Projects

Choose among these 7 projects

Determining galaxy properties with PAUS using machine learning

Martin Børstad Eriksen, Malgorzata Siudek, Observational Cosmology group

PAUS is state-of-the-art ongoing galaxy survey, using a custom instrument with 40 narrow bands. This allows for high precision distance determination. These data are also expected to give novel insight into galaxy properties, e.g. type, as a function of cosmic time. The student will work on machine learning (ML) approaches, either unsupervised or supervised, to explore these data. The student will have the chance to learn about machine learning techniques and data handling. A solid background in programming is beneficial.


Number of students: 1

Place: IFAE




Gravitational Waves detection with the Virgo Interferometer

Mario Martinez, Lluïsa-Maria Mir, Gravitational Wave group

IFAE is a member of the VIRGO collaboration. This opens a new long-term research line in IFAE related to Gravitational Waves detection using terrestrial interferometry. A group of researches from IFAE has taken significant responsibilities in the VIRGO experiment related to the control of the stray light inside the experiment, which is considered a limiting factor for its sensitivity. In the physics analysis front, the IFAE team is developing a complete research program using LIGO/Virgo data for which a Deep Learning (DL) approach is being taken.

Project 1 Supervisor: Mario Martinez The candidate will have the opportunity to participate in the analysis of the data using a state-of-the-art DL approach together with the rest of the IFAE team.

Project 2 Supervisor: Lluisa Mir The candidate will be offered the opportunity to participate in the IFAE activities related to the construction of new detectors for Virgo, involving high-tech photosensors and sophisticated simulations of the propagation of light inside the interferometer.


Number of students: 2

Place: IFAE




Superconducting quantum computers

Pol Forn-Díaz, Quantum Computing group

Quantum algorithms consists of a set of instructions in the form of unitary operations that need to be applied to the qubits in a quantum computer. At the higher-level of a quantum programmer, these instructions are independent on the physical implementation of the quantum computer. Deep down in the hardware implementation level, the instructions become translated into physical processes taking place in the actual physical qubits. Such translation unavoidably depends on the physical system that implements a quantum computer. In our group, we operate superconducting quantum circuits. Superconducting qubits are electrical circuits behaving as artifical atoms which resonate at the microwave frequency domain. Qubit operations correspond to microwave engineered pulses which rotate the qubit state at will. One of the projects offered will focus more on the hardware side, the other on the software side.


Number of students: 2

Place: IFAE




Particle physics for the early universe and beyond

Pere Masjuan, Theory group

Particle physics play a crucial role in the evolution of the early universe but also to trigger several of the most appealing phenomena observed beyond this early moment. Based on the basic tools of Quantum Field Theory, the students will model such processes starting with Baryogenesis and going up to Nucleosynthesis and Star Formation, in a systematic way. A selection of these phenomena will be simulated using Python programming.

Within this approach, there are a number of different projects that can be developed depending on the student’s interests.


Number of students: 2

Place: IFAE




Particle Physics with the ATLAS Experiment @ the LHC

Imma Riu, Pilar Casado, ATLAS group

The student will work in the IFAE ATLAS group in topics such as:

  1. Search for charged Higgs bosons decaying into a pair of top and bottom quarks with the full Run-2 dataset of ATLAS. The student will investigate improvements on the search related to the neural network used to discriminate signal from background, specially when extrapolating it to a mass region for which no Monte Carlo simulation exists.
  2. Analysis performance of Higgs decays to a pair of tau leptons using the High Granularity Timing Detector foreseen for the ATLAS detector.


Number of students: 1

Place: IFAE




Characterization of Pixel Detectors

Sebastián Grinstein, ATLAS Pixels group

Highly segmented silicon sensors are widely used in High Energy Physics as precision tracking devices. Upgrades of the CERN experiments to high luminosities set unprecedented requirements with respect to radiation hardness and require the development of new generations of silicon detectors. The student will work at the IFAE Pixel Lab to help gain a deep understanding of the charge collection and the underlying signal formation in the silicon sensors for particle physics or medical imaging applications.


Number of students: 1

Place: IFAE




High Energy Astrophysics with the MAGIC Telescopes

Abelardo Moralejo, Gamma Ray group

The MAGIC telescopes explore the most violent phenomena of the Universe through the study of Very High Energy gamma rays, the most energetic known form of electromagnetic radiation. They are produced in the most violent, non-thermal cosmic environments and their study helps us address fundamental questions such as the nature of dark matter, the intensity and evolution of the extragalactic background light, the quantum nature of Gravity or the origin of Galactic cosmic rays. The IFAE Astroparticles group is very active in the in the physics exploitation of the MAGIC data. The students selected will be able to participate in the analysis of MAGIC observational data.


Number of students: 2

Place: IFAE