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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Conversion

TeamOpponentPart 1Part 2Part 3TotalParts
BruinIllinois B0000
Chicago ASwarthmore1010020EM
Chicago BNorthwestern A100010E
Columbia ARutgers100010E
Columbia BWaterloo1010020EM
Georgia Tech BPurdue100010E
HarvardGeorgia Tech A1010020EM
Illinois AJohns Hopkins100010E
IndianaCornell1010020EM
MinnesotaUCLA100010E
NYU AUC Berkeley B100010E
NYU BMIT100010E
Northwestern BBrown100010E
Penn StateMaryland B100010E
Stanford AGeorgia Tech C1010020EM
Stanford BVanderbilt100010E
Toronto BMichigan1010020EM
UC Berkeley ACambridge1010020EM
VirginiaUCF100010E
Virginia TechToronto A100010E
WashUGeorgetown1010020EM

Summary

TournamentEditionMatchHeardPPBE %M %H %
Main Site2026-04-17✓2113.3395%38%0%