About Carpyncho


Carpyncho web client

Carpyncho, a data mining catalog browser which we hope will reutilized to search for and characterize time variable data of the ~PiB size VVV/VVVx[1] survey.

Carpyncho is being developed for the detection and classification of periodic and non-periodic (or transient variables). For this purpose the stacked pawprint data from the VDFS CASU v 1.3 catalogues have been crossed matched with the VDFS CASU v1.3 tile catalogues into a PostgreSql data-base. The Carpyncho infraestructure http://carpyncho.jbcabral.org/ is being developed entirely in python on top of a Custom-Framework for data processing[2, 3] and a Django web-framework[4] (for the webapp).

For calculation purposes Carpyncho is layered on-top of a scientific-Python library stack that includes:

  • Numpy[5], Pandas[6] & Scipy[7]: for Numerical calculations
  • Astropy[8]: for Processing of Fits tables, astrometric and photometric calculations.
  • PyAstronomy[9]: for GLS, PDM and time conversion algorithms.
  • feets[10, 11]: for feature extraction.
  • Scikit-learn[12]: for machine learning algorithms.

Help & discussion mailing list

You can contact me at: jbc.develop@gmail.com

Code Repository & Issues

https://github.com/carpyncho/web

Citation

If you use Carpyncho in a scientific publication, we would appreciate citations to the following paper:

Cabral, J. B., ... Astronomy and Computing.

Bibtex entry

    @article{
    }

Full Publication: -

References

  • [1]: Minniti, D., Lucas, P. W., Emerson, J. P., Saito, R. K., Hempel, M., Pietrukowicz, P., ... & Bandyopadhyay, R. M. (2010). VISTA Variables in the Via Lactea (VVV): The public ESO near-IR variability survey of the Milky Way. New Astronomy, 15(5), 433-443.
  • [2]: Cabral, J. B., Sánchez, B., Beroiz, M., Domínguez, M., Lares, M., Gurovich, S., & Granitto, P. (2017). Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines. Astronomy and computing, 20, 140-154.
  • [3]: Cabral, J., Sanchez, B., Beroiz, M., Dominguez, M., Lares, M., Gurovich, S., & Granitto, P. (2018). CPF: Corral Pipeline Framework. Astrophysics Source Code Library.
  • [4]: Forcier, J., Bissex, P., & Chun, W. J. (2008). Python web development with Django. Addison-Wesley Professional.
  • [5]: Van Der Walt, S., Colbert, S. C., & Varoquaux, G. (2011). The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering, 13(2), 22.
  • [6]: McKinney, W. (2012). Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.".
  • [7]: Jones, E., Oliphant, T., & Peterson, P. (2014). SciPy: Open source scientific tools for Python.
  • [8]: Robitaille, T. P., Tollerud, E. J., Greenfield, P., Droettboom, M., Bray, E., Aldcroft, T., ... & Conley, A. (2013). Astropy: A community Python package for astronomy. Astronomy & Astrophysics, 558, A33.
  • [9]: This work made use of PyAstronomy. https://github.com/sczesla/PyAstronomy
  • [10]: Cabral, J. B., Sánchez, B., Ramos, F., Gurovich, S., Granitto, P. M., & Vanderplas, J. (2018). From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. Astronomy and computing, 25, 213-220.
  • [11]: Cabral, J., Sanchez, B., Ramos, F., Gurovich, S., Granitto, P., & VanderPlas, J. (2018). feets: feATURE eXTRACTOR for tIME sERIES. Astrophysics Source Code Library.
  • [12]: Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., ... & Vanderplas, J. (2011). Scikit-learn: Machine learning in Python. Journal of machine learning research, 12(Oct), 2825-2830.

License

BSD 3-Clause License

Copyright (c) 2019, Juan Cabral All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Code of Conduct

All Carpyncho community members are expected to abide by the Astropy Project Code of Conduct.