# The AKARI FIS catalogue of YSOs and extragalactic objects

## TL;DR

This paper develops a classification method for AKARI FIR sources, effectively distinguishing YSOs from extragalactic objects with high reliability, and significantly increases known YSO candidates, demonstrated on the IC348 cluster.

## Contribution

It introduces a classification approach using QDA and SVM to identify YSOs and extragalactic sources in AKARI data, improving candidate identification accuracy.

## Key findings

- High reliability in separating galactic and extragalactic sources
- Significant increase in known YSO candidates
- Effective classification demonstrated on IC348 cluster

## Abstract

The point sources in the Bright Source Catalogue of the AKARI Far-Infrared Surveyor (FIS) were classified based on their FIR and mid-IR fluxes and colours into young stellar object (YSO) and extragalactic source types using Quadratic Discriminant Analysis method (QDA) and Support Vector Machines (SVM). The reliability of the selection of YSO candidates is high, and the number of known YSO candidates were increased significantly, that we demonstrate in the case of the nearby open cluster IC348. Our results show that we can separate galactic and extragalactic AKARI point sources in the multidimensional space of FIR fluxes and colours with high reliability, however, differentiating among the extragalactic sub-types needs further information.