Search

Your search keyword '"Kessler, Richard"' showing total 15 results
Start Over Author "Kessler, Richard" Language undetermined
15 results on '"Kessler, Richard"'

1. The simulated catalogue of optical transients and correlated hosts (SCOTCH)

Author

Lokken, Martine, Gagliano, Alexander, Narayan, Gautham, Hložek, Renée, Kessler, Richard, Crenshaw, John Franklin, Salo, Laura, Alves, Catarina S., Chatterjee, Deep, Vincenzi, Maria, Malz, Alex I., and Collaboration, The LSST Dark Energy Science

Subjects
High Energy Astrophysical Phenomena (astro-ph.HE), Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

As we observe a rapidly growing number of astrophysical transients, we learn more about the diverse host galaxy environments in which they occur. Host galaxy information can be used to purify samples of cosmological Type Ia supernovae, uncover the progenitor systems of individual classes, and facilitate low-latency follow-up of rare and peculiar explosions. In this work, we develop a novel data-driven methodology to simulate the time-domain sky that includes detailed modeling of the probability density function for multiple transient classes conditioned on host galaxy magnitudes, colours, star formation rates, and masses. We have designed these simulations to optimize photometric classification and analysis in upcoming large synoptic surveys. We integrate host galaxy information into the SNANA simulation framework to construct the Simulated Catalogue of Optical Transients and Correlated Hosts (SCOTCH), a publicly-available catalogue of 5 million idealized transient light curves in LSST passbands and their host galaxy properties over the redshift range $0, Comment: 30 pages, 21 figures. Updated to reflect version published in MNRAS Vol. 520, Issue 2. This version improves the treatment of transient-host offsets and AGN host correlations. Associated SCOTCH files are available through Zenodo at https://doi.org/10.5281/zenodo.7563623

Published
2023
Full Text
View/download PDF

2. Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era

Author

Mitra, Ayan, Kessler, Richard, More, Surhud, Hlozek, Renee, and Collaboration, The LSST Dark Energy Science

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Space and Planetary Science, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We perform a rigorous cosmology analysis on simulated type Ia supernovae (SN~Ia) and evaluate the improvement from including photometric host-galaxy redshifts compared to using only the "zspec" subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (~50 deg^2) from the Photometric LSST Astronomical Time-Series Classification Challenge (PLaSTiCC), in combination with a low-z sample based on Data Challenge2 (DC2). The analysis includes light curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-z uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the zspec subset, including events with SN+host photo-z results in i) more precise distances for z>0.5, ii) a Hubble diagram that extends 0.3 further in redshift, and iii) a 50 % increase in the Dark Energy Task Force figure of merit (FoM) based on the w0-wa CDM model. Analyzing 25 simulated data samples, the average bias on w0 and wa is consistent with zero. The host photo-z systematic of 0.01 reduces FoM by only 2 % because i) most z, 13 pages, 9 figures, 7 tables. Submitted to ApJ

Published
2023
Full Text
View/download PDF

3. The Pantheon+ Analysis: Forward-Modeling the Dust and Intrinsic Colour Distributions of Type Ia Supernovae, and Quantifying their Impact on Cosmological Inferences

Author

Popovic, Brodie, Brout, Dillon, Kessler, Richard, and Scolnic, Daniel

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics of Galaxies (astro-ph.GA), FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Recent studies have shown that the observed colour distributions of Type Ia SNe (SNIa) are well-described by a combination of distributions from dust and intrinsic colour. Here we present a new forward-modeling fitting method (Dust2Dust) to measure the parent dust and colour distributions, including their dependence on host-galaxy mass. At each fit step, the SNIa selection efficiency is determined from a large simulated sample that is re-weighted to reflect the proposed distributions. We use five separate metrics to constrain the Dust2Dust parameters: distribution of fitted light-curve colour $c$, cosmological residual trends with $c$, cosmological residual scatter with $c$, fitted colour-luminosity relationship $\beta_{\rm SALT2}$, and intrinsic scatter $\sigma_{\rm int}$. Using the Pantheon+ data sample, we present results for a Dust2Dust fit that includes 4 parameters describing intrinsic colour variations and 8 parameters describing dust. Furthermore, we propagate the Dust2Dust parameter uncertainties and covariance to the dark energy equation-of-state $w$ and Hubble constant H$_0$: we find $\sigma_w = 0.005$ and $\sigma_{\textrm{H}_0} = 0.145~$km/s/Mpc. The Dust2Dust code is publically available.

Published
2021
Full Text
View/download PDF

4. Dependences of Type Ia Supernovae Lightcurve Parameters on the Host Galaxy Star Formation Rate and Metallicity

Author

Konishi, Kohki, Cinabro, David, Garnavich, Peter M., Ihara, Yutaka, Kessler, Richard, Marriner, John, Schneider, Donald P., Mathew Smith, Spinka, Harold, Wheeler, J. Craig, and Yasuda, Naoki

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::High Energy Astrophysical Phenomena, Astrophysics::Solar and Stellar Astrophysics, FOS: Physical sciences, Astrophysics::Earth and Planetary Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present the dependences of the properties of type Ia Supernovae (SNe Ia) on their host galaxies by analyzing the multi-band lightcurves of 118 spectroscopically confirmed SNe Ia observed by the Sloan Digital Sky Survey (SDSS) Supernova Survey and the spectra of their host galaxies. We derive the equivalent width of the \rm{H}$\alpha$ emission line, star formation rate, and gas-phase metallicity from the spectra and compare these with the lightcurve widths and colors of SNe Ia. In addition, we compare host properties with the deviation of the observed distance modulus corrected for lightcurve parameters from the distance modulus determined by the best fit cosmological parameters. This allows us to investigate uncorrected systematic effects in the magnitude standardization. We find that SNe Ia in host galaxies with a higher star formation rate have synthesized on average a larger $^{56}$Ni mass and show wider lightcurves. The $^{56}$Ni mass dependence on metallicity is consistent with a prediction of Timmes et al. 2003 based on nucleosynthesis. SNe Ia in metal-rich galaxies ({$\log_{10}(O/H)+12>8.9$) have become 0.13 $\pm$ 0.06 magnitude brighter after corrections for their lightcurve widths and colors, which corresponds to up to 6% uncertainty in the luminosity distance. We investigate whether parameters for standardizing SN Ia maximum magnitude differ among samples with different host characteristics. The coefficient of the color term is larger by 0.67 $\pm$ 0.19 for SNe Ia in metal-poor hosts than those in metal-rich hosts when no color cuts are imposed., Comment: 41 pages, 10 figures and 2 tables, submitted to ApJ

Published
2011
Full Text
View/download PDF

5. Measurements of the Rate of Type Ia Supernovae at Redshift z < ~0.3 from the SDSS-II Supernova Survey

Author

Dilday, Benjamin, Smith, Mathew, Bassett, Bruce, Becker, Andrew, Bender, Ralf, Castander, Francisco, Cinabro, David, Filippenko, Alexei V., Frieman, Joshua A., Galbany, Lluis, Garnavich, Peter M., Goobar, Ariel, Hopp, Ulrich, Ihara, Yutaka, Jha, Saurabh W., Kessler, Richard, Lampeitl, Hubert, Marriner, John, Miquel, Ramon, Molla, Mercedes, Nichol, Robert C., Nordin, Jakob, Riess, Adam G., Sako, Masao, Schneider, Donald P., Sollerman, Jesper, Wheeler, J. Craig, Ostman, Linda, Bizyaev, Dmitry, Brewington, Howard, Malanushenko, Elena, Malanushenko, Viktor, Oravetz, Dan, Pan, Kaike, Simmons, Audrey, and Snedden, Stephanie

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences
Abstract

We present a measurement of the volumetric Type Ia supernova (SN Ia) rate based on data from the Sloan Digital Sky Survey II (SDSS-II) Supernova Survey. The adopted sample of supernovae (SNe) includes 516 SNe Ia at redshift z \lesssim 0.3, of which 270 (52%) are spectroscopically identified as SNe Ia. The remaining 246 SNe Ia were identified through their light curves; 113 of these objects have spectroscopic redshifts from spectra of their host galaxy, and 133 have photometric redshifts estimated from the SN light curves. Based on consideration of 87 spectroscopically confirmed non-Ia SNe discovered by the SDSS-II SN Survey, we estimate that 2.04+1.61-0.95 % of the photometric SNe Ia may be misidentified. The sample of SNe Ia used in this measurement represents an order of magnitude increase in the statistics for SN Ia rate measurements in the redshift range covered by the SDSS-II Supernova Survey. If we assume a SN Ia rate that is constant at low redshift (z < 0.15), then the SN observations can be used to infer a value of the SN rate of rV = (2.69+0.34+0.21-0.30-0.01) x10^{-5} SNe yr^{-1} Mpc-3 (H0 /(70 km s^{-1} Mpc^{-1}))^{3} at a mean redshift of ~ 0.12, based on 79 SNe Ia of which 72 are spectroscopically confirmed. However, the large sample of SNe Ia included in this study allows us to place constraints on the redshift dependence of the SN Ia rate based on the SDSS-II Supernova Survey data alone. Fitting a power-law model of the SN rate evolution, r_V(z) = A_p x ((1 + z)/(1 + z0))^��, over the redshift range 0.0 < z < 0.3 with z0 = 0.21, results in A_p = (3.43+0.15-0.15) x 10^{-5} SNe yr^{-1} Mpc-3 (H0 /(70 km s^{-1} Mpc^{-1}))^{3} and ��= 2.04+0.90-0.89., 80 pages. v2 updates a few references.

Published
2010
Full Text
View/download PDF

6. First-Year Spectroscopy for the SDSS-II Supernova Survey

Author

Zheng, Chen, Romani, Roger W., Sako, Masao, Marriner, John, Bassett, Bruce, Becker, Andrew, Choi, Changsu, Cinabro, David, DeJongh, Fritz, Depoy, Darren L., Dilday, Ben, Doi, Mamoru, Frieman, Joshua A., Garnavich, Peter M., Hogan, Craig J., Holtzman, Jon, Im, Myungshin, Jha, Saurabh, Kessler, Richard, Konishi, Kohki, Lampeitl, Hubert, Marshall, Jennifer L., McGinnis, David, Miknaitis, Gajus, Nichol, Robert C., Prieto, Jose Luis, Riess, Adam G., Richmond, Michael W., Schneider, Donald P., Smith, Mathew, Takanashi, Naohiro, Tokita, Kouichi, van der Heyden, Kurt, Yasuda, Naoki, Assef, Roberto J., Barentine, John, Bender, Ralf, Blandford, Roger D., Bremer, Malcolm, Brewington, Howard, Collins, Chris A., Crotts, Arlin, Dembicky, Jack, Eastman, Jason, Edge, Alastair, Elson, Ed, Eyler, Michael E., Filippenko, Alexei V., Foley, Ryan J., Frank, Stephan, Goobar, Ariel, Harvanek, Michael, Hopp, Ulrich, Ihara, Yutaka, Kahn, Steven, Ketzeback, William, Kleinman, Scott J., Kollatschny, Wolfram, Krzesiński, Jurek, Leloudas, Giorgos, Long, Daniel C., Lucey, John, Malanushenko, Elena, Malanushenko, Viktor, McMillan, Russet J., Morgan, Christopher W., Morokuma, Tomoki, Nitta, Atsuko, Ostman, Linda, Pan, Kaike, Romer, A. Kathy, Saurage, Gabrelle, Schlesinger, Katie, Snedden, Stephanie A., Sollerman, Jesper, Stritzinger, Maximilian, Watson, Linda C., Watters, Shannon, Wheeler, J. Craig, and York, Donald

Subjects
Astrophysics::High Energy Astrophysical Phenomena, Astrophysics (astro-ph), Astrophysics::Solar and Stellar Astrophysics, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Astrophysics::Galaxy Astrophysics
Abstract

This paper presents spectroscopy of supernovae discovered in the first season of the Sloan Digital Sky Survey-II Supernova Survey. This program searches for and measures multi-band light curves of supernovae in the redshift range z = 0.05 - 0.4, complementing existing surveys at lower and higher redshifts. Our goal is to better characterize the supernova population, with a particular focus on SNe Ia, improving their utility as cosmological distance indicators and as probes of dark energy. Our supernova spectroscopy program features rapid-response observations using telescopes of a range of apertures, and provides confirmation of the supernova and host-galaxy types as well as precise redshifts. We describe here the target identification and prioritization, data reduction, redshift measurement, and classification of 129 SNe Ia, 16 spectroscopically probable SNe Ia, 7 SNe Ib/c, and 11 SNe II from the first season. We also describe our efforts to measure and remove the substantial host galaxy contamination existing in the majority of our SN spectra., Comment: Accepted for publication in The Astronomical Journal(47pages, 9 figures)

Published
2008
Full Text
View/download PDF

11. An Analysis of Distributed Shared Memory Algorithms

Author

Kessler, Richard E and Livny, Miron

Abstract

This paper describes results obtained in a study of algorithms to implement a Distributed Shared Memory in a distributed (loosely coupled) environment. Distributed Shared Memory is the implementation of shared memory across multiple nodes in a distributed system. This is accomplished using only the private memories of the nodes by controlling access to the pages of the shared memory and transferring data to and from the private memories when necessary. We analyze alternative algorithms to implement Distributed Shared Memory, all of them based on the ideas presented in [Li86b]. The Distributed Shared Memory algorithms are analyzed and compared over a wide range of conditions. Application characteristics are identified which can be exploited by the Distributed Shared Memory algorithms. We will show the conditions under which the algorithms analyzed in this paper perform better or worse than the other alternatives. Results are obtained via simulation using a synthetic reference generator.

Published
1989

13. Large Synoptic Survey Telescope: Dark Energy Science Collaboration

Author

Abate, Alexandra, Aldering, Greg, Allen, Steven W., Ansari, Reza, Antilogus, Pierre, Applegate, Douglas, Astier, Pierre, Aubourg, Eric, Bahcall, Neta A., Bard, Deborah, Barkhouse, Wayne A., Bartlett, James G., Bean, Rachel, Becker, Andrew, Beckmann, Volcker, Bernstein, Gary, Biswas, Rahul, Blanc, Guillaume, Bongard, Sebastien, Bosch, James, Boutigny, Dominique, Bradac, Marusa, Bradshaw, Andrew, Brunner, Robert J., Burchat, Patricia R., Burke, David L., Cahn, Robert, Campagne, Jean-Eric, Carrasco Kind, Matias, Chihway Chang, Cheu, Elliott C., Chiang, James, Cinabro, David, Claver, Chuck, Clowe, Douglas, Cohn, Joanne D., Connolly, Andrew, Cooray, Asantha, Croft, Rupert A. C., Cui, Wei, Cunha, Carlos, Antonio, Ian P., Digel, Seth W., Di Matteo, Tiziana, Dodelson, Scott, Dore, Olivier, Dubois, Richard, Dubois-Felsmann, Gregory P., Ealet, Anne, Escoffier, Stephanie, Fassnacht, Chris, Finley, David A., Fouchez, Dominique, Frieman, Joshua A., Ganga, Ken, Gangler, Emmanuel, Garzoglio, Gabriele, Gawiser, Eric, Gilman, Fred, Gilmore, Kirk, Gladney, Larry, Glanzman, Thomas, Gottschalk, Erik E., Gnedin, Nickolay Y., Gris, Philippe, Guy, Julien, Habib, Salman, Heitmann, Katrin, Hilbert, Stefan, Ho, Shirley, Hogan, Craig, Honscheid, Klaus, Huard, Zachary, Huff, Eric M., Ivezic, Zeljko, Jain, Bhuvnesh, Jarvis, Mike, Jee, M. James, Jeltema, Tesla, Jha, Saurabh W., Johns, Kenneth A., Johnson, Anthony S., Johnson, Robert P., Kahn, Steven M., Kent, Stephen, Kessler, Richard, Kiessling, Alina, Kim, Alex G., Kirkby, David, Kirshner, Robert P., Kovacs, Eve V., Knox, Lloyd, Kratochvil, Jan M., Kuhlmann, Steve, Levi, Michael, Li, Guoliang, Lin, Huan, Linder, Eric, Lupton, Robert, Ma, Zhaoming, Macintosh, Bruce, Mandelbaum, Rachel, Mantz, Adam, Marshall, Philip J., Marshall, Stuart, May, Morgan, Mcdonald, Patrick, Meadows, Brian, Melchior, Peter M., Menard, Brice, Moniez, Marc, Morandi, Andrea, Morris, R. Glenn, Newman, Jeffrey A., Neyrinck, Mark C., Nugent, Peter, O Connor, Paul, Olivier, Scot S., Padmanabhan, Nikhil, Pain, Reynald, Peng, En-Hsin, Perdereau, Olivier, Perlmutter, Saul, Peterson, John R., Petrosian, Vahé, Plaszczynski, Stephane, Pope, Adrian C., Raccanelli, Alvise, Rasmussen, Andrew, Reil, Kevin, Rhodes, Jason, Ricker, Paul M., Ricol, Jean-Stephane, Roe, Natalie, Roodman, Aaron, Rosenberg, Leslie, Roucelle, Cecile, Russo, Stefano, Sako, Masao, Schindler, Rafe H., Schmidt, Samuel J., Schneider, Michael D., Sehgal, Neelima, Seljak, Uros, Sembroski, Glenn, Seo, Hee-Jong, Shipsey, Ian, Singal, Jack, Spergel, David, Soares-Santos, Marcelle, Spinka, Harold, Stebbins, Albert, Strauss, Michael A., Stubbs, Christopher W., Tao, Charling, Thaler, Jon J., Thomas, Rollin C., Thorman, Paul A., Tilquin, Andre, Trac, Hy, Treu, Tommaso, Tristram, Matthieu, Tyson, J. Anthony, Wandelt, Benjamin D., Wang, Yun, Wechsler, Risa H., Wenaus, Torre, White, Martin, Wittman, David, Wood-Vasey, W. Michael, Xin, Bo, Yoachim, Peter, Zentner, Andrew R., and Zhan, Hu

14. Science-Driven Optimization of the LSST Observing Strategy

Author

Lsst, Science Collaboration, Marshall, Phil, Anguita, Timo, Bianco, Federica B., Bellm, Eric C., Brandt, Niel, Clarkson, Will, Connolly, Andy, Gawiser, Eric, Ivezic, Zeljko, Jones, Lynne, Lochner, Michelle, Lund, Michael B., Mahabal, Ashish, Nidever, David, Olsen, Knut, Ridgway, Stephen, Rhodes, Jason, Shemmer, Ohad, Trilling, David, Vivas, Kathy, Walkowicz, Lucianne, Willman, Beth, Yoachim, Peter, Anderson, Scott, Antilogus, Pierre, Angus, Ruth, Arcavi, Iair, Awan, Humna, Biswas, Rahul, Bell, Keaton J., Bennett, David, Britt, Chris, Buzasi, Derek, Casetti-Dinescu, Dana I., Chomiuk, Laura, Claver, Chuck, Cook, Kem, Davenport, James, Debattista, Victor, Digel, Seth, Doctor, Zoheyr, Firth, R. E., Foley, Ryan, Fong, Wen-Fai, Lluís Galbany, Giampapa, Mark, Gizis, John E., Graham, Melissa L., Grillmair, Carl, Gris, Phillipe, Haiman, Zoltan, Hartigan, Patrick, Hawley, Suzanne, Hlozek, Renee, Jha, Saurabh W., Johns-Krull, C., Kanbur, Shashi, Kalogera, Vassiliki, Kashyap, Vinay, Kasliwal, Vishal, Kessler, Richard, Kim, Alex, Kurczynski, Peter, Lahav, Ofer, Liu, Michael C., Malz, Alex, Margutti, Raffaella, Matheson, Tom, Mcewen, Jason D., Mcgehee, Peregrine, Meibom, Soren, Meyers, Josh, Monet, Dave, Neilsen, Eric, Newman, Jeffrey, O Dowd, Matt, Peiris, Hiranya V., Penny, Matthew T., Peters, Christina, Poleski, Radoslaw, Ponder, Kara, Richards, Gordon, Rho, Jeonghee, Rubin, David, Schmidt, Samuel, Schuhmann, Robert L., Shporer, Avi, Slater, Colin, Smith, Nathan, Soares-Santos, Marcelles, Stassun, Keivan, Strader, Jay, Strauss, Michael, Street, Rachel, Stubbs, Christopher, Sullivan, Mark, Szkody, Paula, Trimble, Virginia, Tyson, Tony, Val-Borro, Miguel, Valenti, Stefano, Wagoner, Robert, Wood-Vasey, W. Michael, Zauderer, Bevin Ashley, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), LSST, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)

Subjects
Earth and Planetary Astrophysics (astro-ph.EP), Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics - Solar and Stellar Astrophysics, Astrophysics of Galaxies (astro-ph.GA), FOS: Physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Astrophysics - Instrumentation and Methods for Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Astrophysics of Galaxies, Solar and Stellar Astrophysics (astro-ph.SR), Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky and over ten years of repeated observation. However, exactly how the LSST observations will be taken (the observing strategy or "cadence") is not yet finalized. In this dynamically-evolving community white paper, we explore how the detailed performance of the anticipated science investigations is expected to depend on small changes to the LSST observing strategy. Using realistic simulations of the LSST schedule and observation properties, we design and compute diagnostic metrics and Figures of Merit that provide quantitative evaluations of different observing strategies, analyzing their impact on a wide range of proposed science projects. This is work in progress: we are using this white paper to communicate to each other the relative merits of the observing strategy choices that could be made, in an effort to maximize the scientific value of the survey. The investigation of some science cases leads to suggestions for new strategies that could be simulated and potentially adopted. Notably, we find motivation for exploring departures from a spatially uniform annual tiling of the sky: focusing instead on different parts of the survey area in different years in a "rolling cadence" is likely to have significant benefits for a number of time domain and moving object astronomy projects. The communal assembly of a suite of quantified and homogeneously coded metrics is the vital first step towards an automated, systematic, science-based assessment of any given cadence simulation, that will enable the scheduling of the LSST to be as well-informed as possible., 312 pages, 90 figures. Browse the current version at https://github.com/LSSTScienceCollaborations/ObservingStrategy, new contributions welcome!

15. LSST Science Book, Version 2.0

Author

Lsst, Science Collaboration, Abell, Paul A., Allison, Julius, Anderson, Scott F., Andrew, John R., Angel, J. Roger P., Armus, Lee, Arnett, David, Asztalos, S. J., Axelrod, Tim S., Bailey, Stephen, Ballantyne, D. R., Bankert, Justin R., Barkhouse, Wayne A., Barr, Jeffrey D., Barrientos, L. Felipe, Barth, Aaron J., Bartlett, James G., Becker, Andrew C., Becla, Jacek, Beers, Timothy C., Bernstein, Joseph P., Biswas, Rahul, Blanton, Michael R., Bloom, Joshua S., Bochanski, John J., Boeshaar, Pat, Borne, Kirk D., Bradac, Marusa, Brandt, W. N., Bridge, Carrie R., Brown, Michael E., Brunner, Robert J., Bullock, James S., Burgasser, Adam J., Burge, James H., Burke, David L., Cargile, Phillip A., Chandrasekharan, Srinivasan, Chartas, George, Chesley, Steven R., Chu, You-Hua, Cinabro, David, Claire, Mark W., Claver, Charles F., Clowe, Douglas, Connolly, A. J., Cook, Kem H., Cooke, Jeff, Cooray, Asantha, Covey, Kevin R., Culliton, Christopher S., Jong, Roelof, Vries, Willem H., Debattista, Victor P., Delgado, Francisco, Antonio, Ian P., Dhital, Saurav, Di Stefano, Rosanne, Dickinson, Mark, Dilday, Benjamin, Djorgovski, S. G., Dobler, Gregory, Donalek, Ciro, Dubois-Felsmann, Gregory, Durech, Josef, Eliasdottir, Ardis, Eracleous, Michael, Eyer, Laurent, Falco, Emilio E., Fan, Xiaohui, Fassnacht, Christopher D., Ferguson, Harry C., Fernandez, Yanga R., Fields, Brian D., Finkbeiner, Douglas, Figueroa, Eduardo E., Fox, Derek B., Francke, Harold, Frank, James S., Frieman, Josh, Fromenteau, Sebastien, Furqan, Muhammad, Galaz, Gaspar, Gal-Yam, A., Garnavich, Peter, Gawiser, Eric, Geary, John, Gee, Perry, Gibson, Robert R., Gilmore, Kirk, Grace, Emily A., Green, Richard F., Gressler, William J., Grillmair, Carl J., Habib, Salman, Haggerty, J. S., Hamuy, Mario, Harris, Alan W., Hawley, Suzanne L., Heavens, Alan F., Hebb, Leslie, Henry, Todd J., Hileman, Edward, Hilton, Eric J., Hoadley, Keri, Holberg, J. B., Holman, Matt J., Howell, Steve B., Infante, Leopoldo, Ivezic, Zeljko, Jacoby, Suzanne H., Jain, Bhuvnesh, R, Jedicke, Jee, M. James, Garrett Jernigan, J., Jha, Saurabh W., Johnston, Kathryn V., Jones, R. Lynne, Juric, Mario, Kaasalainen, Mikko, Styliani, Kafka, Kahn, Steven M., Kaib, Nathan A., Kalirai, Jason, Kantor, Jeff, Kasliwal, Mansi M., Keeton, Charles R., Kessler, Richard, Knezevic, Zoran, Kowalski, Adam, Krabbendam, Victor L., Krughoff, K. Simon, Kulkarni, Shrinivas, Kuhlman, Stephen, Lacy, Mark, Lepine, Sebastien, Liang, Ming, Lien, Amy, Lira, Paulina, Long, Knox S., Lorenz, Suzanne, Lotz, Jennifer M., Lupton, R. H., Lutz, Julie, Macri, Lucas M., Mahabal, Ashish A., Mandelbaum, Rachel, Marshall, Phil, May, Morgan, Mcgehee, Peregrine M., Meadows, Brian T., Meert, Alan, Milani, Andrea, Miller, Christopher J., Miller, Michelle, Mills, David, Minniti, Dante, Monet, David, Mukadam, Anjum S., Nakar, Ehud, Neill, Douglas R., Newman, Jeffrey A., Nikolaev, Sergei, Nordby, Martin, O Connor, Paul, Oguri, Masamune, Oliver, John, Olivier, Scot S., Olsen, Julia K., Olsen, Knut, Olszewski, Edward W., Oluseyi, Hakeem, Padilla, Nelson D., Parker, Alex, Pepper, Joshua, Peterson, John R., Petry, Catherine, Pinto, Philip A., Pizagno, James L., Popescu, Bogdan, Prsa, Andrej, Radcka, Veljko, Raddick, M. Jordan, Rasmussen, Andrew, Rau, Arne, Rho, Jeonghee, Rhoads, James E., Richards, Gordon T., Ridgway, Stephen T., Robertson, Brant E., Roskar, Rok, Saha, Abhijit, Sarajedini, Ata, Scannapieco, Evan, Schalk, Terry, Schindler, Rafe, Schmidt, Samuel, Schmidt, Sarah, Schneider, Donald P., Schumacher, German, Scranton, Ryan, Sebag, Jacques, Seppala, Lynn G., Ohad Shemmer, Simon, Joshua D., Sivertz, M., Smith, Howard A., Allyn Smith, J., Smith, Nathan, Spitz, Anna H., Stanford, Adam, Stassun, Keivan G., Strader, Jay, Strauss, Michael A., Stubbs, Christopher W., Sweeney, Donald W., Szalay, Alex, Szkody, Paula, Takada, Masahiro, Thorman, Paul, Trilling, David E., Trimble, Virginia, Tyson, Anthony, Berg, Richard, Vanden Berk, Daniel, Vanderplas, Jake, Verde, Licia, Vrsnak, Bojan, Walkowicz, Lucianne M., Wandelt, Benjamin D., Wang, Sheng, Wang, Yun, Warner, Michael, Wechsler, Risa H., West, Andrew A., Wiecha, Oliver, Williams, Benjamin F., Willman, Beth, Wittman, David, Wolff, Sidney C., Wood-Vasey, W. Michael, Wozniak, Przemek, Young, Patrick, Zentner, Andrew, Zhan, Hu, APC - Cosmologie, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), LSST, Bartlett, James, Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Physique Corpusculaire et Cosmologie - Collège de France (PCC), Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, and PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)

Subjects
Active galactic nucleus, Cosmology and Nongalactic Astrophysics (astro-ph.CO), [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], media_common.quotation_subject, Milky Way, FOS: Physical sciences, Large Synoptic Survey Telescope, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], 0103 physical sciences, Solar and Stellar Astrophysics, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Weak gravitational lensing, Solar and Stellar Astrophysics (astro-ph.SR), Astrophysics::Galaxy Astrophysics, media_common, Physics, Earth and Planetary Astrophysics (astro-ph.EP), [SDU.ASTR.CO] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], 010308 nuclear & particles physics, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy, Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Redshift, Galaxy, Astrophysics - Solar and Stellar Astrophysics, Sky, [PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Astrophysics of Galaxies (astro-ph.GA), Dark energy, Instrumentation and Methods for Astrophysics, Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of the exciting science opportunities of the next decade. The Large Synoptic Survey Telescope (LSST) will have an effective aperture of 6.7 meters and an imaging camera with field of view of 9.6 deg^2, and will be devoted to a ten-year imaging survey over 20,000 deg^2 south of +15 deg. Each pointing will be imaged 2000 times with fifteen second exposures in six broad bands from 0.35 to 1.1 microns, to a total point-source depth of r~27.5. The LSST Science Book describes the basic parameters of the LSST hardware, software, and observing plans. The book discusses educational and outreach opportunities, then goes on to describe a broad range of science that LSST will revolutionize: mapping the inner and outer Solar System, stellar populations in the Milky Way and nearby galaxies, the structure of the Milky Way disk and halo and other objects in the Local Volume, transient and variable objects both at low and high redshift, and the properties of normal and active galaxies at low and high redshift. It then turns to far-field cosmological topics, exploring properties of supernovae to z~1, strong and weak lensing, the large-scale distribution of galaxies and baryon oscillations, and how these different probes may be combined to constrain cosmological models and the physics of dark energy., 596 pages. Also available at full resolution at http://www.lsst.org/lsst/scibook

Catalog

Books, media, physical & digital resources
See catalog results