表达谦虚的成语引力波官方论文中英对照
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10?5 10?4 10?3 10?2 10?1 100 101 102
Number of events
/ /
GW150914
Generic transient arch电脑清洗
Search Result (C3) Search Background (C3) Search Result (C2+C3) Search Background (C2+C3) 2x 3x 4x 5.1x > 5.1x 2x 3x 4x 5.1x > 5.1x
8 10 12 14 16 18 20 22 24
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Detection statistic ?vc
10?8 10?7 10?6 10?5 10?4 10?3 10?2 10?1 100 101 102 Number of events
GW150914
Binary coalescence arch
怎么养发10?5 10?4 10?3 10?2 10?1 一百一百零一一百零二事件数?/ / gw150914 通用暂态搜索搜索结果（C3）研究背景（C3）
搜索结果（C2 + C3）研究背景（C2 + C3）2X 3X 4X 5.1倍> 5.1倍2X 3X 4X 5.1倍> 5.1倍10 12 14 16 18 20 22 24 8 检测统计?VC 10?8 10?7 10?6 10?5 10?4 10?3 10?2 10?1 一百一百零一一百零二事件数gw150914 二元聚结
Search Result Search Background
Background excluding GW150914
FIG. 4. Search results from the generic transient arch (left) and the binary coalescence arch (right). The histograms show
the number of candidate events (orange markers) and the mean number of background events (black lines) in the arch class where
GW150914 was found as a function of the arch detection statistic and with a bin width of 0:2. The 搜索结果搜索背景
背景gw150914除外
图4。搜索结果从通用的瞬态搜索（左）和二元聚结搜索（右）。这些直方图显示
在搜索类中的候选事件（橙色标记）和背景事件的平均数（黑线）
gw150914发现作为一个搜索检测统计功能以0:2 bin宽度。上面的鳞片给scales on the top give the
significance of an event in Gaussian standard deviations bad on the corresponding noi background . The significance of GW150914
is greater than 5:1 _ and 4:6 _ for the binary coalescence and the generic transient arches, respectively. Left: Along with the
primary arch (C3) we also show the results (blue markers) and background (green curve) for an alternative arch that treats events
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independently of their frequency evolution (C2+C3). The class C2 and C3 are defined in the text. Right: The tail in the blackline
background of the binary coalescence arch is due to random coincidences of GW150914 in one detector with noi in the other
detector. (This type of event is practically abnt in the generic transient arch background becau they do not pass the time-frequency
consistency requirements ud in that arch.) The purple curve is the background excluding tho coincidences, which is ud to asss the significance of the cond strongest event.
subtracted from the data. The statistic _c thus quantifies the SNR of the event and the consistency of the data between the two detectors.
Bad on their time-frequency morphology, the events are divided into three mutually exclusive arch class, as described in [41]: events with time-frequency morphology of known populations of noi transients (class C1); events with frequency that increas with time (class C3); and all remaining events (class C2).
Detected with _c = 20:0, GW150914 is the strongest
了
一种基于相应噪声背景的高斯标准偏差事件的意义。gw150914的意义
大于5:1 _和4:6 _为二进制聚结和一般的瞬时搜索，分别。左：随着
元搜索引擎（C3）我们也显示结果（蓝色标记）和背景（绿色曲线）寻找替代治疗事件
独立的频率演变（C2 + C3）。类C2和C3在文本的定义。
右：在黑色的尾巴
的二进制搜索的背景是一个检测器，并对gw150914随机的巧合由于与其他噪声
探测器。（这种类型的事件实际上是不存在的，在一般的瞬态搜索背景，因为他们不通过时频
一致性要求用于搜索。）紫色曲线的背景排除巧合，这是用来评估
第二个最强事件的意义。
从数据中减去。统计_c从而量化事件信噪比与数据的一致性双检测器。
如何申请营业执照基于它们的时频形态学特征
分为三个相互排斥的搜索类，作为描述在[ 41 ]：事件与时间-频率形态已知的瞬态噪声的人群（C1类）；事件频率随时间增加（C3）；和剩余的事件（C2类）。
与_c = 20:0的检测，gw150914是最强的
event of the entire arch. Consistent with its coalescence signal signature, it is found in the arch class C3 of events with increasing time-frequency evolution. Measured on a background equivalent to over 67 400 years of data and including a trials factor of 3 to account for the arch class, its fal alarm rate is lower than 1 in 22 500 years. This corresponds to a probability The lection criteria that
