Collaboration Workshop on Cosmology and Galaxy Formation

Session

Cosmology

Jun 19, 2023, 10:50 AM

3rd floor meeting room (SJTU & Suzhou Bay)

Conveners

Cosmology

• Pengjie Zhang (Shanghai Jiao Tong University)

11. Measurement of the BAO with projected three-dimensional correlation function on DES Y3 data

Kwan Chuen Chan (Sun-Yat Sen University)

6/19/23, 10:50 AM

Inference

Talk

We develop a new statistic, the projected three-dimensional correlation function, for the clustering analysis of the imaging galaxy survey data. This method can retain some of the radial information that is lost in conventional tomographic angular correlation analysis. As it is not strongly correlated with the angular correlation results, it can also provide important crosscheck. We have...

25. The optimal BAO reconstruction for DESI Y1-KP4

Zhejie Ding (Shanghai Jiao Tong University)

6/19/23, 11:10 AM

Inference

Talk

Dark Energy Spectroscopic Instrument (DESI) is the first on-going Stage IV spectroscopic redshift survey, covering a wide sky area and redshift range. As one of the key goals, DESI will measure the Baryon Acoustic Oscillations (BAO) from different tracers, including BGS, LRG, ELG and QSO at different redshifts. The density field reconstruction is significantly important to reduce the...

27. Map Reconstruction of radio observations with Conditional Invertible Neural Networks

Le Zhang (中山大学)

6/19/23, 11:30 AM

Inference

Talk

In radio astronomy, reconstructing a sky map from time ordered data (TOD) is an inverse problem. Map-making techniques and gridding algorithms are commonly used, but they have limitations such as computational inefficiency, numerical instability, and an inability to remove beam effects. To address these issues, this study proposes a novel solution using the conditional invertible neural...

3. Removal of point source leakage from time-order data filtering

Ms Zhaoxuan Zhang (Sun Yat-sen University)

6/19/23, 11:50 AM

Inference

Talk

Time-ordered data (TOD) from ground-based CMB experiments is usually filtered before map-making to reduce the contamination from ground and atmospheric emissions. However, when the observation region contains strong point sources, the filtering process will cause a considerable leakage around the point sources, which should be eliminated to provide a clean CMB polarization map for scientific...