Ok, here are some Python codes I wrote (from three years ago) to deal with the internal data release of Hyper Suprime-Cam Subaru Strategic Program while I was a post-doc at IPMU.

After selling my soul to IDL for my entire PhD, I started to learn Python by working on HSC data. So, yes, I am embarrassed by these codes, and I am slowly turning into more Python-like style.

These codes are used in the following publications:

• Individual Stellar Halos of Massive Galaxies Measured to 100 kpc at 0.3<z<0.5 using Hyper Suprime-Cam
• A Detection of the Environmental Dependence of the Sizes and Stellar Haloes of Massive Central Galaxies (Submitted)

If you have access to the internal HSC data, these codes can help you generate cutout images, make three-color pictures, figure out which part of the data is useful.

They can also help you perform old-fashion 1-D photometry or fit galaxy using GALFIT.

It is highly recommended that you stay out of this mess, but if somehow you are convinced that they can be used to you, please feel free to let me know.

If you want to use HSC data, and you are patient enough, I am also learning how to write (somewhat) decent Python packages to:

1. Search and download public- or internal HSC data: unagi
2. Photometry for single galaxy: kungpao

• Comments or advice or help are highly welcomed!
• And, yes, I name all my codes with my favorite food, and they are acronym of nothing.