Spitzer: IRAC HPP

	Spitzer Documentation & Tools
Overview IRAC IRS MIPS Data Archive Data Analysis & Tools Index of Documentation Helpdesk Spitzer FAQs	IRAC High Precision Photometry > Measuring Noise Reduction > Correlated Noise Home We explore how well any given IRAC data reduction has removed the above sources of correlated noise. It is challenging to remove systematics without removing time-varying astrophysical signal. One possible metric of final achieved precision is to examine the RMS as a function of binning scale and compare that to the photon-noise limit. Further References: Stevenson presentation at the 2014 AAS Workshop IRAC HPP Home Correlated Noise ↧ ↥ Spacecraft Motion Repeatable Pointing ↧ ↥ PCRS Peak-Up Results Effective Use of PCRS Peak-Up Catalog Mapping Intrapixel Gain ↧ ↥ Centroiding Noise Pixel Optimal Aperture Size Residual Nonlinearity Staring Mode Darks Superdarks IRAC Photometric Stability Persistent Images Removing Correlated Noise Repeatability and Accuracy Measuring Noise Reduction ↧ ↥ RMS vs. Binning Scale Frametimes longer than 2 seconds Tools ↧ ↥ Contributed Software Planning Observations Data Simulator Archival Observations Data Features ↧ ↥ Updated Distortion Correction Header Keywords Skydark Change in the Middle of an Observation Background Modulation Noise Pixel Spikes Timing 58th Frame in Subarray Datasets Corrupted Header Position Jump Wheel Speed Change Pointing History File Change Effect of CR on centroiding algorithm Pattern Noise Sample Datasets Meetings ↧ ↥ IRAC IAU 2015 ↧ ↥ Poster Data Challenge

IRAC High Precision Photometry