testmyname @testmyname@qoto.org

After two weeks in #mastodon my impression:
- it has a nice clunkly nerdy feeling. Focusing on the essentials, it feels like pioneering internet and I love it🔥
- The app is too much on the pioneering side😰
- my timeline is full of interesting people and interesting topic.💓 I'm not forced to skim through 50 tweets on the latest irrelevant news😒
- I'm getting more exposure. Maybe the AI doesn't filter me out as irrelevant, maybe people are more reactive, thanks 🙏

#introduction

Hello, Mastodon

The paper should hopefully be an easy read, without too much hard stuff and based on pedagogical examples.
It is a short introduction to a topic after all, my hope is to tantalize the brain and spark curiosity!

https://arxiv.org/abs/2211.06182

If you want to read more, look at the previous research paper 👇, here an explanation:
https://twitter.com/nuclearIdini/status/1339279400068665345

Let me know what you think!

(end)

Statistical learning studies 2)
If a model is too simple, it will not describe the system. If it's too complex, it will describe the data you have, but extrapolate badly.
When you build a model, you have to find a golden spot and that depends on how many data one has & expect

Only very few nuclei exist on earth and in the lab. With these few we want to constrain complicated models to incredible levels of precision. This requirement is not always reasonable.

(3/n)

The model should:
1) do few enough operations for the calculator to output a number in time.
2) have little enough complexity so the data can constrain it.

Computational complexity studies number 1).
Some models are easy, others hard i.e. require a lot of operations. Quantum mechanics is hard. It is hard even for quantum computers.
Consider this when building a model!

(2/n)

New proceeding paper today on arXiv at the intersection between the theory of computing, machine learning, and nuclear physics.

An introduction to computational complexity and statistical learning theory applied to nuclear models
https://arxiv.org/abs/2211.06182

a short tootorial🧵

Basically: how do we model things in physics? We need calculators & data to tune our model to the real world.

(1/n)

Mastodon: an introduction for beginners and for scientists.

https://giorgio.gilest.ro/2022/11/05/mastodon-an-introduction-for-beginners-and-for-scientists/

Ukrainian people are holding up the torch of freedom for all of us.

Ukraine belongs in the European family.

#StandWithUkraine 🇪🇺 🇺🇦

Back at it again with the free stuff~

I’m giving away a 1-year IVPN (ivpn.net) Pro subscription to one of my lovely followers who boosts & replies to this post. A winner will be randomly selected in a week, good luck!

IVPN is one of the providers we recommend at @privacyguides. I’m/we’re not sponsored/affiliated with them in any way, I just like their service 😁

Seeing a lot of spreadsheets going around with people to follow on #Mastodon, which is super cool, but y'all should check out and add yourselves to #Trunk, a site with a bunch of different lists which has been around on the fediverse basically forever: https://communitywiki.org/trunk 😄

#TwitterMigration #list #follow