A strategy for finding near-earth objects with the SDSS telescope

Sean N. Raymond; Gajus Miknaitis; Oliver J. Fraser; Arti Garg; Suzanne L. Hawley; Robert Jedicke; Thomas Quinn; Constance M. Rockosi; Christopher W. Stubbs; Scott F. Anderson; Craig J. Hogan; Željko Ivezić; Robert H. Lupton; Andrew A. West; Howard Brewington; J. Brinkmann; Michael Harvanek; Scot J. Kleinman; Jurek Krzesiński; Dan Long; Eric H. Neilsen; Peter R. Newman; Atsuko Nitta; Stephanie A. Snedden

doi:10.1086/383210

A strategy for finding near-earth objects with the SDSS telescope

Sean N. Raymond, Gajus Miknaitis, Oliver J. Fraser, Arti Garg, Suzanne L. Hawley, Robert Jedicke, Thomas Quinn, Constance M. Rockosi, Christopher W. Stubbs, Scott F. Anderson, Craig J. Hogan, Željko Ivezić, Robert H. Lupton, Andrew A. West, Howard Brewington, J. Brinkmann, Michael Harvanek, Scot J. Kleinman, Jurek Krzesiński, Dan LongEric H. Neilsen, Peter R. Newman, Atsuko Nitta, Stephanie A. Snedden

Astrophysical Sciences

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8 Scopus citations

Abstract

We present a detailed observational strategy for finding near-Earth objects (NEOs) with the Sloan Digital Sky Survey (SDSS) telescope. We investigate strategies in normal, unbinned mode, as well as binning the CCDs 2 × 2 or 3 × 3, which affects the sky coverage rate and the limiting apparent magnitude. We present results from 1 month, 3 year, and 10 year simulations of such surveys. For each cadence and binning mode, we evaluate the possibility of achieving the Spaceguard goal of detecting 90% of 1 km NEOs (absolute magnitude H ≤ 18 for an albedo of 0.1). We find that an unbinned survey is most effective at detecting H ≤ 20 NEOs in our sample. However, a 3 × 3 binned survey reaches the Spaceguard goal after only 7 years of operation. As the proposed large survey telescopes (Pan-STARRS, LSST) are at least 5-10 years from operation, an SDSS NEO survey could make a significant contribution to the detection and photometric characterization of the NEO population.

Original language	English (US)
Pages (from-to)	2978-2987
Number of pages	10
Journal	Astronomical Journal
Volume	127
Issue number	5 1781
DOIs	https://doi.org/10.1086/383210
State	Published - May 2004

All Science Journal Classification (ASJC) codes

Astronomy and Astrophysics
Space and Planetary Science

Keywords

Minor planets, asteroids
Solar system: general
Surveys

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10.1086/383210

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Raymond, S. N., Miknaitis, G., Fraser, O. J., Garg, A., Hawley, S. L., Jedicke, R., Quinn, T., Rockosi, C. M., Stubbs, C. W., Anderson, S. F., Hogan, C. J., Ivezić, Ž., Lupton, R. H., West, A. A., Brewington, H., Brinkmann, J., Harvanek, M., Kleinman, S. J., Krzesiński, J., ... Snedden, S. A. (2004). A strategy for finding near-earth objects with the SDSS telescope. Astronomical Journal, 127(5 1781), 2978-2987. https://doi.org/10.1086/383210

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title = "A strategy for finding near-earth objects with the SDSS telescope",

abstract = "We present a detailed observational strategy for finding near-Earth objects (NEOs) with the Sloan Digital Sky Survey (SDSS) telescope. We investigate strategies in normal, unbinned mode, as well as binning the CCDs 2 × 2 or 3 × 3, which affects the sky coverage rate and the limiting apparent magnitude. We present results from 1 month, 3 year, and 10 year simulations of such surveys. For each cadence and binning mode, we evaluate the possibility of achieving the Spaceguard goal of detecting 90% of 1 km NEOs (absolute magnitude H ≤ 18 for an albedo of 0.1). We find that an unbinned survey is most effective at detecting H ≤ 20 NEOs in our sample. However, a 3 × 3 binned survey reaches the Spaceguard goal after only 7 years of operation. As the proposed large survey telescopes (Pan-STARRS, LSST) are at least 5-10 years from operation, an SDSS NEO survey could make a significant contribution to the detection and photometric characterization of the NEO population.",

keywords = "Minor planets, asteroids, Solar system: general, Surveys",

author = "Raymond, {Sean N.} and Gajus Miknaitis and Fraser, {Oliver J.} and Arti Garg and Hawley, {Suzanne L.} and Robert Jedicke and Thomas Quinn and Rockosi, {Constance M.} and Stubbs, {Christopher W.} and Anderson, {Scott F.} and Hogan, {Craig J.} and {\v Z}eljko Ivezi{\'c} and Lupton, {Robert H.} and West, {Andrew A.} and Howard Brewington and J. Brinkmann and Michael Harvanek and Kleinman, {Scot J.} and Jurek Krzesi{\'n}ski and Dan Long and Neilsen, {Eric H.} and Newman, {Peter R.} and Atsuko Nitta and Snedden, {Stephanie A.}",

year = "2004",

month = may,

doi = "10.1086/383210",

language = "English (US)",

volume = "127",

pages = "2978--2987",

journal = "Astronomical Journal",

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Raymond, SN, Miknaitis, G, Fraser, OJ, Garg, A, Hawley, SL, Jedicke, R, Quinn, T, Rockosi, CM, Stubbs, CW, Anderson, SF, Hogan, CJ, Ivezić, Ž, Lupton, RH, West, AA, Brewington, H, Brinkmann, J, Harvanek, M, Kleinman, SJ, Krzesiński, J, Long, D, Neilsen, EH, Newman, PR, Nitta, A & Snedden, SA 2004, 'A strategy for finding near-earth objects with the SDSS telescope', Astronomical Journal, vol. 127, no. 5 1781, pp. 2978-2987. https://doi.org/10.1086/383210

TY - JOUR

T1 - A strategy for finding near-earth objects with the SDSS telescope

AU - Raymond, Sean N.

AU - Miknaitis, Gajus

AU - Fraser, Oliver J.

AU - Garg, Arti

AU - Hawley, Suzanne L.

AU - Jedicke, Robert

AU - Quinn, Thomas

AU - Rockosi, Constance M.

AU - Stubbs, Christopher W.

AU - Anderson, Scott F.

AU - Hogan, Craig J.

AU - Ivezić, Željko

AU - Lupton, Robert H.

AU - West, Andrew A.

AU - Brewington, Howard

AU - Brinkmann, J.

AU - Harvanek, Michael

AU - Kleinman, Scot J.

AU - Krzesiński, Jurek

AU - Long, Dan

AU - Neilsen, Eric H.

AU - Newman, Peter R.

AU - Nitta, Atsuko

AU - Snedden, Stephanie A.

PY - 2004/5

Y1 - 2004/5

N2 - We present a detailed observational strategy for finding near-Earth objects (NEOs) with the Sloan Digital Sky Survey (SDSS) telescope. We investigate strategies in normal, unbinned mode, as well as binning the CCDs 2 × 2 or 3 × 3, which affects the sky coverage rate and the limiting apparent magnitude. We present results from 1 month, 3 year, and 10 year simulations of such surveys. For each cadence and binning mode, we evaluate the possibility of achieving the Spaceguard goal of detecting 90% of 1 km NEOs (absolute magnitude H ≤ 18 for an albedo of 0.1). We find that an unbinned survey is most effective at detecting H ≤ 20 NEOs in our sample. However, a 3 × 3 binned survey reaches the Spaceguard goal after only 7 years of operation. As the proposed large survey telescopes (Pan-STARRS, LSST) are at least 5-10 years from operation, an SDSS NEO survey could make a significant contribution to the detection and photometric characterization of the NEO population.

AB - We present a detailed observational strategy for finding near-Earth objects (NEOs) with the Sloan Digital Sky Survey (SDSS) telescope. We investigate strategies in normal, unbinned mode, as well as binning the CCDs 2 × 2 or 3 × 3, which affects the sky coverage rate and the limiting apparent magnitude. We present results from 1 month, 3 year, and 10 year simulations of such surveys. For each cadence and binning mode, we evaluate the possibility of achieving the Spaceguard goal of detecting 90% of 1 km NEOs (absolute magnitude H ≤ 18 for an albedo of 0.1). We find that an unbinned survey is most effective at detecting H ≤ 20 NEOs in our sample. However, a 3 × 3 binned survey reaches the Spaceguard goal after only 7 years of operation. As the proposed large survey telescopes (Pan-STARRS, LSST) are at least 5-10 years from operation, an SDSS NEO survey could make a significant contribution to the detection and photometric characterization of the NEO population.

KW - Minor planets, asteroids

KW - Solar system: general

KW - Surveys

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UR - http://www.scopus.com/inward/citedby.url?scp=2942655450&partnerID=8YFLogxK

U2 - 10.1086/383210

DO - 10.1086/383210

M3 - Article

AN - SCOPUS:2942655450

SN - 0004-6256

VL - 127

SP - 2978

EP - 2987

JO - Astronomical Journal

JF - Astronomical Journal

IS - 5 1781

ER -

A strategy for finding near-earth objects with the SDSS telescope

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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