2.4σ→3.6σ, CMB Birefringence in 2022 (Diego-Palazuelos & Eskilt)

Johannes Røsok Eskilt and Patricia Diego-Palazuelo update us on the state of measurements of birefringence in the cosmic microwave background in 2022. The current most popular video on the channel was about a tentative hint of CMB birefringence back in 2020 and much can change in two years.

The tentative hint is very much still present. Johannes and Patricia are both members of Planck itself and have spent the last few years checking for systematics, taking the effects of EB correlations in the dust into account, adding WMAP data, adding additional frequency maps from Planck, and checking for a frequency dependence of the signal. Continue reading

7σ (!?) detection of parity violation in the large scale structure (Hou, Slepian and Cahn)

Jiamin Hou, Zachary (Zack) Slepian, and Robert (Bob) Cahn talk about their very interesting, recent paper looking for parity violation in the large scale structure. Cutting to the chase, they find evidence for it at ~7σ. They also do various systematic tests and none reduce the significance below 4σ.

Tantalisingly, parity violation in the LSS could be related to birefringence in the cosmic microwave background, with many models that would produce one, also producing the other. Avid channel viewers will remember a talk from two years ago with evidence for exactly that. Continue reading

The Kilo-Degree Survey goes non-linear. With cosmology constraints! (Dvornik & Mahony)

Andrej Dvornik and Constance Mahony tell us about the Kilo-Degree Survey (KiDS) and their progress at probing the non-linear scales with data from the survey.

Constance talks about her recent paper showing that non-linear halo bias is absolutely necessary if you want to avoid errors larger than 5σ on the small, non-linear scales.

Andrej takes this and does the analysis on KiDS data to obtain cosmological constraints.

Constance: INSPIRE author page

Constance’s paper: arxiv.org/abs/2202.01790

Andrej: Personal Website

Andrej’s paper: arxiv.org/abs/2210.03110

Silvia Manconi – Planck polarisation beats intensity for dark matter searches at the galactic centre

Silvia tells us about her recent use of Planck satellite data to search for dark matter. She doesn’t use the CMB though, instead she is looking for microwave emission from the galactic centre. For her, the CMB is noise!

If dark matter decay/annihilation leads to electron positron emission then those electrons and positrons would emit microwave light through synchrotron radiation as they travel through the magnetic fields at the galactic centre.

She found that the polarisation signal is a more sensitive probe of this effect than the intensity. The main theory for why this is is that the observed signal in the polarisation has more features (coherent hot and cold spots), whereas the expected dark matter signal should be more smooth. Whereas both the intensity measurement and signal should be more smooth. Therefore, the observed polarisation “cold spots” can best constrain the dark matter signal, especially close to the galactic centre, where the dark matter signal should still be strong. Continue reading

Lensing & clustering are consistent. Small scales are tough but key to solving S₈

Alex Amon and Naomi Robertson talk about their recent work analysing all of the Dark Energy Survey (DES), the Hyper Suprime Cam survey (HSC), and the Kilo Degree Survey (KiDS) and the Baryon Oscillation Spectroscopic Survey (BOSS). In particular they look to see whether the three lensing surveys (DES, HSC and KiDS) are consistent with the clustering of galaxies in BOSS. Continue reading

Sultan Hassan – Full non-linear density fields without simulations! (HIFlow/CAMELS)

Sultan tells us about his work training neural networks on the neutral hydrogen density fields in the CAMELS simulations.

He uses a process known as normalising flows to find a mapping between the non-linear, very non-Gaussian 2D projected density field and a different Gaussian field. Once this mapping is found, the idea is that one can do full statistics on the non-linear field, by sampling from the Gaussian one. The bold ambition is to use this process to reduce the need for running computationally expensive hydrodynamical simulations – making it more feasible to get precise cosmological constraints from future surveys. Continue reading

Lucia Perez – Fixing CAMELS biggest flaw (small box sizes) with semi-analytic models

Lucia tells us about her work with CAMELS trying to overcome the biggest barrier CAMELS faces, small box size. It might never be possible to run 1000s of large volume hydrodynamical simulations simply because the hierarchy of scales is too big (baryon feedback happens on small scales, overcoming sample variance requires very large boxes).

Therefore, to get many many simulation boxes, with baryonic effects in them one option is semi-analytic models. This is what Lucia has and is doing and what she discusses in the video…

Lucia: https://isearch.asu.edu/profile/2606833

Paper: Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite [2204.02408]