37 research outputs found

    Ground water quality assessment for irrigation in Palwal block of Palwal district, Haryana, India

    Get PDF
    The present study examined the quality of groundwater for agriculture purpose in a 49785 ha region comprising Palwal block of Palwal district of Haryana state by focusing on spatial variability of electrical conductivity (EC), cationic and anionic composition of CO32-, HCO3-, Cl-, SO42-, Ca2+, Mg2+, Na+ and K+ of the ground water. It was found 75% of the samples showed EC values up to 4 dS/m and the maximum value of EC was found as 10.55 dS/m. Out of one hundred thirty three ground water samples 34.8 % were of good quality, 49.2 % saline and 16.0 % alkali in nature. Out of the saline water, 24.2, 1.5 and 23.5 % were marginally saline, saline and high SAR saline, respectively. In alkali group, 2.3, 2.3 and 11.4 % were marginally alkali, alkali and high alkali, respectively. Residual sodium carbonate (RSC) and sodium adsorption ratio (SAR) varied from nil to 5.50 me L-1 and 2.50 to 23.41 (m mol L-1)œ, respectively. Counter map maps of EC, SAR, RSC and water quality of groundwater used for irrigation in the block were prepared through GIS to study spatial variability

    Bayesian Methods for Exoplanet Science

    Full text link
    Exoplanet research is carried out at the limits of the capabilities of current telescopes and instruments. The studied signals are weak, and often embedded in complex systematics from instrumental, telluric, and astrophysical sources. Combining repeated observations of periodic events, simultaneous observations with multiple telescopes, different observation techniques, and existing information from theory and prior research can help to disentangle the systematics from the planetary signals, and offers synergistic advantages over analysing observations separately. Bayesian inference provides a self-consistent statistical framework that addresses both the necessity for complex systematics models, and the need to combine prior information and heterogeneous observations. This chapter offers a brief introduction to Bayesian inference in the context of exoplanet research, with focus on time series analysis, and finishes with an overview of a set of freely available programming libraries.Comment: Invited revie

    A HARPS-N mass for the elusive Kepler-37d::a case study in disentangling stellar activity and planetary signals

    Get PDF
    To date, only 18 exoplanets with radial velocity (RV) semi-amplitude <2 m s−1 have had their masses directly constrained. The biggest obstacle to RV detection of such exoplanets is variability intrinsic to stars themselves, e.g. nuisance signals arising from surface magnetic activity such as rotating spots and plages, which can drown out or even mimic planetary RV signals. We use Kepler-37 – known to host three transiting planets, one of which, Kepler-37d, should be on the cusp of RV detectability with modern spectrographs – as a case study in disentangling planetary and stellar activity signals. We show how two different statistical techniques – one seeking to identify activity signals in stellar spectra, and another to model activity signals in extracted RVs and activity indicators – can each enable a detection of the hitherto elusive Kepler-37d. Moreover, we show that these two approaches can be complementary, and in combination, facilitate a definitive detection and precise characterization of Kepler-37d. Its RV semi-amplitude of 1.22 ± 0.31 m s−1 (mass 5.4 ± 1.4 M⊕) is formally consistent with TOI-178b’s 1.05−0.30+0.251.05^{+0.25}_{-0.30} m s−1, the latter being the smallest detected RV signal of any transiting planet to date, though dynamical simulations suggest Kepler-37d’s mass may be on the lower end of our 1σ credible interval. Its consequent density is consistent with either a water-world or that of a gaseous envelope (∌0.4 per cent\sim 0.4{{\ \rm per\ cent}} by mass) surrounding a rocky core. Based on RV modelling and a re-analysis of Kepler-37 TTVs, we also suggest that the putative (non-transiting) planet Kepler-37e should be stripped of its ‘confirmed’ status

    An 11 Earth-mass, Long-period Sub-Neptune Orbiting a Sun-like Star

    Get PDF
    Although several thousands of exoplanets have now been detected and characterized, observational biases have led to a paucity of long-period, low-mass exoplanets with measured masses and a corresponding lag in our understanding of such planets. In this paper we report the mass estimation and characterization of the long-period exoplanet Kepler-538b. This planet orbits a Sun-like star (V = 11.27) with M_* = 0.892 +/- (0.051, 0.035) M_sun and R_* = 0.8717 +/- (0.0064, 0.0061) R_sun. Kepler-538b is a 2.215 +/- (0.040, 0.034) R_earth sub-Neptune with a period of P = 81.73778 +/- 0.00013 d. It is the only known planet in the system. We collected radial velocity (RV) observations with HIRES on Keck I and HARPS-N on the TNG. We characterized stellar activity by a Gaussian process with a quasi-periodic kernel applied to our RV and cross correlation function full width at half maximum (FWHM) observations. By simultaneously modeling Kepler photometry, RV, and FWHM observations, we found a semi-amplitude of K = 1.68 +/- (0.39, 0.38) m s^-1 and a planet mass of M_p = 10.6 +/- (2.5, 2.4) M_earth. Kepler-538b is the smallest planet beyond P = 50 d with an RV mass measurement. The planet likely consists of a significant fraction of ices (dominated by water ice), in addition to rocks/metals, and a small amount of gas. Sophisticated modeling techniques such as those used in this paper, combined with future spectrographs with ultra high-precision and stability will be vital for yielding more mass measurements in this poorly understood exoplanet regime. This in turn will improve our understanding of the relationship between planet composition and insolation flux and how the rocky to gaseous transition depends on planetary equilibrium temperature

    Transitioning to more sustainable, low-emissions agriculture in Brazil

    Get PDF
    KEY FINDINGS Cattle producers joined sustainability initiatives primarily to increase production, reduce production costs, learn new practices and access innovations, and because of their interest in sustainability. Farmers who shifted to sustainable intensification practices increased their productivity. Some also accessed new markets and a minority earned higher prices. Producers sought farming advice mostly from nearby farmers and technicians promoting sustainability initiatives. The cost of changing farm practices, insufficient technical assistance or capacity, and difficulty in complying with legal standards were the major barriers preventing other cattle producers from participating in sustainability initiatives. The greenhouse gas (GHG) emissions per kg of beef of cattle farmers in sustainable intensification programs were 18% lower compared to neighboring farms not in the programs. Early life-cycle cattle ranching (e.g. calving, early rearing), commonly associated with deforestation, has been more engaged with NGO initiatives providing support and agronomic outreach rather than formal standards and reporting. Coffee Coffee farmers joined a certification program because of requests from buyers, potential for receiving price premiums on their coffee, and to access new markets with certified products. Coffee farmers producing certified coffee increased their economic efficiency, mainly due to higher productivity, compared to before they certified. Coffee producers' connections to technicians and access to information mostly revolved around their participation in cooperatives.POLICY RECOMMENDATIONS Build on market development lessons from the coffee sector to enhance sustainability, quality, traceability, and branding in the cattle sector. Expand sustainability initiatives’ capacity to deliver market access, technical assistance, and finance services to more cattle farmers. Continue support to producers in sustainability initiatives over multiple years, as they are likely to increase the sustainability of their practices with time. Expand agronomic outreach and sustainability initiatives to calving and early rearing operations to reduce associated deforestation and GHG emissions
    corecore