Searching for codes credited to 'Niemack, Michael D.'
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[ascl:2112.026]
HoloSim-ML: Analyzing radio holography measurements of complex optical systems
Chesmore, Grace E.;
Adler, Alexandre E.;
Cothard, Nicholas F.;
Dachlythra, Nadia;
Gallardo, Patricio A.;
Gudmundsson, Jon;
Johnson, Bradley R. Limon, Michele McMahon, Jeff Nati, Federico;
Niemack, Michael D.;
Puglisi, Giuseppe;
Simon, Sara M.;
Wollack, Edward J.;
Wolz, Kevin;
Xu, Zhilei;
Zhu, Ningfeng
HoloSim-ML performs beam simulation and analysis of radio holography data from complex optical systems. The code uses machine learning to efficiently determine the position of hundreds of mirror adjusters on multiple mirrors with few micron accuracy.
[ascl:2307.012]
mnms: Map-based Noise ModelS
Atkins, Zachary;
Duivenvoorden, Adriaan J.;
Coulton, William R.;
Qu, Frank J.;
Aiola, Simone;
Calabrese, Erminia;
Chesmore, Grace E.;
Choi, Steve K.;
Devlin, Mark J.;
Dunkley, Jo;
Hervías-Caimapo, Carlos;
Guan, Yilun;
La Posta, Adrien;
Li, Zack;
Louis, Thibaut;
Madhavacheril, Mathew S.;
Moodley, Kavilan;
Naess, Sigurd;
Nati, Federico;
Niemack, Michael D.;
Page, Lyman;
Puddu, Roberto;
Salatino, Maria;
Sifón, Cristóbal;
Staggs, Suzanne T.;
Vargas, Cristian;
Vavagiakis, Eve M.;
Wollack, Edward J.
mnms (Map-based Noise ModelS) creates map-based models of Simons Observatory Atacama Cosmology Telescope (ACT) data. Each model supports drawing map-based simulations from data splits with independent realizations of the noise or equivalent, similar to an independent set of time-domain sims. In addition to the ability to create on-the-fly simulations, mnms also includes ready-made scripts for writing a large batch of products to disk in a dedicated SLURM job.