Packet 6: Bonus 9

Ness et al. used techniques from this subfield to create “The Cannon,” which efficiently derives stellar labels from spectra. For 10 points each:
[10e] The CAMELS project uses what subfield of computer science to compare N-body and hydrodynamic cosmological simulations? Gradient descent can be used for training in this subfield.
ANSWER: machine learning [or ML; accept deep learning or artificial intelligence or AI or neural network theory]
[10m] The Simons Foundation’s CHARM emulator uses multistage neural networks to identify these structures. These structures are formed by collapsing overdensities and might contain MACHOs.
ANSWER: galaxy halos [or dark matter halos; accept Massive Compact Halo Objects; prompt on galaxies]
[10h] D’Isanto and Polsterer used deep learning to develop an estimator of this quantity. This notoriously uncertain distance indicator is found by comparing the magnitude of a galaxy in two spectral bands.
ANSWER: photometric redshift [prompt on redshift]
<Editors, Other Science> | F. Prelims 6 - British Columbia + Texas + North Carolina

HeardPPBE %M %H %
2113.3395%38%0%

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TournamentEditionMatchHeardPPBE %M %H %
Main Site2026-04-172113.3395%38%0%