[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
The Problem was SETI, now STI
Let me try to outline the problem of the moment.
There are 5 Mark IV systems that can presently run and take data. One of
them, TOM1 has taken most of the data available, about 18,000 images stored
on 350 CDs. TOM2 and TOM3 are near operation, as is ROB. MICHAEL, ARNE,
and MIKE could take or are taking data.
MICHAEL, ARNE, and MIKE are in the hands of people who know how to process
data if they take it. They also understand what they are doing and be
relied on to not make processing calibration errors. The TOMs are in the
hands of someone (me) that will take some time (a year or so) before he is
up to speed in processing the data. I am sure I could push data through
Michael's pipeline sooner than a year. The problem is in understanding
what I am doing. That will take longer. It is dangerous to process a lot
of data without understanding all the steps.
There are a dozen or so people in the group with the required skills to run
a pipeline, but who do not have data. There are a smaller number who have
both the computer skills and the experience in astronomical calibrations to
generate a reliable result. Many of these have Mark IVs. They have them
because I hope they will run them and start working on the calibration
problems.
Eventually I (and others) will be able to process data as we take it. This
is not true today. If the present data were reduced to star lists, then we
could start looking for interesting things. Doug has proposed one thing to
study.
The longer the time history is, the more valuable this data becomes. That
is why I am taking data even though I can not yet process it.
My seti proposal was an attempt to get started on the processing. This is
not yet just pushing CDs through a pipeline. It has to be done with
intelligence. There is much to learn about error.
Many of you on this list have the required computer skills to start
processing this data. I suspect that most of you do not (yet) have the
skills in astronomy that are required to generate a result that has the
best possible calibration. Those of you with Unix skills are one step
ahead of me. I have to learn Unix skills, then I can start processing data
where I will learn calibration skills.
Why not have a few of you start learning the calibration skills? There are
a number of people on the list that can help with the real problems. As I
have mentioned, this is the level of work that you do as a graduate student
to get a PhD these days. One takes course work, then joins some experiment
and then sits in front of a terminal grinding data for a couple of years
under the supervision of experienced experimenters. We have experienced
experimenters, we have data, what is needed is more experienced programmers
sitting in front of terminals grinding on the data. I promise you that you
will learn a lot. The advantage of this data is that it does not require
very much in the way of course work to get to the point of having an
understanding of what you are doing. One needs to learn something about
statistics, and error, but most of you here have educations that at least
touched on these topics. You can learn what is needed. (Experts might
disagree and might want to comment.)
OK, I will comment. It is easy to generate a lot of bad data from the
images that have been taken. Generating a reliable result will take
special skill. I think there are enough of you on this list that one or
two will have what it takes. The way to find out is to have a go at
it. There are lots of examples in the tech notes of how experts go about
this type of analysis. As I keep saying, you will learn a lot if you
try. These days generating a piece of experimental equipment, running it,
and analyzing the results are all separate skills. Not many do all three
well. These days there are teams of hundreds (at Fermilab) doing
each. Somewhat smaller groups at observatories. With remote operation, I
suppose you can get a PhD in astronomy these days without ever having
visited a mountain or looked through a telescope. I suspect most advisors
will push you to do it once.
OK, seti has been set up so that the processors can do it mindlessly. That
is not the problem here, so I was wrong to refer to seti. This is a
"Search for Terrestrial Intelligence." STI. I am looking for a few good
data analyzers to start working on this data.
Tom Droege