Resources

我個人的學術經驗分享

• 進擊的天文學家 

內容會不定期更新，回答一些收到的問題

目前版本 2021 0702

Astrophysics and Science

The circumgalactic medium

• A great talk given by Jason Tumlinson about the circumgalactic medium

• My recent talk about my studies of the CGM 

• Fundamentals of Gaseous Halos (youtube channel)

• The circumgalactic medium (annual review by Tumlinson, Peeples, & Werk)

Galaxies

• Galaxy properties GUI by Leung et al. 

Data and the way to do the science in the future

• A talk given by Alex Szalay 

• Kavli summer program - Machine learning workshop

Surveys & datasets

• SDSSS https://www.sdss.org/

• The DESI Legacy Imaging Survey https://www.legacysurvey.org/

• DESI https://www.desi.lbl.gov/ (A beautiful map of DESI by Claire Lamman https://www.desi.lbl.gov/2021/08/19/cosmic-cartography/)

• GALEX http://www.galex.caltech.edu/

• WISE https://wise2.ipac.caltech.edu/docs/release/allsky/

• unWISE http://unwise.me/

• HSC https://hsc-release.mtk.nao.ac.jp/doc/

• PFS https://pfs.ipmu.jp/

• ULLYSES dataset https://archive.stsci.edu/hlsp/ullyses

• SPHEREx https://spherex.caltech.edu/

• WFIRST https://roman.gsfc.nasa.gov/

• Euclid https://www.euclid-ec.org/

• LSST https://www.lsst.org/

• MSE https://mse.cfht.hawaii.edu/

• GAIA https://sci.esa.int/web/gaia

• LOFAR https://lofar-surveys.org/

• eROSITA https://www.mpe.mpg.de/eROSITA

• MAST https://archive.stsci.edu/

• Map of the Universe https://mapoftheuniverse.net/

Some useful tools for research

• My previous visualization explorations Interactive spectra

• WebPlotDigitizer: a tool to get data from figures 

• Ned Wright Cosmology Calculator 

• yymao DECALS image

• Website for checking the visibility of objects on the sky http://catserver.ing.iac.es/staralt/

• Very nice talk by Prof. Tien-Hsien Chang about how to be a good scientist https://www.youtube.com/watch?v=BIwHE8A7Amg&ab_channel=EPOASIAA

Online resources for Statistics, data analysis and machine learning

• NYU Astrostatistics seminars 

• FastAI 

• Coursera

• A list of recommended books

• MOS conference

• Astro Hack week

• Jake VanderPlas website

• The Shiny app: Bayesian and Frequentist side by side [video]

• Prof. Yen-Chi Chen's website

• Python tutorial by CS231n

• Python for beginners

• Python for everyone

• DESI Python https://github.com/michaelJwilson/desihigh/tree/main/cheatsheets

PhD survival

• https://www.cs.unc.edu/~azuma/hitch4.html?fbclid=IwAR2T2Z3ixH6WmmTliqVYuMtF5Kz7_dayaoHByoQeZu5nuooALx2OfVdti5w

About how to give great talks 

• TED Talks: The Official TED Guide to Public Speaking

• Made to Stick: Why Some Ideas Survive and Others Die

• How to Speak: Lecture Tips from Patrick Winston

• 如何自帶氣場

About writing

• Writing scientific papers in astronomy

About being productive

• How to write a lot

• Deep Work: Rules for Focused Success in a Distracted World

• Grit TED talk

Advice for doing science and looking for academic jobs

• The Professor is in

  • A nice short summary by the author 

• Advice to a young scientist

• Four golden lessons by Steven Weinberg

• The importance of stupidity in scientific research  by Schwartz, M. A. (2008). Journal of Cell Science, 121(11), 1771-1771

• NHFP application

About education, self-development, viewpoints

• https://president.yale.edu/president/speeches/intellectual-humility

• https://president.jhu.edu/speeches/2016/05/18/2016-commencement-ceremony/

How-to series

• how to read a paper https://ui.adsabs.harvard.edu/abs/2020arXiv200612566C/abstract

• how to write a paper https://ui.adsabs.harvard.edu/abs/2022NatAs...6.1021K/abstract

• how to review a paper https://ui.adsabs.harvard.edu/abs/2022arXiv220514270N/abstract

• how to ask questions at presentation https://zakamska.johnshopkins.edu/COMPUTING/questions_guide.html

• how to prepare a presentation https://docs.google.com/document/d/1IuIcrkiYwgwWHaTYtkkGOHFpCAvrXMN7FTv7lI-ittQ/edit?usp=sharing

For NTU students 

• 博士生移地研究

• 逕博獎學金 

• 科技部大專生專題計畫 

• 吳健雄獎學金

• 臺大僑生獎學金

• 國際女性物理學家導師計畫 https://supernovafoundation.org/

For Faculty

• 國科會科普活動計畫

• 傑出人才發展基金會

Others

• 早點開始專精 vs 多花點時間探索 https://www.youtube.com/watch?v=B6lBtiQZSho&ab_channel=TED