Predictions for observing protostellar outflows with ALMA
- 1. Department of Astronomy, Yale University, New Haven, CT 06511 (United States)
Description
Protostellar outflows provide a means to probe the accretion process of forming stars and their ability to inject energy into their surroundings. However, conclusions based on outflow observations depend upon the degree of accuracy with which their properties can be estimated. We examine the quality of Atacama Large Millimeter/submillimeter Array (ALMA) observations of protostellar outflows by producing synthetic 12CO(1-0) and 13CO(1-0) observations of numerical simulations. We use various ALMA configurations, observational parameters, and outflow inclinations to assess how accurately different assumptions and setups can recover underlying properties. We find that more compact arrays and longer observing times can improve the mass and momentum recovery by a factor of two. During the first ∼0.3 Myr of evolution, 12CO(1-0) is optically thick, even for velocities km s−1, and outflow mass is severely underestimated without an optical depth correction. Likewise, 13CO(1-0) is optically thick during the first Myr. However, underestimation due to shorter observing time, missing flux, and optical depth are partially offset by the assumption of local thermodynamic equilibrium and higher excitation temperatures. Overall, we expect that full ALMA 13CO(1-0) observations of protostellar sources within 500 pc with observing times hr and assumed excitation temperatures of K will reliably measure mass and line of sight momentum to within 20%.
Availability note (English)
Available from http://dx.doi.org/10.1088/0004-637X/802/2/86Additional details
Identifiers
Publishing Information
- Journal Title
- Astrophysical Journal
- Journal Volume
- 802
- Journal Issue
- 2
- Series
- Since 2009, the country of publication for this journal is the UK.
- Journal Page Range
- [13 p.]
- ISSN
- 0004-637X
- CODEN
- ASJOAB
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51045535
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- CARBON MONOXIDE; COMPUTERIZED SIMULATION; EXCITATION; FORECASTING; INCLINATION; LTE; MASS; RADIANT HEAT TRANSFER; STAR EVOLUTION; STARS; THERMODYNAMICS; VELOCITY
- Descriptors DEC
- CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; ENERGY TRANSFER; ENERGY-LEVEL TRANSITIONS; EQUILIBRIUM; EVOLUTION; HEAT TRANSFER; OXIDES; OXYGEN COMPOUNDS; SIMULATION