Final Updates for XRTpy JOSS Submission - Part 3 (#271)

* Correcting @DelZanna:2020 reference

* Adding DOI to Dere

* Fixing Sunpy reference

* Updating note

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Fixing aas code spell

* Updating ignore-wors-list-adding aas

* Updating aas

* Fix spacing

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

joss/paper.bib

@@ -27,11 +27,26 @@ @ARTICLE{Dere:1997
   author = {Dere, K. P. and Landi, E. and Mason, H. E. and Monsignori Fossi, B. C. and Young, P. R.},
   title = "{CHIANTI - An Atomic Database For Emission Lines - Paper I: Wavelengths greater than 50 Å}",
   journal = {Astronomy and Astrophysics Suppl. Set.},
-  keywords = {},
+  keywords = {ATOMIC DATA; ASTRONOMICAL DATA BASES: MISCELLANEOUS; ULTRAVIOLET: GENERAL; SUN: ATMOSPHERE; STARS: ATMOSPHERE},
   year = {1997},
-  month = {},
+  month = {October},
+  volume = {125},
+  pages = {149-173},
+  doi = {10.1051/aas:1997368},
+  adsurl = {https://ui.adsabs.harvard.edu/abs/1997A&AS..125..149D/abstract},
+  adsnote = {Available from ADS}
+}
+
+@ARTICLE{Dere:1997,
+  author = {Dere, K. P. and Landi, E. and Mason, H. E. and Monsignori Fossi, B. C. and Young, P. R.},
+  title = "{CHIANTI - An Atomic Database For Emission Lines - Paper I: Wavelengths greater than 50 Å}",
+  journal = {Astronomy and Astrophysics Supplement Series},
+  keywords = {ATOMIC DATA; ASTRONOMICAL DATA BASES: MISCELLANEOUS; ULTRAVIOLET: GENERAL; SUN: ATMOSPHERE; STARS: ATMOSPHERE},
+  year = {1997},
+  month = {October},
   volume = {125},
   pages = {149-173},
+  doi = {10.1051/aas:1997368},
   adsurl = {https://ui.adsabs.harvard.edu/abs/1997A&AS..125..149D/abstract},
   adsnote = {Available from ADS}
 }
@@ -185,14 +200,15 @@ @article{Scott:2015
 
 @article{SunPy:2020,
   title = {The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package},
-  author = {SunPy Community and Barnes, Will T. and Bobra, Monica G. and Christe, Steven D. and Freij, Nabil and Hayes, Laura A. and Ireland, Jack and Mumford, Stuart and Perez-Suarez, David and Ryan, Daniel F. and Shih, Albert Y. and (Primary Paper Contributors) and Chanda, Prateek and Glogowski, Kolja and Hewett, Russell and Hughitt, V. Keith and Hill, Andrew and Hiware, Kaustubh and Inglis, Andrew and Kirk, Michael S. F. and Konge, Sudarshan and Mason, James Paul and Maloney, Shane Anthony and Murray, Sophie A. and Panda, Asish and Park, Jongyeob and Pereira, Tiago M. D. and Reardon, Kevin and Savage, Sabrina and Sipőcz, Brigitta M. and Stansby, David and Jain, Yash and Taylor, Garrison and Yadav, Tannmay and Rajul and Dang, Trung Kien and (Sunpy Contributors)},
+  author = {SunPy Community},
   journal = {The Astrophysical Journal},
   volume = {890},
   pages = {68},
   year = {2020},
   doi = {10.3847/1538-4357/ab4f7a},
   number = {1},
-  url = {https://ui.adsabs.harvard.edu/abs/2020ApJ...890...68S/abstract}
+  url = {https://ui.adsabs.harvard.edu/abs/2020ApJ...890...68S/abstract},
+  note = {Primary Paper Contributors: Will T. Barnes, Monica G. Bobra, Steven D. Christe, Nabil Freij, Laura A. Hayes, Jack Ireland, Stuart Mumford, David Perez-Suarez, Daniel F. Ryan, Albert Y. Shih. SunPy Contributors: Prateek Chanda, Kolja Glogowski, Russell Hewett, V. Keith Hughitt, Andrew Hill, Kaustubh Hiware, Andrew Inglis, Michael S. F. Kirk, Sudarshan Konge, James Paul Mason, Shane Anthony Maloney, Sophie A. Murray, Asish Panda, Jongyeob Park, Tiago M. D. Pereira, Kevin Reardon, Sabrina Savage, Brigitta M. Sipőcz, David Stansby, Yash Jain, Garrison Taylor, Tannmay Yadav, Rajul, Trung Kien Dang, and Sunpy Contributors}
 }
 
 @article{Weberg:2023,

joss/paper.md

@@ -74,7 +74,7 @@ The package is structured into distinct modules, each serving a specific purpose
 
  - `xrtpy.response.effective_area`: XRTpy's capability to calculate effective areas for various XRT filter channels, combined with CCD contamination layer thickness information, is crucial for understanding instrumental spectral responses, as depicted in \autoref{fig:Figure 1}.
 
- - `xrtpy.response.temperature_response`: XRTpy provides the capability of computing the temperature response of all the XRT filter channels. It does this by relying on a spectral emission model, drawing from [@Narukage:2011] and [@Narukage:2014]. Users can choose from a range of CHIANTI abundance sets, including the default model with coronal abundances, hybrid, and photospheric options. \autoref{fig:Figure 2} shows XRTpy's temperature response calculations for all XRT filters across the different CHIANTI abundance sets. The CHIANTI database is described in [@Dere:1997] and the version used in XRTpy is CHIANTI version 10.0 [@Del_Zanna:2020]. Researchers have the flexibility to select the abundance model that best aligns with their research requirements.
+ - `xrtpy.response.temperature_response`: XRTpy provides the capability of computing the temperature response of all the XRT filter channels. It does this by relying on a spectral emission model, drawing from [@Narukage:2011] and [@Narukage:2014]. Users can choose from a range of CHIANTI abundance sets, including the default model with coronal abundances, hybrid, and photospheric options. \autoref{fig:Figure 2} shows XRTpy's temperature response calculations for all XRT filters across the different CHIANTI abundance sets. The CHIANTI database is described in [@Dere:1997] and the version used in XRTpy is CHIANTI version 10.0 [@DelZanna:2020]. Researchers have the flexibility to select the abundance model that best aligns with their research requirements.
 
  - `xrtpy.response.temperature_from_filter_ratio`: This module contains the `temperature_from_filter_ratio` function, which derives temperature and emission measure maps for a pair of images using the filter ratio method. \autoref{fig:Figure 3} illustrates an example usage of this function.
 

pyproject.toml

@@ -191,7 +191,8 @@ ons,
 sav,
 te,
 tne,
-ue
+ue,
+aas
 """
 
 [tool.pytest.ini_options]