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Welcome

The Martin Fleischmann Memorial Project is a group dedicated to researching Low Energy Nuclear Reactions (often referred to as LENR) while sharing all procedures, data, and results openly online. We rely on comments from online contributors to aid us in developing our experiments and contemplating the results. We invite everyone to participate in our discussions, which take place in the comments of our experiment posts. These links can be seen along the right-hand side of this page. Please browse around and give us your feedback. We look forward to seeing you around Quantum Heat.

Join us and become part of the project. Become one of the active commenters, who question our work and suggest next steps.

Or, if you are an experimenter, talk to us about becoming an affiliated lab and doing your work in a Live Open Science manner.

We've had a bit of fun dreaming up a possible way to SEE LENR on live video footage. Follow along and I'll rationalize. . .

If a nuclear reaction is happening inside these cells, there's got to be a lot of thermal energy. But we're talking about, dare I say it, COLD fusion here and we search for much smaller amounts of excess energy. Maybe the anomalous heat we're all looking for is a macroassebmly of nanoreactions. These localized areas would produce extreme heat commensurate with a nuclear reaction and assemble into controllable and measurable excess heat. 

In v. 10 of JCMNS, David J. Nagel opened the issue with the possible correlation between materials that have exhibited excess heat and craters that have developed on the surface. Though Nagel could not make any solid conclusions for or against this proposition, it got us to thinking. We can't comment if this idea is valid or not, but we think we have a way to get us going in the right direction. 

It's not as difficult as it may sound, and it actually doesn't involve a thermal camera. Thermal cameras are costly and can't even see through glass, making the prospect of looking at the metal surface in our reactors impossible. That's where all the action is and that's exactly what we CAN'T see (thermally, of course). 

Turns out that Paul knows a thing or two about black body radiation, and also knows a lot of things about electronic devices. So we grabbed a webcam and got to a google hangout not to see people, to see infrared radiation. 

 

However as cool as this sounds we have no way  of processing the resulting images to store the events the camera would witness. We currently believe saving the histograms from each pixel of the megapixel camera would be the best way, but that would eat 1GB+ of RAM, and be a lot to sort through. We need help from you AV gurus. What do you think? Do you have any suggestions for this dilemma?

 

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0 #12 social rank 2017-03-17 15:49
Yesterday, while I was at work, my cousin stole my iPad and tested to see if it can survive a twenty five foot drop, just so she can be a youtube sensation. My apple ipad is now destroyed and she has 83
views. I know this is completely off topic but I had to share it with someone!
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0 #11 Malachi Heder 2013-03-26 15:17
@ Ron B

When we had moved the cell out from under the hood last week it did get to room temp. It did not however go to room temp when we had the bug. It temporarily went down to half power and then back up.
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0 #10 artefact 2013-03-25 19:43
@Kapytanhook:
Some years ago a made a program that ran 100 robots on a playground. The ASM algorithm was about 100 times faster then in the original language. It was fun to do that. A pitty that ASM gets more and more forgotten.
Your Program seems to run fast enough though :lol:

@MFMP: If you need some help with VBA or something let me know.
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0 #9 Ron B 2013-03-25 19:14
Malachi,
Yes, the history worked for me. I can see the data and I was surprised to see that the Pxs has grown so much!

When the power went off before, did the temp of the cell drop all the way to ambient?
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0 #8 Paul Hunt 2013-03-25 18:55
@KappytanHook
Contact me at
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0 #7 drew 2013-03-25 17:26
@ Malachi
I at least still cannot see any data, I'm using this address data.hugnetlab.com/, It's obviously active but maybe you're not streaming the data here anymore?
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0 #6 Kapytanhook 2013-03-25 14:50
@Paul Hunt
Yes logging it will be the easy part, i could make it post statistics online or to a file.
What will be a tad harder is to livestream it but can also be possible. I have set up a bit of a concept for you guys to check out. Is there a way for me to get in contact besides this website?
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0 #5 Paul Hunt 2013-03-25 14:29
@KapytanHook,
You have a good idea.
I am also looking for ways to gather data about how many spikes, where, and of what intensity over a period of hours.
I have a few concepts. Do you have any ideas?
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0 #4 Malachi Heder 2013-03-25 14:17
@ Ron B

It should be up :)
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0 #3 Ron B 2013-03-24 15:54
Is the data viewer for the experiments still down or am I just having troubles with it??
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0 #2 Ron B 2013-03-23 02:31
Bob, I like that idea. The black is the one with low light performance too. Built in wireless is very nice.
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+1 #1 Robert Greenyer 2013-03-22 22:17
Maybe use OpenCV to count pixels above one or more thresholds from the raw data and record the actual video at 1/4 res H264.

opencv.willowgarage.com/wiki/

Time stamp both.

I would recommend using a Hero Black - as it has the ability to do frame rates from 1 in 60 seconds to 240fps - built in H264 encoding and uncompressed HDMI out - use of which with a capture card could allow CV data processing without data loss. But not that cheap!

gopro.com/.../hero3-faqs
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