Pinned Repositories
baseline_dependent_averaging
Code for averaging together baselines
hera_opm
Online processing of HERA data
paper_gpu
21cm_gal_cross_correlation
Methods for calculating projected sensitivity for 21cm x galaxy observations
CS202
Sample code for Computer Science II at UNLV
CS489
Course materials for CS489 -- Analysis and Presentation
ml_boot_camp
Short tutorials for getting up and running with CNNs
zreion_v0
Python-based implementation of semi-numeric reionization technique
pyuvdata
A pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)
ml_rfi
Machine learning applied to RFI flagging
plaplant's Repositories
plaplant/ml_boot_camp
Short tutorials for getting up and running with CNNs
plaplant/CS202
Sample code for Computer Science II at UNLV
plaplant/CS489
Course materials for CS489 -- Analysis and Presentation
plaplant/zreion
An improved implementation of semi-numeric reionization technique
plaplant/zreion_v0
Python-based implementation of semi-numeric reionization technique
plaplant/21cm_gal_cross_correlation
Methods for calculating projected sensitivity for 21cm x galaxy observations
plaplant/hera_mc
The HERA monitor and control (M&C) system.
plaplant/radionopy
Python tools for calculating ionosphere behavior for the effects of the ionosphere for radio telescope measurements.
plaplant/ares
Accelerated Reionization Era Simulations
plaplant/capo
Calibration and Analysis of PAPER Observations
plaplant/champ_lesson8
Material for Lesson 8 (data analysis) of CHAMP bootcamp
plaplant/global_signal
Code for computing an interferometer's response to the sky monopole
plaplant/IonRIME
plaplant/joss
The Journal of Open Source Software
plaplant/nuDustC
Nucleating Dust Code in C++
plaplant/paperdata
Files related to building, searching, and updating the PAPER database compression pipeline
plaplant/plaplant.github.io
plaplant/Project_Euler
Sample programs from the Project Euler website
plaplant/pygwb
plaplant/SSINS
plaplant/TelescopeML
Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra