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.
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The new HUGnetView data viewer for the live data stream is up with the improved data viewer. It is still catching up to the newest data.
Eventually it will be at this address:
http://data.hugnetlab.com
For now, you can go to this IP address, instead,
http://96.126.123.132
The old location will still work, but will be even slower, now.
Here is your generous contributions so far towards our $500,000 target, thanks everyone! : $45,020 Please Donate
See the current state of our booked costs here
Comments
The reason for this request is that no one can be confident that the excess heating mechanism acts slowly. I have a gut feeling that it is very quick and we will have a difficult time understanding the waveforms even at the current rate. The best comparison is to that of an aliased function.
Allow us to obtain the raw unfiltered data as is available now. We will apply the appropriate filtering functions to suit our purposes.
The chart is 750 pixel wide, but at a rate of 0.5 Hz, 4 hours of data (for example) would mean that 4*60*60*0.5 = 7200 data points are being attempted to be fit there. This is almost 10 times more data than can be actually viewed. It gets even worse when one tries to display 12 hours of data. Even for only 30 minutes of data you're already exceeding the chart resolution.
In practice, it isn't even that much necessary to plot a data point every 2 seconds. One every 5 or even 10 seconds would still be enough but would save a lot of bandwidth and allow real time data streaming for everybody.
.7z compressed .csv files containing daily full data sets (or about specific events) for those interested can still be provided separately.
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