aelabassi-ァべデラーザコ

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aelabassi-ァべデラーザコ

aelabassi-ァべデラーザコ

@aeparticle_el97

PhD student at @UnivIbnTofail 🇲🇦 in Particle Physics ⚡working with @HyperKamiokande experiment BS: https://t.co/ms2fctnkA8

Rabat-Salé-Kenitra Katılım Şubat 2020
4.4K Takip Edilen483 Takipçiler
Akshat
Akshat@star_stufff·
nature has already quantized gravity, we are the ones who are late.
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Martin Bauer
Martin Bauer@martinmbauer·
Astrobites has ranked the top 10 differential equations in Astronomy It's a fun read, but the Einstein field equations don't make the list. Not even the honourable mentions. We discovered gravitational waves almost a decade ago, put some respect on their name!
Martin Bauer tweet media
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😡fermion, PhD
😡fermion, PhD@angryfermion·
astrology is just k-means clustering on personalities
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Sam Gregson
Sam Gregson@Samuel_Gregson·
Serious physicists: continue to expose just how clueless Eric Weinstein is and how flawed his "theories of everything" are This grifter: "Physicists are afraid of Eric Weinstein". Stop taking this person seriously. Please.
Sam Gregson tweet media
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Zohar Komargodski
Zohar Komargodski@ZoharKo·
Trump should have been a physicist — he seems to like swooping in and taking all the credit.
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Sam Gregson
Sam Gregson@Samuel_Gregson·
If you believe the Thiel backed millionaire can’t get anyone to review his paper properly, I have several bridge to sell you.
Sam Gregson tweet media
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Superconformal Hassaan
Superconformal Hassaan@Hassaan_PHY·
The only interaction that I had with Steven Weinberg... I write a thank you email to every author whose book I really like. I wrote an email to Steven Weinberg in 2021 (for writing "Dreams of a final theory"). He replied in April 2021. #physics #scicomm
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Martin Bauer
Martin Bauer@martinmbauer·
Was there a teacher that changed your life?
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maya benowitz 🕰️
maya benowitz 🕰️@cosmicfibretion·
New DESI results: evidence for decaying dark energy is growing with ~4.2 sigma tension with LCDM.
maya benowitz 🕰️ tweet mediamaya benowitz 🕰️ tweet media
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MathMatize Memes
MathMatize Memes@MathMatize·
If you're right-brained, you'll see an elephant. If you're left-brained, you'll see a car.
MathMatize Memes tweet media
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Sam Gregson
Sam Gregson@Samuel_Gregson·
@aeparticle_el97 I can’t see CERN getting away with FCCee if China builds CEPC. It can’t beat China to the punch and funding a “checker” machine seems… yeah Smart division of labour also seems much more sensible and gives improved impact.
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Sam Gregson
Sam Gregson@Samuel_Gregson·
The future of particle physics: China = CEPC: Higgs width, mass, couplings CERN = Straight to FCChh as soon as magnets viable: di-Higgs work/Higgs potential + higher energy studies of EWSB. US = Continues neutrino program and uses synergies to push R&D for a mu-col. Thoughts?
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Γ(z)
Γ(z)@gammaofzeta·
On this (Women and girls in science)day, I’d like to honor Emmy Noether: the most brilliant mathematical physicist ever. It is because of this beautiful mind that we know there’s a conserved quantity for each (continuous) symmetry in the system (which dynamics is described 1/n
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Sabine Hossenfelder
Sabine Hossenfelder@skdh·
Interesting (and slightly worrying) trends of scientific publications by topic in the USA, normalized to 2010. You see that blue dropping line at the bottom? That's physics. The two most steeply rising ones? Psychology and social sciences.
Sabine Hossenfelder tweet media
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Mark Thomson
Mark Thomson@ProfMarkThomson·
Hugely honoured to have been selected as the next Director General of @CERN. CERN is an incredible organisation where scientists from Europe and beyond have come together to uncover the mysteries of the Universe - incredibly exciting!
Mark Thomson tweet media
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Patrick Koppenburg 🐧
Patrick Koppenburg 🐧@PKoppenburg·
My first encounter with #MachineLearning was as a PhD student. I was ambitious and started programming a classifier. It was also my first attempt at C++. It miserably failed but I learned a lot. Since then I'm using ML from standard libraries. Physics can't do without.
The Nobel Prize@NobelPrize

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

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Oz Amram
Oz Amram@OzAmram·
Machine learning has become an indispensable tool in the physicist's toolkit to understand nature But machine learning itself is not physics... (as many of us working at this intersection have been told during/after talks)
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