Fix typo

paper/JOSS_muler_overview_0/paper.md

@@ -43,7 +43,7 @@ bibliography: paper.bib
 
 # Summary
 
-Modern astronomical échelle spectrographs produce information-rich 2D echellograms that undergo standard reduction procedures to produce extracted 1D spectra. The final post-processing steps of these 1D spectra are often left to the end-user scientists, since the order of operations and algorithm choice may depend on the scientific application. Implementing these post-processing steps from scatch acts as a barrier to entry to newcomers, taxes scientific innovation, and erodes scientific reproducibility. Here we assemble and streamline a collection of spectroscopic data analysis methods into a single easy-to-use Application Programming Interface (API), `muler`. The `specutils`-based fluent interface enables method chaining that yields compact 1-line code for many applications, a dramatic reduction in complexity compared to existing industry practices. When applicable, some algorithms are customized to the pipeline data products of three near-infrared spectrographs: HPF, Keck NIRSPEC, and IGRINS. The framework could be extended to other spectrographs in the future. The tutorials in `muler` may also serve as a central onboarding point for new entrants to the practice of near-infrared échelle spectroscopy data. The open-source permissively licensed Python 3 implementation lowers the barrier to entry and accelerates the investigation of astronomical spectra. 
+Modern astronomical échelle spectrographs produce information-rich 2D echellograms that undergo standard reduction procedures to produce extracted 1D spectra. The final post-processing steps of these 1D spectra are often left to the end-user scientists, since the order of operations and algorithm choice may depend on the scientific application. Implementing these post-processing steps from scratch acts as a barrier to entry to newcomers, taxes scientific innovation, and erodes scientific reproducibility. Here we assemble and streamline a collection of spectroscopic data analysis methods into a single easy-to-use Application Programming Interface (API), `muler`. The `specutils`-based fluent interface enables method chaining that yields compact 1-line code for many applications, a dramatic reduction in complexity compared to existing industry practices. When applicable, some algorithms are customized to the pipeline data products of three near-infrared spectrographs: HPF, Keck NIRSPEC, and IGRINS. The framework could be extended to other spectrographs in the future. The tutorials in `muler` may also serve as a central onboarding point for new entrants to the practice of near-infrared échelle spectroscopy data. The open-source permissively licensed Python 3 implementation lowers the barrier to entry and accelerates the investigation of astronomical spectra. 
 
 # Statement of need
 
@@ -78,4 +78,4 @@ In principle, `muler` could be extended with devoted classes for other échelle
 
 This material is based upon work supported by the National Aeronautics and Space Administration under Grant Numbers 80NSSC21K0650 for the NNH20ZDA001N-ADAP:D.2 program, and 80NSSC20K0257 for the XRP program issued through the Science Mission Directorate.  C.V.M., J.L., and M.A.G-S. acknowledge the National Science Foundation, which supported the work presented here under Grant No. 1910969.  This research has made use of NASA's Astrophysics Data System Bibliographic Services. 
 
-# References
+# References