Accurate Fitting of Noisy Irregular Beam Data for the Planck Space Telescope

Oscar Borries; Per Heighwood Nielsen; Jan Tauber; Arturo Martin-Polegre; Hans Bruun Nielsen

Accurate Fitting of Noisy Irregular Beam Data for the Planck Space Telescope

Oscar Borries, Per Heighwood Nielsen, Jan Tauber, Arturo Martin-Polegre, Hans Bruun Nielsen

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Abstract

Accurate fitting of the noisy irregular amplitude only main beam data is essential for the retrieval of the Planck space telescope geometry [1]. Therefore, a novel two-step fitting algorithm which focuses on the spatial dependency of the in-flight measurements has been implemented. To reduce both the noise and the size of the dataset a spatial filter is applied, without reducing the amount of pattern information. Thereafter, a Kriging [2], [3] fitting is performed, providing a smooth model with a significant noise level reduction. As a result, this algorithm provides a much more accurate and smoother result, reasonable error estimates and runtimes several orders of magnitudes faster than the previous algorithms.

Original language	English
Title of host publication	Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP)
Publisher	IEEE
Publication date	2011
Pages	1805-1809
ISBN (Print)	978-1-4577-0250-1
Publication status	Published - 2011
Event	5th European Conference on Antennas and Propagation - Rome, Italy Duration: 11 Apr 2011 → 15 Apr 2011 Conference number: 5 http://www.eucap2011.org/

Conference

Conference	5th European Conference on Antennas and Propagation
Number	5
Country/Territory	Italy
City	Rome
Period	11/04/2011 → 15/04/2011
Internet address	http://www.eucap2011.org/

Keywords

Beam Data
Kriging
Geometry Retrieval
Fitting
Planck

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@inproceedings{89a9eaeb92f94941a8beafbe24b70576,

title = "Accurate Fitting of Noisy Irregular Beam Data for the Planck Space Telescope",

abstract = "Accurate fitting of the noisy irregular amplitude only main beam data is essential for the retrieval of the Planck space telescope geometry [1]. Therefore, a novel two-step fitting algorithm which focuses on the spatial dependency of the in-flight measurements has been implemented. To reduce both the noise and the size of the dataset a spatial filter is applied, without reducing the amount of pattern information. Thereafter, a Kriging [2], [3] fitting is performed, providing a smooth model with a significant noise level reduction. As a result, this algorithm provides a much more accurate and smoother result, reasonable error estimates and runtimes several orders of magnitudes faster than the previous algorithms.",

keywords = "Beam Data, Kriging, Geometry Retrieval, Fitting, Planck",

author = "Oscar Borries and Nielsen, \{Per Heighwood\} and Jan Tauber and Arturo Martin-Polegre and Nielsen, \{Hans Bruun\}",

year = "2011",

language = "English",

isbn = "978-1-4577-0250-1",

pages = "1805--1809",

booktitle = "Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP)",

publisher = "IEEE",

address = "United States",

note = "5th European Conference on Antennas and Propagation, EUCAP 2011 ; Conference date: 11-04-2011 Through 15-04-2011",

url = "http://www.eucap2011.org/",

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T1 - Accurate Fitting of Noisy Irregular Beam Data for the Planck Space Telescope

AU - Borries, Oscar

AU - Nielsen, Per Heighwood

AU - Tauber, Jan

AU - Martin-Polegre, Arturo

AU - Nielsen, Hans Bruun

N1 - Conference code: 5

PY - 2011

Y1 - 2011

N2 - Accurate fitting of the noisy irregular amplitude only main beam data is essential for the retrieval of the Planck space telescope geometry [1]. Therefore, a novel two-step fitting algorithm which focuses on the spatial dependency of the in-flight measurements has been implemented. To reduce both the noise and the size of the dataset a spatial filter is applied, without reducing the amount of pattern information. Thereafter, a Kriging [2], [3] fitting is performed, providing a smooth model with a significant noise level reduction. As a result, this algorithm provides a much more accurate and smoother result, reasonable error estimates and runtimes several orders of magnitudes faster than the previous algorithms.

AB - Accurate fitting of the noisy irregular amplitude only main beam data is essential for the retrieval of the Planck space telescope geometry [1]. Therefore, a novel two-step fitting algorithm which focuses on the spatial dependency of the in-flight measurements has been implemented. To reduce both the noise and the size of the dataset a spatial filter is applied, without reducing the amount of pattern information. Thereafter, a Kriging [2], [3] fitting is performed, providing a smooth model with a significant noise level reduction. As a result, this algorithm provides a much more accurate and smoother result, reasonable error estimates and runtimes several orders of magnitudes faster than the previous algorithms.

KW - Beam Data

KW - Kriging

KW - Geometry Retrieval

KW - Fitting

KW - Planck

M3 - Article in proceedings

SN - 978-1-4577-0250-1

SP - 1805

EP - 1809

BT - Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP)

PB - IEEE

T2 - 5th European Conference on Antennas and Propagation

Y2 - 11 April 2011 through 15 April 2011

ER -

Accurate Fitting of Noisy Irregular Beam Data for the Planck Space Telescope

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Keywords

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