> 00:04:17,820 strength to affect the decay rates other 69 00:04:22,460 --> 00:04:20,340 flux tubes have the wrong orientation or 70 00:04:36,549 --> 00:04:22,470 the wrong strength and they do not 71 00:04:45,559 --> 00:04:41,959 I'm going to another Island in Okinawa 72 00:05:04,519 --> 00:04:45,569 state in Japan in July to do an eclipse 73 00:05:08,089 --> 00:05:04,529 to take part in Eclipse experiment some 74 00:05:14,100 --> 00:05:08,099 and yet we don't normally do random 75 00:05:20,960 --> 00:05:17,570 just wondering in light of these days 76 00:05:23,910 --> 00:05:20,970 we need to reconsider how we interpret 77 00:05:32,510 --> 00:05:23,920 what a radioactive decay process 78 00:05:40,140 --> 00:05:37,200 yes do we need to reconsider what we 79 00:05:41,940 --> 00:05:40,150 meet by random process since we normally 80 00:05:46,530 --> 00:05:41,950 think of a random process is one that is 81 00:05:48,720 --> 00:05:46,540 a constant in time a certain fixed event 82 00:05:54,110 --> 00:05:48,730 rate and time and here we have event 83 00:05:56,990 --> 00:05:54,120 rates that vary in time and I think 84 00:06:02,400 --> 00:05:57,000 they're probably in physics many I mean 85 00:06:05,310 --> 00:06:02,410 in in chemistry you have chemical 86 00:06:08,450 --> 00:06:05,320 reactions going on if you look at it in 87 00:06:11,820 --> 00:06:08,460 a microsecond time scale it might be 88 00:06:15,240 --> 00:06:11,830 looking random looking on a two-day 89 00:06:19,250 --> 00:06:15,250 timescale it looks perfectly steady so I 90 00:06:22,800 --> 00:06:19,260 think that there are many cases where 91 00:06:24,510 --> 00:06:22,810 phenomenon where events occur that a 92 00:06:27,210 --> 00:06:24,520 random if you look at the most short 93 00:06:30,390 --> 00:06:27,220 time scale but not randoms you come on a 94 00:06:32,490 --> 00:06:30,400 long time scale I'll ask further people 95 00:06:34,770 --> 00:06:32,500 asking questions who please speak up 96 00:06:47,200 --> 00:06:34,780 loudly so that the whole room can hear 97 00:06:54,370 --> 00:06:50,920 and about 25 years ago under the massive 98 00:07:00,480 --> 00:06:54,380 screening of biological processes vs vs 99 00:07:05,910 --> 00:07:03,820 yes libraries news and I kept getting 100 00:07:08,010 --> 00:07:05,920 very 101 00:07:13,740 --> 00:07:08,020 with 102 00:07:22,030 --> 00:07:13,750 so perhaps 103 00:07:27,910 --> 00:07:26,119 processes possibility 104 00:07:31,000 --> 00:07:27,920 ass is 105 00:07:39,940 --> 00:07:31,010 patience for the operation of atomic 106 00:07:44,110 --> 00:07:39,950 clocks implications with other of atomic 107 00:07:45,970 --> 00:07:44,120 clocks a good one I mean if the elements 108 00:07:50,620 --> 00:07:45,980 involved are elements would have been 109 00:07:52,720 --> 00:07:50,630 found to vary in time the hey rates then 110 00:07:56,140 --> 00:07:52,730 obviously you have to be says you have 111 00:07:59,440 --> 00:07:56,150 to reconsider what you consider to be a 112 00:08:01,420 --> 00:07:59,450 stable clock the first point I'd love to 113 00:08:03,700 --> 00:08:01,430 get hold of your data on these 114 00:08:15,490 --> 00:08:03,710 biological processes and compare them 115 00:08:17,680 --> 00:08:15,500 with neutrinos and other data yeah there 116 00:08:33,570 --> 00:08:17,690 are museums with those pieces of 117 00:08:45,010 --> 00:08:38,490 years old so we had sort of the same 118 00:08:48,000 --> 00:08:45,020 number but we see that things look at 119 00:08:50,590 --> 00:08:48,010 this kind of see things like overs and 120 00:08:54,130 --> 00:08:50,600 other processes may be that we can't 121 00:08:57,180 --> 00:08:54,140 detail doesn't this really called into 122 00:09:02,360 --> 00:08:57,190 question some of our radioactive 80 123 00:09:09,630 --> 00:09:05,250 the question is this corner question our 124 00:09:11,520 --> 00:09:09,640 youth of radioactive dating and the 125 00:09:13,140 --> 00:09:11,530 possibly one has to look at the elements 126 00:09:16,290 --> 00:09:13,150 involved and look at this annual 127 00:09:20,070 --> 00:09:16,300 variation data and see if any I think it 128 00:09:23,490 --> 00:09:20,080 means that we need to look much more 129 00:09:26,460 --> 00:09:23,500 closely at decay rate estimates and what 130 00:09:29,430 --> 00:09:26,470 typically you see people follow up decay 131 00:09:30,870 --> 00:09:29,440 rates for a year and you know smooth 132 00:09:32,820 --> 00:09:30,880 things out and that gives an average 133 00:09:35,520 --> 00:09:32,830 decay rate what they think is the decay 134 00:09:38,280 --> 00:09:35,530 rate if you know decay rate varies in 135 00:09:41,400 --> 00:09:38,290 time obviously you're going to have to 136 00:09:43,950 --> 00:09:41,410 take much longer measurements much more 137 00:09:46,560 --> 00:09:43,960 carefully and then in future you have to 138 00:09:55,380 --> 00:09:46,570 take into account time variation of 139 00:09:58,260 --> 00:09:55,390 decay rate sort of all hollow question