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Events

eSSENCE/DATA Theme Hack Day

Övrigt

From: 2018-05-30 14:00 To: 2018-05-31 15:30
Place:Pufendorf Institute for Advanced Studies, Biskopsgatan 3, Lund
Contact:mbd@astro.lu.se


eSSENCE will host a Hack Day together with the DATA Theme at the Pufendorf Institute of Advanced Studies

General

Hack days are informal gatherings where people come together to work in groups on particular problems introduced by some of the delegates. The goal is to find viable ways to solve problems of particular interest to those attending and also to go as far as possible in the implementation. The result can be anything from a conceptual approach to the design of an algorithm or workflow to a finished piece of software. In other words, the hack days are a way to connect people with different skill sets to join forces under the heading of e-Science.

Participants will have an opportunity to submit problems before the event. The hack days will begin with brief presentations of the selected problems by those who proposed them. The participants then organise themselves into groups and the rest of the first day is spent in these groups, discussing solutions.

The next day starts with a general gathering where each group presents a status report with the possibility to get input from the rest of the audience. The day continues with the work in groups and ends with another general gathering where the groups report on the progress they have made and what is left to do.

Practicalities

Coffee and tea will be served both days and a light lunch will be served on the second day, free of charge, but the participants will need to organise their own travel and accommodation as well as any other meals at their own expense. 

Registration

To register, please send an email to mbd [at] astro [dot] lu [dot] se with the subject "Hack Day 30 May Registration" no later than noon on Thursday 24 May. Note that space is limited, so early registration is encouraged to avoid disappointment.

Hack-day Problems

A) Where to put one’s data

Michael Witt, Purdue University

Michael Witt is building a data repository recommendation tool that leverages structured information in a registry of data repositories known as re3data. A researcher has produced a dataset and needs guidance to identify a data repository that is appropriate for their domain and type of data and that will accept it.

The tool’s design document describes a web-based tool that will ask the researcher four questions and based on their answers return results from re3data that are relevant to them.

HACK CHALLENGE: design an algorithm for determining and ranking relevant results.


B) Tracking problem

Kalle Åström, Mathematics

There are many algorithms for detecting and locating objects in one image (one frame) of a video. Typically there are sometimes missing detections, double detections and false detections. How should one connect the correct detections over time, while throwing away false detections and being robust to missing detections?  Input varies. For each detection there is a time stamp and there could be information about positions, sizes, classes of objects, possibly other features.


C) Identifying groups in output from N-body simulations

Ross Church, Astronomy & Theoretical Physics

Stars are formed in groups or clusters. We perform N-body simulations following the evolution of such systems. Close encounters between stars in clusters transfer energy, leading to the ejection of some of the stars. Binaries and triples (three stars bound together) may also form through dynamical encounters. We wish to have software which looks at the output of N-body runs of a small number of stars (10-30) and automatically identifies the bound, sub-systems of stars and the multiple stars (binaries, triples) within each sub-system.

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