diff --git a/NASA_Spaceapps_challenge.pdf b/NASA_Spaceapps_challenge.pdf new file mode 100644 index 0000000..096739e Binary files /dev/null and b/NASA_Spaceapps_challenge.pdf differ diff --git a/README.md b/README.md index 197abda..82958eb 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,18 @@ -# Demo submission of team PL LTD DM for Nasa Space Apps Challenge 2024 - -Hi! +# Demo submission of team Space Needle PL LTD DM for Nasa Space Apps Challenge 2024 +This is the git repository containing all code, reports and results created by us. +Below are instructions on how to interpret our results. ## How to use 0. Clone repo -1. Set up the requirements -3. Download and unzip the dataset provided by the hackathon -4. Run program +1. Set up the requirements (obspy, numpy, pandas, matplotlib, tqdm, tensorflow) +3. Download and unzip the [dataset](https://www.spaceappschallenge.org/nasa-space-apps-2024/challenges/seismic-detection-across-the-solar-system/?tab=resources&fbclid=IwZXh0bgNhZW0CMTEAAR3j3CCcr5S6dvvjn8JnJqXRUx5mk3yYQKNVWNuTHY_WwA6lto3eeege_wU_aem_7v3IO2ZeLyYC4Kcg_0-JHg) provided by the hackathon into the root of the repository +4. Run any of the pyhton files in the repository root or the the jupyter notebooks in `./preprocessed/lunar/data/` + +## Results +- A writeup can be found in space_apps_2024_seismic_detection.zip +- Results against the training data can be found in training_report.json +- Estimated start of events in the testing data can be found in lunar_test_arrivals.json +- The results of the two ML algorithms implemented can be found in their respective jupyter notebooks