SamBa TimeS

Friday 5 Apr 2024, 09:00 → 23:00 America/Sao_Paulo

Florian Eppel (JMU Würzburg), Luan Orion Baraúna (National Institute for Space Research), Sarah Wagner (Uni Wü), Sjoerd Bouma (ECAP)

São Paulo meets Bavaria - A Time Series Workshop

Although the underlying physics may be very different, similar challenges arise in time series analysis in various areas of astrophysics. The SamBa TimeS workshop aims to facilitate an intensive and dynamic exchange of algorithmic tools developed for radio, multi-wavelength and radio neutrino astronomy. 

The workshop is hosted at the National Instituto of Space Research São Paulo (INPE). It is organized by a joint team from ECAP (Germany), JMU Würzburg (Germany) and INPE (Brazil) and is targeted to master and PhD students. Bachelor students and Post-Docs are also welcome to join. The one-day program consists of talks on basic principles of time series analysis (i.e. basic time series features, extractions, data denoising, forecasting, machine learning classical tools, deep learning classifications, bayesian block analysis), followed by hands-on sessions to share our knowledge and software tools within the participating institutions.

Some of the problems that will be discussed include:

• Fast Radio Burst (FRB) detection methods and RFI classification: The detection and processing of transient radio data is a major challenge in radio astronomy and both sides of the collaboration will profit from joint analysis tools that can be deployed for the BINGO and Effelsberg telescopes to perform searches for new Fast Radio Bursts. We will improve existing tools and expand them using Machine Learning (ML) methods which will contribute to the on-going search for the progenitor of FRBs.
• Multi-wavelength light curve analysis: Our team has immediate access to radio, X-ray and $\gamma$-ray data of variable AGN sources. We are aiming to study variability properties (modulation index, periodicity) of these sources and perform multi-wavelength cross-correlation studies to constrain emission models in AGN.
• Pulse identification of radio neutrino signals: The identification of neutrino signals for in-ice radio neutrino observatories (RNO-G, IceCube-Gen2) in noisy data is a major challenge for both reconstruction and background rejection. We will attempt to use deep-learning methods to improve on existing approaches to this problem.

SamBa TimeS Presentations: Time series in astronomy research

Prompt: How does time series analysis relate to your research, how do you implement this analysis, and what other methods could be be useful for you?

1 Introduction

Speakers: Florian Eppel (JMU Würzburg), Luan Orion Baraúna (PhD Candidate), Sarah Wagner (Uni Wü), Sjoerd Bouma (ECAP)

2 Participant Talks

3 Participant Talk

11:00 Coffee Break

4 Luans Presentation

Speaker: Luan Orion Baraúna (PhD Candidate)

5 Flos Presentation

Speaker: Florian Eppel (JMU Würzburg)

6 Sjoerds Presentation

Speaker: Sjoerd Bouma (ECAP)

Signal_identification_correlation_SBouma.pdf

7 Sarahs Presentation

Speaker: Sarah Wagner (Uni Wü)

13:00 Lunch Break

We go for lunch somewhere

SamBa TimeS Workshop: Hands on Sessions

Hands on sessions where we go into detail about our code and provide tutorials.

8 RFI mitigation and Transient detection in Radio Data

Speakers: Florian Eppel (JMU Würzburg), Luan Orion Baraúna (PhD Candidate)

15:00 break and questions

9 Multi-wavelength light curve analysis

Speakers: Florian Eppel (JMU Würzburg), Luan Orion Baraúna (PhD Candidate), Sarah Wagner (Uni Wü)

16:30 break and questions

10 Pulse identification of radio neutrino signals

Speakers: Luan Orion Baraúna (PhD Candidate), Sjoerd Bouma (ECAP)

18:00 Downtime in Hotel

19:00 SamBa TimeS: Dinner and Cultural Evening

Maybe we have a BBQ and/or we have a Samba lesson etc.