Towards a physical understanding of the thermal background in large ground-based telescopes

Burtscher, L.; Politopoulos, Ioannis; Fernández-Acosta, Sergio; Agócs, Tibor; Ancker, M. E. van den; Boekel, R. van; Brandl, Bernhard R.; Käufl, H. U.; Pantin, É.; Pietrow, A.G.M.; Siebenmorgen, R.; Stuik, Remko; Tristram, K. R. W.; Wit, W. J. de

doi:10.1117/12.2576271

Ground-Based and Airborne Instrumentation for Astronomy VIII 2020

DOI: 10.1117/12.2576271

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Towards a physical understanding of the thermal background in large ground-based telescopes

L. Burtscher¹,

Ioannis Politopoulos

Sergio Fernández-Acosta³

et al.

Abstract: Towards a physical understanding of the thermal background in large ground-based telescopes. 114477L.

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Cited by 2 publications

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CanariCam Mid-infrared Drift Scanning: Improved Sensitivity and Spatial Resolution

Torres-Quijano

Packham

Acosta

2021

PASP

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Ground-based mid-infrared (MIR) astronomical observations require the removal of the fast time variable components of (a) sky/background variation and (b) array background. Typically, this has been achieved through oscillating the telescope’s secondary mirror a few times a second, a process termed “chopping.” However, chopping reduces on-object photon collection time, imposes stringent demands on the secondary mirror, requires nodding of the telescope to remove the radiative offset imprinted by the chopping, and relies on an often-fixed chop-frequency regardless of the sky conditions in the actual observations. In the 30 m telescope era, secondary mirror chopping is impracticable. However, if the sky and background are sufficiently stable, drift scanning holds the promise to remove the necessity of chopping. In this paper, we report our encouraging drift scanning results using the CanariCam MIR instrument on the 10.4 m Gran Telescopio Canarias and the implications to future instruments and experiments.

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CanariCam Mid-infrared Drift Scanning: Improved Sensitivity and Spatial Resolution

Torres-Quijano

Packham

Acosta

2021

PASP

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Extragalactic Magnetism with SOFIA (SALSA Legacy Program). III. First Data Release and On-the-fly Polarization Mapping Characterization*

López-Rodríguez

Clarke

Shenoy

et al. 2022

ApJ

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We describe the data processing of the Survey on extragALactic magnetiSm with SOFIA (SALSA Legacy Program). This first data release presents 33% (51.34 hr out of 155.7 hr, including overheads) of the total awarded time from 2020 January to 2021 December. Our observations were performed using the newly implemented on-the-fly mapping (OTFMAP) technique in the polarimetric mode. We present the pipeline steps to obtain homogeneously reduced high-level data products of polarimetric maps of galaxies for use in scientific analysis. Our approach has a general design and can be applied to sources smaller than the field of view of the HAWC+ array in any given band. We estimate that the OTFMAP polarimetric mode offers a reduction of observing overheads by a factor 2.34 and an improvement in sensitivity by a factor 1.80 when compared to the same on-source time polarimetric observations using the chopping and nodding mode. The OTFMAP is a significant optimization of the polarimetric mode of HAWC+, as it ultimately reduces the cost of operations of HAWC+/SOFIA by increasing the science collected per hour of observation up to an overall factor of 2.49. The OTFMAP polarimetric mode is the standard observing strategy of SALSA. The results and quantitative analysis of this first data release are presented in Papers IV and V of the series.

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Towards a physical understanding of the thermal background in large ground-based telescopes

Abstract: Towards a physical understanding of the thermal background in large ground-based telescopes. 114477L.

Cited by 2 publications

References 17 publications

CanariCam Mid-infrared Drift Scanning: Improved Sensitivity and Spatial Resolution

CanariCam Mid-infrared Drift Scanning: Improved Sensitivity and Spatial Resolution

Extragalactic Magnetism with SOFIA (SALSA Legacy Program). III. First Data Release and On-the-fly Polarization Mapping Characterization*

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