# The Hyper Suprime-Cam Software Pipeline

## TL;DR

The paper presents the development of a comprehensive data processing pipeline for the Hyper Suprime-Cam instrument on the Subaru Telescope, incorporating custom algorithms and large-scale processing for high-quality imaging data reduction.

## Contribution

It introduces a customized, scalable pipeline for HSC data processing, integrating novel algorithms and adaptations from LSST's system, optimized for both specific and general observational data.

## Key findings

- Pipeline effectively reduces HSC data to produce science-ready images and catalogs.
- Incorporates novel algorithms now part of LSST codebase.
- Supports large-scale processing for extensive imaging surveys.

## Abstract

In this paper, we describe the optical imaging data processing pipeline developed for the Subaru Telescope's Hyper Suprime-Cam (HSC) instrument. The HSC Pipeline builds on the prototype pipeline being developed by the Large Synoptic Survey Telescope's Data Management system, adding customizations for HSC, large-scale processing capabilities, and novel algorithms that have since been reincorporated into the LSST codebase. While designed primarily to reduce HSC Subaru Strategic Program (SSP) data, it is also the recommended pipeline for reducing general-observer HSC data. The HSC pipeline includes high level processing steps that generate coadded images and science-ready catalogs as well as low-level detrending and image characterizations.