Tomás E. Müller Bravo

Tomás E. Müller Bravo

postdoctoral researcher

Institute of Space Sciences (ICE-CSIC)

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 am an active member of collaborations such as ePESSTO+ and POSIE.

Currently, I am 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 HostFlows project and exploring alternative methods with type II supernovae for cosmology.

For more information, check my CV.


  • Supernovae
  • Cosmology
  • Stellar Transients
  • Data Science
  • Surveys Science


  • PhD in Astronomy, 2021

    University of Southampton

  • MSc in Astrophysics, 2017

    Pontificia Universidad Católica de Chile

  • BSc in Astronomy, 2015

    Universidad de Chile



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


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


Experience with different Linux distros

Machine Learning

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


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


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


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 …

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 …

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 …

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 …

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 …

Grants, Awards & Fellowships

Juan de la Cierva-formación fellowship

Spanish fellowship for postdoctoral researchers

Best paper by a postdoctoral researcher

Best postdoc paper chosen by fellow researchers

RAS conference/meeting grant

Beca de Doctorado en el Extranjero, Becas Chile

Chilean Scholarship for PhD studies abroad

LSSTC Data Science Fellow

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.

Recent Posts

Organising my first conference (during a pandemic!)

This post was edited by Cristobel Soares. Check this link for the SEPnet version of it. Every year SEPnet provides an opportunity to a group of postgraduate researchers to organise a two-day student-led conference at the University of Southampton.

Fitting Data - Basic implementation of Python packages

In this notebook I show some basic implementation of different Python packages for data fitting. The idea is to learn the different options there are out there so the reader can then study them in more detail if needed.

Judging a book by its cover: estimating red supergiant masses from their surface abundance

See below a guest post I wrote for Astrobites. For the original one click here. Title: The surface abundances of Red Supergiants at core-collapse Authors: Ben Davies and Luc Dessart




API to download SVO filters


API to access TNS data


API to access WISeREP data


Global and local photometry of galaxies hosting supernovae or other transients


Type Ia supernova light curve fitting code

Type II supernova fitting code

Type II supernova fitting code


INT-IDS data-reduction pipeline

PESSTO data-reduction pipeline

ePESSTO+ data-reduction pipeline


Pipeline for extracting supernova light curves with TESS data

Invited Talks

Alternative standardisation of Type Ia supernovae for precise distance estimations

National Central University, Taoyuan, Taiwan,

An Overview of Supernova Cosmology

VIII Meeting on Fundamental Cosmology, Granada, Spain

Building a Type Ia Supernova Hubble Diagram with PISCoLA

Imperial College London, London, UK

Cosmology with VEILS: Building an Infrared SN Ia Hubble Diagram

Aura, La Serena, Chile

Organized Workshops and Conferences


In the new era of cosmological surveys: from precision and accuracy to tensions and anomalies

European Astronomical Society (EAS) Annual Meeting (Poland) 2023 symposium on cosmology (symposium website)

Exploring the Exploding Transients Diversity with Next-Generation Facilities

National Astronomy Meeting (UK) 2021 session on transient diversity (Session website)

Hubble Tension Workshop

Workshop to discuss the tension in the measured H0 value from different current methods (Workshop website)

The Big Data Era in Astronomy

Conference hosted at the University of Southampton (Conference website)

Software Carpentry Workshop

SCW at the Max Planck Institute for Plasma Physics (Workshop website)

Software Carpentry Workshop

SCW at the University of Southampton (Workshop website)


  • Carrer de Can Magrans, Barcelona, 08193