Update 2024-04-04-nrao.md

CHTC · Apr 19, 2024 · 906f11a · 906f11a
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@@ -47,18 +47,6 @@ more data-intensive than most other projects,” Madsen said. The final image tu
 product of one gigabyte. A previous computing run in 2016 using only a subset of this data took nearly two weeks of active 
 processing — researchers at NRAO knew that attempting to process this entire data set in-house was impractical.
 
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-  <figure>
-<p float="left">
-  <img src="https://raw.githubusercontent.com/CHTC/Articles/main/images/nrao-dirty-image.png" alt="Unprocessed radio image, 
-    blue background with red spots." width="400" />
-  <img src="https://raw.githubusercontent.com/CHTC/Articles/main/images/nrao-clean-image.png" alt="Processed radio image, 
-    blue background with red spots." width="400" /> 
-  <figcaption class="figure-caption">The dirty image and clean image produced by NRAO, courtesy of Felipe Madsen.
-    <br/></figcaption>
-</figure>
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 Curious about how high-throughput computing (HTC) could enhance its capacity to process data from the VLA, NRAO joined 
 forces with the [Center for High Throughput Computing](https://chtc.cs.wisc.edu/) (CHTC) in 2018. After learning about 
 what HTC could accomplish, NRAO began executing trial runs in 2019, experimenting with HTC. “Four years ago, we were