Submission: AURA

[abcHubHH]

Submission: AURA

[Orrell]

Hi @abcHubHH Thanks for the submission. One thing on a quick check is that parameters such as sigma_base etc. affect the results so this will be over the limit (see the README for what counts as a parameter). David

[abcHubHH]

Hi David, I described the parameters in the README. I hope this helps with your decision. My model uses at most three parameters, and I believe I could reduce this to a single parameter as well. Best Aleh

[Orrell]

Hi Aleh, As stated in the README the aim is to match the Figure 1 which has a particular minimum sigma and offset. To get the required accuracy, any model therefore needs two parameters to start with. Your model has a minimum sigma of near-zero, and an offset of zero, so these need to be adjusted. Changing numbers like p_exec or U_scale changes the result so count as parameters (see README). Thanks, David On Jan 6, 2026, at 8:51 AM, abcHubHH ***@***.***> wrote: [https://avatars.githubusercontent.com/u/183022323?s=20&v=4]abcHubHH left a comment (q-variance/challenge#19)<#19 (comment)> Hi David, I described the parameters in the README. I hope this helps with your decision. My model uses at most three parameters, and I believe I could reduce this to a single parameter as well. Best Aleh — Reply to this email directly, view it on GitHub<#19 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AEBN4KLVEXPYKLNP25L4MP34FO4VTAVCNFSM6AAAAACQOQG3KGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZTOMJUG43TINJZHA>. You are receiving this because you modified the open/close state.Message ID: ***@***.***>