From 939ffb42aea758f9b4f63c436fb2ed732ef88f2b Mon Sep 17 00:00:00 2001 From: Emily Hunt Date: Thu, 10 Oct 2024 12:43:08 +0200 Subject: [PATCH] Remove unneeded reading times on blog posts --- src/routes/posts/191119-microphone-technique.md | 2 -- src/routes/posts/200119-tablets.md | 2 -- src/routes/posts/200410-citation-managers.md | 2 -- src/routes/posts/210216-clustering-algorithms-gaia.md | 2 -- src/routes/posts/230324-gaia-cluster-catalogue.md | 2 -- src/routes/posts/230824-bluesky-signup.md | 2 -- src/routes/posts/240311-gaia-cluster-masses.md | 2 -- src/routes/posts/240820-pyenv.md | 2 +- 8 files changed, 1 insertion(+), 15 deletions(-) diff --git a/src/routes/posts/191119-microphone-technique.md b/src/routes/posts/191119-microphone-technique.md index b00c19a..3161e2e 100644 --- a/src/routes/posts/191119-microphone-technique.md +++ b/src/routes/posts/191119-microphone-technique.md @@ -9,8 +9,6 @@ thumbnail: '/assets/posts/191119_microphone_technique/0_mic.jpg' image: '/assets/posts/191119_microphone_technique/5_headset.jpg' --- -_Reading Time: 7 minutes_ - _This article was originally posted on [AstroBetter](https://www.astrobetter.com/blog/2019/07/08/microphone-technique-demystified-level-up-your-public-speaking/), based on [a Twitter thread](https://twitter.com/emilydoesastro/status/1135578195976228865) I made that went rather viral._ Public speaking is an essential skill in academia. Whether at a conference or while giving a lecture, public speaking is an unavoidable (and sometimes dreaded) part of a career in science. There are an endless number of things to learn about how to be a better presenter: Who do I look at? How much should I put on my slides? How can I keep within time limits? Yet one crucial topic is often overlooked: Microphones, and how to use them. diff --git a/src/routes/posts/200119-tablets.md b/src/routes/posts/200119-tablets.md index 9829af3..648f3a0 100644 --- a/src/routes/posts/200119-tablets.md +++ b/src/routes/posts/200119-tablets.md @@ -24,8 +24,6 @@ thumbnail: '/assets/posts/200119_tablets/remarkable.jpg' image: '/assets/posts/200119_tablets/remarkable.jpg' --- -_Reading Time: 5 minutes_ - Back in 2015 when I started my undergrad degree, I tried (with limited success) to work exclusively on a Surface Pro 3. The technology was almost there, but certain niggling issues made it still feel like I was beta testing a nearly-finished tool. However, five more years of progress has ironed out almost all of the bugs, and I now firmly believe that working electronically can be more productive than working on paper. The latest styluses feel great to write with, and a multitude of well-integrated software options make annotating papers, taking notes or even sketching diagrams into an absolute breeze on a modern tablet. You don’t ever have to use a printer again! diff --git a/src/routes/posts/200410-citation-managers.md b/src/routes/posts/200410-citation-managers.md index a1e52e7..eb92f94 100644 --- a/src/routes/posts/200410-citation-managers.md +++ b/src/routes/posts/200410-citation-managers.md @@ -29,8 +29,6 @@ thumbnail: '/assets/posts/200410_citation_managers/paperpile.jpg' image: '/assets/posts/200410_citation_managers/papers.jpg' --- -_Reading Time: 7 minutes_ - As researchers, we get through dozens or even hundreds of papers per year. Science has never been bigger - the total global scientific output [doubles every nine years](http://blogs.nature.com/news/2014/05/global-scientific-output-doubles-every-nine-years.html) - and keeping track of everything can feel impossible at the best of times. This is where citation managers come in! Keeping an electronic list of papers lets you search, categorise and tag your entire library of papers. Most citation managers let you output reference lists to Word or LaTeX, saving you countless hours of trying to insert references into your own publications. All of the options below integrate with the cloud, so you can access your research library from anywhere - and they all allow you to extend this collaboratively, so that your group/co-authors can share reference lists. diff --git a/src/routes/posts/210216-clustering-algorithms-gaia.md b/src/routes/posts/210216-clustering-algorithms-gaia.md index 28e7365..274713d 100644 --- a/src/routes/posts/210216-clustering-algorithms-gaia.md +++ b/src/routes/posts/210216-clustering-algorithms-gaia.md @@ -26,8 +26,6 @@ image: '/assets/posts/210216_clustering_algorithms_gaia/crossmatches_wide.jpg' Download data -_Reading Time: 8 minutes_ - Over a dozen papers have reported new discoveries of open clusters in Gaia data at the time of writing, in less than three years since the release of Gaia DR2. At the core of all papers in this field are **clustering algorithms**. Gaia data contains over 1 billion stars – far too much to accurately search through by hand, like astronomers once did before the 21st century. The many different algorithms that have been tried for this task have never been compared before in an astronomy context – meaning that we **simply don’t know** how their reliabilities, sensitivities and speeds compare. So: that’s what we tried to answer! In [my first ever published paper](https://ui.adsabs.harvard.edu/abs/2021A%26A...646A.104H/abstract) out now in Astronomy & Astrophysics, I worked with my supervisor [Sabine Reffert](https://www.lsw.uni-heidelberg.de/users/sreffert/) on laying the groundwork for the rest of my PhD. We compared a lineup of three different algorithms, and actually found that a method that hasn’t been used for open clusters before (HDBSCAN) is better than the existing literature approaches. However, it also required a lot of development to adapt it for astronomy – especially to reduce its false positive rate. diff --git a/src/routes/posts/230324-gaia-cluster-catalogue.md b/src/routes/posts/230324-gaia-cluster-catalogue.md index 4f93907..5fee20b 100644 --- a/src/routes/posts/230324-gaia-cluster-catalogue.md +++ b/src/routes/posts/230324-gaia-cluster-catalogue.md @@ -24,8 +24,6 @@ image: '/assets/posts/230324-gaia-cluster-catalogue/header.webp' Download data -_Reading time: 2 minutes_ - For the second paper of my PhD (Astronomy & Astrophysics, accepted), I made a catalogue of star clusters using data from Gaia DR3. It was a huge, huge undertaking, with a total of 729 million stars used as input and a whole range of machine learning methods used to analyse it all. Here's a quick summary of the paper (before I show you some plots.) Star clusters are hugely useful in astronomy, with open clusters in particular (my research interest) being used for lots of different purposes: like studies of stellar evolution, studies of our galaxy's structure, or calibrating standard candles used in cosmology (like Cepheid variable stars). So it's safe to say that having good-quality catalogues is important, which is why we set out to make one - leaving no stone unturned to make it as good as possible! diff --git a/src/routes/posts/230824-bluesky-signup.md b/src/routes/posts/230824-bluesky-signup.md index c1ee7b9..2b4b231 100644 --- a/src/routes/posts/230824-bluesky-signup.md +++ b/src/routes/posts/230824-bluesky-signup.md @@ -10,8 +10,6 @@ thumbnail: '/assets/posts/230824-bluesky-signup/thumbnail.webp' image: '/assets/posts/230824-bluesky-signup/header.webp' --- -_Reading time: 5 minutes_ -- _Last updated: 20th August 2024_ - Since Elon Musk's takeover of Twitter, the platform has gotten **much, much worse**. There's [more hate speech](https://www.nytimes.com/2022/12/02/technology/twitter-hate-speech.html), the familiar 'blue check' has been turned into a [paid-for service](https://www.nytimes.com/2023/03/31/technology/personaltech/twitter-blue-check-musk.html) to get your content seen, and Twitter (now renamed to X) has even toyed with crazy ideas like removing the ability to [block other users](https://variety.com/2023/digital/news/elon-musk-x-twitter-block-feature-delete-1235699759/). diff --git a/src/routes/posts/240311-gaia-cluster-masses.md b/src/routes/posts/240311-gaia-cluster-masses.md index 402185c..315e8fe 100644 --- a/src/routes/posts/240311-gaia-cluster-masses.md +++ b/src/routes/posts/240311-gaia-cluster-masses.md @@ -14,8 +14,6 @@ image: '/assets/posts/240311-gaia-cluster-masses/header.webp' Download data -_Reading time: 5 minutes_ - The trilogy is complete! The third paper from my PhD has been accepted. This paper **observationally defines** one of the oldest objects in astronomy -- open clusters -- while also producing the **largest and most accurate catalogue ever** of Milky Way star cluster radii and masses, using these to set new theoretical constraints on the overall star cluster population. This blog post will go over the key findings and figures. diff --git a/src/routes/posts/240820-pyenv.md b/src/routes/posts/240820-pyenv.md index 6a9b82c..95169b7 100644 --- a/src/routes/posts/240820-pyenv.md +++ b/src/routes/posts/240820-pyenv.md @@ -9,7 +9,7 @@ thumbnail: '/assets/posts/240820-pyenv/thumbnail.webp' image: '/assets/posts/240820-pyenv/header.webp' --- -_Reading time: 6 minutes_ -- _Header image: [Christina Morillo](https://www.pexels.com/photo/woman-programming-on-a-notebook-1181359/) on Pexels_ +_Header image: [Christina Morillo](https://www.pexels.com/photo/woman-programming-on-a-notebook-1181359/) on Pexels_ An article has [recently been going around](https://www.theregister.com/2024/08/08/anaconda_puts_the_squeeze_on/) about how a popular company for Python tools -- Anaconda -- recently decided that not-for-profit organizations (such as universities) need to pay to use their tools. This is a **major issue** for probably hundreds of universities around the world that use Anaconda products (like Conda) to manage their Python distribution. They are even seeking [back-dated license fees](https://www.theregister.com/2024/08/08/anaconda_puts_the_squeeze_on/) for use of their software -- an extremely shady business practice for a major staple of the Python ecosystem. -- 2.54.0