As with every space-based instrument, the data that will be obtained by ARIEL will be analysed by a dedicated pipeline to produce the higher level data products. The efficiency of this pipeline is very important for the mission, as it will have a direct impact on the quality of the data products delivered and on the delivery timeline.

With the ARIEL Data Analysis Challenge, we invite you to take part in the optimisation of the ARIEL data analysis processes.

The Data

For this exercise, we use data produced by ExoSim, considering the most up-to-date design of ARIEL. The data provided are equivalent to ARIEL DATA LEVEL 1 (equivalent to the RAW data available for HST observations – i.e. spectral images that have not been processed).

Three simulated ARIEL transit observations are provided, aiming to capture the different behaviour of bright and faint sources. These simulations are:

  • GJ1214b: a GJ1214b-like planet orbiting a GJ1214-like star
  • HD209458b: an HD209458b-like planet orbiting an HD209458-like star
  • FHD209458b: an HD209458b-like planet orbiting an HD209458-like star but fainter (9th magnitude at K band)


The Task

It's any easy one! You need to produce final data products - i.e. to estimate the transit depth as a function of wavelength, the mid-transit time, the orbital inclination and the orbital semimajor axis relatively to the stellar radius.


Feedback and future challenges

This is only the first round of the ARIEL Data Analysis Challenge. The noise sources listed above are those that we are sure about their existence and we model in the current simulations. However, once you are familiar with the data format, we would like to hear your feedback on other potential systematics, and try to include these in the next rounds of the challenge.