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Hello my fellow Politiores Troglodytes. This Blog is a collection of Posts, Poems, & Short Stories that I write on a daily basis. If you find it entertaining, informative, and controversial, then I have done my job properly. Thank goodness too, because Karma has been on my case of late. I'm supposed to bring fifty people into the fold or I'll have to give back the part of Einstein's brain I inherited. No, I'm not one of the Scientists who got a piece of his brain when he died. Karma said, "Eat this knowledge. It'll make you smarter!" The bargain I made with Karma was, if I could change fifty people into Politiores Populos, I would be rewarded with my very own Lamborghini. So, that's my story and I'm sticking to it! Like what you're reading, then read on. P.S. Populo is Latin for people. Politiores is Latin for educated. Troglodytes is English for troglodytes. And Einstein's brain was stolen by Thomas Stoltz Harvey after his death in 1955 and eventually divvied up into 240 pieces. If you just read that last sentence, then you have just learned something and I'm just that much closer to fulfilling my commitment to Karma!

Wednesday, October 2, 2019

Mikulski Archive For Space Telescopes

You know I love science.
Especially about
Outer Space.
The
Stars,
the newly discovered
Exoplanets,
and the little green
Aliens.
Well,
we haven't found any
Aliens
yet,
but if you are interested in looking at the
Data
for yourself coming from telescopes like
K2,
and
HST,
have I found a website for you!
It's called
Or the
Mikulski Archive For Space Telescopes.
Here is an example of what you will find on this site.
This is a picture taken by the
HST,
or the
Hubble Space Telescope.
Map of HST observations
It's a collection of everything the
Hubble Telescope
has seen so far.
But if you are a really
Geeky
kind of person,
you will also see a lot of this kind of stuff.

>>> from astroquery.mast import Observations

>>> obs_table = Observations.query_object("M8",radius=".02 deg")
>>> data_products_by_obs = Observations.get_product_list(obs_table[0:2])
>>> print(data_products_by_obs)

  obsID    obs_collection ...          productFilename             size
---------- -------------- ... ---------------------------------- --------
3000007760            IUE ...                  lwp13058.elbll.gz   185727
3000007760            IUE ...                  lwp13058.elbls.gz   183350
3000007760            IUE ...                   lwp13058.lilo.gz   612715
3000007760            IUE ...                  lwp13058.melol.gz    12416
3000007760            IUE ...                  lwp13058.melos.gz    12064
3000007760            IUE ...                    lwp13058.raw.gz   410846
3000007760            IUE ...                   lwp13058.rilo.gz   416435
3000007760            IUE ...                   lwp13058.silo.gz   100682
3000007760            IUE ...                       lwp13058.gif     8971
3000007760            IUE ...                   lwp13058.mxlo.gz    18206
3000007760            IUE ...               lwp13058mxlo_vo.fits    48960
3000007760            IUE ...                       lwp13058.gif     3967
9500243833             K2 ...    k2-tpf-only-target_bw_large.png     9009
9500243833             K2 ... ktwo200071160-c91_lpd-targ.fits.gz 39930404
9500243833             K2 ... ktwo200071160-c92_lpd-targ.fits.gz 62213068
9500243833             K2 ...    k2-tpf-only-target_bw_thumb.png     1301

>>> obsids = obsTable[0:2]['obsid']
>>> data_products_by_id = Observations.get_product_list(obsids)
>>> print(data_products_by_id)

  obsID    obs_collection ...          productFilename             size
---------- -------------- ... ---------------------------------- --------
3000007760            IUE ...                  lwp13058.elbll.gz   185727
3000007760            IUE ...                  lwp13058.elbls.gz   183350
3000007760            IUE ...                   lwp13058.lilo.gz   612715
3000007760            IUE ...                  lwp13058.melol.gz    12416
3000007760            IUE ...                  lwp13058.melos.gz    12064
3000007760            IUE ...                    lwp13058.raw.gz   410846
3000007760            IUE ...                   lwp13058.rilo.gz   416435
3000007760            IUE ...                   lwp13058.silo.gz   100682
3000007760            IUE ...                       lwp13058.gif     8971
3000007760            IUE ...                   lwp13058.mxlo.gz    18206
3000007760            IUE ...               lwp13058mxlo_vo.fits    48960
3000007760            IUE ...                       lwp13058.gif     3967
9500243833             K2 ...    k2-tpf-only-target_bw_large.png     9009
9500243833             K2 ... ktwo200071160-c91_lpd-targ.fits.gz 39930404
9500243833             K2 ... ktwo200071160-c92_lpd-targ.fits.gz 62213068
9500243833             K2 ...    k2-tpf-only-target_bw_thumb.png     1301

>>> print((data_products_by_obs == data_products_by_id).all())
True
 
So hop onboard.
Maybe you'll discover an
Atmosphere
on an
Exoplanet
by deciphering all the data.
There is so much data to go through that
NASA Scientists
can't go through it all!
This is,
After The Wall,
I Am Going To Build A Dome.
No Little Green Aliens Are Getting Into This Country Without Getting A Green Card!
Jim Hauenstein,

And,

“If the government is covering up knowledge of aliens, they are doing a better job of it than they do at anything else.”
- Stephen Hawking -

 
That is my story and I am sticking to it!

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