![\"FGS1\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F11158844%2Fae2933ee621c755f15a0819e96fc579a%2FFGS1.PNG?generation=1725446170412730&alt=media\")
Hello Kaggle Community,
\nI would like to share and discuss the results I've obtained after applying signal correction techniques to the dataset provided in the competition.
Overview
\nI have performed several preprocessing steps to enhance the quality of the signal data, which included:
Dead Pixel Removal: Identified and corrected dead pixels in the signal data to avoid errors caused by non-functional pixels.
\nFlat Field Correction: Applied flat field calibration to normalize the intensity variations across the image.
\nDark Frame Subtraction: Subtracted the dark frame to account for the background noise.
\nRead Noise Correction: Corrected the read noise to ensure the signal data is as accurate as possible.
\nLinear Correction: Applied linear correction to adjust for any non-linear distortions in the signal data.Observations
Results
\nI have included a visual representation of the corrected signals below. This visualization shows the comparison between the pre-correction and post-correction states of the signal data.
I am particularly interested in confirming whether the applied corrections align with expected outcomes or if there are any anomalies that need addressing.
\nI am eager to hear your thoughts and suggestions on these points. Your feedback will be invaluable in refining the preprocessing steps and improving the overall results.
\nThank you for your time and insights!
\nNote: I did not obtain the expected result for AIRS-CH0
\n
![\"airs_ch0\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F11158844%2Febd39d2733454b3e4b97c65d25b25aad%2Fairs_ch0.PNG?generation=1725446195383821&alt=media\")
Hello Kaggle Community,
\nI would like to share and discuss the results I've obtained after applying signal correction techniques to the dataset provided in the competition.
Overview
\nI have performed several preprocessing steps to enhance the quality of the signal data, which included:
Dead Pixel Removal: Identified and corrected dead pixels in the signal data to avoid errors caused by non-functional pixels.
\nFlat Field Correction: Applied flat field calibration to normalize the intensity variations across the image.
\nDark Frame Subtraction: Subtracted the dark frame to account for the background noise.
\nRead Noise Correction: Corrected the read noise to ensure the signal data is as accurate as possible.
\nLinear Correction: Applied linear correction to adjust for any non-linear distortions in the signal data.Observations
Results
\nI have included a visual representation of the corrected signals below. This visualization shows the comparison between the pre-correction and post-correction states of the signal data.
I am particularly interested in confirming whether the applied corrections align with expected outcomes or if there are any anomalies that need addressing.
\nI am eager to hear your thoughts and suggestions on these points. Your feedback will be invaluable in refining the preprocessing steps and improving the overall results.
\nThank you for your time and insights!
\nNote: I did not obtain the expected result for AIRS-CH0
\n
You probably did something wrong with the AIRS calibration. Calibration should only have a small effect on the signal. My calibrated AIRS signal at some fixed t look like this:
\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F22043810%2F26bb7abbbd1822701b65c7ec1ff091d2%2F__results___9_1.png?generation=1725885472546575&alt=media\")
Thank you for the example. I will review my code as soon as I find time.
", "rawMarkdown": "Thank you for the example. I will review my code as soon as I find time." } ] }, { "id": 2978858, "postDate": "2024-09-04T10:56:22.620Z", "content": "Try to clip negative values at 0 before linear correction
", "rawMarkdown": "Try to clip negative values at 0 before linear correction", "votes": 2 } ], "comments": [ { "id": 2984171, "author_name": "ChingYinNg", "author_url": "", "post_date": "2024-09-09T12:39:42.327000", "content": "You probably did something wrong with the AIRS calibration. Calibration should only have a small effect on the signal. My calibrated AIRS signal at some fixed t look like this:
\n
Thank you for the example. I will review my code as soon as I find time.
", "votes": 0, "replies": [] } ] }, { "id": 2978858, "author_name": "greySnow", "author_url": "", "post_date": "2024-09-04T10:56:22.620000", "content": "Try to clip negative values at 0 before linear correction
", "votes": 2, "replies": [] } ], "raw_markdown_by_id": { "2978850": "Hello Kaggle Community,\nI would like to share and discuss the results I've obtained after applying signal correction techniques to the dataset provided in the competition.\n\nOverview\nI have performed several preprocessing steps to enhance the quality of the signal data, which included:\n\nDead Pixel Removal: Identified and corrected dead pixels in the signal data to avoid errors caused by non-functional pixels.\nFlat Field Correction: Applied flat field calibration to normalize the intensity variations across the image.\nDark Frame Subtraction: Subtracted the dark frame to account for the background noise.\nRead Noise Correction: Corrected the read noise to ensure the signal data is as accurate as possible.\nLinear Correction: Applied linear correction to adjust for any non-linear distortions in the signal data.Observations\n\nResults\nI have included a visual representation of the corrected signals below. This visualization shows the comparison between the pre-correction and post-correction states of the signal data.\n\n I am particularly interested in confirming whether the applied corrections align with expected outcomes or if there are any anomalies that need addressing.\n\nI am eager to hear your thoughts and suggestions on these points. Your feedback will be invaluable in refining the preprocessing steps and improving the overall results.\n\nThank you for your time and insights!\n\n**Note:** I did not obtain the expected result for AIRS-CH0\n\n\n\n\n\n\n\n", "2984171": "You probably did something wrong with the AIRS calibration. Calibration should only have a small effect on the signal. My calibrated AIRS signal at some fixed t look like this:\n", "2978858": "Try to clip negative values at 0 before linear correction" } }