I am sorry for not participating in promised December time, but my schedule is very tight.
Finally I have found some free time to do the job, so could anyone add me to the login to data base to allow me to participate, I have hope to participating in later stages of the whole project, so having experience with human processes during this task would help me tremendously to implementing machine process .
Hi @martin and everyone! I’m a new AI/ML AWG member, an aerospace engineer (MS, Virginia Tech) with an ML/data analysis background from experimental fluid dynamics research. The SAA/GCR separation project caught my eye, and I’d really like to learn more about it. I’m new to radiation dosimetry, but I’m comfortable with time-series data and classification methods and eager to learn the domain from the group. Happy to start small. Would love any guidance on how to jump in.
We’re on the final stretch before the 4 Aug deadline. Let’s finish strong and make this project a success! Every completed day and every uploaded CSV counts.
Hi everyone, I noticed that some SAA passages cross the UTC day boundary—for example, a passage may begin around 23:57 on one day and continue until about 00:03 the next day. Since the tool labels each day separately, this would create two saved intervals even though physically it is one continuous SAA passage.
Should we label each visible segment within its respective day and let them be merged during later processing, or is there another convention we should follow for passages that cross midnight? I wanted to clarify this as we are nearing completion of the manual-labeling task. Thank you!
A huge thank you to everyone who has contributed to labeling SAA passes over the past weeks. Your effort is directly helping us build a solid ground truth dataset for SAA/GCR separation.
Special recognition goes to IdilDogaTurkmen, who labeled data on 44 days, covering 56.4% of all labeled days and logging 56h 18m of labeled time. This is by far the largest contribution to the effort so far. Amazing work!
Thanks as well to everyone else who pitched in:
Volunteer
Days
Rows
% of days
Labeled time
IdilDogaTurkmen
44
18,989
56.4%
56h 18m
ShayanGhosh
10
5,736
12.8%
16h 58m
HitaeshiSehgal
9
10,234
11.5%
30h 14m
ShivamKumarSharma
6
1,615
7.7%
4h 47m
Kakona
5
1,923
6.4%
5h 42m
RaviRanjan
4
4,603
5.1%
13h 37m
Raj taware
1
250
1.3%
0h 44m
Every single labeled pass matters, so thank you all for the time and care you have put into this.
Next, we would like to show how the volunteer labeled SAA passes compare to NASA SRAG’s own SAA crossing data. You can find the comparison here:
The comparison shows good overall agreement, but it also shows that some of our labeled passes will need to be revisited and corrected. We will follow up with details on which entries need a second look.
Thanks again for all your hard work. This dataset would not exist without you.
During data review, we found that many SAA passes are missing.
In addition, we’ve encountered stability issues with the labeling application.
We’re working on resolving both problems. If anyone would like to help with labeling the remaining passes, we’d appreciate it.
At the next main monthly @AIMLawg AWG mtg would you be able to present this project, its background, methods, status, and the ask/what/how many AIML AWG member you are looking for to contribute (and their task/skills/etc)?