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X-WR-CALDESC:Events for Instituto de Física Teórica
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DTSTART;TZID=Europe/Madrid:20260921T110000
DTEND;TZID=Europe/Madrid:20260921T133000
DTSTAMP:20260910T100923
CREATED:20260908T111916Z
LAST-MODIFIED:20260908T111916Z
UID:25541-1789988400-1789997400@www.ift.uam-csic.es
SUMMARY:PhD Defense by Indira Ocampo Justiniano: A machine learning approach for unraveling the nature of dark matter and dark energy
DESCRIPTION:Title: A machine learning approach for unraveling the nature of dark matter and dark energy\n\nVenue & Time: Red Room / 11:00-13:30\n\nAbstract: Cosmology nowadays is benefiting from an exponential increase of data\, transforming into a precision science. This will help us understand better two of the most important open issues in theoretical physics\, namely understanding the nature of dark matter (DM) and dark energy (DE). \nHowever\, the vast quantity and quality of the data collected from present and upcoming cosmological surveys has become so demanding that sophisticated computational tools are required. As a result\, machine learning (ML) methods are being implemented for data analysis and model constraints\, with the hope of alleviating tensions in the parameters inferred from different cosmological probes. \nA significant challenge remains in the complexity of these models: as architectures become more accurate\, this usually comes with the trade-off of their interpretability. This can lead to a lack of transparency and trustworthiness in a field that demands validation based on physical laws rather than artifacts arising during training. \nThe research presented in this thesis focuses on different ML architectures based on neural networks (NNs) to search for signatures of physics beyond ΛCDM. In Chapter 4\, we train a convolutional neural network on the Quijote N-body simulations to perform parameter inference of fσ8. \nIn Chapter 5\, we discuss the results of testing a type of Coupled Dark Energy model against ΛCDM\, by training an NN to discriminate the simulated fσ8 data. We extended this approach in Chapter 6\, by testing another alternative to ΛCDM\, the f(R) Hu-Sawicki model\, while this time we applied LIME (Local Interpretable Model-agnostic Explanations) after the NN was trained. LIME serves as an interpretability framework that assigns importance scores to input data\, identifying the features most relevant to the model’s decision-making. For both Chapter 5 and Chapter 6\, data simulations were tailored to the DESI survey specifications. \nIn Chapter 7\, we applied a similar pipeline trained on Cosmic Microwave Background simulated temperature and polarisation power spectra. For this project\, we targeted the Planck mission\, simulating data coming from ΛCDM\, f(R) and a non-standard oscillating feature in the primordial power spectrum. To explain individual model predictions\, we implement SHAP (SHapley Additive exPlanations). \nIn Chapter 8\, we extend this analysis by performing the training and interpretability analysis directly on the CMB maps\, integrated into my publicly available package SkyExplain¹. \nFinally\, in the Conclusions and future challenges\, I draw the main conclusions and discuss future work.
URL:https://www.ift.uam-csic.es/event/phd-defense-by-indira-ocampo-justiniano-a-machine-learning-approach-for-unraveling-the-nature-of-dark-matter-and-dark-energy/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:PhD Dissertation,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20260921T150000
DTEND;TZID=Europe/Madrid:20260921T170000
DTSTAMP:20260910T100923
CREATED:20260821T101946Z
LAST-MODIFIED:20260821T102628Z
UID:25494-1790002800-1790010000@www.ift.uam-csic.es
SUMMARY:Seminar Georg Weiglein (DESY)
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/seminar-georg-weiglein-desy/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Scientific activities,Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20261015T150000
DTEND;TZID=Europe/Madrid:20261015T160000
DTSTAMP:20260910T100923
CREATED:20260617T105750Z
LAST-MODIFIED:20260617T105750Z
UID:25206-1792076400-1792080000@www.ift.uam-csic.es
SUMMARY:IFT Colloquium by Mark Srednicki (UC Santa Barbara)
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/ift-colloquium-by-mark-srednicki-uc-santa-barbara/
CATEGORIES:Colloquia,Scientific activities
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20261015T150000
DTEND;TZID=Europe/Madrid:20261015T170000
DTSTAMP:20260910T100923
CREATED:20260821T102537Z
LAST-MODIFIED:20260821T102537Z
UID:25498-1792076400-1792083600@www.ift.uam-csic.es
SUMMARY:Outreach Event Arts & Science
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/outreach-event-arts-science/
LOCATION:IFT Auditorium\, Instituto de Física Teórica (IFT) - C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, Madrid\, 28049\,\, Spain
CATEGORIES:Outreach events,Scientific culture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20261019T150000
DTEND;TZID=Europe/Madrid:20261019T160000
DTSTAMP:20260910T100923
CREATED:20260617T110552Z
LAST-MODIFIED:20260617T110552Z
UID:25208-1792422000-1792425600@www.ift.uam-csic.es
SUMMARY:Seminar by Mark Srednicki
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/seminar-by-mark-srednicki/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Scientific activities,Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20261026T150000
DTEND;TZID=Europe/Madrid:20261026T173000
DTSTAMP:20260910T100923
CREATED:20260821T104220Z
LAST-MODIFIED:20260821T104220Z
UID:25500-1793026800-1793035800@www.ift.uam-csic.es
SUMMARY:Eduardo Peinado (Mexico U.)
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/eduardo-peinado-mexico-u/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Scientific activities,Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20261105T080000
DTEND;TZID=Europe/Madrid:20261105T170000
DTSTAMP:20260910T100923
CREATED:20260821T104307Z
LAST-MODIFIED:20260821T104307Z
UID:25502-1793865600-1793898000@www.ift.uam-csic.es
SUMMARY:Seminar Claudia Frugiuele (INFN\, Milan). TBA
DESCRIPTION:TBA
URL:https://www.ift.uam-csic.es/event/seminar-claudia-frugiuele-infn-milan-tba/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Scientific activities,Seminars
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