Newsgroups: alt.astronomy,alt.ufo.reports
From: kymhorsell@gmail.com
Subject: first cut: searching for stellar light curves in you-know-what 

[uploaded 60 times; last 31/10/2024]

The TESS project is yet another space telescope that looked for
various things -- e.g. planetary transits -- in stellar light curves.
Various sub-projects have looked at parts of the enormous data stream that
came off the telescope and I've zeroed in on DIAmante that looked at
mostly dim M-class stars mostly in the S Hem.

The idea of looking at this data is to determine whether the pattern
of lighting and dimming in somewhat remote stars also shows up in
certain phenomena we have been seeing here on Planet Dirt for the
past 70+ years.

If such patterns do turn up it doesn't prove anything necessarily, but
it ("would" :) raises the question why do phenomena seen here flying
inside the atm and in the oceans as well as LEO and other areas of
nearby space (the whole thing now has become "trans-medium"), why do
these things have any imprint of a pattern of stellar magnitude for
some star or stars quite far away?  How can this happen?

I've started downloading yet another giant dataset from the STSCI.
Unlike some other projects DIAmante holds a big catalog of dim stars
that have been viewed at 12 frames per second over several weeks and
produced an ASCII output rather than a FITS file. The FITS section of 
my various projects is on hold until I finally manage to extract
ASCII tables from a growing list of FITS sources. Direct output as text
pushes that tedious work further back on the stove. Thanks, whoever. :)

My AI assistants have now tinkered up a simple pipeline that processes
light curves from DIAmante and checks whether any "phenomena" contain a
beyond-chance signal that looks the same. Each DIAmante light curve
(each one is actually a set of related light-curves from the same
part of the sky processed in several different ways) is compressed into 
daily data and time series of the relevant "phenomena" are searched for 
at least 20 repeats of each DIAmante curve.

It was rather a long-shot to start this search but the results to date
show that, yes, the sighting of unusual things in the Earth's atm --
mostly over N America -- do contain large chunks of beyond-coincidence
repeats of light curves from stars that otherwise are not very
remarkable.  It turns out the light-curves for stars we all know and
love -- e.g. Proxima Centauri -- are a little harder to come by
anyway.  (I'm not up to trying to extract data tables out of PDF 
or other plots of datapoints; that kind of exercise is seldom worth the 
trouble of digitising the image).

While the processing is still under development initial results are
encouraging. Of the 10 initial DIAmante light curves 1 in particular seems 
to crop up many times. A dim 8th mag star at Dec +8 deg and RA 118 deg
was observed by TESS for about 3 weeks and boils down here to a sequence of 
23 numbers that show the average normalized flux for consecutive days
sometime around 2015, probably originating from a dim star 10-20 years
before that.

The data looks like:


JD	Avg normalised flux
	for each 24 hrs period
	observed
1468	1.00169
1469	1.00095
1470	0.998064
1471	0.994287
1472	0.99603
1473	0.998925
1474	1.00019
1475	1.00447
1476	1.00472
1477	1
1478	0.998654
1479	0.999023
1480	1.00158
1481	1.0011
1482	1.00204
1483	1.00216
1484	0.996709
1485	0.994412
1486	0.997462
1487	1.00009
1488	0.999736
1489	1.00072
1490	1.00068

With 23 numbers that essentially are a pattern of "above normal",
"below normal" we might expect to find this pattern maybe 1 time in a
million (i.e. 1 in 2^23) in any other sequence of numbers.  Maybe the
odds get shortened because many phenomena are periodic.  But it's hard
to explain that certain types of sightings reported over the past 70+
years have this sequence of ups and downs repeated at least 6 times
inside them.

The sightings in question are recorded by the NUFORC. The organisation
makes its dataset totally available to all researchers without fee or
registration. The organisation classifies individual reports by color
and shape, by location and time of day. I have further added some
classifications based on keywords in the summary comment for each
report. This ends up producing about 250 different types of phenomena.

We not only find the above unusual pattern at least 6 times in one
type of phenomena, which seems to be highly against the odds.  But we
find the same pattern 6 times in many different types of
phenomena. The initial processing finds around 90 types of phenomena
encode the same series of up and down variations multiple times,
apparently highly statistically significant. You can essentially
predict future variations of the phenomena using this past pattern of
variations -- not exactly, but "skillfully" and far beyond anything
that could be expected by just guessing or using a fixed "average" value.

The reason this is so interesting at this preliminary stage of
light-curve examination -- the fact light curves from distant stars
seem to occur in so many different types of sightings fits in exactly
with other work that is at a more advanced stage.  Examining planetary
data around the solar system has found many connections between the
position and movement of the various moons, asteroids, comets and
planets with certain sightings -- but most of the major categories of
the phenomena get absolutely no hits.  It's as if sightings reported
on earth are either related entirely to earth-bound phenomena --
unlikely given there is data showing it comes and goes from LEO and
further out in space -- or it is more related to objects much further
out in space than e.g. the main asteroid belt between Mars and Jupiter
or the moons of the outer planets.

Why we find stellar light curves inside many types of UFO sightings is
a matter for only speculation.  One immed possibility is that the
phenomena in question are somehow related to the goings-on in the
relevant distant solar system(s). Maybe at some point in their past
history they "came through" or "nearby" that system and the variation
in stellar brightness -- possibly related to major flare activity --
left their mark on the movement of the relevant objects.  Or maybe the
phenomena for unknown reasons use a space telescope to see the changes
in brightness in that remote system and adopt a timetable of activity
based on that data. For some reason.

But one of the beauty part of using AI-based investigation techniques
is the ability to demand the system tighten up the elastic bands to
make it even more certain the patterns being discovered are really
really beyond a statistical fluke -- or (worse) somehow an artifact of
all the processing that's been carried out on the relevant data -- in there.

The s/w can introduce additional checking that can eventually be
tightened to make the patterns undetectable in the target data.  At
that point we can assess whether the checks are justified or are too
extreme.  If they filter out other patterns we know we should be
finding then we know the interesting patterns are "actually" present
in the target data.


--
"Nothing in life is to be feared, it is only to be understood.
Now is the time to understand more, so that we may fear less."
- Marie Curie

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