Tomás E. Müller Bravo

Research Fellow

Trinity College Dublin (TCD)

About me

My interestes lie in supernovae as distance indicators (cosmology), the physics of supernovae (such as explosion mechanism and progenitors), and other stellar transients in general (e.g., kilonovae, tidal disruption events, etc.). I am also interested in machine learning and coding in Python.

I am the developer of the PISCOLA transient light-curve fitter and HostPhot for galaxy photometry, and I am an active member in collaborations such as ePESSTO+, POSIE, ZTF and SAINTS.

Currently, I am a research fellow at Trinity College Dublin (TCD) and previously was a postdoctoral researcher at the Institute of Space Sciences (ICE-CSIC) in Barcelona, Spain. At the moment, my work focuses on using type Ia supernovae with near-infrared data to test the current standard cosmological model as part of the Aarhus-Barcelona Flows project and SAINTS collaboration.

For more information, check my CV.

Interests

Supernovae
Cosmology
Stellar Transients
Data Science
Surveys Science

Education

PhD in Astronomy, 2021

University of Southampton
MSc in Astrophysics, 2017

Pontificia Universidad Católica de Chile
BSc in Astronomy, 2015

Universidad de Chile

Skills

Python

Advance coding with Python (pandas, astropy, scikit-learn, etc.) including open-source software development and JOSS referee

Statistics

Experience with different data-analysis and statistical tools (e.g., Bayesian analysis)

Linux

Experience with different Linux distros

Machine Learning

Machine and deep learning for regression, outlier detection, classification, etc. Former LSSTC Data Science Fellow

Languages

Spanish (native), English (fluent), French (basic) and Catalan (basic)

Drums

I love playing the drums, it is one of my hobbies. Checkout my band Time Illusions!

Publications

For a complete list of ADS publications I have been involved with, click here.

Testing the Homogeneity of Type Ia Supernovae in the Near-Infrared for Accurate Distance Estimations

Since the discovery of the accelerating expansion of the Universe more than two decades ago, Type Ia Supernovae (SNe~Ia) have been …

Tomás E. Müller-Bravo, Lluís Galbany, Emir Karamehmetoglu et al.

PDF DOI ADS

HostPhot: global and local photometry of galaxies hosting supernovae or other transients

Type Ia supernovae (SNe Ia) have assumed a fundamental role as cosmological distance indicators since the discovery of the accelerating …

Tomás E. Müller-Bravo, Lluís Galbany

PDF DOI ADS

PISCOLA: a data-driven transient light-curve fitter

Forthcoming time-domain surveys, such as the Rubin Observatory Legacy Survey of Space and Time, will vastly increase samples of …

Tomás E. Müller-Bravo, Mark Sullivan, Mathew Smith et al.

PDF DOI ADS

The low-luminosity type II SN 2016aqf: A well-monitored spectral evolution of the Ni/Fe abundance ratio

Low-luminosity type II supernovae (LL SNe II) make up the low explosion energy end of core-collapse SNe, but their study and physical …

Tomás E. Müller Bravo, Claudia P Gutiérrez, Mark Sullivan et al.

PDF DOI ADS

The Nickel Mass Distribution of Normal Type II Supernovae

Core-collapse supernova explosions expose the structure and environment of massive stars at the moment of their death. We use the …

Müller, Tomás, Prieto, José L., Pejcha, Ondřej, Clocchiatti, Alejandro

PDF DOI ADS

Grants, Awards & Fellowships

Juan de la Cierva-formación fellowship

Agencia Estatal de Investigación Jan 2023 – Dec 2024

Spanish fellowship for postdoctoral researchers

Best paper by a postdoctoral researcher

Institute of Space Sciences Jan 2023

Best postdoc paper chosen by fellow researchers

RAS conference/meeting grant

Royal Astronomical Society Jun 2019

Beca de Doctorado en el Extranjero, Becas Chile

Agencia Nacional de Investigación y Desarrollo Nov 2017 – Oct 2021

Chilean Scholarship for PhD studies abroad

LSSTC Data Science Fellow

LSSTC Data Science Fellowship program Aug 2016 – Aug 2018

The LSSTC Data Science Fellowship program is a two year training program, designed to teach skills required for LSST science that are not easily addressed by current astrophysics programs.