Virtual Astronomy 74
DarkKnightRadick writes: "In this day and age, data sharing, data mining and distributed computing are words most of us know well enough, but until recently, those phrases were connected with such projects as DNET, and more recently with SETI@Home. Now we should all welcome the newcomer, Virtual Astronomy. With the framework being developed by three different groups (one in the UK, one in the US, and one in Australia), one would expect this to be a very competitive field, but alas, this is not the case. The three groups are working together so that they can have it all up in running the in the projected 15 years that it will take to put all this data into an electronic format."
This is definately the way to go (Score:1)
Kevin
That's been the trend in recent years (Score:1, Troll)
I fully expect that by 2010 or so, we probably will not be doing launches more than once every few years. Indeed, it is rumored that the recent space shuttle launch was intended only to intimidate third-world nations in the Middle East and make them realize our superior technology - not for any scientific purpose. I do not believe that that launch would have taken place in the absence of the 9/11 events. When I checked the calendar several months ago, it did not show any major launches until late 2002.
~wally
Re:That's been the trend in recent years (Score:2)
In business VAST amounts of information is now routinely being gathered. In most cases nothing useful is being done with it. One of the things we do for clients is identify the data that can be usefully REPORTED, rather than gathered.
That way you only gather data that you will be getting value from, reducing the gathering effort and cost dramatically.
If all scientific data were to be treated similarly - i.e. gather as you need - more resource could be put into the analysis as less is put into gathering. Data for its own sake is fine if you have unlimited resource. Most of us don't - not even Nasa during wartime.
Re:That's been the trend in recent years (Score:1)
But in astronomy at least, new missions (in the case of NASA that means spacecraft, but it applies to ground observatories as well) are mainly driven precisely by need. We've got all this great X-ray data from Chandra, and in many cases it leads to more questions that can't be answered by the data it can provide. Ergo, we build the next generation instrument.
Sure, we end up with lots of data that has other uses, and even some data that is never analyzed for lack of time. But don't think for a minute that we could learn anything like what we know by sitting back and just analyzing old data. You want to check the Iron K-line complex? Sorry, no existing data has the resolution.
Mind you, the project in question is A Good Idea. But I assure you that new missions are very competetive, and are approved only if the science to be gained is not achievable with current instruments.
Re:That's been the trend in recent years (Score:4, Informative)
If you want facts, as opposed to fiction, see the current NASA launch forecast [nasa.gov].
Re:The Moon: A Ridiculous Liberal Myth (Score:1)
That's no troll, its a weather balloon!
-sigh- (Score:2, Insightful)
Fascinating, but what's the attraction? (Score:1)
So my comment is really this: Examples used to "sell" distributed computing before were pretty much aimed more at a larger group of people. D.NET had RSA sponsoring the RC5/64 competition with a cash prize. Also the bragging rights of how many Gigakeys you pumped out in a day was worth it to some. Also, with the Cure for Cancer project, this is something that people will see having a very positive impact to each and every one of us. But, with this, where is the incentive? What will it matter to the end-user (who will be donating his/her spare CPU cycles) what a space rock orbiting Pluto's diameter is? I see the concept will be very powerful if applied to this scenario, but I don't see it really catching on with people. Maybe those who are/have participated in Seti@Home can comment, since this seems to be a similar project?
Re:Fascinating, but what's the attraction? (Score:1)
Re:virtual blackhole images rendered with OpenGL (Score:1)
Re:virtual blackhole images rendered with OpenGL (Score:1)
Already done [nasa.gov] (minus the OpenGL):
About that website... (Score:1)
I think some of us are missing the point here (Score:1)
Competition (Score:4, Insightful)
Our village needs a new town hall. Because we're modern progressive thinkers, rather than build one, we've decided that we're going to divide the village into three teams, and then compete to see which team can build a town hall first. Each team will get a grant from tax-payers money to build their hall. Obviously this will give us the best and most efficient result.
More information (Score:3, Informative)
Uh... (Score:5, Informative)
Interesting, but YOU can do this... (Score:3, Informative)
Works even better if you run Linux and can get IRAS running and have a good display, especially if you want to fool around with the Hubble archives [stsci.edu]. Professional astronomers have been doing their research on unixes for 20 plus years. Tools are available for the asking and most professionals and grad students are willing to help out an amateur who is serious. Linux brings, to an amateur, the same desktop power, but at a very low cost.
Astronomy is one of the few hard sciences where an amateur can contribute serious work, either with nothing more than a telescope and a webcam to digging into the very numerous digital archives that are available for free.
And to add to that, there is a long, long, tradition of amateurs and professional astronomers working together. For a great example see theAmerican Assoc. of Variable Star Observers [aavso.org].
This isn't p2p astronomy (Score:3, Informative)
Want a particular portion of the sky at a particular wavelength? Just check the database for it. Simple as that. With the amount of machine-controlled telescopes and the new arrays developed, sucking in all this data, managing it, consolidating it and allowing people to access it in an easy way is a great move forward.
science fair discoveries (Score:2)
For example: SETI@home data reuse (Score:1)
Details at: http://setiathome.berkeley.edu/newsletters/newslet ter10.html [berkeley.edu]
- Matt Lebofsky - SETI@home
Not really news. . . . (Score:1)
Broken Link (Score:1)
So How is this different from the CADC? (Score:2, Informative)
From their web pages:
it's really about being more efficient (Score:2, Informative)
Much of astronomy now is done by individual astronomers going to telescopes and pointing to interesting objects in the sky. Each researcher has lists of several objects they'd like to observe, and on their night at the telescope, they skip from object to object. This is good for the individual astronomer, but unfortunately, wastes a lot of time, because a lot of the time must be spent on finding the object, moving the telescope, etc. Because observing time is so precious, a new way has been discovered to make it more efficient -- virtual observing.
Virtual observing mas made possible by the great advances in database technology and hardware storage technology. It works by having a telescope (which used to be used by astronomers for individual objects, for example) survey broad areas of sky, subsequently storing that data on disk. Efficiency is increased, because you essentially put the telescope in one position and let the sky move over it, instead of having to point from object to object. Also, setting the telescope up for one survey run is much better than setting it up for the 2 or 3 observers each night, who may have different requirements.
Then, when an "observer" wants to look at an object, instead of asking the telescope to point there specially for him/her, now he/she just goes to the database and retrieves the image. It's better for the astronomer too -- quicker, no need to wait for a clear night, or your time to observer, and no need to fly out to the observatory. There are also lots of gains to be had in the science, too, because some experiments require large swaths of continuous sky to analyze, instead of just individual objects. Much of the work demonstrating the expansion of the universe relies on having such data, and it's only been possible recently with the first virtual observing projects.
The challenges are, as stated in previous posts, compiling all the data so that it can be accessible in an easy way by observers around the world, storage, and data processing. It's going to be an exciting time for astronomy, and I think that our knowledge is going to increase rapidly!
Some astro software (Score:2)
Xephem (a planetarium and analysis program for linux) is very cool because it can both pull the sky from your LX200 telescope or by replacing the telescope driver with a perl script, it can download part of the sky from an online database, after which you can do realtime image processing on it.
It can also match stars in the sky to stars in the database. So far I have only been able to pull down large segments of the sky at once, but as soon as I can clear the disk space I'll be trying some other pieces of software to try and download smaller pieces of the sky. Starry Night also downloads DSS [stsci.edu] (Digital Sky Survey) images I believe.
NASA Skyview service [nasa.gov]
Multimission Archive [stsci.edu]
StarView [stsci.edu]
Software [sfasu.edu] for different platforms (or check freshmeat.net)
Serious scientific platforms/data [caltech.edu]
Skyview (available at IPAC) is available as linux binary and installs quickly at 10mb. It lets you do image analysis with text commands. I have not used it a lot myself.
AstroWeb [nrao.edu]