@@ -50,9 +50,9 @@ made from warped spacetime.
5050 processes in the Universe, the data LIGO collects may have far-reaching
5151 effects on many areas of physics including gravitation, relativity,
5252 astrophysics, cosmology, particle physics, and nuclear physics.
53- * Crunch observed data via numerical relativity computations that involves
53+ * Crunch observed data via numerical relativity computations that involve
5454 complex maths in order to discern signal from noise, filter out relevant
55- signal and statistically estimate significance of observed data.
55+ signal and statistically estimate the significance of observed data.
5656* Data visualization so that the binary / numerical results can be
5757 comprehended.
5858
@@ -64,7 +64,7 @@ made from warped spacetime.
6464
6565 Gravitational Waves are hard to detect as they produce a very small effect
6666 and have tiny interaction with matter. Processing and analyzing all of
67- LIGO's data requires a vast computing infrastructure.After taking care of
67+ LIGO's data requires a vast computing infrastructure. After taking care of
6868 noise, which is billions of times of the signal, there is still very
6969 complex relativity equations and huge amounts of data which present a
7070 computational challenge:
@@ -150,8 +150,8 @@ title = 'Dependency graph showing how PyCBC package depends on NumPy'
150150
151151GW detection has enabled researchers to discover entirely unexpected phenomena
152152while providing new insight into many of the most profound astrophysical
153- phenomena known. Number crunching and data visualization is a crucial step
154- that helps scientists gain insights into data gathered from the scientific
153+ phenomena known. Number crunching and data visualization are crucial steps
154+ that help scientists gain insights into data gathered from scientific
155155observations and understand the results. The computations are complex and
156156cannot be comprehended by humans unless it is visualized using computer
157157simulations that are fed with the real observed data and analysis. NumPy
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