[Faculty] Fwd: [CSRC.COLLOQUIUM] "Deducing Neutron Star Equation of State From Telescope Spectra with Machine Learning "

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, July 8, 2022*


TITLE:
*Deducing Neutron Star Equation of State From Telescope Spectra with
Machine Learning *



TIME:
*3:30-4:30PM*



LOCATION:
Join Zoom Meeting -   https://SDSU.zoom.us/j/84285816438
<https://sdsu.zoom.us/j/84285816438>


SPEAKER/BIO:
*Delaney Farrell, PhD Candidate, Computational Science*



ABSTRACT:
Neutron stars provide a unique laboratory for studying matter at extreme
pressures and densities. While there is no direct way to explore their
interior structure, X-rays emitted from these stars can indirectly provide
clues to the equation of state (EOS) of the nuclear matter within through
inference of the star’s mass and radius. However, inference of EOS directly
from a star’s X-ray spectra is extremely challenging from systematic
uncertainties in observation. The current state of the art is to use
simulation-based likelihoods in a piecewise method, which first infer the
star’s mass and radius to reduce the dimensionality of the problem (but
likely sacrifice some information) and from those quantities infer the EOS.
We demonstrate a series of enhancements to the state of the art, in terms
of realistic uncertainty quantification and improved regression of physical
properties with machine learning. We also demonstrate the first inference
of the EOS directly from the high-dimensional spectra of observed stars,
avoiding the intermediate mass-radius step. Our network is conditioned on
the sources of uncertainty of each star, allowing for natural and complete
propagation of uncertainties to the EOS.


Host:
*SDSU SIAM Student Chapter*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.



-- 
You received this message because you are subscribed to the Google Groups
"CSRC Colloquium" group.
To unsubscribe from this group and stop receiving emails from it, send an
email to csrc.colloquium+unsubscribe at sdsu.edu.
To view this discussion on the web visit
https://groups.google.com/a/sdsu.edu/d/msgid/csrc.colloquium/7124bffb-b753-4ea0-b64a-b9eaa2a4bf5fn%40sdsu.edu
<https://groups.google.com/a/sdsu.edu/d/msgid/csrc.colloquium/7124bffb-b753-4ea0-b64a-b9eaa2a4bf5fn%40sdsu.edu?utm_medium=email&utm_source=footer>
.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://engineering.sdsu.edu/pipermail/faculty/attachments/20220705/b0b79752/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: SDSU_CSRC Logo.jpg
Type: image/jpeg
Size: 56046 bytes
Desc: not available
URL: <http://engineering.sdsu.edu/pipermail/faculty/attachments/20220705/b0b79752/attachment-0001.jpg>