英语听力：自然百科 穿越银河系的旅行 Through Milky Way—26
时间：2014-05-27 07:53:46
搜索关注在线英语听力室公众号：tingroom，领取免费英语资料大礼包。
（单词翻译）
So what we are looking at is a region about 200 million light years across which is actually just a small part of our really big simulation that we call Bolshoi which is Russian for big. Everything that you see here is actually completely invisible. It’s not the visible universe that you’re seeing. The bright spots are dark matter, there, the halos of dark matter within which galaxies1 form. And each one of these little blobs will represent probably one or most a couple of Milky2 Way size galaxies. And you can see that the galaxies are in long chains, filaments3 we call/ them. Basically all the structure is forming along these filaments of dark matter.
For Joe, the
assay4 test is to compare the dark matter structure Bolshoi predicts with the real thing, the structure of
galaxy5 seen in the universe.
As far as we can tell, these simulated universes that we make / in the supercomputers look just like the observed universe. They don’t seem to be any
discrepancies6 at all. This is
exactly the way we see the galaxy distributed in the observed universe.
Bolshoi simulations are incredible. They
perfectly7 match the pattern of galaxy seen in the
cosmos8 today. It’s a
persuasive9 evidence that/ dark matter has been
sculpting10 the universe for billions of years.
Now I’m really impressed with this because we stuck and that’s a way out when we made these first predictions. And they turn/ out to be right and they keep turning out to be right. And you know this is of course a great joy for a series.
By going back to the beginning of the universe,
astronomers11 have uncovered the origin of the structure of the universe.
分享到：
Error Warning!
出错了
Error page: /mobile/index.php?aid=260179&mid=3
Error infos: Got error 28 from storage engine
Error sql: select `l`.`tag`,`l`.`index`,`l`.`level_id`,`b`.`id`,`b`.`word`,`b`.`spell`,`b`.`explain`,`b`.`sentence`,`b`.`src` from `new_wordtaglist` `l` left join `new_word_base` `b` on `l`.`tag`=`b`.`word` where `l`.`arc_id`='260179' and `l`.`level_id`>='' group by `b`.`word` order by `l`.`index` asc
