Young-Lo Kim

Lee Wonchul Fellow & Research Professor

Yonsei University
Country flagSouth Korea

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Young-Lo Kim is a Lee Wonchul Fellow and Research Professor at Yonsei University, South Korea. His research primarily focuses on transient spectral classification, Type Ia supernovae, and the application of deep learning in astrophysics. Recent publications include studies on the properties of low-mass host galaxies, the accuracy of spectral classification tools, and the environments of supernova progenitor stars.

Articles (10)

Year:

2025

Year:

2025

The environmental dependence of Type Ia supernova (SN Ia) luminosities is well established, and efforts are being made to find its origin. Previous studies typically use the currently observed status of the host galaxy. However, given the delay time between the birth of the progenitor star and the SN Ia explosion, the currently observed status may differ from the birth environment of the SN Ia progenitor star. In this paper, employing the chemical evolution and accurately determined stellar population properties of 44 early-type host galaxies, we, for the first time, estimate the SN Ia progenitor star birth environment, specifically [Fe/H]Birth and [α/Fe]Birth. We show that [α/Fe]Birth has a $30.4^{\text{+10.6}}_{-10.1}{{\ \rm per\ cent}}$ wider range than the currently observed [α/Fe]Current, while the range of [Fe/H]Birth is not statistically different ($17.9^{\text{+26.0}}_{-27.1}{{\ \rm per\ cent}}$) to that of [Fe/H]Current. The birth and current environments of [Fe/H] and [α/Fe] are sampled from different populations (p-values of the Kolmogorov–Smirnov test <0.01). We find that light-curve fit parameters are insensitive to [Fe/H]Birth (<0.9σ for the non-zero slope), while a linear trend is observed with Hubble residuals (HRs) at the 2.4σ significance level. With [α/Fe]Birth, no linear trends (<1.1σ) are observed. Interestingly, we find that [α/Fe]Birth clearly splits the SN Ia sample into two groups: SN Ia exploded in [α/Fe]Birth-rich or [α/Fe]Birth-poor environments. SNe Ia exploded in different [α/Fe]Birth groups have different weighted-means of light-curve shape parameters: 0.81 ± 0.33 (2.5σ). They are thought to be drawn from different populations (p-value = 0.01). Regarding SN Ia colour and HRs, there is no difference (<1.0σ) in the weighted-means and distribution (p-value > 0.27) of each [α/Fe]Birth group.

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Recent studies on the environmental dependence of Type Ia supernova (SN Ia) luminosity focus on the local environment where the SN exploded, considering that this is more directly linked to the SN progenitors. However, there is a debate about the local environmental, specifically local star formation rate (SFR), dependence of the SN Ia luminosity. A recent study claims that the dependence is insignificant (0.051 ± 0.020 mag; 2.6σ), based on the local SFR measurement by fitting local ugrizy photometry data. However, we find that this photometric local SFR measurement is inaccurate. We argue this based on the theoretical background of SFR measurement and the methodology used to make that claim with their local ugrizy photometry data, especially due to a limited range of extinction parameters used when fitting the data. Therefore, we reanalyse the same host galaxies with the same fitting code, but with more physically motivated extinction treatments and global ugriz photometry of host galaxies. We estimate global stellar mass and SFR. Then, local star formation environments are inferred by using the method which showed that SNe Ia in globally passive galaxies have locally passive environments, while those in globally star-forming low-mass galaxies have locally star-forming environments. We find that there is significant local environmental dependence of SN Ia luminosities: SNe Ia in locally star-forming environments are 0.072 ± 0.021 mag (3.4σ) fainter than those in locally passive environments, even though SN Ia luminosities have been further corrected by the BEAMS with Bias Corrections method that reduces the size of the dependence.

Year:

2023

Year:

2022

Year:

2021

Year:

2020

Collaborators (11)

Young-Wook Lee

Professor

Yonsei University

SOUTH KOREA
View details

Luke Davies

University of Western Australia

AUSTRALIA
View details

M Smith

Université Claude Bernard Lyon 1

FRANCE
View details

Steve Schulze

Stockholm University

SWEDEN
View details

Jon Loveday

University of Sussex

UNITED KINGDOM
View details

Georgios Dimitriadis

Lancaster University

UNITED KINGDOM
View details

Yannick Copin

Associate professor (with habilitation)

Institut de Physique des 2 Infinis de Lyon

FRANCE
View details

Yijung Kang

Stanford University

UNITED STATES
View details

Nicola Rosario Napolitano

Full Professor

University of Naples Federico II

ITALY
View details

Tayyaba Zafar

Macquarie University

AUSTRALIA
View details

Kate Maguire

Associate Professor of Astrophysics

Trinity College Dublin

IRELAND
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.