How well do we understand the formation of population III stars?

[BWV]

Was looking into the issue of the lack of observations of low-metallic pop III red dwarfs as, given their long lifetimes, they should still be around. The explanations that come back are
A) they cannot form as red dwarfs need metals for some reason
B) they exist but cannot see them

My questions

1) how well is star formation of pop III stars understood relative to A)? Is this the consensus view?

2) I get that red dwarfs are harder to detect given their low luminosity, but can also find reports of observations of them at long distances (Ref) so how widely held is B)?

Apologies cannot find sources other than wiki, quora & stackexhange so please correct any incorrect premises

 

[sbrothy]

Some of the "knowledge" seems to be hypothtical if one believes WIkipedia - Stellar population.

A more serious discussion:

Science DIrect - Population III Stars.

Lots of hits on Google Scholar too.

 

[BWV]

I tried this on Google Gemini's DeepResearch and had it create this website

 

[sbrothy]

I tried this on Google Gemini's DeepResearch and had it create this website

Lot's of hits on arXiv. Almost too many!

Population Models for Star Formation Timescales in Early Galaxies: The First Step Towards Solving Outshining in Star Formation History Inference

" JWST have revealed temporarily-quenched and ultraviolet-luminous galaxies in the early universe, suggesting enhanced star formation stochasticity. Verifying this hypothesis is critical, yet challenging; outshining, wherein light from young stars dominates the spectral energy distribution, represents perhaps the greatest challenge in inferring the formation histories of unresolved galaxies. In this paper, we take a simple model of burstiness and show that state-of-the-art inference methods with flexible star formation histories (SFHs) and neutral priors, while recovering average star formation rates (SFRs; dex median offset), fail to recover the complexities of fluctuations on tens of Myr timescales, and typically underestimate masses in bursty systems ( dex). Surprisingly, detailed SFH recovery is still sensitive to priors even when data quality is optimal, e.g., including high signal-to-noise ( ) spectroscopy with wide coverage (rest-frame m). Crucially, however, refitting the same data with a prior correctly encoding the bursty expectation eliminates these biases: median offsets in mass and SFRs decrease to dex and dex, respectively. Under the assumption that current population burstiness predicts past SFH, the solution to outshining in modeling statistical samples is empirically measuring recent galaxy SFHs with population modeling. A prototype is H /UV: while helpful, it is insufficient to constrain the expected complex burstiness. To this end, we introduce a more complete, quantitative population-level approach and demonstrate that it promises to recover the typical amplitude, timescale, and slope of the recent SFH to high accuracy. This approach thus has the strong potential to solve outshining using observations from JWST. "

Sorry for the broken LaTeX.


Spectral Evolution of Rotating Population III Stars

 

[sbrothy]

I tried this on Google Gemini's DeepResearch and had it create this website

That website just sets up a website for you? Sounds awfully convenient.

EDIT: Or maybe self-referential I'm not sure....

 

[DaveC426913]

I tried this on Google Gemini's DeepResearch and had it create this website

That website just sets up a website for you? Sounds awfully convenient.

Worse than convenient, it's alarming. That website will now go into the "pool" of knowledge that AI uses to train from. AI is writing its own learning materials.

 

[sbrothy]

Worse than convenient, it's alarming. That website will now go into the "pool" of knowledge that AI uses to train from. AI is writing its own learning materials.

Oh no. It's going recursive.... I wish I could unsee the vista of possible futures!

 

[DaveC426913]

Oh no. It's going recursive.... I wish I could unsee the vista of possible futures!

Plenty of articles by Googling 'Is AI poisoning itself?'

https://www.forbes.com/sites/torcon...s-ai-quietly-killing-itself-and-the-internet/