Author: Pooyan Goodarzi

CCG121: Multifractal Analysis: criteria for determining Self-similarity and Complexity of Stochastic Fields

Multifractal Analysis: criteria for determining Self-similarity and Complexity of Stochastic Fields Seyed Mohammad Sadegh Movahed Department of Physics, Shahid Beheshti University, Tehran, IranComputational cosmology group (CCG-SBU)Ibn-Sina Multidisciplinary Lab Sunday, 20 February 2021, 16:30 IRDThttps://meet.google.com/vfc-mtiw-osd

CCG120: Persistent Homology and Complex networks based analysis of cosmological fields

Persistent Homology and Complex networks based analysis of cosmological fields Seyed Mohammad Sadegh MovahedDepartment of Physics, Shahid Beheshti University, Tehran, IranComputational cosmology group (CCG-SBU)Ibn-Sina Multidisciplinary Lab Sunday, 13 February 2021, 16:30 IRDThttps://meet.google.com/vfc-mtiw-osd Abstract: Improving in observational achievements of the cosmological field, quantitatively and qualitatively, relying on methods that are essentially based on variety, volume, and production rate aspects have become an interesting method in clarifying properties that have been already characterized by traditional approaches in parameterization and put constraints. On the other hand, there are many challenges in determining the values of cosmological parameters and a new window for searching…

نشست۱۱۹: نوسانات تابش خورشیدی: داده‌های رصدی و بازسازی شده

🟣 نشست مشترک گروه کیهان‌شناسی محاسباتی و آزمایشگاه میان‌رشته‌ای ابن‌سینا 🔹 نوسانات تابش خورشیدی: داده‌های رصدی و بازسازی‌شده 🔹 ایمان طالبیدانشگاه شهید بهشتی 📆 زمان: یک‌شنبه، ۹ آبان‌ماه ۱۴۰۰، ساعت ۱۶:۰۰ 🔗 لینک محل برگزاری نوسانات تابش خورشیدی : داده‌های رصدی و بازسازی شده تا پیش از سال ۱۹۷۸ میزان کل نور تابش شده از خورشید (Total Solar Irradiance) که به اختصار TSI نامیده می‌شود مقداری ثابت فرض می‌شد و نوسانات آن به عدم دقت دستگاه های اندازه‌گیری نسبت داده می‌شد. با شروع ماموریت های فضایی اندازه گیری های دقیق TSI ممکن شد و نتایج حاصل از آن، نوسانات قطعی…

CCG118: Role of Thermal and Non-thermal Processes in the ISM of Magellanic Clouds

Hamid HassaniUniversity of Alberta یک‌شنبه، ۱۸ مهرماه ۱۴۰۰، ساعت ۱۶:۰۰Sunday, 10 October 2021, 16:00 IRDThttps://meet.google.com/vfc-mtiw-osd Abstract: Cosmological models indicate the importance of thermal feedback, i.e., radiation pressure and thermal winds, in quenching of star formation and evolution of galaxies. However, observations show that other factors such as turbulence, gas streaming, and magnetic fields can also decelerate massive star formation efficiently. Detailed studies of these thermal and non-themal processes in the interstellar medium is hence vital to understand the evolution of star formation in galaxies. Observations of the radio continuum emission as well as the CO, HI, and hydrogen recombination lines…

CCG116: Structure of cosmic web in non-linear regime: the nearest neighbour and spherical contact distributions

Structure of cosmic web in non-linear regime:the nearest neighbor and spherical contact distributions Mohammad AnsarifardDepartment of Physics,Sharif University of Technology Sunday, 12 September 2021, 16:00 IRDThttps://meet.google.com/vfc-mtiw-osd In cosmology, it’s common to use the two pointcorrelation function, to explore statistics. However indeeply non-linear regimes of the cosmic web, thestatistics is not Gaussian. As a result, the two-pointcorrelation function doesn’t probe all the information.We can make new quantities to reach more informationfrom non-linear regimes. The Spherical contact andNearest neighbor distributions are two example of suchfunctions. In this talk I’m going to speak aboutadvantage of these two functions and our new work MAet.al.…

نشست۱۰۶: آشکارسازی امواج گرانشی تصادفی با آرایه‌ی زمان‌سنجی تپ‌اخترها و به کمک یادگیری ماشین

آشکارسازی امواج گرانشی تصادفی با آرایه‌ی زمان‌سنجی تپ‌اخترها و به کمک یادگیری ماشین پویان گودرزی گروه کیهان‌شناسی محاسباتی، دانشگاه شهید بهشتی ویدئوی ضبط‌شده

CCG105: The effect of synchronization and false response duration on learning rate of neural networks

The effect of synchronization and false response durationon learning rate of neural networks Farzad KarimiIbn-Sina Multidisciplinary Lab,Shahid Beheshti University Recorded Video Abstract:Nowadays learning is one of the most importantresearch subjects in complex networks andcognitive dynamics. Numerous studies have shownthat Learning occurs in the critical state ofneuronal systems. In this presentation, I am goingto talk about Different types of synchronizationand have a review on the relation of criticality andsynchronization on integrating and fire oscillators.

CCG104: Topological Data Analysis – Persistent Homology

Topological Data Analysis – Persistent Homology Sina Ghafouri Ibn-Sina Multidisciplinary Lab,Shahid Beheshti University Recorded Video Abstract:The amount of available data has increased dramaticallyin recent years, and this situation necessitates thedevelopment of innovative and efficient data-processingmethods.Topological data analysis provides a set of tools tocharacterize the shape of data, in terms of the presenceof holes or cavities between the points. The main tool ispersistent homology, an adaptation of homology topoint cloud data.In this talk, we will see how persistent homology gives usa new insight into the data by looking at it globally. andalso the meaning of persistence and how it works.