Dark Machines

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Dark Machines

Dark Machines

@dark_machines

We are a research collective aiming to answer cutting edge questions about Dark Matter with the most advanced techniques that data science provides us with.

Katılım Mart 2018
241 Takip Edilen500 Takipçiler
Dark Machines
Dark Machines@dark_machines·
New @dark_machines related paper on automatic source identification. "Training" on astronomical data from telescope A (Meerlicht) and application to telescope B (Hubble) works very well... arxiv.org/abs/2202.00489
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Sascha Caron
Sascha Caron@SaschaCaron·
Our @dark_machines LHC unsupervised data made it to an art project !!! This is really cool ;) Thanks. with @CatDogLUofM @xmpierinix , @BryanOstdiek , @l_hendriks , @MCvBeekveld and many others
Ouchhh Studio@hello_ouchhh

AI DATA DARK MACHINE_Architectural Main Title Art Piece by Ouchhh for @cern Ouchhh collaborated with the Machine Learning Scientists of CERN. The data used in this research -provided by the particle accelerator- is the recording of the moment that two subatomic particles collide.

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Dark Machines
Dark Machines@dark_machines·
You are looking for training data for your machine learning model. Take the simulated LHC events, full SM background + signal challenge. > 1000000000 events arxiv.org/pdf/2105.14027…
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Dark Machines
Dark Machines@dark_machines·
This project proposes adding such algorithms to LHC searches (and beyond!) to define signal regions based on anomaly score to detect unexpected new physics.
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Dark Machines
Dark Machines@dark_machines·
Interesting is that the winners all have a fixed target loss function in one way or the other (and OR this with the likelihood of a flow model).
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Dark Machines
Dark Machines@dark_machines·
Today on arxiv: The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider arxiv.org/abs/2105.14027
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Dark Machines
Dark Machines@dark_machines·
This work also includes a "data challenge" (like all @dark_machines projects). All data available on @ZENODO_ORG (see links in paper). Can you help to (automate) the identification of (astronomical) sources ?
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Dark Machines
Dark Machines@dark_machines·
"Automatic" identification/catalog for point sources project started in @dark_machines made it to arxiv today: arxiv.org/pdf/2103.11068… Analysis chain: gamma ray images --> u-nets+kmeans or centroid-nets --> Bayesian classification --> astro catalogue with posteriors
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Dark Machines
Dark Machines@dark_machines·
@GregorKasieczka Two timescales: a) 1-2 weeks for darkmachines.org challenge b) Indefinitely you can try to find the anomalous events, submit your anomaly score (0 to 1 per event) to the "Secret Dataset Team, Melissa, Zhonghy et al." and use the evaluation (e.g. AUC) for your work.
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Bob Stienen
Bob Stienen@bob_stienen·
A new paper appeared! The @dark_machines sampling group has put its latest work on @arxiv: A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications. Paper can be found at arxiv.org/abs/2101.04525. Summary thread below 👇
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Sascha Caron
Sascha Caron@SaschaCaron·
First in a series of 2021 @dark_machines papers: A comparison of optimisation algorithms for high-dimensional particle/astrophysics applications Trying to find optimal parameters of your physics model ? Is your chain of simulators non-differentiable? ->arxiv.org/abs/2101.04525
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Gianfranco Bertone
Gianfranco Bertone@gfbertone·
Interesting @EmoryTMLS virtual workshop on “Learning New Physics with Machine Learning” starting today at 4pm CEST 👇
Ilya Nemenman@INemenman

The next @EmoryTMLS virtual workshop will be on Learning New Physics with Machine Learning; May 28 10am-1pm EDT. Stellar speakers, engaging format. Register: docs.google.com/forms/d/1Cm-9G… Flyer: nemenmanlab.org/~ilya/images/a… More info soon at: livingtheory.emory.edu/programs/confe… Join us!

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Dark Machines
Dark Machines@dark_machines·
We have decided in a meeting of the organisers to postpone the 2020 darkmachines workshop at CERN until autumn (dates still have to be set) due to the current situation with SARS-COV-2. Please cancel your CERN hostel on an individual basis. Sorry !
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EuCAPT
EuCAPT@EuCAPT·
We invite all scientists (PhD students, postdocs, and staff) active in theoretical astroparticle physics and cosmology & affiliated to a research institution in a European country, to participate in the 1st EuCAPT census by following this link: indico.cern.ch/event/875334/ Please RT
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Keşfet

@CatDogLUofM @l_hendriks @MCvBeekveld @BPNachman @GregorKasieczka @ZENODO_ORG @arxiv @EmoryTMLS