Hi. I'm Pipit Triani.

I am a postdoctoral fellow at the Center for Astrophysics, Harvard and Smithsonian. Prior to this, I spent a year as an ASTRO3D postdoctoral fellow at the Australian National University within the Research School of Astronomy and Astrophysic. I got my PhD of Astrophysics at CAS Swinburne on 2021. I did my undergraduate and master in Institut Teknologi Bandung, Indonesia. My research focuses on the theoretical simulation of galaxy formation, spectral energy distribution (SED) and emission line modelling. Besides that, I am an avid crocheter and a zumba instructor.

Learn about what I do

Research Projects

Emission line model in HII region

Interaction between ionizing photons from young stars and the gas clouds enshrouding them emits various emission lines observable in a wide wavelength range. These lines provide information on the ISM properties such as temperature, electron density, metallicity abundance, and ionization state of the gas. Such lines could also provide information on the characteristic of the ionizing source.

I am exploring the UV and optical lines using MAPPINGS photoionization model to uncover the HII region in starforming galaxies. Currently, I am interested to investigate how the equivalent width of strong lines can trace the metallicity or ionization parameter of the gas.

Dust in galaxy evolution

Dust is a critical component that shapes the SED of galaxies. It absorbs and scatters the stellar light in the optical and ultraviolet regime. This process is known as attenuation and correlates negatively with the wavelength. Dust reemits this energy in the near to farinfrared, with different grain sizes contributing differently across the spectrum. It is therefore essential to understand the interaction of stars with dust in galaxies to understand observed SED.

In the physics of galaxy formation, dust acts as a coolant for gas, provides a surface to catalyse the formation of molecular hydrogen, and depletes metals. Since molecular hydrogen is the primary fuel for star formation, star formation activity is boosted in the presence of dust. It is thus important to implement dust evolution within any model attempting to reproduce galaxy evolution.

Mentari

Mentari provides the full-spectrum SED ranging from the UV to far-infrared using galaxy properties calculated from a galaxy evolution simulation. I created Mentari as a post-processing step, meaning it can be used with any simulation. Mentari also has a web app version available on streamlit.

Dusty SAGE

Dusty SAGE is a new semi-analytic model which combines theoretically and empirically motivated prescriptions to predict the evolution of baryons, including a detailed dust model. The model is described in Triani et al. (2020). Dusty SAGE runs on the halo merger trees from any cosmologically representative N-body simulations. It provides advantages to understand the dust evolution of galaxies across cosmic time and explore how they are tied to galaxy properties.

Publications

My full list of publications are accessible through the SAO/NASA Astrophysics Data System and can be found in this link.

CV

A detailed CV of mine can be downloaded here.

Contact

If you would like to get in touch with me about research, code, or any other matters, please do not hesitate to contact me.

dian.triani@cfa.harvard.edu

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