Towards an unbiased stellar census in open clusters using multi-wavelength photometry

TL;DR

This paper aims to create an accurate census of low-mass stars in open clusters across various ages and distances by combining multi-wavelength photometry to improve the understanding of their Initial Mass Function.

Contribution

It introduces a method that combines deep optical and infrared data from multiple sources to identify low-mass members and characterize their properties in open clusters.

Findings

Successful identification of low-mass members in multiple clusters.

Improved estimates of the Initial Mass Function for these clusters.

Enhanced characterization of stellar parameters for low-mass stars.

Abstract

We look for very low-mass members in open clusters with different ages placed at different distances. The main goal is to produce a reliable census of low-mass stars for each of the clusters and derive the Initial Mass Function. To achieve this, we combine deep optical and infrared photometry from our own observing runs and from different public databases. We also characterise the individual stellar parameters of our targets.