CASTLE 2024

Contribution List

1. Welcome & opening remarks

Prof. Stefano Camera (Università degli Studi di Torino & INFN Torino)

18/09/2024, 09:30

2. State of the art of optical/near-infrared cosmological surveys

Dr Davide Bianchi

18/09/2024, 09:45

Review talk(s)

18. Model-Independent Measurement of the Matter-Radiation Equality Scale from DESI and Tactics for Upcoming Surveys

Benedict Bahr-Kalus

18/09/2024, 10:30

5. Future measurements of S8 parameter with tomographic cross-correlations between LSST and CMB experiments

Chandra Shekhar Saraf (Korea Astronomy and Space Science Institute)

18/09/2024, 11:25

13. Detecting Relativistic Doppler via Multi-tracing a Single Galaxy Population

Federico Montano (Istituto Nazionale di Fisica Nucleare)

18/09/2024, 11:50

6. State of the art of radio cosmological surveys

Marta Spinelli

18/09/2024, 13:45

Review talk(s)

14. Cosmology with HI Intensity Mapping on Small Scales

Aishrila Mazumder (Jodrell Bank Centre for Astrophysics, University of Manchester)

18/09/2024, 14:30

7. Unveiling the HI auto-power spectrum with MeerKAT

Matilde Barberi Squarotti (Università degli Studi di Milano)

18/09/2024, 14:55

10. Neutral Hydrogen stacking from MeerKLASS: challenges, results and prospects for SKA-Mid

Zhaoting Chen (University of Edinburgh)

18/09/2024, 15:50

11. Cross-correlating the Evolutionary Map of the Universe (EMU) Pilot Survey with CMB Lensing: Constraints on Cosmology and Galaxy Bias

Konstantinos Tanidis

18/09/2024, 16:15

15. Squeezing information from radio surveys to probe the primordial Universe

Dionisys Karagiannis

18/09/2024, 16:40

12. Fire talks

Roberto Scaramella (INAF - Osservatorio di Roma), Pierluigi Monaco (Istituto Nazionale di Fisica Nucleare), Bianca De Caro

18/09/2024, 17:05

9. State of the art of CMB surveys and complementary observables

Bin Hu (Beijing Normal University)

19/09/2024, 09:30

Review talk

4. Cross-Correlation between CIB and Galaxy Clustering

Jiakang Han (Istituto Nazionale di Fisica Nucleare)

19/09/2024, 10:15

16. Constraining the Growth History and Quasar Bias Evolution at High-z with Quaia

Giulia Piccirilli (Università di Roma Tor Vergata)

19/09/2024, 11:10

17. Model-independent test of General Relativity through the combination of the Weyl potential and Galaxy Velocities

Nastassia Grimm (University of Geneva)

19/09/2024, 11:35

19. Testing gravity through the distortion of time

Sveva Castello (University of Geneva)

19/09/2024, 12:00

20. Running primordial perturbations: prospects from future large-scale surveys

David Parkinson (Korea Astronomy and Space Science Institute)

19/09/2024, 13:55

21. Self-calibration of observational systematic effects

Roberto Ingrao (Istituto Nazionale di Fisica Nucleare)

19/09/2024, 14:20

22. On cosmological clustering of Graviational Wave events

José Fonseca (Institute of Astrophysics and Space Sciences, U. Porto)

19/09/2024, 14:45

23. Assembly bias in the local PNG halo bias and its implication for fNL constraints

Titouan Lazeyras (University of Milano Bicocca)

19/09/2024, 15:10

24. Importance of Relativistic Contributions to the Galaxy Bispectrum

Samantha Rossiter (Universita deglie studi di Torino)

19/09/2024, 16:05

53. Forecasting the sensitivity of pulsar timing arrays to scalar induced gravitational waves

Chiara Cecchini (Istituto Nazionale di Fisica Nucleare)

19/09/2024, 16:30

54. Damping wings in the Lyman-alpha forest: a model-independent measurement of the neutral fraction at 5.4<z<6.1

Benedetta Spina (Heidelberg University)

19/09/2024, 16:55

55. The infall region as a complementary probe to cluster counts

Charlie Mpetha (University of Edinburgh)

19/09/2024, 17:20

25. Machine learning for cosmology: from consistency tests to simulation based inference

Matteo Martinelli (Istituto Nazionale di Fisica Nucleare)

20/09/2024, 10:00

56. Machine Learning Identification of Strongly Lensed Gravitational Waves Events

Giulia Campailla (Istituto Nazionale di Fisica Nucleare)

20/09/2024, 10:25

57. A Trifecta of Modelling Tools: Navigating COMPAS, Shark and Bayesian Inference for Binary Black Hole Model Selection

Liana Rauf (Australian National University)

20/09/2024, 10:50

58. Wrap-up discussion

Panel TBD

20/09/2024, 11:15