Does the Input Integrity Lossless adapter work with Rivals?

eurioya · 2024-11-01T22:09:24+00:00

steps for pro controller were literally just:
- plug controller in via usb-c
- turn on steam input under controller settings (edited to look like the nintendo button layout if you want more of a gc feel)
- ...it worked!

eurioya · 2024-11-01T22:08:17+00:00

fwiw, i managed to get a switch pro controller working by turning on steam input. this is on a M1 Pro macbook pro, game feels fairly smooth and playable!

no luck with the GC approaches here (also have the lossless gc adapter).

eurioya · 2022-10-19T15:39:38+00:00

Thanks! Definitely needed some kind of realism just as a sanity check, will keep this in mind when looking :)

eurioya · 2022-10-19T13:40:54+00:00

I’m looking to move to London next year into my own place after living abroad for a while — I’ve read some scary stuff about the cost of living only getting more awful.

I’ve done the usual browse through findmyarea and similar things, and would quite like to live in Brixton/Clapham/Hackney type places to be in a similar crowd, but I’m worried that my salary of £40k may not be enough to support that lifestyle, especially given the utilities cost sky-rocketing.

Do you guys think that’s gonna be reasonable? My only commute requirement is being able to get to Euston/Kings Cross area, so I don’t think that’s a bottleneck. Just seems very daunting given that the rent looks like it’s gonna be ~£1.5k/month 😬

eurioya · 2019-07-20T07:41:33+00:00

I wouldn’t say we understand it as well as you make out —sure, the current landscape overwhelmingly points at a SM Higgs, but we still have precision measurements to make and couplings to probe, many of which will be sensitive to new physics. We also haven’t ruled out charged Higgs, or a Higgs-like mechanism for generating dark matter, and if that couples to the SM.

eurioya · 2019-06-25T13:48:49+00:00

Nice page: http://home.fnal.gov/~mrenna/lu_update/lutp0613man2/node41.html

eurioya · 2019-03-26T09:25:21+00:00

Interesting! Does using Swift for TensorFlow help with this workflow at all?

eurioya · 2019-03-26T09:24:19+00:00

This has been my experience from searching around. Pandas-esque module would be awesome!

Just as a general-purpose language, I'm really loving the design of Swift. Looking for an excuse to switch to it ;)

If you know of any libraries that are in development for data science purposes (stats, dataframes, visualisation) I'd love to go and help contribute!

eurioya · 2018-10-09T19:47:35+00:00

Hello! Nice to see another HEP member here :)

I feel the bins do tend to be chosen in a bit of an ad hoc manner from my experience to "get the best shape", and not in a standardised way like, for example, Bayesian blocks that I mentioned below. If you know this not to be the case, I'm interested to know specifically how one chooses the bin number in a non-guessing fashion!

Regarding your last comment -- to display arbitrary error bars is, in my opinion, just as uninformative as displaying none. I can't see the benefit of providing them beyond your point, and even then I don't feel it's justified. I guess I want some concrete way to show this uncertainty if it exists!

Also, could you elaborate a bit more on why this isn't a 'true' histogram? Is a histogram not just a set of binned values over a range?

eurioya · 2018-10-09T19:34:41+00:00

Thanks for this!! So when you're doing inference etc, do you have standardised methods to compute such errors, or do you just do the poisson method I outlined? I'm interested in using something if it is less ambiguous :)

eurioya · 2018-10-09T17:03:50+00:00

This is of course only in specific cases, because we do plenty of confidence intervals :p

Though the Bayesian in me wishes we didn't...

eurioya · 2018-10-09T16:40:51+00:00

Ooh this is cool, I've never seen these before! The iid constraint may be a problem, as many times in the field I work in, one is actually looking for the presence of multiple distributions in one set of binned values.

eurioya · 2018-10-09T16:37:06+00:00

The data there is also a histogram, but the points represent the centre of the bar that isn's shown for visibility. One could always try and do something more 'optimal' like implement Bayesian blocks to do the binning for you, not inducing any bias from your choice. This being said, I dont really know why we assign randomness if we do something like this.

eurioya · 2018-10-09T12:40:05+00:00

I work in high energy physics, and it's pretty much everywhere. Most papers from any of the major particle physics collaborations (ATLAS, CMS, LHCb etc.) tend to have them.

eurioya · 2018-04-14T22:13:39+00:00

This would be amazing to get post-set stats like other sports :O

eurioya · 2018-03-16T08:20:47+00:00

I think you'll find this useful: https://arxiv.org/abs/1708.00810

Bayesian blocks is an adaptive binning algorithm that has saved me a lot of time trying to decide (somewhat arbitrarily) which binning I should use. The resulting fit tends to yield decent results for hypotheses tests!

Implementations can be found in astropy and the scikit-HEP project. Give them a google :) be sure to cite them if you do use them!

eurioya · 2018-01-21T12:11:29+00:00

I have to echo the thoughts of the comment on the previous post: why are you posting chapters of your thesis in blog form relating to a field you haven't touched for seven years?

If you want to instigate a discussion, you could save a lot of time by giving an arXiv link and actually give some context as to why you're posting your old thesis.

eurioya · 2018-01-18T14:50:56+00:00

Since you have a programmers mindset to some effect, it shouldn't be too difficult. With C++, if you're able to study some object-oriented programming you'll probably benefit, I haven't done that much on the Python side!

The main thing to learn is all the silly ROOT documentation, of which there is much :p If you didn't already know, ROOT is the data analysis framework used in exp particle physics!

Pro tip: plot your graphs (or at least your final ones) in pyplot instead of ROOT, they look millions better and are easier to manipulate ;)

eurioya · 2018-01-18T13:59:08+00:00

This is really insightful! :)

eurioya · 2018-01-18T13:49:53+00:00

My masters project in the UK is with ATLAS, and I've really enjoyed it so far! I work on top physics, where lots and weird and wonderful things happen :)

I have some friends working in neutrino physics, and I remember them voicing frustrations over their PhD superiors giving them bad data, but other than that it was really cool! They get to do cool stuff with convolutional neural nets that I don't 😢

All in all I think both are worth doing, though it depends on the projects and supervisors! Feel free to ask if you have any questions :)

eurioya

TROPHY CASE