Snowmass2021 Cosmic Frontier White Paper: Prospects for obtaining Dark Matter Constraints with DESI

Kavli Affiliate: Risa Wechsler | First 5 Authors: Monica Valluri, Solene Chabanier, Vid Irsic, Eric Armengaud, Michael Walther | Summary: Despite efforts over several decades, direct-detection experiments have not yet led to the discovery of the dark matter (DM) particle. This has led to increasing interest in alternatives to the Lambda CDM (LCDM) paradigm and […]


Continue.. Snowmass2021 Cosmic Frontier White Paper: Prospects for obtaining Dark Matter Constraints with DESI

Snowmass2021 Cosmic Frontier White Paper: Prospects for obtaining Dark Matter Constraints with DESI

Kavli Affiliate: Risa Wechsler | First 5 Authors: Monica Valluri, Solene Chabanier, Vid Irsic, Eric Armengaud, Michael Walther | Summary: Despite efforts over several decades, direct-detection experiments have not yet led to the discovery of the dark matter (DM) particle. This has led to increasing interest in alternatives to the Lambda CDM (LCDM) paradigm and […]


Continue.. Snowmass2021 Cosmic Frontier White Paper: Prospects for obtaining Dark Matter Constraints with DESI

The Future of Gamma-Ray Experiments in the MeV-EeV Range

Kavli Affiliate: Nicola Omodei | First 5 Authors: Kristi Engel, Jordan Goodman, Petra Huentemeyer, Carolyn Kierans, Tiffany R. Lewis | Summary: Gamma-rays, the most energetic photons, carry information from the far reaches of extragalactic space with minimal interaction or loss of information. They bring messages about particle acceleration in environments so extreme they cannot be […]


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Snowmass2021 Cosmic Frontier White Paper: Dark Matter Physics from Halo Measurements

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Keith Bechtol, Simon Birrer, Francis-Yan Cyr-Racine, Katelin Schutz, Susmita Adhikari | Summary: The non-linear process of cosmic structure formation produces gravitationally bound overdensities of dark matter known as halos. The abundances, density profiles, ellipticities, and spins of these halos can be tied to the underlying fundamental […]


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Snowmass2021: Vera C. Rubin Observatory as a Flagship Dark Matter Experiment

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Yao-Yuan Mao, Annika H. G. Peter, Susmita Adhikari, Keith Bechtol, Simeon Bird | Summary: Establishing that Vera C. Rubin Observatory is a flagship dark matter experiment is an essential pathway toward understanding the physical nature of dark matter. In the past two decades, wide-field astronomical surveys […]


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Snowmass2021 Cosmic Frontier White Paper: Rubin Observatory after LSST

Kavli Affiliate: Steven M. Kahn | First 5 Authors: Bob Blum, Seth W. Digel, Alex Drlica-Wagner, Salman Habib, Katrin Heitmann | Summary: The Vera C. Rubin Observatory will begin the Legacy Survey of Space and Time (LSST) in 2024, spanning an area of 18,000 square degrees in six bands, with more than 800 observations of […]


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Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

Kavli Affiliate: Susan Clark | First 5 Authors: Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink | Summary: Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational […]


Continue.. Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

Kavli Affiliate: Susan Clark | First 5 Authors: Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink | Summary: Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational […]


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LINNA: Likelihood Inference Neural Network Accelerator

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Chun-Hao To, Eduardo Rozo, Elisabeth Krause, Hao-Yi Wu, Risa H. Wechsler | Summary: Bayesian posterior inference of modern multi-probe cosmological analyses incurs massive computational costs. For instance, depending on the combinations of probes, a single posterior inference for the Dark Energy Survey (DES) data had a […]


Continue.. LINNA: Likelihood Inference Neural Network Accelerator