Publikationen von Anik Halder

Gong, Z.; Halder, A.; Bohrdt, A.; Seitz, S.; Gebauer, D.: C3NN: Cosmological Correlator Convolutional Neural Network an Interpretable Machine-learning Framework for Cosmological Analyses. ASTROPHYSICAL JOURNAL 971 (2), 156 (2024)

Halder, A.; Gong, Z.; Barreira, A.; Friedrich, O.; Seitz, S.; Gruen, D.: Beyond 3×2-point cosmology: the integrated shear and galaxy 3-point correlation functions. Journal of Cosmology and Astroparticle Physics 2023 (10), 028 (2023)

Gong, Z.; Halder, A.; Barreira, A.; Seitz, S.; Friedrich, O.: Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators. Journal of Cosmology and Astroparticle Physics 2023 (7), 040 (2023)

Halder, A.; Barreira, A.: Response approach to the integrated shear 3-point correlation function: the impact of baryonic effects on small scales. Monthly Notices of the Royal Astronomical Society 515 (3), S. 4639 - 4654 (2022)

Friedrich, O.; Halder, A.; Boyle, A.; Uhlemann, C.; Britt, D.; Codis, S.; Gruen, D.; Hahn, C.: The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise. Monthly Notices of the Royal Astronomical Society 510 (4), S. 5069 - 5087 (2021)

Halder, A.: The Integrated 3-Piont Correlation Functions of Cosmic Shear and Projected Galaxy Density Fields. Dissertation, 196 S., Ludwig Maximilians Universität, München, Germany (2024)