updated doc

Author: RafaelSdeSouza

README.md

@@ -173,8 +173,10 @@ See [NEWS.md](NEWS.md) for the `0.2.0` release summary.
 
 ## Attribution
 
-Please cite de Souza et al. (2025) if you find this code useful in your
-research. A BibTeX entry for the paper is:
+If you use the [Capivara
+code](https://github.com/RafaelSdeSouza/capivara) in your research,
+please cite the [Capivara paper](https://doi.org/10.1093/mnras/staf688).
+A BibTeX entry is:
 
     @article{desouza2025capivara,
       author = {de Souza, Rafael S. and Dahmer-Hahn, Luis G. and Shen, Shiyin and Chies-Santos, Ana L. and Chen, Mi and Rahna, P. T. and Ye, Renhao and Tahmasebzade, Behzad},
@@ -200,11 +202,13 @@ research. A BibTeX entry for the paper is:
     MaNGA Survey: Mapping Nearby Galaxies at Apache Point Observatory.”
     The Astrophysical Journal 798.1 (2015): 7. DOI:
     [10.1088/0004-637X/798/1/7](https://doi.org/10.1088/0004-637X/798/1/7)
-2.  **Capivara Methodology**: Souza, R. S. de, *et al.* (2025).
+2.  **Capivara Code**:
+    [RafaelSdeSouza/capivara](https://github.com/RafaelSdeSouza/capivara)
+3.  **Capivara Methodology**: Souza, R. S. de, *et al.* (2025).
     **CAPIVARA: A spectral-based segmentation method for IFU data
     cubes.** *Monthly Notices of the Royal Astronomical Society*,
     **539**(4), 3166–3179. <https://doi.org/10.1093/mnras/staf688>
-3.  **Torch in R**: Paszke, Adam, et al. “PyTorch: An Imperative Style,
+4.  **Torch in R**: Paszke, Adam, et al. “PyTorch: An Imperative Style,
     High-Performance Deep Learning Library.” Advances in Neural
     Information Processing Systems 2019. For more information, check the
     [Capivara GitHub

README.qmd

@@ -163,8 +163,9 @@ See [NEWS.md](NEWS.md) for the `0.2.0` release summary.
 
 ## Attribution
 
-Please cite de Souza et al. (2025) if you find this code useful in your
-research. A BibTeX entry for the paper is:
+If you use the [Capivara code](https://github.com/RafaelSdeSouza/capivara) in
+your research, please cite the
+[Capivara paper](https://doi.org/10.1093/mnras/staf688). A BibTeX entry is:
 
     @article{desouza2025capivara,
       author = {de Souza, Rafael S. and Dahmer-Hahn, Luis G. and Shen, Shiyin and Chies-Santos, Ana L. and Chen, Mi and Rahna, P. T. and Ye, Renhao and Tahmasebzade, Behzad},
@@ -187,6 +188,7 @@ research. A BibTeX entry for the paper is:
 ## References
 
 1. **MaNGA Survey**: Bundy, Kevin, et al. "Overview of the SDSS-IV MaNGA Survey: Mapping Nearby Galaxies at Apache Point Observatory." The Astrophysical Journal 798.1 (2015): 7. DOI: [10.1088/0004-637X/798/1/7](https://doi.org/10.1088/0004-637X/798/1/7)
-2. **Capivara Methodology**: Souza, R. S. de, *et al.* (2025). **CAPIVARA: A spectral-based segmentation method for IFU data cubes.** *Monthly Notices of the Royal Astronomical Society*, **539**(4), 3166–3179. [https://doi.org/10.1093/mnras/staf688](https://doi.org/10.1093/mnras/staf688)
-3. **Torch in R**: Paszke, Adam, et al. "PyTorch: An Imperative Style, High-Performance Deep Learning Library." Advances in Neural Information Processing Systems 2019.
+2. **Capivara Code**: [RafaelSdeSouza/capivara](https://github.com/RafaelSdeSouza/capivara)
+3. **Capivara Methodology**: Souza, R. S. de, *et al.* (2025). **CAPIVARA: A spectral-based segmentation method for IFU data cubes.** *Monthly Notices of the Royal Astronomical Society*, **539**(4), 3166–3179. [https://doi.org/10.1093/mnras/staf688](https://doi.org/10.1093/mnras/staf688)
+4. **Torch in R**: Paszke, Adam, et al. "PyTorch: An Imperative Style, High-Performance Deep Learning Library." Advances in Neural Information Processing Systems 2019.
 For more information, check the [Capivara GitHub webpage](https://rafaelsdesouza.github.io/capivara/).

index.qmd

@@ -127,7 +127,9 @@ fit_cube <- reconstruct_flux_preserving_cube(res_star)
 
 ## Attribution
 
-Please cite de Souza et al. if you find this code useful in your research.
+If you use the [Capivara code](https://github.com/RafaelSdeSouza/capivara) in
+your research, please cite the
+[Capivara paper](https://doi.org/10.1093/mnras/staf688).
 
 ## Dependencies
 
@@ -139,5 +141,6 @@ Please cite de Souza et al. if you find this code useful in your research.
 ## References
 
 1. **MaNGA Survey**: Bundy, Kevin, et al. "Overview of the SDSS-IV MaNGA Survey: Mapping Nearby Galaxies at Apache Point Observatory." The Astrophysical Journal 798.1 (2015): 7. DOI: [10.1088/0004-637X/798/1/7](https://doi.org/10.1088/0004-637X/798/1/7)
-2. **Capivara Methodology**: Souza, R. S. de, *et al.* (2025). **CAPIVARA: A spectral-based segmentation method for IFU data cubes.** *Monthly Notices of the Royal Astronomical Society*, **539**(4), 3166–3179. [https://doi.org/10.1093/mnras/staf688](https://doi.org/10.1093/mnras/staf688)
-3. **Torch in R**: Paszke, Adam, et al. "PyTorch: An Imperative Style, High-Performance Deep Learning Library." Advances in Neural Information Processing Systems 2019.
+2. **Capivara Code**: [RafaelSdeSouza/capivara](https://github.com/RafaelSdeSouza/capivara)
+3. **Capivara Methodology**: Souza, R. S. de, *et al.* (2025). **CAPIVARA: A spectral-based segmentation method for IFU data cubes.** *Monthly Notices of the Royal Astronomical Society*, **539**(4), 3166–3179. [https://doi.org/10.1093/mnras/staf688](https://doi.org/10.1093/mnras/staf688)
+4. **Torch in R**: Paszke, Adam, et al. "PyTorch: An Imperative Style, High-Performance Deep Learning Library." Advances in Neural Information Processing Systems 2019.