FY13 Cosmic Frontier Experimental Research Program – Lab Review Argonne National Laboratory Background Material Program Status & Plans

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Selected Invited Presentations

  1. “HACC: Relevant Computational Cosmology for LSST-DESC”, S. Habib, LSST-DESC meeting, SLAC, Menlo Park, CA, January 2013

  2. “Precision Cosmology with Cosmic Emulators”, J. Kwan, IPMU, Tokyo, Japan, March 2013

  3. “Computing the Universe: How to Stuff a Supercomputer Inside a Laptop”, S. Habib, Northwestern University, Physics and Astronomy Colloquium, Evanston, IL, May 2103.

6.a.4. Terrestrial Tests of Modified Gravity

Laboratory experiments constrain couplings between dark energy and Standard Model particles. A matter-coupled dark energy will mediate a fifth force, which can be tested using a torsion balance experiment such as Eot-Wash at the University of Washington.  With collaborators at UChicago and UPenn, AmolUpadhye showed that Eot-Wash is on the verge of eliminating a large class of chameleon dark energy models whose quantum corrections are well-controlled up to laboratory and stellar densities [1-3]. Particles of a photon-coupled dark energy can be produced through laser oscillation in a magnetic field, in much the same way as axions. As a member of the GammeV collaboration at Fermilab, Upadhye conducted a Monte Carlo simulation of the CHASE experiment, which attempted to produce dark energy particles through photon oscillation and then to detect the “afterglow” arising as they regenerate photons much later. Using simulations, Upadhye studied systematic uncertainties in the experiment and analyzed its data [4]. This work has received considerable attention in the field and has been presented at numerous workshops and conferences.


[1] A. Upadhye, “Symmetron dark energy in laboratory experiments”, Phys.Rev.Lett. 110, 031301 (2013)

[2] A. Upadhye, “Dark energy fifth forces in torsion pendulum experiments”, Phys.Rev. D86, 102003 (2012)

  1. Upadhye, W. Hu, and J. Khoury, “Quantum Stability of Chameleon Field Theories”, Phys.Rev.Lett. 109, 041301 (2012).

  2. Upadhye, J. H. Steffen, and A. S. Chou, “Designing dark energy afterglow experiments”, Phys.Rev. D86, 035006 (2012).

Selected Invited Presentations

  1. “High-intensity searches for dark energy and modified gravity”, A. Upadhye, Community Summer Study 2013 (Snowmass on the Mississippi), Minneapolis, MN, August 2, 2013.

  2. “Modified gravity from the micron to the megaparsec”, A. Upadhye, Novel Probes of Gravity and Dark Energy Workshop, Philadelphia, PA, April 26, 2013.

  3. “New forces and particles from dark energy”, A. Upadhye, Physics Seminar, University of Washington, Seattle, WA, December 4, 2012.

  4. “How dark is dark energy?” A. Upadhye, Dark Matter 2012 Symposium, Marina del Rey, CA, February 22, 2012.

  5. “Chameleon dark energy at the intensity frontier”, A. Upadhye, Intensity Frontier Workshop, Rockville, MD, November 30, 2011.

6.a.5 Supernova Science

Argonne scientists have become a very strong group in the science of supernovae (SNe), playing important roles in DES and LSST. These are listed below:

  • DES

    • Post-doc Joe Bernstein published [1] the definition of the DES supernova survey

      • Defined fields, filters, exposure times, and cadence.

      • One of the first simulation studies of core collapse contamination.

      • Experimental systematic uncertainties studied and impact on DETF FoM.

      • Figure 3 (left) shows the expected DES redshift distribution.

      • Figure 3 (middle) shows the expected DES SNe Hubble diagram, with both the simulated Type Ia sample and the core collapse SNe.

    • Working with undergraduate Eda Gjergo, we published [2] a follow-up study on the sensitivity of cosmology results to sample purity, shown in Figure 3 (right).

    • Post-doc Rahul Biswas has been studying DES SNe light-curve systematics as part of the Joint Light-Curve Analysis (JLA) of SDSS and SNLS data.

    • Staff members Eve Kovacs and Kuhlmann are core developers of the SNANA software package, currently the most complete and sophisticated simulation and analysis package for SNe cosmology.

    • Argonne is the lead institution in providing DES SNe simulations for the entire group, also hosting the simulation page: http://www.hep.anl.gov/des/simulations/

    • Kuhlmann is the only DES SN member to simulate the full DES survey cadence, using the realistic online-database observation tactician. Finding a precise balance between the main survey and SN survey, as well as maintaining a world-class cadence significantly better than SNLS, has been a major activity for the DES SN group this year.

    • Argonne scientists played a major role in human scanning of SNe candidates during and after the DES Science Verification (SV) period, scanning 65000 candidates which were 26% of all DES scanned candidates.

    • Leader in the light-curve analysis of DES SV data and debugging of analysis software, including photometric typing algorithms and photometric redshifts.

    • Argonne Director’s Fellow Kyle Barbary has developed a modern, modular, Python-based SNe analysis package that easily compares SNe models, fits DES light-curves, and performs photometric typing. http://sncosmo.readthedocs.org/en/latest/index.html

  • LSST

    • With SULI student Sam Stunkel, performed the only 10-year full simulations of the LSST Deep-Drilling fields, testing eight different survey options: http://www.hep.anl.gov/sstunkel/LSST/

    • Performing a critical study of LSST filter vendors, working with LSST camera project manager Kirk Gilmore, and the impact filter choice has on SNe science.

Figure 3: The redshift distribution is plotted, as a function of signal-to-noise selection, from Ref. [1] of the simulated DES supernova survey definition (left). The DES SNe Hubble diagram is also shown from Ref. [1] (middle). The impact of Type Ia sample purity on the cosmology Figure of Merit, is shown from Ref. [2] (right).

Publications (selected)

[1] “Supernova Simulations and Strategies For the Dark Energy Survey”, J.P. Bernstein et al., Astrophys.J. 753 (2012) 152

[2] “Type Ia Supernovae Selection and Forecast of Cosmology Constraints for the Dark Energy Survey”, E. Gjergo et al., Astropart. Phys. 42 (2013) 52-61

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