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[AZ-Observing] Re: Armchair Galaxy-Spotting

  • From: "Jimmy Ray" <jimmy_ray@xxxxxxx>
  • To: <az-observing@xxxxxxxxxxxxx>
  • Date: Mon, 1 Oct 2007 20:27:42 -0700
Stan,

This thing is completely E-V-I-L !!! I have clasified will over a Bizzilion 
and still can't tear myself away from this thing. Sure there is a lot of 
C-R-A-P to look through but then one pops up that takes your breath away, 
spurring on the search for the next little wonder out there. I haven't 
looked at how many passes the images take thought the classification process 
but for all I know I'm the only one how as ever seen image "X" ever! (love 
this thing)

Jimmy Ray

(I'm sure Brian Skiff is thinking that he's just found a poor shmuck to go 
though a pile of data they have but no one wants to do...(put it on line, 
throw in a T-shirt and a box of Twinkie's and I just might ;-)

----- Original Message ----- 
From: "Stan Gorodenski" <stan_gorodenski@xxxxxxxxxxxxx>
To: "AZ-Observing" <az-observing@xxxxxxxxxxxxx>
Sent: Monday, September 24, 2007 11:05
Subject: [AZ-Observing] Armchair Galaxy-Spotting


FYI.
Stan

If you can tell a star from a galaxy, astronomers at Portsmouth and
Oxford universities in the United Kingdom and Johns Hopkins University
in the United States would like you and your computer to help classify
about a million images from the robotic Sloan Digital Sky Survey
telescope at Apache Point Observatory in Sunspot, New Mexico.

Volunteers are invited to go to www.galaxyzoo.org
<http://www.galaxyzoo.org> to see pictures of galaxies, "most of which
have never been viewed by human eyes before," according to a statement
on the Web site. Participants will categorize each image as spiral,
elliptical, star/don't know, or mergers. The spiral galaxies are then
subdivided into clockwise, anticlockwise, and edge-on.

"The human brain is actually better than a computer at pattern
recognition tasks like this," says Oxford astrophysicist Kevin
Schawinski. Astrophysicist Bob Nichol of Portsmouth adds that getting
the galaxies classified is "as fundamental as knowing if a human is male
or female."

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