Name: Reionization on a Blackboard
Start: 2022-09-19T08:30:00-04:00
End: 2022-09-22T18:00:00-04:00
Location: MfA

Reionization on a Blackboard

from Monday, September 19, 2022 (8:30 AM) to Thursday, September 22, 2022 (6:00 PM)

Monday, September 19, 2022

8:30 AM Breakfast / Check-in
Breakfast / Check-in
8:30 AM - 9:30 AM
Room: Alpha/Beta
9:30 AM Steve Finkelstein and Charlotte Mason (Part I)
Steve Finkelstein and Charlotte Mason (Part I)
9:30 AM - 10:30 AM
Room: Alpha/Beta
Contributions

9:30 AM What will the JWST teach us about the sources that drive reionization and the high redshift intergalactic medium?
10:30 AM Break
Break
10:30 AM - 11:00 AM
Room: Alpha/Beta
11:00 AM Steve Finkelstein and Charlotte Mason (Part II)
Steve Finkelstein and Charlotte Mason (Part II)
11:00 AM - 12:00 PM
Room: Alpha/Beta
Contributions

11:00 AM What will the JWST teach us about the sources that drive reionization and the high redshift intergalactic medium?
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Alpha/Beta

1:30 PM Parallel Session
Parallel Session
1:30 PM - 2:45 PM
Room: Alpha/Beta 1- Prospects for constraining Reionization History with the Ly-alpha Line: Transmission Statistics, Clustering, or other methods. 2- What are the most promising techniques for constraining Lyman-continuum escape from high-z galaxies? 3- Calibrating the relationship between galaxy properties and ionizing photon production. 4- Reaching for zero metallicity: what will we learn from JWST about Population III stars, the production of metals in galaxies, and the enrichment of the IGM.

2:45 PM Break
Break
2:45 PM - 3:00 PM
Room: Alpha/Beta

3:00 PM

3:00 PM - 4:00 PM
Room: Alpha/Beta

4:00 PM 5:00-6:00: Bar Area Reception "Cocktail Hour" 6:00-8:00: Seated Dinner in Amici Room
5:00-6:00: Bar Area Reception "Cocktail Hour" 6:00-8:00: Seated Dinner in Amici Room
4:00 PM - 6:00 PM
Tuesday, September 20, 2022

8:30 AM Breakfast / Check-in
Breakfast / Check-in
8:30 AM - 9:30 AM
Room: Alpha/Beta
9:30 AM (Sarah Bosman and Laura Keating (Part I))
(Sarah Bosman and Laura Keating (Part I))
9:30 AM - 10:30 AM
Room: Alpha/Beta
Contributions

9:30 AM What do current observations of the Lyman-alpha forest imply about reionization? Have we reached a consensus view? What more can we hope to learn from the forest in the future?
10:30 AM Break
Break
10:30 AM - 11:00 AM
Room: Alpha/Beta
11:00 AM (Sarah Bosman and Laura Keating (Part II))
(Sarah Bosman and Laura Keating (Part II))
11:00 AM - 12:00 PM
Room: Alpha/Beta
Contributions

11:00 AM What do current observations of the Lyman-alpha forest imply about reionization? Have we reached a consensus view? What more can we hope to learn from the forest in the future?
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Alpha/Beta

1:30 PM Parallel Session
Parallel Session
1:30 PM - 2:45 PM
Room: Alpha/Beta 1- How robust is the evidence for reionization ending as late as z~5? Have we found a smoking gun for late reionization? 2- How consistent are models of patchy reionization with late-time (z < 5.5) constraints from Lyman-alpha down to the Lyman continuum? How can these constraints be improved and how would they inform reionization models? 3- What new opportunities will come from spectra of the highest-redshift (z >~ 7) QSOs, including those found in upcoming surveys? How robust will the constraints be for the neutral fraction, metal enrichment, etc? 4- What are the best opportunities for combining Lyman-series absorption with other observations? What can we constrain?

2:45 PM Break
Break
2:45 PM - 3:00 PM
Room: Alpha/Beta

3:00 PM

3:00 PM - 4:00 PM
Room: Alpha/Beta

4:00 PM Lightning Talks
Lightning Talks
4:00 PM - 6:00 PM
Room: 7th Floor Classroom/7-Flatiron Institute
Wednesday, September 21, 2022

8:30 AM Breakfast / Check-in
Breakfast / Check-in
8:30 AM - 9:30 AM
Room: Alpha/Beta
9:30 AM Benedetta Ciardi and Anson D’Aloisio (Part I)
Benedetta Ciardi and Anson D’Aloisio (Part I)
9:30 AM - 10:30 AM
Room: Alpha/Beta
Contributions

9:30 AM What can we learn from different approaches to reionization modeling? Are there important missing ingredients in these models?
10:30 AM Break
Break
10:30 AM - 11:00 AM
Room: Alpha/Beta
11:00 AM Benedetta Ciardi and Anson D’Aloisio (Part II)
Benedetta Ciardi and Anson D’Aloisio (Part II)
11:00 AM - 12:00 PM
Room: Alpha/Beta
Contributions

11:00 AM What can we learn from different approaches to reionization modeling? Are there important missing ingredients in these models?
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Alpha/Beta

1:30 PM Parallel Session
Parallel Session
1:30 PM - 2:45 PM
Room: Alpha/Beta 1- Machine learning methods in reionization modeling and data analysis/inference. How can AI/ML tools (e.g. gaussian processes, convolutional neural networks, generative adversarial networks, graphs, symbolic regression) be used to improve theoretical modeling and data analysis/inference? The next three topics are meant to connect theoretical modeling to observations by answering questions like: Have we extracted all the available information from existing observations to constrain models? Which (ideal) observations would we like to have? Are our models appropriate to correctly interpret observations? 2- Modeling high-z galaxies. Example topics include: Are the modeling techniques appropriate for interpreting the observations correctly? Do different modeling techniques lead to different inferences? Are there important missing ingredients in existing models which may bias inferences? Are there ambiguities in comparing measured and modeled quantities? Which observations are most informative to modelers? Are the models predictive? Can current simulations model the escape fraction? 3- Modeling QSO absorption spectra. Example topics include: Are the modeling techniques appropriate for interpreting the observations correctly? Do different modeling techniques lead to different inferences? Are there important missing ingredients in existing models which may bias inferences? Are there ambiguities in comparing measured and modeled quantities? Which observations are most informative to modelers? Are the models predictive? 4- Modeling line intensity mapping and the CMB. Are the modeling techniques appropriate for interpreting the observations correctly? Do different modeling techniques lead to different inferences? Are there important missing ingredients in existing models which may bias inferences? Are there ambiguities in comparing measured and modeled quantities? Which observations are most informative to modelers? Are the models predictive?

2:45 PM Break
Break
2:45 PM - 3:00 PM
Room: Alpha/Beta

3:00 PM

3:00 PM - 4:00 PM
Room: Alpha/Beta

4:00 PM

4:00 PM - 6:00 PM
Room: 5th Floor Classroom/5-Flatiron Institute
Thursday, September 22, 2022

8:30 AM Breakfast / Check-in
Breakfast / Check-in
8:30 AM - 9:30 AM
Room: Alpha/Beta
9:30 AM (Kirit Karkare and Adrian Liu (Part I))
(Kirit Karkare and Adrian Liu (Part I))
9:30 AM - 10:30 AM
Room: Alpha/Beta
Contributions

9:30 AM What can we expect to learn about reionization from upcoming, near-future redshifted 21 cm, cosmic microwave background, and line-intensity mapping observations?
10:30 AM Break
Break
10:30 AM - 11:00 AM
Room: Alpha/Beta
11:00 AM (Kirit Karkare and Adrian Liu (Part II))
(Kirit Karkare and Adrian Liu (Part II))
11:00 AM - 12:00 PM
Room: Alpha/Beta
Contributions

11:00 AM What can we expect to learn about reionization from upcoming, near-future redshifted 21 cm, cosmic microwave background, and line-intensity mapping observations?
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Alpha/Beta

1:30 PM Parallel Session
Parallel Session
1:30 PM - 2:45 PM
Room: Alpha/Beta 1- What will it take to establish an initial 21 cm detection of either the fluctuating or global signal and convince the community that the measurement is real? Which systematics are most worrisome? How about for other line-intensity mapping (LIM) signals? 2- For interpreting 21 cm/LIM/kSZ measurements, how should we best parameterize our ignorance of the ionizing sources and other relevant, yet uncertain, quantities? How do we incorporate observational constraints into our models and which current/future observations are most useful? Which aspects of 21 cm/LIM/kSZ modeling are least under control? 3- How to best extract the reionization-era kSZ signal and what will we learn from it? How do we separate it from the post-reionization kSZ and other foregrounds? 4- What are the most interesting plausible signatures of dark matter properties in future 21 cm measurements during reionization, cosmic dawn, and the dark ages?

2:45 PM Break
Break
2:45 PM - 3:00 PM
Room: Alpha/Beta

3:00 PM

3:00 PM - 4:00 PM
Room: Alpha/Beta

4:00 PM

4:00 PM - 6:00 PM
Room: 12th Floor Rooftop/12-Flatiron Institute