{ "id": 586229, "title": "Resources and Previous Discussions", "url": "/competitions/ariel-data-challenge-2025/discussion/586229", "author_name": "Gordon Yip", "post_date": "2025-06-25T15:14:45.819000", "votes": 28, "comment_count": 2, "views": 0, "content": "

Since this year is built upon last year's competition, we have curated a list of resources so that it is easier for you to navigate.

\n

To help you get started, we have compiled a list of materials. Most of them are coming from last year We will be updating the list if we think there are any knowledge gaps we should address:

\n
    \n
  1. What is a transit? : A simple explanation here:
    2. \n
  2. What is 'transit depth' and a spectrum? -- The Exoplanet Handbook (Perryman 2018) gives a good overview of transit and spectroscopy (Chap. 6, Sec. 6.12 and Chap. 11, 11.6), alternatively, have a look at Winn (2010)
    3. \n
  3. What is an observation? What is a light curve? -- The Science session gives a nice introduction to the topic, of course, the Ariel redbook is useful on that as well.
    4. \n
  4. Publications that could be useful -- link
    5. \n
  5. From the instrument team: De-jittering Ariel: An optimized algorithm, ExoSim2
    6. \n
  6. Understanding Calibration Data in Our Simulations
    7. \n
  7. Differences between Train - test distribution. Long story short, yes, certain aspects of the test data distribution are deliberately made different from the training set. So don't be too surprised if your local score is different from your leaderboard score. We follow the same philosophy as outlined here, section 2.2.1
    8. \n
  8. Notebook on calibrating observations.
    9. \n
  9. Starter Solution - coming soon
    10. \n
  10. Social Media handle: linktree
    11. \n
  11. Follow us on YouTube
    12. \n
  12. Take our survey please!!
    13. \n
\n

Good Luck!

", "messages": [ { "id": 3232311, "postDate": "2025-06-25T15:14:45.820Z", "content": "

Since this year is built upon last year's competition, we have curated a list of resources so that it is easier for you to navigate.

\n

To help you get started, we have compiled a list of materials. Most of them are coming from last year We will be updating the list if we think there are any knowledge gaps we should address:

\n
    \n
  1. What is a transit? : A simple explanation here:
    2. \n
  2. What is 'transit depth' and a spectrum? -- The Exoplanet Handbook (Perryman 2018) gives a good overview of transit and spectroscopy (Chap. 6, Sec. 6.12 and Chap. 11, 11.6), alternatively, have a look at Winn (2010)
    3. \n
  3. What is an observation? What is a light curve? -- The Science session gives a nice introduction to the topic, of course, the Ariel redbook is useful on that as well.
    4. \n
  4. Publications that could be useful -- link
    5. \n
  5. From the instrument team: De-jittering Ariel: An optimized algorithm, ExoSim2
    6. \n
  6. Understanding Calibration Data in Our Simulations
    7. \n
  7. Differences between Train - test distribution. Long story short, yes, certain aspects of the test data distribution are deliberately made different from the training set. So don't be too surprised if your local score is different from your leaderboard score. We follow the same philosophy as outlined here, section 2.2.1
    8. \n
  8. Notebook on calibrating observations.
    9. \n
  9. Starter Solution - coming soon
    10. \n
  10. Social Media handle: linktree
    11. \n
  11. Follow us on YouTube
    12. \n
  12. Take our survey please!!
    13. \n
\n

Good Luck!

", "rawMarkdown": "Since this year is built upon last year's competition, we have curated a list of resources so that it is easier for you to navigate. \n\nTo help you get started, we have compiled a list of materials. Most of them are coming from last year We will be updating the list if we think there are any knowledge gaps we should address:\n\n1. What is a transit? : A simple explanation [ here]( https://exoplanets.nasa.gov/alien-worlds/ways-to-find-a-planet/?intent=021#/2): \n2. What is 'transit depth' and a spectrum? -- The Exoplanet Handbook (Perryman 2018) gives a good overview of transit and spectroscopy (Chap. 6, Sec. 6.12 and Chap. 11, 11.6), alternatively, have a look at [Winn (2010) ](https://arxiv.org/pdf/1001.2010v5)\n3. What is an observation? What is a light curve? -- The [Science](https://www.ariel-datachallenge.space/workshop2024/documentation/about) session gives a nice introduction to the topic, of course, the [Ariel redbook](https://sci.esa.int/documents/34022/36216/Ariel_Definition_Study_Report_2020.pdf) is useful on that as well.\n4. Publications that could be useful -- [link](https://www.kaggle.com/competitions/ariel-data-challenge-2024/discussion/528233)\n5. From the instrument team: [De-jittering Ariel: An optimized algorithm](https://arxiv.org/abs/2504.12907), [ExoSim2](https://arxiv.org/abs/2501.12809)\n6. [Understanding Calibration Data in Our Simulations](https://www.kaggle.com/competitions/ariel-data-challenge-2024/discussion/528066)\n7. Differences between Train - test distribution. Long story short, yes, certain aspects of the test data distribution are deliberately made different from the training set. So don't be too surprised if your local score is different from your leaderboard score. We follow the same philosophy as outlined [here](https://proceedings.mlr.press/v220/yip23a/yip23a.pdf), section 2.2.1\n8. [Notebook](https://www.kaggle.com/code/gordonyip/calibrating-and-binning-ariel-data) on calibrating observations.\n9. Starter Solution - coming soon\n10. Social Media handle: [linktree](https://linktr.ee/arieltelescope) \n11. Follow us on [YouTube](https://www.youtube.com/channel/UCMLTUdXBPNS_pDJcGNZoLYw)\n12. Take our [survey](https://www.kaggle.com/competitions/ariel-data-challenge-2025/discussion/586243) please!! \n\nGood Luck!", "votes": 28 }, { "id": 3238120, "postDate": "2025-07-01T15:17:49.693Z", "content": "

In From the intrument team portion , the links are not working.

", "rawMarkdown": "In From the intrument team portion , the links are not working.", "votes": 3, "replies": [ { "id": 3238690, "postDate": "2025-07-02T05:42:21.653Z", "content": "

Thanks for pointing out! Just updated the links.

", "rawMarkdown": "Thanks for pointing out! Just updated the links." } ] } ], "comments": [ { "id": 3238120, "author_name": "PARTH SACHDEVA", "author_url": "", "post_date": "2025-07-01T15:17:49.693000", "content": "

In From the intrument team portion , the links are not working.

", "votes": 3, "replies": [ { "id": 3238690, "author_name": "Gordon Yip", "author_url": "", "post_date": "2025-07-02T05:42:21.653000", "content": "

Thanks for pointing out! Just updated the links.

", "votes": 0, "replies": [] } ] } ], "raw_markdown_by_id": { "3232311": "Since this year is built upon last year's competition, we have curated a list of resources so that it is easier for you to navigate. \n\nTo help you get started, we have compiled a list of materials. Most of them are coming from last year We will be updating the list if we think there are any knowledge gaps we should address:\n\n1. What is a transit? : A simple explanation [ here]( https://exoplanets.nasa.gov/alien-worlds/ways-to-find-a-planet/?intent=021#/2): \n2. What is 'transit depth' and a spectrum? -- The Exoplanet Handbook (Perryman 2018) gives a good overview of transit and spectroscopy (Chap. 6, Sec. 6.12 and Chap. 11, 11.6), alternatively, have a look at [Winn (2010) ](https://arxiv.org/pdf/1001.2010v5)\n3. What is an observation? What is a light curve? -- The [Science](https://www.ariel-datachallenge.space/workshop2024/documentation/about) session gives a nice introduction to the topic, of course, the [Ariel redbook](https://sci.esa.int/documents/34022/36216/Ariel_Definition_Study_Report_2020.pdf) is useful on that as well.\n4. Publications that could be useful -- [link](https://www.kaggle.com/competitions/ariel-data-challenge-2024/discussion/528233)\n5. From the instrument team: [De-jittering Ariel: An optimized algorithm](https://arxiv.org/abs/2504.12907), [ExoSim2](https://arxiv.org/abs/2501.12809)\n6. [Understanding Calibration Data in Our Simulations](https://www.kaggle.com/competitions/ariel-data-challenge-2024/discussion/528066)\n7. Differences between Train - test distribution. Long story short, yes, certain aspects of the test data distribution are deliberately made different from the training set. So don't be too surprised if your local score is different from your leaderboard score. We follow the same philosophy as outlined [here](https://proceedings.mlr.press/v220/yip23a/yip23a.pdf), section 2.2.1\n8. [Notebook](https://www.kaggle.com/code/gordonyip/calibrating-and-binning-ariel-data) on calibrating observations.\n9. Starter Solution - coming soon\n10. Social Media handle: [linktree](https://linktr.ee/arieltelescope) \n11. Follow us on [YouTube](https://www.youtube.com/channel/UCMLTUdXBPNS_pDJcGNZoLYw)\n12. Take our [survey](https://www.kaggle.com/competitions/ariel-data-challenge-2025/discussion/586243) please!! \n\nGood Luck!", "3238120": "In From the intrument team portion , the links are not working." } }