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#euclid

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Der Quick Release 1 des #Euclid-Satelliten - die ersten 63 von am Ende 14.000 Quadratgrad des Himmels - ist da: Das Video youtube.com/watch?v=rXCBFlIpvfQ taucht in die gigantische Himmelsdurchmusterung ein, und in skyweek.wordpress.com/2025/03/ gibt es ausgewählte Bilder, Hintergründe und viele Links. Richtig ernst wird es dann Ende 2026 mit dem Data Release 1, der 1900 Quadratgrad und die ersten fundamentalen kosmologischen Schlussfolgerungen verspricht, um die es bei dem ESA-Projekt geht.

Einblick in die Tiefen des Weltalls ✨ : Das Weltraumteleskop @ec_euclid der #ESA lieferte neue, hochauflösende Daten für die Wissenschaft. Ein Team um Francine Marleau vom Institut für Astro- und Teilchenphysik konnte darin Tausende von Zwerggalaxien identifizieren.

🔭 🌌 youtube.com/watch?v=rXCBFlIpvf

Mehr dazu: uibk.ac.at/de/newsroom/2025/ta

The #Euclid Quick Release 1 (Q1) - irsa.ipac.caltech.edu/data/Euc - in perspective: a slide from the informative technical video youtube.com/watch?v=DVlKqFrvhR. For further science results from Q1 watch youtube.com/watch?v=YGqaxDH00Y, for a sampling pretty pictures - and what the satellite delivers *is* pretty and indeed almost at Hubble resolution - go to youtube.com/watch?v=rXCBFlIpvf instead. A data explorer is at irsa.ipac.caltech.edu/applicat. And for the 34 - gasp! - papers coming with Q1 go to euclid-ec.org/science/publicat

Euclid opens data treasure trove, offers glimpse of deep fields

➡️ aei.mpg.de/1240576/euclid-open

“Euclid's unique observational capability could help us to better determine the expansion rate of the Universe through gravitational-wave observations,” explains Miguel Zumalacárregui, group leader in the Astrophysical and Cosmological Relativity department at the @mpi_grav in the Potsdam Science Park. To do this, the researchers plan to correlate events from @LIGO, Virgo, and KAGRA with the Euclid galaxy catalogues. Additionally, the large number of gravitational lens systems discovered by Euclid plays an important role. “Euclid observations could also be crucial for detecting the first gravitational waves split into multiple images by gravitational lenses,” adds Zumalacárregui.

@ec_euclid

www.aei.mpg.deEuclid opens data treasure trove, offers glimpse of deep fields

Euclid eröffnet Datenschatztruhe: Einblicke in die Tiefen des Universums

➡️ aei.mpg.de/1240587/euclid-open

„Die einzigartigen Beobachtungsmöglichkeiten von Euclid könnten dazu beitragen, die Expansionsrate des Universums durch Gravitationswellenbeobachtungen besser zu bestimmen“, erklärt Miguel Zumalacárregui, Gruppenleiter in der Abteilung Astrophysikalische und Kosmologische Relativitätstheorie am @mpi_grav im Potsdam Science Park. Dazu wollen die Forschenden Gravitationswellen, die von @LIGO, Virgo udn KAGRA gemessen werden, mit den Galaxienkatalogen von Euclid korrelieren. Darüber hinaus spielt die große Zahl der von Euclid entdeckten Gravitationslinsensysteme eine wichtige Rolle. „Die Beobachtungen von Euclid könnten auch entscheidend sein für die Entdeckung der ersten Gravitationswellen, die durch Gravitationslinsen in mehrere Bilder aufgespalten werden“, fügt Zumalacárregui hinzu.

@ec_euclid

www.aei.mpg.deEuclid eröffnet Datenschatztruhe: Einblicke in die Tiefen des Universums

All the goosebumps 🤩 #ESA's #Euclid hunting for the 95 unknown % of the Universe:

youtu.be/rXCBFlIpvfQ?si=5WfdNr

More information on this first release of a batch of survey data, including a preview of Euclid deep fields:

▶️ esa.int/Science_Exploration/Sp

Yes, the data is publicly available!

Euclid ‘quick’ releases, such as this, are of selected areas, to demonstrate the data products to be expected in the major data.

It's #Euclid data release day!

#ESA and the Euclid Consortium are making 63 deg² of Wide Survey data available to the world. Imaging and spectroscopy data, catalogues and masks for 20+ million galaxies, quasars, stars and substellar objects.

This "Q1" data release is aimed both at the community to sharpen their tools for the 30x larger DR1 expected in late 2026, as well as to enable a first set of science projects across cosmic time.

Q1 is accompanied by the presentation of 7 Euclid Consortium data release publications, and an initial batch of 27 science papers.

Read more in the Consortium press release: euclid-ec.org/public/press-rel

And the ESA release webstory: esa.int/Science_Exploration/Sp

Later today, the first commercial launch of an #Ariane6 rocket is planned, after the maiden flight in July 2024 that was mostly successful. Ariane 6 had been the backup launcher for #Euclid for many years.

Originally and for many years, Euclid was slated to launch on a Russian #Soyuz from French Guyana, which changed following the invasion of Ukraine and the subsequent stop of collaboration of #ESA with Roskosmos, the company behind Soyuz.

After this, Ariane 6 became the primary launcher on launch slot 4 or 5, but given that Euclid was almost ready for launch already in 2022, alternatives were looked into, and in the end Euclid successfully launched with a US company on 1 July 2023.

So we've been following #Ariane6's development for a while. All the best for this launch 🤞🤞🏽🤞🏻.

Next #ESA #astronomy mission to be launched with Arianne 6 is the #exoplanet satellite #PLATO, towards the end of 2026.

All about today's launch: esa.int/Enabling_Support/Space

www.esa.intArianeAriane

Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field (by #Euclid): arxiv.org/abs/2411.16808 -> Euclid Could Find 170,000 Strong Gravitational Lenses: universetoday.com/169928/eucli

arXiv logo
arXiv.orgEuclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus fieldThe Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many lenses by visual inspection with professional astronomers and citizen scientists alone is infeasible. Machine learning algorithms, particularly convolutional neural networks (CNNs), have been used as an automated method of detecting strong lenses, and have proven fruitful in finding galaxy-galaxy strong lens candidates. We identify the major challenge to be the automatic detection of galaxy-galaxy strong lenses while simultaneously maintaining a low false positive rate. One aim of this research is to have a quantified starting point on the achieved purity and completeness with our current version of CNN-based detection pipelines for the VIS images of EWS. We select all sources with VIS IE < 23 mag from the Euclid Early Release Observation imaging of the Perseus field. We apply a range of CNN architectures to detect strong lenses in these cutouts. All our networks perform extremely well on simulated data sets and their respective validation sets. However, when applied to real Euclid imaging, the highest lens purity is just 11%. Among all our networks, the false positives are typically identifiable by human volunteers as, for example, spiral galaxies, multiple sources, and artefacts, implying that improvements are still possible, perhaps via a second, more interpretable lens selection filtering stage. There is currently no alternative to human classification of CNN-selected lens candidates. Given the expected 10^5 lensing systems in Euclid, this implies 10^6 objects for human classification, which while very large is not in principle intractable and not without precedent.

Am 15. Oktober 2024 wurde ein erster kleiner Ausschnitt der Karte des Universums veröffentlicht, an der die Weltraummission #Euclid der ESA arbeitet. Der aufgenommene Streifen quer über den Himmel zeigt Millionen von Sternen und Galaxien. @knud vom @mpi_astro und Mitglied des Euclid-Konsortiums erklärt uns heute Abend bei Astro & Co, was wir aus den Daten bereits jetzt schon lernen können

youtube.com/watch?v=3F3WWLUn-y