Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile

Karim Pichara

Profesor Asociado

Especialidad: Machine Learning, Data Mining, Astro Statistics, Astro Informatics, Data Science

Departamento de Ciencia de la Computación

+562 2354 7697

Líneas de Investigación

Machine Learning, Data Mining, Astro Statistics, Astro Informatics, Data Science


@proceeding{doi:10.1117/12.2055579, author = {Gregorio, RodrigoSolar, MauricioMardones, DiegoPichara, KarimParada, VictorContreras, Ricardo}, title = {Automatic detectionautomatic classification of structures in astronomical images}, journal = {Proc. SPIE}, volume = {9152}, number = {}, pages = {91522R-91522R-7}, abstract = {The study of the astronomical structures is important to the astronomical community because it can help to identify objects, which can be classified based on their internal structure or their relation to other objects. For this reason, it is developed an automated tool to analyze astronomical images into its components. Firstly, a 2D images is decomposed into different spatial scales based on wavelet transform. Then, it is implemented a detection algorithms to each spatial scale, such as Clumpfind, Gaussclump, or Dendrogram techniques. The goal is to build a new algorithmtool that is available to the community and satisfies the requirements of the next Chilean Virtual Observatory (ChiVO).}, year = {2014}, doi = {10.1117/12.2055579}, URL = { http://dx.doi.org/10.1117/12.2055579}, eprint = {}} (2014)
Proceedings SPIE 9152
@proceeding{doi:10.1117/12.2056766, author = {Solar, MauricioFariña, WalterMardones, DiegoAntognini, JonathanPichara, KarimNagar, NeilParada, VictorIbsen, JorgeNyman, LarsMarroquin, José}, title = {Chilean virtual observatoryintegration with ALMA}, journal = {Proc. SPIE}, volume = {9150}, number = {}, pages = {91501O-91501O-10}, abstract = {The Virtual Observatories strive to interoperate, exchange datashare services as if it was only one big VO. In this work, the state of the art of VOs will be presentedsummarized in a schematic diagram with the frequency range of the observed data that every VO publishes. Chile, currently a member of the IVOA, collaborates with the Atacama Large Millimeter/submillimeter Array (ALMA), to study and propose ways to adequate the data generated by ALMA to thedifferent data model proposed by the IVOA.}, year = {2014}, doi = {10.1117/12.2056766}, URL = { http://dx.doi.org/10.1117/12.2056766}, eprint = {}} (2014)
Proceedings SPIE 9150
@INPROCEEDINGS{2011rrls.conf..145C, author = {{Catelan}, M.{Minniti}, D.{Lucas}, P.~W.{Alonso-Garc{'{i}}a}, J.{Angeloni}, R.{Beam{'{i}}n}, J.~C.{Bonatto}, C.{Borissova}, J.{Contreras}, C.{Cross}, N.{D{'e}k{'a}any}, I.{Emerson}, J.~P.{Eyheramendy}, S.{Geisler}, D.{Gonz{'a}lez-Solares}, E.{Helminiak}, K.~G.{Hempel}, M.{Irwin}, M.~J.{Ivanov}, V.~D.{Jord{'a}n}, A.{Kerins}, E.{Kurtev}, R.{Mauro}, F.{Moni Bidin}, C.{Navarrete}, C.{P{'e}rez}, P.{Pichara}, K.{Read}, M.{Rejkuba}, M.{Saito}, R.~K.{Sale}, S.~E.{Toledo}, I.}, title = "{The Vista Variables in the V{'{i}}a L{'a}ctea (VVV) ESO Public Survey: Current StatusFirst Results}", booktitle = {RR Lyrae Stars, Metal-Poor Stars, and the Galaxy}, year = 2011, archivePrefix = "arXiv", eprint = {1105.1119}, primaryClass = "astro-ph.GA", editor = {{McWilliam}, A.}, month = aug, pages = {145}, adsurl = {http://adsabs.harvard.edu/abs/2011rrls.conf..145C}, adsnote = {Provided by the SAO/NASA Astrophysics Data System}} (2012)
RR Lyrae Stars, Metal-Poor Stars, and the Galaxy 5 145


  • Magister en Ciencias de la Ingeniería, Pontificia Universidad Católica de Chile
  • PhD, Pontificia Universidad Católica de Chile


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