×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.
Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

NAJADS: a self-contained framework for the direct determination of astrophysical J-factors. (arXiv:2112.11138v3 [astro-ph.CO] UPDATED)

Click here to flash read.

Cosmological simulations play a pivotal role in understanding the properties
of the dark matter (DM) distribution in both galactic and galaxy-cluster
environments. The characterization of DM structures is crucial for informing
indirect DM searches, aiming at the detection of the annihilation (or decay)
products of DM particles. A fundamental quantity in these analyses is the
astrophysical J-factor. J-factors are typically computed through the
semi-analytical modelling of the DM mass distribution, which is affected by
large uncertainties. With the scope of addressing and possibly reducing these
uncertainties, we present NAJADS, a self-contained framework to derive the DM
J-factor directly from the raw simulations data. We show how this framework can
be used to compute all-sky maps of the J-factor, automatically accounting for
the complex 3D structure of the simulated halos and for the boosting of the
signal due to the density fluctuations along the line of sight. After
validating our code, we present a proof-of-concept application of NAJADS to a
realistic halo from the IllustrisTNG suite, and exploit it to make a thorough
comparison between our numerical approach and traditional semi-analytical
methods.

Click here to read this post out
ID: 312342; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: Aug. 5, 2023, 7:30 a.m. Changes:
/u/anonymous
Dictionaries:
Words:
Spaces:
Views: 8
CC:
No creative common's license
Comments: