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X-WR-CALDESC:Eventos para Instituto de Astrofísica de Andalucía
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250121T090000
DTEND;TZID=Europe/Paris:20251030T170000
DTSTAMP:20260409T234222
CREATED:20241219T121029Z
LAST-MODIFIED:20250912T080532Z
UID:22550-1737450000-1761843600@www.iaa.csic.es
SUMMARY:Academic Spanish Course for Foreigners (2025)
DESCRIPTION:The Academic Spanish course for foreigners is designed to facilitate effective communication in academic and profesional contexts. Through a practical and personalized focus\, the participants will develop essential linguistic abilities to discuss scientific articles\, participate in conferences\, give presentations\, and collaborate in international projects. The program includes technical vocabulary\, beginner and advanced grammar\, and simulations of real-life situations. Moreover\, it will promote the cultural immersion to strengthen the comprehension of the Hispanic world\, and their impact on interdisciplinary investigation and collaboration. \nThis course will be taught throughout in the following blocks: \nJanuary 21st – February 27thApril 22nd – May 29thSeptember 23rd – October 30thThe course is taught by Prof. Nazira Ruíz
URL:https://www.iaa.csic.es/evento/academic-spanish-course-for-foreigners-2025/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2024/12/academicspanish.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251016T090000
DTEND;TZID=Europe/Paris:20251017T170000
DTSTAMP:20260409T234223
CREATED:20250330T085559Z
LAST-MODIFIED:20250912T080500Z
UID:25280-1760605200-1760720400@www.iaa.csic.es
SUMMARY:SO Basics of Neural Networks 2025
DESCRIPTION:Deep learning (DL) is a family of techniques widely used in multiple fields with excellent results. Unfortunately\, DL has a steep  learning curve. Fortunately\, several domain-specific libraries have been developed to facilitate the use of DL models. \nFor the widespread adoption of these techniques\, researchers should be able to design and use their own DL models. Image classification is one of the main applications of DL  in astrophysics and offers a convenient way to learn about neural networks. The de facto standard to tackle this problem is Convolutional Neural Networks (CNN)\, a concrete deep learning architecture.  This course will serve as an introduction to Deep Learning with four  sessions with the following objectives: understanding the basics of neural networks\, getting to know the fundamental libraries and fundamental architectures\, learning how to train a CNN\, gaining confidence in using CNNs for image classification tasks\, and learning how to evaluate their preformance. \n\nSession 1: Deep Learning fundamentals\nSession 2: Convolutional Neural Networks fundamentals\nSession 3: Practical considerations in real-world CNNs\nSession 4: Evaluation\n\nThe tutor of this school is Dr Francisco Eduardo Sanchez Karhunen (Universidad de Sevilla). \nThere will be coffee breaks available to participants. \nContents\n\nSession 1: Deep Learning fundamentals\nSession 2: Convolutional Neural Networks fundamentals\nSession 3: Practical considerations in real-world CNNs\nSession 4: Evaluation \n\nFor more details\, see the agenda below. \nThe repository with contents and materials can be found in Github (TBC) \nOrganizing Committee \n\nRainer Schödel (Chair)\, IAA-CSIC\, Spain \nLaura Darriba\, IAA-CSIC\, Spain  \nJavier Moldón\, IAA-CSIC\, Spain 
URL:https://www.iaa.csic.es/evento/so-basics-of-neural-networks-2025/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2025/03/artificial-intelligence.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251016T123000
DTEND;TZID=Europe/Paris:20251016T133000
DTSTAMP:20260409T234223
CREATED:20250915T112430Z
LAST-MODIFIED:20251007T154724Z
UID:27208-1760617800-1760621400@www.iaa.csic.es
SUMMARY:The Stellar Halos of Galaxies and Outskirts of Galaxy Clusters: Clues to their Accretion History
DESCRIPTION:Understanding mass assembly at different scales is key to improving our knowledge on galaxy formation and evolution in general. Stellar halos of galaxies\, primarily formed through the accretion and merger of smaller objects\, preserve memory of their assembly history\, offering unique insight into the accretion and mass growth history of galaxies. During the last decade there has been significant progress\, both from the observational and numerical side\, to characterize stellar halos of Milky Way-mass galaxies. And more recently the outskirts of low-mass galaxies have also started to be explored. On the high mass end\, outskirts of galaxy clusters are also important observational probes of how these systems grow in a cosmological context and can provide insights into their accretion history. \nIn this talk\, I will present the main results both from observations and cosmological simulations that allow us to link the observed properties of stellar halos with the accretion history of their host galaxies. Additionally\, I will present the first kinematical measurement of a diffuse stellar halo beyond the Local Group\, the stellar halo of the edge-on galaxy NGC 4945\, using a novel technique. We couple new deep MUSE spectroscopic observations with existing HST imaging data to spectroscopically measure the radial line-of-sight heliocentric velocity and velocity dispersion in a field at 40 kpc (stellar halo field) along NGC 4945 major axis. If time permits\, I will introduce the 4MOST/CHANCES survey\, aimed at observing the outskirts of ~150 galaxy clusters. \nFecha y lugar: 16/10/2025 – 12:30 | Salón de ActosAntonela MonachesiUniversidad de La Serena\, Chile \n  \n 
URL:https://www.iaa.csic.es/evento/the-stellar-halos-of-galaxies-and-outskirts-of-galaxy-clusters-clues-to-their-accretion-history/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:Seminarios
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