92 |
103 |
104 |
105 |
106 |
107 |
108 |
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/doc/resource/astro/reference/reviews.rst:
--------------------------------------------------------------------------------
1 | A Collection of Interesting Revew Articles
2 | ==========================================
3 |
4 | **Just started, Help needed**
5 |
6 | - A (personal) collection of useful or interesting review articles
7 | classified based on the **astro-ph** categories for arXiv.
8 | - Will try to make this list up-to-date by only keeping the reviews
9 | from the last five years.
10 | - Right now, will only keep review articles published (or posted) after
11 | 2017.
12 |
13 | Astrophysics of Galaxies
14 | ------------------------
15 |
16 | - `Supermassive Black Holes in the Early
17 | Universe `__
18 |
19 | - `Halo Concentrations and the Fundamental Plane of Galaxy
20 | Clusters `__
21 |
22 | Cosmology and Nongalactic Astrophysics
23 | --------------------------------------
24 |
25 | - `Modelling baryonic feedback for survey
26 | cosmology `__
27 |
28 | - `The galaxy cluster mass scale and its impact on cosmological
29 | constraints from the cluster
30 | population `__
31 |
32 | Earth and Planetary Astrophysics
33 | --------------------------------
34 |
35 | - `From Centaurs to comets — 40
36 | years `__
37 |
38 | - `Trans-Neptunian objects and Centaurs at thermal
39 | wavelengths `__
40 |
41 | - `Kuiper belt: formation and
42 | evolution `__
43 |
44 | - `Exoplanetary Atmospheres: Key Insights, Challenges and
45 | Prospects `__
46 |
47 | - `Exoplanet Clouds `__
48 |
49 | High Energy Astrophysical Phenomena
50 | -----------------------------------
51 |
52 | - `Multi-Messenger Astrophysics `__
53 |
54 | - `Multi-Messenger Physics with the Pierre Auger
55 | Observatory `__
56 |
57 | - `Multi-Messenger Astrophysics with Pulsar Timing
58 | Arrays `__
59 |
60 | - `Fast Radio Bursts: An Extragalactic
61 | Enigma `__
62 |
63 | - `Neutrino Emission as Diagnostics of Core-Collapse
64 | Supernovae `__
65 |
66 | - `Observing Black Holes Spin `__
67 |
68 | Instrumentation and Methods for Astrophysics
69 | --------------------------------------------
70 |
71 | Solar and Stellar Astrophysics
72 | ------------------------------
73 |
74 | - `Pulsating white dwarfs: new
75 | insights `__
76 |
77 | - `Asteroseismology of solar-type
78 | stars `__
79 |
80 | - `An observer’s view on the future of
81 | asteroseismology `__
82 |
83 | - `The role of magnetic fields in the formation of protostellar
84 | discs `__
85 |
86 | Solar System
87 | ------------
88 |
89 | Near-Earth Asteroids
90 | ~~~~~~~~~~~~~~~~~~~~
91 |
92 | - `Earth’s Minimoons: Opportunities for Science and
93 | Technology `__
94 |
95 | Post-Rosetta Reviews
96 | ~~~~~~~~~~~~~~~~~~~~
97 |
98 | - `The Thermal, Mechanical, Structural, and Dielectric Properties of
99 | Cometary Nuclei After Rosetta `__
100 | - `Local Manifestations of Cometary
101 | Activity `__
102 |
103 | Meteors
104 | ~~~~~~~
105 |
106 | - `Physics of meteor generated shock waves in the Earth’s atmosphere –
107 | A review `__
108 |
--------------------------------------------------------------------------------
/astro/projects/wfirst.md:
--------------------------------------------------------------------------------
1 | # Wide Field Infrared Survey Telescope
2 |
3 | * The Wide Field Infrared Survey Telescope (WFIRST) is a NASA observatory designed to unravel the secrets of dark energy and dark matter, search for and image exoplanets, and explore many topics in infrared astrophysics. WFIRST has a 2.4m telescope, the same size as Hubble’s, but with a view 100 times greater than Hubble’s. WFIRST was the top-ranked large space mission in the 2010 Decadal Survey of Astronomy and Astrophysics, and is slated to launch in the mid-2020s.
4 |
5 | ## Basic Information:
6 |
7 | * [WFIRST website](https://wfirst.gsfc.nasa.gov/)
8 | * [Spacecraft and Instrument Parameters (Cycle 7)](https://wfirst.ipac.caltech.edu/sims/Param_db.html)
9 | - These parameters refer to the telescope design as specified in Design Cycle 7 or the 2015 [WFIRST-AFTA Science Definition Team and WFIRST Study Office Report](https://wfirst.ipac.caltech.edu/docs/WFIRST-AFTA_SDT_Report_150310_Final.pdf).
10 | * [WFIRST Reference Information (Cycle 7)](https://wfirst.gsfc.nasa.gov/science/WFIRST_Reference_Information.html)
11 | - Current (06/2019) design information of WFIRST instruments.
12 |
13 | ### Social Media
14 |
15 | * [Twitter handle: @NASAWFIRST](https://twitter.com/nasawfirst?lang=en)
16 |
17 | ## Important Documents:
18 |
19 | * A lot of historical documents about the design and science of WFIRST can be found in the [document library](https://wfirst.gsfc.nasa.gov/library.html)
20 | * [WFIRST Fact Sheet](http://www.stsci.edu/files/live/sites/www/files/home/wfirst/_documents/WFIRST-FactSheet-001.pdf)
21 | * [WFIRST Science Summary](http://www.stsci.edu/files/live/sites/www/files/home/wfirst/_documents/WFIRST-ScienceSheet-001.pdf)
22 | * [WFIRST-AFTA Science Definition Team and WFIRST Study Office Report](https://wfirst.ipac.caltech.edu/docs/WFIRST-AFTA_SDT_Report_150310_Final.pdf)
23 |
24 | ### Important Publications:
25 |
26 | #### Prediction and Plans:
27 |
28 | * [Solar system science with the Wide-Field InfraRed Survey Telescope (WFIRST)](https://arxiv.org/abs/1709.02763)
29 | * [Photometric Redshift Calibration Requirements for WFIRST Weak-lensing Cosmology: Predictions from CANDELS](https://arxiv.org/abs/1808.10458)
30 | * [Predictions of the WFIRST Microlensing Survey. I. Bound Planet Detection Rates](https://arxiv.org/abs/1808.02490)
31 | * [Characterization of Exoplanet Atmospheres with the Optical Coronagraph on WFIRST](https://ui.adsabs.harvard.edu/abs/2019AJ....157..132L/abstract)
32 | * [Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints](https://ui.adsabs.harvard.edu/abs/2018ApJ...867...23H/abstract)
33 |
34 | ### Technical Reports (after 2018):
35 |
36 | * [WFIRST Wavelength Calibration: A Strategy with M67](http://www.stsci.edu/files/live/sites/www/files/home/wfirst/_documents/WFIRST-STSCI-TR1901.pdf)
37 | * [Will Gaia be precise enough to solve for the geometric distortion of the WFI?](http://www.stsci.edu/files/live/sites/www/files/home/wfirst/_documents/WFIRST-STScI-TR1801.pdf)
38 |
39 | ## Software and Pipeline:
40 |
41 | * [WFIRST Software and Simulation Tools](http://www.stsci.edu/wfirst/science-planning-toolbox)
42 | - [One page summary of available softwares](http://www.stsci.edu/files/live/sites/www/files/home/wfirst/_documents/WFIRST-at-STScI-001.pdf)
43 |
44 | * [wfirst-tools - Instructions and tutorials for WFIRST software tools distributed by STScI for the science community](https://github.com/spacetelescope/wfirst-tools)
45 |
46 | * [STScI-STIPS - the Space Telescope Imaging Product Simulator](https://github.com/spacetelescope/STScI-STIPS)
47 | - It is designed to create simulations of full-detector post-pipeline astronomical scenes for any telescope. Now works for both JWST and WFIRST.
48 |
49 | * [Chris Hirata's WFIRST Galaxy Survey Exposure Time Calculator](https://wfirst.gsfc.nasa.gov/science/etc14.html)
50 |
--------------------------------------------------------------------------------
/doc/_build/html/_sources/resource/astro/reference/reviews.rst.txt:
--------------------------------------------------------------------------------
1 | A Collection of Interesting Revew Articles
2 | ==========================================
3 |
4 | **Just started, Help needed**
5 |
6 | - A (personal) collection of useful or interesting review articles
7 | classified based on the **astro-ph** categories for arXiv.
8 | - Will try to make this list up-to-date by only keeping the reviews
9 | from the last five years.
10 | - Right now, will only keep review articles published (or posted) after
11 | 2017.
12 |
13 | Astrophysics of Galaxies
14 | ------------------------
15 |
16 | - `Supermassive Black Holes in the Early
17 | Universe `__
18 |
19 | - `Halo Concentrations and the Fundamental Plane of Galaxy
20 | Clusters `__
21 |
22 | Cosmology and Nongalactic Astrophysics
23 | --------------------------------------
24 |
25 | - `Modelling baryonic feedback for survey
26 | cosmology `__
27 |
28 | - `The galaxy cluster mass scale and its impact on cosmological
29 | constraints from the cluster
30 | population `__
31 |
32 | Earth and Planetary Astrophysics
33 | --------------------------------
34 |
35 | - `From Centaurs to comets — 40
36 | years `__
37 |
38 | - `Trans-Neptunian objects and Centaurs at thermal
39 | wavelengths `__
40 |
41 | - `Kuiper belt: formation and
42 | evolution `__
43 |
44 | - `Exoplanetary Atmospheres: Key Insights, Challenges and
45 | Prospects `__
46 |
47 | - `Exoplanet Clouds `__
48 |
49 | High Energy Astrophysical Phenomena
50 | -----------------------------------
51 |
52 | - `Multi-Messenger Astrophysics `__
53 |
54 | - `Multi-Messenger Physics with the Pierre Auger
55 | Observatory `__
56 |
57 | - `Multi-Messenger Astrophysics with Pulsar Timing
58 | Arrays `__
59 |
60 | - `Fast Radio Bursts: An Extragalactic
61 | Enigma `__
62 |
63 | - `Neutrino Emission as Diagnostics of Core-Collapse
64 | Supernovae `__
65 |
66 | - `Observing Black Holes Spin `__
67 |
68 | Instrumentation and Methods for Astrophysics
69 | --------------------------------------------
70 |
71 | Solar and Stellar Astrophysics
72 | ------------------------------
73 |
74 | - `Pulsating white dwarfs: new
75 | insights `__
76 |
77 | - `Asteroseismology of solar-type
78 | stars `__
79 |
80 | - `An observer’s view on the future of
81 | asteroseismology `__
82 |
83 | - `The role of magnetic fields in the formation of protostellar
84 | discs `__
85 |
86 | Solar System
87 | ------------
88 |
89 | Near-Earth Asteroids
90 | ~~~~~~~~~~~~~~~~~~~~
91 |
92 | - `Earth’s Minimoons: Opportunities for Science and
93 | Technology `__
94 |
95 | Post-Rosetta Reviews
96 | ~~~~~~~~~~~~~~~~~~~~
97 |
98 | - `The Thermal, Mechanical, Structural, and Dielectric Properties of
99 | Cometary Nuclei After Rosetta `__
100 | - `Local Manifestations of Cometary
101 | Activity `__
102 |
103 | Meteors
104 | ~~~~~~~
105 |
106 | - `Physics of meteor generated shock waves in the Earth’s atmosphere –
107 | A review `__
108 |
--------------------------------------------------------------------------------
/programing/julia_basic.md:
--------------------------------------------------------------------------------
1 | # The Julia Programming Language
2 |
3 | * **Still highly imcomplete**
4 | * High-level programming language for future astronomer....maybe?
5 |
6 | ----
7 |
8 | ## Basic Information
9 |
10 | * [The JuliaLab@MIT](https://julia.mit.edu/)
11 | * [The Julia Programming Language](https://julialang.org/)
12 | - Julia was designed from the beginning for high performance.
13 | - The source code can be found on [Github](https://github.com/JuliaLang/julia)
14 | * [Julia 1.1 Documentation](https://docs.julialang.org/en/v1/)
15 | * [Julia Observer](https://juliaobserver.com/packages)
16 | - Good place to search for useful tools.
17 | * [Julia.jl - Curated decibans of Julia programming language](https://github.com/svaksha/Julia.jl)
18 | - Check out the [Space-Science.md](https://github.com/svaksha/Julia.jl/blob/master/Space-Science.md) for astro-related packages.
19 |
20 | ### Distributions
21 |
22 | * [JuliaPro - A Julia distribution crafted for your success](https://juliacomputing.com/products/juliapro.html)
23 |
24 | ### Learning Materials
25 |
26 | * [Learn Julia the hard way!](https://github.com/chrisvoncsefalvay/learn-julia-the-hard-way)
27 | - GitBook for learning Julia language.
28 | * [Julia Cheat Sheet](https://github.com/JuliaDocs/Julia-Cheat-Sheet)
29 | - The [one page version](https://juliadocs.github.io/Julia-Cheat-Sheet/)
30 | * [JuliaZH.jl - Julia语言中文文档](https://github.com/JuliaCN/JuliaZH.jl)
31 |
32 | ## Useful Packages
33 |
34 | ### Basic
35 |
36 | * [DataFrames.jl - In-memory tabular data in Julia](https://github.com/JuliaData/DataFrames.jl)
37 | - Tools for working with tabular data in Julia.
38 | * [CSV.jl - Utility library for working with CSV and other delimited files in the Julia programming language ](https://github.com/JuliaData/CSV.jl)
39 | - A fast, flexible delimited file reader/writer for Julia.
40 | * [Genie.jl - The highly productive Julia web framework](https://github.com/GenieFramework/Genie.jl)
41 | - Genie is a full-stack MVC web framework that provides a streamlined and efficient workflow for developing modern web applications.
42 |
43 | ### Visualization
44 |
45 | * [Plots.jl - Powerful convenience for Julia visualizations and data analysis](https://github.com/JuliaPlots/Plots.jl)
46 | - Documents can be found [here](http://docs.juliaplots.org/latest/)
47 | * [Gadfly.jl - Crafty statistical graphics for Julia](https://github.com/GiovineItalia/Gadfly.jl)
48 | - Gadfly is a plotting and data visualization system written in Julia.
49 |
50 | ### Optimization
51 |
52 | * [Optim.jl - Optimization functions for Julia](https://github.com/JuliaNLSolvers/Optim.jl)
53 | - Optim.jl is a package for univariate and multivariate optimization of functions.
54 | * [LsqFit.jl - Simple curve fitting in Julia](https://github.com/JuliaNLSolvers/LsqFit.jl)
55 | - The LsqFit package is a small library that provides basic least-squares fitting in pure Julia under an MIT license.
56 |
57 | ### Statistics
58 |
59 | * [Turing.jl - The Turing language for probabilistic programming](https://github.com/TuringLang/Turing.jl)
60 | - Turing allows the user to write models in standard Julia syntax, and provide a wide range of sampling-based inference methods for solving problems across probabilistic machine learning, Bayesian statistics and data science etc.
61 |
62 | ### Machine Learning
63 |
64 | * [Flux.jl - the ML library that doesn't make you tensor](https://github.com/FluxML/Flux.jl)
65 | - Flux is an elegant approach to machine learning. It's a 100% pure-Julia stack, and provides lightweight abstractions on top of Julia's native GPU and AD support.
66 | * [knet.jl - Koç University deep learning framework](https://github.com/denizyuret/Knet.jl)
67 | - Knet (pronounced "kay-net") is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators
68 |
--------------------------------------------------------------------------------
/research/machine_learning/machine_learning_basic.md:
--------------------------------------------------------------------------------
1 | # Basics of Machine Learning
2 |
3 | * Here is a "short" list of the most popular and up-to-date resources for learning machine learning and AI related topics.
4 | * "You should be practicing!"
5 |
6 | -----
7 |
8 | ## Basic Courses
9 |
10 | * [Stanford CS229 - Machine Learning](https://see.stanford.edu/Course/CS229)
11 | - By Andrew Ng. This course provides a broad introduction to machine learning and statistical pattern recognition. Videos and lectures are available freely.
12 | - [斯坦福机器学习CS229课程讲义的中文翻译](https://github.com/Kivy-CN/Stanford-CS-229-CN)
13 |
14 | * [Cornell CS4780/CS5780 - Machine Learning for Intelligent Systems](http://www.cs.cornell.edu/courses/cs4780/2018fa/)
15 | - Lectures and video recordings are available for free.
16 |
17 | * [Dive into Deep Learning: an interactive deep learning book with code, math, and discussions](https://d2l.ai/)
18 | * The [Github repo for the book is here](https://github.com/d2l-ai/d2l-en)
19 | * [The version based on __numpy__](http://numpy.d2l.ai/)
20 |
21 | ## Handy Cheatsheets
22 |
23 | - [VIP cheatsheets for Stanford's CS 229 Machine Learning](https://github.com/afshinea/stanford-cs-229-machine-learning)
24 | * This one has a [Chinese version](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh)
25 | - [Essential Cheat Sheets for deep learning and machine learning researchers](https://github.com/kailashahirwar/cheatsheets-ai)
26 |
27 | ## Curated and Awesome List of Resources
28 |
29 | - [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)
30 | * A curated list of awesome machine learning frameworks, libraries and software (by language).
31 | - [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning)
32 | * A curated list of awesome Deep Learning tutorials, projects and communities
33 | - [Awesome Tensorflow](https://github.com/jtoy/awesome-tensorflow)
34 | * A curated list of dedicated resources
35 |
36 | ### Papers and Algorithms
37 |
38 | - [The GAN Zoo - A list of all named GANs](https://github.com/hindupuravinash/the-gan-zoo)
39 |
40 | - [__generative-models__ - Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow](https://github.com/wiseodd/generative-models)
41 |
42 | - [__tensorflow-recipes__ - A collection of TensorFlow (Tensorpack) implementations of recent deep learning approaches including pretrained models](https://github.com/PatWie/tensorflow-recipes)
43 |
44 | ## Materials In Chinese
45 |
46 | - [PumpkinBook - 《机器学习》（西瓜书）公式推导解析](https://github.com/datawhalechina/pumpkin-book)
47 | * In Chinese. Read online [here](https://datawhalechina.github.io/pumpkin-book/)
48 | - [动手学深度学习 - 面向中文读者的能运行、可讨论的深度学习教科书](https://zh.d2l.ai/index.html)
49 | - [斯坦福大学2014（吴恩达）机器学习教程中文笔记](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)
50 | - [DeepLearning-500-questions - 深度学习500问](https://github.com/scutan90/DeepLearning-500-questions)
51 | - Deep learning through 500 questions, a Markdown book.
52 |
53 | ## Tutorial and Examples
54 |
55 | - [Machine Learning From Scratch](https://github.com/eriklindernoren/ML-From-Scratch)
56 | * Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning
57 | - [Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning)
58 | * Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
59 | - [Deep Learning Models](https://github.com/rasbt/deeplearning-models)
60 | * A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks
61 |
62 | ## More Serious Stuff
63 |
64 | - [Deep Learning Papers Reading Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)
65 |
--------------------------------------------------------------------------------