Search and classification the fermi catalog source

u3527273 - Posted on 22 September 2017

Project Description:

Classification the fermi catalog source using machine learning algorithm like random forest and logistic regression.

Researcher name:

Pablo Saz Parkinson

Researcher position:

research assistant professor

Researcher department:

Department of Physics

Researcher email:

pablosp@hku.hk

Research Project Details

Project Duration:

09/2017 to 09/2018

Project Significance:

Find the nature unassociated Fermi point sources using machine learning which is very useful since the amount of data will be huge in the future.

Remarks:

Using HPC can generate light curve of point source and it act as a important feature to identify a point source to be pulsar of AGN

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